AI Job Risk Reports
Browse 789+ profession risk reports. Each one analyzes which tasks are at risk, which are protected, and what the timeline looks like.
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Professions Analyzed
77
High Risk Jobs
221
Adapting Jobs
491
Safe Jobs
Routine accounting is being automated now. Advisory roles are not.
AI is automating bookkeeping, standard reporting, and routine audit sampling. Firms using AI-augmented accountants are undercutting those that haven't restructured.
AI can clone voices, generate digital humans, and fill crowd scenes without contracts or residuals. Background, voice, and commercial work are under severe pressure.
AI is automating actuarial modelling and data work rapidly. The regulatory requirement for human sign-off protects the credential — but the work behind it is changing fast.
Acupuncturists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Repetitive machine operation is exactly what robotics and AI were built to replace. This role is under severe long-term pressure, and honest career planning needs to account for that.
AI is handling the research and paperwork load, but the legal authority to preside and decide requires a credentialed human judge. The role is changing, not disappearing.
AI helps administrative services managers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is automating media buying, ad copy testing, and campaign optimisation. The strategic and creative leadership role survives, but the execution layer underneath it is shrinking fast.
AI is changing how advertising sales agents work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is taking over the monitoring, documentation, and routine checklist work. The hands-on assembly, fault diagnosis, and safety judgment that aerospace standards demand still need a trained human in the room.
AI handles the computational grunt work — design iterations, FEA runs, documentation. The engineering judgment behind those results is still yours. For now.
AI handles the research, royalty tracking, and contract review. The relationships with studios, labels, and casting directors that get clients called first — those still run through a person.
AI is handling data analysis and design optimisation that used to take weeks. Agricultural engineers who direct these tools — and apply the site-specific, regulatory, and biological judgment that no algorithm has — will do more with less.
John Deere sold a fully autonomous tractor in 2022 that drives itself, plants, and harvests with no operator. GPS-guided auto-steer is already standard on most large commercial equipment. The operator seat is the first thing to go.
AI vision systems and drone monitoring are handling broad crop health and produce grading faster than any inspector. The regulatory authority to issue a citation or fail a facility still requires a credentialed human.
AI is replacing the low-stakes parts of university teaching — grading, content delivery, basic tutoring. What stays human is the mentorship, lab supervision, and applied field experience that agricultural science actually requires.
AI is automating the data collection and routine analysis that agricultural technicians spent most of their time on. The fieldwork requiring hands-on judgment stays human — for now.
Farm robots are not coming — they are here. John Deere sold its first fully autonomous tractor in 2022. Weeding robots, robotic milkers, and fruit-picking arms are operational on commercial farms right now.
Routine separation monitoring and routing are being automated. The job that survives is the one that handles what automation cannot: emergencies, novel situations, and the legal authority that only a certified human can hold.
AI handles cargo tracking, weight-and-balance calculations, and scheduling. Ramp safety supervision, dangerous goods decisions, and team management under time pressure still need a trained human in charge.
AI predicts failures and AR overlays guide repairs. But every maintenance action on a certificated aircraft requires a human signature — and the global shortage of licensed A&P mechanics means demand is outrunning supply.
Autonomous fueling robots and semi-autonomous tow tractors exist and are being trialled. The physical complexity of a live ramp — with moving aircraft, fuel trucks, and weather variables — is slowing deployment, not stopping it.
AI handles airfield monitoring and scheduling. The FAA-certificated role of physically inspecting runways, managing wildlife hazards, and coordinating ground operations in real time still requires a trained human on the airfield.
Most of cruise flight is already automated. The pilot's core value in 2026 is decision-making under pressure, not flying the plane — and regulators are not ready to remove that human from the cockpit.
The routing is handled by GPS. Documentation is going electronic. The parts that matter — driving an emergency vehicle through traffic, handling a distressed patient, and making real-time clinical observations — still need a trained human.
Self-service kiosks handle ticket sales and queue management software replaces manual crowd counting. The parts that require physical presence — ride safety checks, emergency response, helping a lost child — still need a person on site.
Closed-loop AI anesthesia systems exist in research and are approved for low-risk sedation. For complex surgical cases, airway emergencies, and intraoperative crisis management, a physician anesthesiologist is still the standard — and medical liability law reinforces that standard.
Genomic selection AI now predicts breeding values from a DNA chip more accurately than visual evaluation alone. The calculation side is largely automated — the physical reproductive management, neonatal care, and conformation judgment still sit with a skilled breeder.
Animals need feeding, cleaning, monitoring, and hands-on care. Automated feeders and AI health monitors help, but the physical presence, observation, and judgment that quality animal care requires is not going anywhere soon.
Animal Control Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps animal scientists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Training animals requires reading their individual behaviour, building trust through repetition, and physically shaping responses over time. AI can track training progress and analyse video — it cannot build the relationship that makes training work.
AI accelerates artifact identification, spatial analysis, and pattern detection in large datasets. Fieldwork, contextual interpretation, and the ethnographic relationships that produce original research still require trained humans on site.
AI handles grading rubrics and AI-detection. The seminar discussion, the field school that makes a student an archaeologist, and the mentorship that gets a graduate placed — those still sit with a faculty member.
Automated Valuation Models do what appraisers do — quickly and cheaply — for standard residential properties. The regulatory requirement for a licensed appraiser signature on mortgage transactions is the main line of defence, and that line is being tested.
Standard vehicle and equipment valuations are nearly fully automated by VIN-based databases. Art, jewelry, antiques, and specialised business equipment still require a trained appraiser with hands-on expertise and market access.
AI reads documents faster than any arbitrator and finds relevant precedent in seconds. The authority to issue a binding award, assess witness credibility, and exercise the procedural discretion that gives arbitration its value is not transferable to software.
Generative design AI produces thousands of building layout options in minutes. Architects still design the brief, exercise design judgment, navigate client relationships, and stamp the drawings — none of which AI can do.
AI drafting tools and parametric BIM automation are producing construction documents faster than manual CAD drafters. The profession is contracting — the path forward is moving up into BIM coordination and technical design roles, not staying at the drawing board.
Project dashboards and resource planning tools run automatically. Deciding which projects to take, resolving a dispute between the structural and mechanical teams under a deadline, and managing a client whose expectations have shifted — those decisions are still with the manager.
AI generates building images and design options instantly. Teaching students to make design decisions, critique spatial quality, and develop professional judgment in the studio still requires a practising architect who can sit across from a student and push their thinking.
AI reads handwritten historical documents and generates metadata from scanned collections faster than any human cataloguer. Evaluating which records have permanent historical value, and making them genuinely accessible to researchers, still requires professional training.
AI generates imagery, layouts, and design variations in seconds. Art directors who set visual strategy, translate client objectives into aesthetic decisions, and direct teams producing that work are harder to replace than the execution they previously supervised.
Stock illustration and commercial digital art have been hit hardest — clients who previously commissioned illustrations now use Midjourney. Fine artists, craft artists, and those with a recognisable personal style face less displacement, but the commercial illustration market has contracted significantly.
Industrial robots from FANUC, KUKA, and ABB have been handling high-volume repetitive assembly since the 1980s. Collaborative robots (cobots) from Universal Robots are now moving into mid-volume work. The remaining human roles concentrate on variable, complex, and safety-critical assembly that robots handle poorly.
Machine learning classifies galaxies, detects exoplanets, and identifies gravitational lenses faster than any human can process the data. Designing the research question, interpreting anomalous results, and proposing the next observation still require a trained scientist.
AI analyses performance data, optimises training loads, and scouts opponents. The competition itself — the physical performance, the split-second decision, the crowd — cannot be automated. AI makes athletes better; it does not replace them.
AI predicts injury risk from workload and movement data. Athletic trainers assess the injured athlete, decide whether they can return to play, and provide the hands-on rehabilitation that brings them back. That clinical judgment and physical care cannot be automated.
Google DeepMind's GraphCast AI model now outperforms the European Centre's supercomputer-based forecast on standard metrics. But research-grade atmospheric science — designing field campaigns, interpreting unexpected climate data, and communicating findings to policymakers — still requires human scientists.
AI handles noise reduction, colour correction, and basic editing automatically. The technician running live sound for a concert, operating cameras at a broadcast, or troubleshooting a failed stream in real time is still making judgment calls that software cannot make.
AI hearing aids now automatically adapt to acoustic environments in real time. Diagnosing the type and cause of a patient's hearing loss, selecting and fitting the right amplification, and providing aural rehabilitation requires a clinician trained to understand and address what the patient is actually experiencing.
Remote monitoring platforms now flag cable faults and equipment failures before users notice. The technician climbing into a ceiling grid to run conduit, terminate a Dante network, or commission a Crestron control system is still doing work that requires hands, tools, and on-site technical judgment.
Pay-at-the-pump eliminated the full-service gas station across most of the US. Automated car washes handle the volume. The attendants who remain work at marinas, full-service stations in New Jersey and Oregon, and facilities where customer assistance and physical safety tasks still require a person.
AI photo estimating tools now assess minor collision damage from customer-submitted photos. The technician pulling a damaged frame back to OEM spec on a frame rack, replacing a quarter panel on a unibody structure, blending paint to factory finish, and calibrating ADAS sensors after structural repair is doing work that no robot handles at commercial scale in 2026.
Automated systems can match and cut replacement glass. The technician removing the old windshield without damaging the pinch weld, bonding the new glass to OEM urethane specifications, and calibrating the forward-facing ADAS camera behind it is doing work that mobile robots cannot do at commercial scale in 2026.
AI diagnostic tools now interpret fault codes, recommend fixes, and guide technicians through repair procedures. The mechanic who can diagnose an intermittent electrical fault on a modern vehicle with 200+ sensors, or safely isolate a high-voltage EV battery system for repair, is doing work that software assists but cannot replace.
Aircraft Built-In Test Equipment (BITE) flags faults automatically and AI-assisted diagnostics surface repair guidance faster. The technician who must sign an FAA-approved maintenance release verifying the aircraft is airworthy is still the required human in the loop — and there is a shortage of them.
Self-check-in kiosks and robotic luggage carts have automated the transactional parts of this job. The bellhop who learns a returning guest's name, gives a real local recommendation, and handles a complicated check-in gracefully is providing a service that robots have not displaced in practice at the venues where this role survives.
Courtroom security software tracks cases and flags scheduling conflicts automatically. The bailiff maintaining order in an active courtroom, managing the physical movement of defendants in custody, and executing judicial orders in the community cannot be replaced by a system that cannot physically intervene.
Industrial bread production lines are heavily automated — Rheon and Rondo machines handle lamination, shaping, and scaling at commercial volume. Artisan bakers producing hand-shaped sourdough, decorative pastry, and custom celebration cakes are working with skills that take years to develop and that customers specifically seek out.
Online booking and automated appointment reminders handle scheduling. Robotic haircut machines exist as novelty products. The barber giving a precise skin fade, reading a client's scalp and hair texture to adapt the cut, and providing 25 minutes of genuine conversation is providing a service that no robot delivers at the standard clients will pay for.
Robotic cocktail machines exist at airports and trade shows. They haven't displaced bartenders at regular bars and restaurants because the drink is not the whole product. The craft knowledge, the conversation, the read on the room — these are what customers are buying when they sit at a bar.
No robot trues a wheel by feel or diagnoses an intermittent creak under pedalling load. The bicycle mechanic diagnosing a carbon frame crack, rebuilding a Shimano Di2 electronic drivetrain, or servicing an e-bike motor with a proprietary software interface is doing work that requires trained hands and judgment.
AI-powered dialer systems already make thousands of collection calls per hour, negotiate payment arrangements, and handle FDCPA-compliant scripts automatically. The collector who handles disputes that require human judgment, navigates complex financial hardship situations, and manages accounts where legal escalation is needed still has a role — but the routine contact work is substantially automated.
Medical billing software, RPA, and AI now handle most of the routine charge entry, claims submission, and payment posting that this role was built around. The clerks who survive will be resolving claim denials and insurance disputes that require understanding of payer rules — not entering data that the EHR already captured.
AlphaFold2 solved protein structure prediction — a problem that took X-ray crystallography years to answer per protein. Biochemists and biophysicists now use AlphaFold outputs as starting points for their work rather than spending years generating them. The experimental validation, mechanistic interpretation, and novel hypothesis generation remain human science.
AI tools are accelerating medical device design iteration and generating novel biomaterial candidates. The engineer responsible for a 510(k) submission to the FDA — defining device specifications, conducting risk analysis to ISO 14971, and justifying design choices that affect patient safety — remains a licensed professional whose work cannot be delegated to an algorithm.
AI tutoring platforms now answer student questions about cell division and photosynthesis accurately and patiently at 2am. The professor running a dissection lab, supervising field ecology, mentoring an undergraduate research project, and leading the seminar discussion where students defend their interpretation of a study is doing work that a chatbot cannot replicate.
AI classifies cells in microscopy images, identifies gene expression patterns in single-cell RNA data, and screens millions of candidate compounds in silico. Biological scientists design the experiments that generate the data AI analyses, interpret results that don't fit the model, and advance understanding of living systems that no algorithm yet discovers independently.
Liquid handling robots from Hamilton and Tecan now run PCR setup, serial dilution, and plate reformatting without human pipetting. Biological technicians who operate, calibrate, and troubleshoot these platforms — and who handle the live cell culture and organism work that robots cannot — are more durable than those doing the pipetting the robots replaced.
Ultrasonic thickness testing and AI-assisted inspection platforms now flag corrosion and defects in boiler and pressure vessel systems. The boilermaker welding inside a confined space vessel to ASME Section IX procedure, fitting a new header in a power generation plant, or performing a National Board R-Stamp repair still requires a certified tradesperson on site.
QuickBooks AI, Xero, and Vic.ai are automating the core tasks of this role — transaction coding, bank reconciliation, invoice processing — at scale. Firms are doing more with fewer clerks.
The SAM100 bricklaying robot can lay 3,000 bricks per day versus a skilled mason's 500. It also cannot set corners, handle non-standard layouts, work on restoration projects, or adapt to field conditions. The mason doing detailed archwork, restoration pointing, or custom fireplace construction is doing work that robotic systems cannot handle in 2026.
Most movable bridges in modern infrastructure are already remotely operated or automated. Canal and waterway lock systems are following the same path. The tenders who remain oversee safety-critical infrastructure where automation failure demands human backup, or work historic sites where manual operation is maintained by regulation.
Radio stations are already deploying AI voice clones of real DJs to fill overnight and weekend slots. Sports play-by-play announcers, news anchors with live event accountability, and local radio personalities with genuine audience relationships are more durable — but the profession is contracting at the entry level.
Automated master control playout systems now handle routine scheduling and transmission at many stations. The technician operating a live production switcher during a sports broadcast, troubleshooting a satellite uplink failure mid-show, or configuring an IP-based broadcast infrastructure for a new facility is doing work that requires trained hands and real-time judgment.
Broadridge and DTCC have automated the core of securities trade processing — confirmation, settlement, and record-keeping that once required large back-office clerk workforces. The clerks who remain work on exception handling, complex corporate actions, client onboarding documentation, and regulatory reporting that AI still gets wrong often enough to require human review.
Planful, Anaplan, and Workday Adaptive Planning now run variance analysis, rolling forecasts, and what-if scenarios in minutes that once took a budget analyst days to produce in Excel. The analyst explaining a $4M unfavourable variance to a CFO, building political consensus around a cut to a department's headcount budget, or finding the flaw in a capital proposal that the model missed is doing work that AI-generated outputs do not replace.
Avidbots Neo and Brain Corp-powered autonomous floor scrubbers now operate overnight in warehouses, airports, and large retail stores. They handle straight-line floor polishing on open, predictable surfaces well. The cleaner working a hospital operating suite, servicing multi-stall restrooms, or handling a biohazard spill is doing work that requires trained hands, judgment, and safe chemical handling protocols that autonomous systems cannot manage.
Cummins INSITE, Detroit Diesel DiagnosticLink, and Allison DOC generate fault codes and guided diagnostic trees that point mechanics toward the likely fault. They do not replace the mechanic who verifies that the sensor data matches what the engine actually does under load, physically accesses a starter motor buried behind a frame rail, or rebuilds an air disc brake caliper that a code scanner cannot even detect is worn.
Navya and EasyMile autonomous shuttle pods operate fixed routes at low speeds in controlled environments — airports, campuses, and dedicated transit lanes. They do not operate a 45-foot motorcoach through downtown Atlanta in construction traffic, manage a vehicle full of school children during an emergency, or navigate a street-level transit route that changes daily. CDL-licensed bus drivers are the profession most likely to be affected by autonomous vehicle technology over the long term, but the timeline is slower than the hype suggests.
AI handles data aggregation, report generation, and workflow documentation faster than any operations analyst working in Excel and Word. The specialist redesigning a broken cross-functional process, identifying why a KPI is deteriorating despite good-looking metrics, or driving adoption of a change that three stakeholders have competing interests in is doing work that requires organisational judgment and influence that AI cannot replicate.
AI tutors handle content delivery, practice problems, and basic concept clarification at a level that was previously impossible to scale. The business professor running a live case study discussion where students must defend positions, mentoring a student through a career decision based on knowing their specific goals and limitations, or designing a course around a live consulting project with a real company is doing work AI cannot replicate.
Scott Technology and Marel have deployed robotic carcass processing systems that handle primal cuts, deboning, and trimming in high-throughput meatpacking plants. These systems process beef, lamb, and pork more consistently than human workers on repetitive high-volume lines. The craft butcher breaking down a whole animal to order, seaming out specific muscles for a restaurant customer, or dry-aging and portioning specialty cuts is doing work that robotic processing lines do not handle.
SAP Ariba, Coupa, and Jaggaer now automate purchase order generation, supplier matching, and spend analytics for routine procurement categories. The buyer negotiating contract terms with a single-source component supplier during a semiconductor shortage, evaluating a new vendor on quality and delivery risk, or managing a supply disruption that requires fast alternative sourcing is doing work that procurement platforms produce data to support but cannot execute.
CNC routers running Cabinet Vision and Mozaik software now cut box parts, doors, and drawer fronts faster and more accurately than a bench carpenter working by hand on production runs. The cabinetmaker designing a custom built-in with irregular angles, hand-fitting face frames to an out-of-plumb wall, or matching a historical millwork profile for a renovation is doing work that production CNC cannot replicate.
Beamex CMX and Fluke calibration management systems schedule calibration intervals, generate calibration certificates, and track instrument status automatically. The technician verifying that a pressure transmitter on a pharmaceutical filling line reads within tolerance against a NIST-traceable dead-weight tester, calculating measurement uncertainty for an ISO/IEC 17025 scope extension, or diagnosing why a reference standard has drifted out of spec is doing work that requires trained hands and metrological judgment.
No robot cleans a full-frame sensor, aligns a rangefinder, or adjusts a shutter to within 1/500th of a second of spec using a lens alignment bench. The technician diagnosing an intermittent autofocus failure on a professional cinema lens, servicing a Leica M body to factory tolerances, or replacing a shutter on a medium format camera is doing precision bench work that requires trained hands and optical judgment.
AI-powered PTZ cameras and robotic camera systems are deployed in sports arenas and studio environments for predictable, fixed-coverage shots. The operator pulling focus on a moving subject with a Preston FIZ at 35mm on a cinema production, operating a handheld ARRI through an unscripted crowd, or reading the energy of a live event and framing the decisive moment is doing work that autonomous camera systems cannot replicate.
ECDIS, AIS, and integrated bridge systems have automated chart plotting, collision avoidance calculation, and voyage data recording. The licensed master navigating a loaded tanker through the Port of Houston in fog, the harbour pilot manoeuvring a containership against a 15-knot crosswind at a berth, and the tugboat captain managing an emergency tow are exercising command judgment that no autonomous vessel system handles at commercial scale in US waters.
Viz.ai flags large vessel occlusion strokes from CT angiograms faster than a radiologist can open the study. AliveCor's Kardia interprets ECGs at scale. HeartFlow's FFRCT models coronary flow reserve from CT without invasive catheterisation. These tools are changing how cardiologists work — but the interventional cardiologist performing a complex PCI, the electrophysiologist ablating a refractory arrhythmia, and the clinician integrating all the data to make a treatment decision that accounts for a patient's values remains irreplaceable.
AI echocardiography platforms from GE HealthCare and Philips now measure ejection fraction, chamber dimensions, and wall motion scores automatically from acquired images. They do not acquire those images. The cardiac sonographer positioning the probe to obtain a diagnostic-quality apical four-chamber view on a post-surgical patient with a ventilated lung, the cath lab technician managing patient haemodynamics during an emergency PTCA, and the electrophysiology tech monitoring ablation catheter positions in real time are performing work that requires trained hands and clinical situational awareness.
No AI teaches a student to weld a 6G pipe joint, run a straight-line stitch on industrial sewing equipment, or safely draw blood from an uncooperative vein. The CTE teacher demonstrating technique in a live shop, diagnosing why a student's circuit won't light, and building the industry-connected programme that gets graduates hired is doing work that online course platforms and AI tutors cannot replicate.
CargoWise, Flexport, and modern TMS platforms have automated booking, documentation generation, and shipment tracking for standard freight moves. The agent managing a perishable air freight shipment caught in a weather delay, resolving a customs hold on a high-value electronics shipment, or navigating a cargo claim dispute for damaged goods is doing work that freight platforms generate data to support but cannot resolve.
Estimating software generates material takeoffs from digital plans, and construction management platforms update project schedules automatically. No robot frames a wall on a slab that isn't level, installs a stair that has to land precisely between two floors, or trims out a custom doorway on a site where nothing is plumb. Finish carpentry, complex framing, and site-adapted custom work remain entirely hands-on in 2026.
Estimating software handles material takeoffs from room dimensions, and scheduling apps manage job calendars automatically. No robot stretches carpet around a curved staircase, seams a pattern match on a diagonal cut, or fixes a subfloor issue discovered mid-install. The physical, adaptive skill of professional carpet installation has no automated replacement in 2026.
Pix4D and DroneDeploy process drone imagery into 3D point clouds automatically. Esri's AI tools classify land cover from satellite imagery at scales no human analyst can match. The cartographer defining what a map needs to communicate, deciding what data sources to trust, or solving an ambiguous boundary dispute on a complex cadastral project is doing work that automated processing pipelines do not handle.
Amazon Go stores operate without cashiers. Walmart, Kroger, and Target have deployed self-checkout at scale. NCR and Diebold Nixdorf automated checkout systems now handle transactions that employed cashiers a decade ago. The cashier managing a system failure, handling a customer dispute, approving an age-restricted purchase, or processing a complex return is doing the exception work that automated checkouts still need a human for.
Somero laser screeds level large commercial floor pours automatically. Concrete pumping and volumetric mixer technology has reduced some manual placing work. No machine floats a burnished architectural floor to a mirror finish, stamps a decorative pattern on a residential patio, or repairs a deteriorated parking structure where every section is in a different condition. Hand finishing, decorative work, and adaptive repair remain entirely beyond what concrete automation can do.
Toast and 7shifts have automated shift scheduling and inventory tracking for most restaurant kitchens. Automated fryers and burger-grilling robots are deployed at specific fast food chains. The chef developing a seasonal menu, training cooks on a new preparation, adjusting a dish live during service because a key ingredient came in wrong, or maintaining the kitchen culture that keeps a crew showing up — none of that is automated.
Aspen HYSYS simulates distillation columns and reactor networks automatically. AI-assisted process optimisation tools run heat and mass balance calculations that once took engineers weeks. The chemical engineer designing a novel catalytic process from scratch, conducting a HAZOP on a new plant design, or troubleshooting why a reactor product distribution has shifted — that requires engineering judgment that simulation software produces inputs for but cannot exercise.
DCS and PLC automation handles routine setpoint control on reactors, distillation columns, and filtration equipment automatically. Batch management systems run standard production sequences without an operator making manual adjustments. The operator managing an unexpected process upset, responding to an interlocked shutdown during a storm, or troubleshooting why a batch result is off-specification is doing exception management work that automated systems generate alarms about but cannot resolve.
Honeywell Experion and Emerson DeltaV run the routine control loops on distillation columns, reactors, and heat exchangers at modern chemical plants. AI analytics platforms built on process historians identify developing issues before they become problems. The control room operator managing a major process deviation, coordinating a unit startup after a maintenance outage, or deciding how to respond when multiple alarms activate simultaneously is exercising judgment that DCS automation generates information for but cannot replace.
Routine sample prep and standard HPLC/GC runs are increasingly automated, but method development, instrument troubleshooting, and complex-matrix work still require a trained technician.
AI handles lesson planning, grading, and virtual simulations well — but it cannot supervise a student handling concentrated acid, demonstrate burette technique, or explain why an experiment went wrong.
AI accelerates literature review and data analysis, but experimental design, hypothesis generation, and interpreting unexpected results are still firmly human work.
Board reports and dashboard monitoring are largely automated now, but the CEO's core job — direction-setting, trust-building, and navigating crises — cannot be scripted.
Childcare is one of the most automation-resistant jobs there is — it requires physical presence, emotional attunement, and real-time safety supervision that no software can replicate.
Chiropractic diagnosis and manipulation require hands-on physical skill and clinical judgment — the tools are changing, but the trained practitioner in the room is non-negotiable.
AI generates movement sequences and music tracks, but creating choreography that communicates something specific to a live audience through trained bodies is still entirely human work.
AI is automating civil engineering calculations and documentation, but field verification, site-specific problem-solving, and instrument operation still require a trained technician.
AI handles calculations and drafting faster than any engineer, but design judgment, PE-stamped responsibility, and site-specific decisions still need a licensed professional.
AI is already handling straightforward property and auto claims end-to-end — the jobs that survive will be the complex, contested, and high-stakes ones.
Automated car washes handle the volume work, but paint correction, ceramic coating, and specialty detailing still require trained hands and professional judgment.
Clergy deliver presence, pastoral care, and spiritual guidance in moments of genuine human need — there is no software substitute for that.
AI handles documentation and psychoeducation efficiently, but the therapeutic relationship and clinical judgment at the core of psychology cannot be automated.
Player tracking and video analysis are now automated, but tactical decisions, athlete development, and reading a team's psychology mid-game still require a coach in the room.
Automated winding machines handle standard coil production, but precision custom work, quality diagnosis, and machine setup for non-standard specifications still need a skilled operator.
AI generates concept variations and renders products faster than any designer, but the human judgment about what actually works for real users in the real world is still the hard part.
ROVs handle inspection and light tasks in accessible conditions, but saturation diving, underwater welding, and emergency operations in complex environments still require a trained human diver.
Autopilot handles most of the airborne flying, but abnormal procedures, crew management, and the judgment calls in complex situations still need a trained pilot holding the licence.
A lot of everyday communications equipment operators work is already being done by AI. The roles that survive will look very different from today.
Communications Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Case management documentation and eligibility screening are being automated, but the advocacy, relationship-building, and crisis navigation at the core of social services remain human work.
Community health workers are trusted community members — their value is in the relationships and cultural context they bring to health outreach, which no app can replicate.
Market pricing surveys and benefits benchmarking are being automated, but structuring pay programmes that attract talent, comply with regulations, and survive board scrutiny still requires an expert.
Routine regulatory monitoring and documentation are being automated, but interpreting ambiguous rules, advising on novel situations, and making judgment calls with real consequences still need a qualified compliance professional.
AI can write code and run experiments, but formulating genuinely novel research questions, designing studies, and advancing the field's understanding still require a trained researcher.
IT infrastructure monitoring and incident response are largely automated, but technology strategy, vendor decisions, and building engineering teams still require experienced leadership.
AI is accelerating chip design and simulation, but hardware verification, physical testing, and the systems judgment to integrate complex silicon reliably still require an experienced engineer.
Automated provisioning and network monitoring have absorbed the routine work, but designing networks for complex security requirements, hybrid cloud environments, and resilience under failure is still an expert job.
Automated monitoring tools handle most routine diagnostics, but troubleshooting real-world failures that don't match known patterns still requires someone with hands-on network experience.
Automated loading systems and in-process inspection are taking over the repetitive cycle work, but setting up new jobs, troubleshooting tooling failures, and making first-article quality calls still need an experienced operator.
CAM software generates toolpaths automatically for standard geometries, but programming complex 5-axis parts, writing efficient post-processors, and catching fixtures problems before they become scrap still requires an experienced programmer.
AI coding assistants can generate working code from descriptions, but debugging complex systems, designing software architecture, and making security-aware implementation decisions still need an experienced programmer.
AI can explain algorithms and grade code, but recognising when a student is genuinely lost versus just stuck, and building the confidence to persist through difficult problems, are things that happen in the relationship between a teacher and student.
Documentation generation and requirements gathering are being streamlined, but translating ambiguous business needs into coherent systems design and navigating the organisational complexity of enterprise IT still requires experienced judgment.
Chatbots handle most password resets and known-issue FAQs, but diagnosing problems that span hardware, software, and user error — and supporting the non-technical users who struggle most — still needs a patient human with real diagnostic skill.
Digital concierge apps handle standard requests and information lookup, but the personal recommendations, problem-solving under pressure, and human warmth that turn a stay into a memorable experience are not something a chatbot replicates.
Remote sensing and species distribution models are automating wildlife survey analysis, but designing conservation interventions, navigating land-use conflicts, and translating science into policy still require an experienced scientist on the ground.
Drone surveys and AI image analysis can flag obvious defects remotely, but code compliance judgments, interpreting complex building plans, and signing off on structural work still require a licensed inspector who can be held accountable.
Prefab components and automated layout tools are changing the rhythm of construction work, but the range of conditions, materials, and problems on a live site keeps the skilled worker central. The most automatable tasks are repetitive physical work — the judgment-heavy, coordination-heavy work remains.
Robotic tools are entering construction for specific repetitive tasks, but the unstructured, variable nature of most construction sites means general construction labour remains highly resistant to full automation.
AI is taking over scheduling updates and cost tracking, but managing subcontractors, resolving site conflicts, and making the real-time calls that keep a complex project on track still need an experienced construction professional.
Autonomous and remote-controlled mining machines are reducing crew requirements in underground operations, but reading underground conditions, responding to roof falls, and managing equipment failures in confined seams still need an experienced operator.
Smart valve diagnostics and remote monitoring have reduced routine service calls, but calibrating control systems to specific process conditions, diagnosing field failures, and working in hazardous process environments still require a trained technician on site.
Automated conveyor systems with PLC controls handle the routine operation already, and the remaining manual roles are shrinking as sensors and PLCs replace the monitoring and adjustment work that operators used to do.
Robotic fryers and automated prep equipment handle volume repetition, but cooking to order, adapting to substitutions, and the judgment that separates a competent kitchen from a good one is still driven by the people behind the pass.
Automated temperature control and SCADA monitoring have taken over routine cycle management, but diagnosing equipment failures, maintaining refrigeration systems, and managing the cold chain integrity on complex lines still needs a trained operator.
Direct response copy and volume content are heavily automated. Brand voice strategy is not.
Surveillance technology and inmate tracking systems have replaced some physical patrol work, but de-escalating volatile situations, maintaining order in a facility, and making the judgment calls that affect safety and rehabilitation still require trained officers.
AI drafts, edits, and routes standard correspondence faster than any human typist. The role as historically defined is in structural decline — but clerks who understand the documents they handle and can manage exceptions remain useful.
AI-powered estimating tools generate takeoffs and preliminary pricing faster than any manual method, but understanding why an estimate will be wrong in a specific context — project complexity, site conditions, supply chain risk — still requires an experienced estimator.
AI costume design tools can generate reference imagery, but the physical work of garment maintenance, quick-changes, and keeping a live production running requires skilled hands in the wing every night.
AI note-writing tools are reducing documentation burden, but the therapeutic relationship — holding space for a client's experience, responding to what emerges in a session, and building trust over time — is irreducibly human.
Online booking and self-service kiosks have automated the routine transaction side of rental and counter work, but damage disputes, equipment recommendations for unusual needs, and managing the problems that arise at pickup still need a person.
Drone and robot delivery is scaling fast for standardised packages, and AI route optimisation has made the routing work fully automated. The role is in structural decline except for specialised high-security and time-critical courier work.
AI transcription tools can produce 98% accurate transcripts for clean audio, but legal proceedings require verbatim accuracy that accounts for crosstalk, mumbling, technical terminology, and the real-time interventions that only a certified reporter can provide.
AI can generate imagery for reference and digital design tools can accelerate production work, but the physical making — the hand skills that give handmade objects their value — is exactly what buyers are paying for, and it cannot be automated.
Remote-controlled and semi-autonomous cranes are advancing in port and industrial settings, but operating a tower crane on a complex urban construction site still requires a trained operator with the spatial judgment and situational awareness that automation cannot replicate.
Automated credit scoring models handle standard retail credit decisions end-to-end, but complex commercial credit analysis, covenant negotiations, and assessing businesses in distress still require a trained analyst who can think beyond the model.
Automated credit decisioning systems now handle the vast majority of credit authorisation volume without human review. The residual human role is exception management — and that segment is shrinking as models improve.
Automated budgeting apps and debt repayment calculators handle the basic analysis, but helping someone face the emotional reality of unmanageable debt and build a sustainable plan they'll actually stick to is still a human conversation.
Cremation retort controls are increasingly automated, but the regulatory compliance, identification verification, and dignified handling of human remains that crematory work requires still depends on a trained and licensed professional.
AI tools handle assessment generation and some instructional delivery, but teaching criminal justice requires practitioner experience that no automated platform can replicate — students learning to think about law, ethics, and evidence need instructors who have worked in the field.
Automated traffic signals and connected vehicle technology are taking on some traffic control functions, but the real-time judgment and physical presence required for pedestrian safety and construction zone traffic management remain human responsibilities.
AI is automating collection cataloguing and provenance research, but the scholarly judgment behind an exhibition, the decisions about what collections mean, and the public programming that brings objects to life are still driven by trained curators.
AI chatbots now handle most routine queries without human involvement. The representatives who remain are handling escalations, complex situations, and interactions where a human connection makes a tangible difference — and the competition for those roles is intense.
Hand cutting and trimming is among the more directly automatable manual operations. Automated cutting systems handle standardised, high-volume work. The durable work is in irregular materials, artisan and custom production, and quality assessment where automated systems can't maintain consistent results.
The operator tier — running pre-configured cutting machines in steady state — faces serious automation pressure from PLCs and servo controls. The setter tier — configuring equipment for new runs, calibrating to specification, and diagnosing quality deviations — is more durable. The gap between these two positions is widening.
AI-generated choreography and digital performance tools are entering the industry, but live performance — the embodied presence, the responsiveness to a live audience, the athleticism and artistry of a trained body — is not something AI reproduces. The administrative and promotional parts of a dance career are where AI tools actually help.
Standard reporting and dashboards are being automated by AI tools that let business stakeholders query data in plain English. The analyst who defines the right questions, interprets results in business context, and drives decisions rather than reports is in a stronger position.
Manual data entry is one of the most directly automatable tasks in any office. OCR, RPA, and form-processing AI have eliminated or drastically reduced data entry headcount at most organisations that have modernised their workflows. The roles that remain concentrate in government, healthcare, and compliance-heavy environments where process change is slow.
AutoML and AI coding assistants are lowering the barrier for building models, but defining the right problem, understanding the business context, and translating statistical findings into decisions that organisations actually act on is still distinctly human work.
Cloud-managed database services have automated a large part of routine DBA work — backups, patching, scaling, and performance tuning assistance are now platform features. DBAs who understand the platform deeply, manage complex environments, and handle security and architecture decisions are in a much more durable position than those doing only routine maintenance.
AI-assisted schema generation and platform recommendations can suggest database designs, but the architectural decisions that shape how data flows across a system — choosing between relational, document, and analytical models; designing for scale, compliance, and integration — still require a human who understands the whole technical and business context.
Live product demonstrations — the Costco food sampling station, the trade show booth, the in-store beauty counter demonstration — rely on human presence, enthusiasm, and the ability to read shoppers and adapt the pitch in real time. The administrative and reporting side of the role is being automated.
Chairside assistance — passing instruments, managing suction, mixing materials, and supporting patient comfort during procedures — requires physical presence and real-time response that AI doesn't replace. The administrative and scheduling work is being automated, but that's a smaller part of the role.
Prophylaxis, periodontal treatment, and patient education — the core of hygiene practice — require physical presence, clinical judgment, and interpersonal communication that AI doesn't replicate. AI is entering the imaging and documentation workflow, which reduces administrative burden rather than displacing the clinical role.
CAD/CAM dental milling systems have automated the fabrication of crowns, bridges, and veneers that used to require hand-wax and cast metal work. The remaining technician work is in complex restorations, implant prosthetics, and the aesthetic finishing that digital systems still don't match for demanding cases.
AI is entering dental imaging with real capability — automated caries and bone loss detection on radiographs is genuinely useful. But the diagnosis, treatment planning, and clinical execution of dental procedures require a licensed professional making judgment calls in a patient's mouth. That's not changing.
AI skin lesion analysis has reached clinical-grade accuracy for specific tasks — melanoma detection on dermoscopic images is one of the genuinely impressive AI clinical achievements. But dermatology is far more than lesion classification: it's a comprehensive medical specialty involving complex diagnoses, systemic disease, procedures, and patient relationships that AI assists rather than replaces.
Automated drilling controls and remote monitoring have taken over much of the parameter-watching work on modern rigs, but operating derrick equipment safely at height, responding to well control situations, and maintaining tubular handling equipment in the harsh conditions of a drilling rig requires an experienced person on the drill floor.
AI image generation and design automation are compressing the time it takes to produce design outputs — but strategic creative direction, brand interpretation, and client relationship management remain distinctly human. The designers who are most exposed are those doing only execution; those doing strategy and direction are more durable.
Automated layout tools, AI text formatting, and template-based design platforms have absorbed most of the routine desktop publishing work. The durable role is the operator who understands complex typographic and layout standards, manages production for technically demanding publications, and ensures brand consistency that templates can't maintain.
AI is transforming the intelligence and surveillance analysis side of investigative work — pattern matching across large data sets, facial recognition, and predictive analytics are real tools in active use. The human investigation — interviewing witnesses, building informant relationships, presenting evidence in court, making judgment calls about probable cause — remains irreducibly human.
AI is entering echocardiography analysis and OB ultrasound measurement automation — specific, structured scan components where reproducibility matters. The hands-on sonography examination itself — transducer placement, image optimisation across variable anatomy, and the clinical judgment during the scan — requires a skilled sonographer in every room.
Nutrition apps and automated menu planning systems have taken over the basic calculation work, but the patient-facing nutrition counselling, adaptive meal planning for complex medical conditions, and diet education that registered dietitian technicians provide requires direct human engagement.
Nutrition apps and AI meal planners are handling general advice well. Clinical dietetics — medical nutrition therapy for complex conditions, the motivational counselling that changes patient behaviour, and the clinical judgment for multi-morbid patients — is protected territory.
Automated tray return, robotic busing pilots, and self-service stations are reducing the most repetitive physical service work. But the guest-facing service in full-service restaurants, bartender setup and prep support, and the physical flexibility to handle the unpredictable flow of a busy dining room still needs people.
Directors set direction for organisations, teams, and creative projects — and that judgment function is not automated. AI is handling the reporting, analysis, and routine communication that used to eat into leadership time, giving directors more capacity for the strategic and people work that defines the role.
AI music generation and automated playlist management are taking over the background music and low-engagement broadcast DJ work. Live event DJing — reading the crowd, building energy in a room, and the real-time musical conversation between a DJ and a dance floor — is a different skill set that AI doesn't replicate.
Automated commercial dishwashing systems handle the volume washing. The manual handling — loading, unloading, sorting irregular items, maintaining chemical systems, and responding to the variable pace of service — still requires a person. Robotic dishwashing is being piloted but isn't yet widely deployed.
Automated dispatch systems and AI routing optimisation have absorbed the straightforward assignment work. Emergency and public safety dispatchers face a different picture — the 911 call that requires real-time assessment, caller calming, and life-safety decisions under pressure is not automated. Freight and service dispatchers are more exposed than emergency dispatchers.
AI diagnostic tools are improving pattern recognition in imaging and pathology, but the clinical encounter — history-taking, physical examination, integrating patient context, and communicating difficult decisions — is not automated. Ambient documentation AI is the most significant near-term change for most practising physicians.
Route planning, lead scoring, and CRM data entry are being automated in field sales. The door knock itself — reading the homeowner, adapting the pitch in real time, handling objections in a live conversation — is human work that canvassing apps and AI scripts haven't replaced.
Generative design and AI-assisted CAD are automating the production of routine drawings at scale. Drafters who understand engineering standards, interpret design intent, and manage coordination across disciplines still add value that automated generation can't replace alone.
Automated GPS guidance and real-time positioning systems have taken over routine dredge positioning. The judgment work — reading waterway conditions, managing shifting sediment, responding to vessel traffic and environmental constraints — still requires an experienced operator on the controls.
CNC drilling and boring centres run programs automatically once set up. The setup itself — selecting tooling, writing or editing programs, dialling in speeds and feeds for a new material or job — still requires an experienced machinist who understands metal removal physics.
Route optimisation, order entry, and invoicing are heavily automated in DSD operations. The in-store selling — securing shelf space, building retailer relationships, merchandising to outperform competitors — is relationship and judgment work that scheduling algorithms don't do.
Robotic drywall installation is in development but not broadly deployed. The work of cutting, hanging, taping, and finishing in complex 3D construction environments — dealing with irregular framing, non-standard conditions, and multi-trade coordination — remains skilled physical work that automation hasn't solved at scale.
Directional drilling automation has transformed oil and gas drilling operations. Water well, geothermal, and geotechnical drilling — where subsurface conditions are highly variable and each site is different — remain more dependent on experienced operator judgment.
Economics Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is automating the data processing and routine modelling work that junior economists spend most of their time on. The interpretation, policy judgment, and communication of economic analysis to non-economist decision-makers remain human functions.
AI grammar checking and style suggestion has automated much of basic copyediting. The structural editing judgment — what a piece needs to argue better, where the logic breaks, what a reader genuinely needs — is not the same task, and AI handles it inconsistently.
Scheduling, compliance reporting, and routine parent and staff communications are being automated at well-resourced schools and districts. The leadership work — managing staff performance, making complex student decisions, building school culture — is not.
Billing, compliance reporting, and scheduling are being automated in childcare and early education management. The work of developing staff, managing child and family relationships, and meeting licensing and accreditation standards requires sustained human judgment.
Education Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI tutoring tools, automated grading, and adaptive learning platforms are handling routine instruction and assessment tasks. The relationship-based work — knowing when a student is lost, motivating reluctant learners, adapting in real time to a classroom — is not automated.
AI helps electrical and electronic engineering technologists and technicians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday electrical and electronic equipment assemblers work is already being done by AI. The roles that survive will look very different from today.
AI helps electrical and electronics drafters do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Electrical and Electronics Installers and Repairers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Electrical and Electronics Repairers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI-assisted simulation and generative design are accelerating circuit analysis and power system modelling. The engineering judgment — understanding failure modes, interpreting standards in context, and designing for reliability in environments that don't behave like simulations — is still human work.
AI helps electrical power-line installers and repairers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Estimating, permit documentation, and project scheduling are being improved by software. The physical installation work — pulling wire through three-dimensional building structures, troubleshooting faults, reading field conditions, and working safely with live systems — requires a trained electrician on site.
Electro-Mechanical and Mechatronics Technologists and Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how electromechanical equipment assemblers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Electronic Equipment Installers and Repairers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps electronics engineers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Elementary School Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps elevator and escalator installers and repairers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Eligibility determination for public assistance programmes is highly rule-based and document-driven — exactly the type of structured decision workflow that AI and robotic process automation handle well. The complex cases involving domestic violence, housing instability, and language barriers still require a human interviewer.
Embalming is intricate manual work performed on human remains under time pressure, in variable conditions, and with tactile skill requirements that robotics hasn't approached. The documentation and administrative side of funeral home operations is where technology is making inroads.
Situational awareness tools, predictive modelling, and automated public alert systems are improving emergency management capabilities. The leadership work — coordinating multi-agency response, communicating under pressure, and making life-safety decisions with incomplete information — is irreducibly human.
Pre-hospital emergency care requires a trained human on scene to assess, treat, and transport patients. AI-assisted dispatch and ePCR documentation are improving operations — but getting a patient from a scene to definitive care requires an EMT who can work in the physical environment.
Emergency departments are adopting AI for triage prioritisation, imaging flagging, and documentation. The core of emergency medicine — rapid assessment under uncertainty, procedural intervention, and life-saving decision-making under time pressure — requires a physician on site.
A lot of everyday engine and other machine assemblers work is already being done by AI. The roles that survive will look very different from today.
AI helps engineering teachers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps engineering technologists and technicians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI-assisted simulation, generative design, and code generation are accelerating engineering production work. The judgment layer — understanding failure modes, making trade-offs under real-world constraints, and taking professional accountability for outcomes — remains engineering work.
English Language and Literature Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI-generated content is flooding digital platforms, changing the competitive environment for performers. Live performance — the human presence in front of an audience — holds its value. The promotional and content creation work around performing is where performers most need to adapt.
Entertainment and Recreation Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Entertainment Attendants and Related Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Environmental Engineering Technologists and Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Environmental Engineers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps environmental science and protection technicians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Environmental Science Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Environmental Scientists and Specialists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is transforming disease surveillance, genomic epidemiology, and outbreak detection. The study design, causal inference, and public health communication that define epidemiology's value to decision-makers remain human-dependent functions.
A lot of everyday etchers and engravers work is already being done by AI. The roles that survive will look very different from today.
Excavating and Loading Machine and Dragline Operators are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI meeting summarisation, scheduling automation, and travel booking tools are absorbing the routine administrative tasks that defined this role. The work of executive gatekeeper — managing access, priorities, and complex stakeholder relationships for a senior executive — has more durability than the transactional tasks being automated.
Exercise Physiologists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Exercise Trainers and Group Fitness Instructors are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps explosives workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Extraction Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps extruding and drawing machine setters do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how extruding and forming machine setters work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how fabric and apparel patternmakers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Facilities Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how fallers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Family and Consumer Sciences Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps family medicine physicians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Farm and Home Management Educators are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Farm Equipment Mechanics and Service Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how farm labor contractors work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Farmers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps farmworkers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Farmworkers and Laborers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps fashion designers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how fast food and counter workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Fence Erectors are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how fiberglass laminators and fabricators work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
A lot of everyday file clerk work is already being done by AI. The roles that survive will look very different from today.
Film and Video Editors are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Basic portfolio management is going to robo-advisors. Complex planning with trust relationships is not.
A lot of everyday financial and investment analyst work is already being done by AI. The roles that survive will look very different from today.
A lot of everyday financial clerk work is already being done by AI. The roles that survive will look very different from today.
AI is changing how financial examiners work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps financial managers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how financial risk specialists work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how financial specialists work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how fine artists work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Fire Inspectors and Investigators are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Firefighters are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
First-Line Supervisors of Construction Trades and Extraction Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
First-Line Supervisors of Correctional Officers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
First-Line Supervisors of Entertainment and Recreation Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps first-line supervisors of farming do their jobs better and faster, but it can't replace the human skills at the heart of this work.
First-Line Supervisors of Firefighting and Prevention Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps first-line supervisors of food preparation and serving workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
First-Line Supervisors of Gambling Services Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps first-line supervisors of helpers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how first-line supervisors of housekeeping and janitorial workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps first-line supervisors of landscaping do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how first-line supervisors of material-moving machine and vehicle operators work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps first-line supervisors of mechanics do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps first-line supervisors of non-retail sales workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how first-line supervisors of office and administrative support workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps first-line supervisors of passenger attendants do their jobs better and faster, but it can't replace the human skills at the heart of this work.
First-Line Supervisors of Personal Service Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
First-Line Supervisors of Police and Detectives are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps first-line supervisors of production and operating workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
First-Line Supervisors of Protective Service Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how first-line supervisors of retail sales workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
First-Line Supervisors of Security Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps first-line supervisors of transportation workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Fish and Game Wardens are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how fishing and hunting workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how flight attendants work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Floor Layers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps floor sanders and finishers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Floral Designers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps food and tobacco roasting do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday food batchmakers work is already being done by AI. The roles that survive will look very different from today.
A lot of everyday food cooking machine operators and tenders work is already being done by AI. The roles that survive will look very different from today.
AI is changing how food preparation and serving related workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how food preparation workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how food processing workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps food science technicians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Food Scientists and Technologists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps food servers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Food Service Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps foreign language and literature teachers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Forensic Science Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Forest and Conservation Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Forest and Conservation Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Forest Fire Inspectors and Prevention Specialists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Foresters are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Forestry and Conservation Science Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps forging machine setters do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday foundry mold and coremakers work is already being done by AI. The roles that survive will look very different from today.
AI helps fundraisers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Fundraising Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Funeral Attendants are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Funeral Home Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday furniture finishers work is already being done by AI. The roles that survive will look very different from today.
Gambling and Sports Book Writers and Runners are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday gambling cage workers work is already being done by AI. The roles that survive will look very different from today.
AI is changing how gambling change persons and booth cashiers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Gambling Dealers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Gambling Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps gambling service workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Gambling Surveillance Officers and Gambling Investigators are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday gas compressor and gas pumping station operators work is already being done by AI. The roles that survive will look very different from today.
AI is changing how gas plant operators work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
General and Operations Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
General Internal Medicine Physicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Genetic Counselors are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Geographers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps geography teachers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps geological technicians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps geoscientists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Glaziers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Graders and Sorters are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Production design and stock assets are being automated. Brand strategy and original creative direction are not.
A lot of everyday grinding and polishing workers work is already being done by AI. The roles that survive will look very different from today.
AI helps grounds maintenance workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Hairdressers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Hazardous Materials Removal Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Health and Safety Engineers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Health Education Specialists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Health Information Technologists and Medical Registrars are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Health Specialties Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps health technologists and technicians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps healthcare diagnosing or treating practitioners do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Healthcare Practitioners and Technical Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Healthcare Social Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps healthcare support workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Hearing Aid Specialists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how heat treating equipment setters work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Heating are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps heavy and tractor-trailer truck drivers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Helpers--Brickmasons are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps helpers--carpenters do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Helpers--Electricians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Helpers--Extraction Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Helpers--Installation are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Helpers--Painters are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps helpers--pipelayers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how helpers--production workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Helpers--Roofers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps highway maintenance workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps historians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps history teachers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps hoist and winch operators do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps home appliance repairers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Home Health Aides are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday hosts and hostess work is already being done by AI. The roles that survive will look very different from today.
Recruitment screening and basic admin are automated. Complex people decisions and culture work are not.
AI is changing how human resources assistants work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps human resources managers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps human resources specialists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Hydrologic Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps hydrologists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Industrial Engineering Technologists and Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Industrial Engineers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps industrial machinery mechanics do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Industrial Production Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how industrial truck and tractor operators work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Industrial-Organizational Psychologists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how information and record clerks work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how information security analysts work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps instructional coordinators do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Insulation Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps insurance appraisers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how insurance claims and policy processing clerks work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps insurance sales agents do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how insurance underwriters work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how interior designers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how interpreters and translators work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how interviewers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps janitors and cleaners do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps jewelers and precious stone and metal workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how judges work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how judicial law clerks work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Kindergarten Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps labor relations specialists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday laborers and freight work is already being done by AI. The roles that survive will look very different from today.
Landscape Architects are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps landscaping and groundskeeping workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how lathe and turning machine tool setters work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps laundry and dry-cleaning workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps law teachers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Legal research and document review are going fast. Courtroom advocacy is not.
AI is changing how layout workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how legal secretaries and administrative assistants work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps legal support workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Legislators are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Librarians and Media Collections Specialists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday library assistants work is already being done by AI. The roles that survive will look very different from today.
Library Science Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps library technicians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Licensed Practical and Licensed Vocational Nurses are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps life scientists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Lifeguards are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday light truck drivers work is already being done by AI. The roles that survive will look very different from today.
AI is changing how lighting technicians work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps loading and moving machine operators do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday loan interviewers and clerk work is already being done by AI. The roles that survive will look very different from today.
A lot of everyday loan officers work is already being done by AI. The roles that survive will look very different from today.
AI helps locksmiths and safe repairers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how locomotive engineers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Lodging Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps log graders and scalers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Logging Equipment Operators are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how logging workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how logisticians work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how machine feeders and offbearers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how machinists work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Magnetic Resonance Imaging Technologists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Maids and Housekeeping Cleaners are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how mail clerks and mail machine operators work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Maintenance and Repair Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Maintenance Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Makeup Artists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday management analyst work is already being done by AI. The roles that survive will look very different from today.
Manicurists and Pedicurists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Manufactured Building and Mobile Home Installers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Marine Engineers and Naval Architects are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how market research analysts and marketing specialists work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Content creation and ad targeting are heavily automated. Brand strategy is not.
Marketing Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Marriage and Family Therapists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps massage therapists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps material moving workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how materials engineers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Materials Scientists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps mathematical science teachers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI handles routine computation, literature search, and standard modelling. Mathematical scientists who do novel theoretical work or complex problem formulation are well positioned — those doing repetitive applied analysis face real pressure.
AI helps mathematicians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Mechanical Door Repairers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Mechanical Drafters are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Mechanical Engineering Technologists and Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Mechanical Engineers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how media and communication equipment workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
A lot of everyday media and communication workers work is already being done by AI. The roles that survive will look very different from today.
Medical and Clinical Laboratory Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Medical and Clinical Laboratory Technologists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Medical and Health Services Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps medical appliance technicians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps medical assistants do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Medical Dosimetrists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Medical Equipment Preparers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Medical Equipment Repairers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps medical records specialists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Medical Scientists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how medical secretaries and administrative assistants work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Medical Transcriptionists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Mental Health and Substance Abuse Social Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Mental Health Counselors are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how merchandise displayers and window trimmers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how metal workers and plastic workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
A lot of everyday metal-refining furnace operators and tenders work is already being done by AI. The roles that survive will look very different from today.
AI helps microbiologists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps middle school teachers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how milling and planing machine setters work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Millwrights are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Mining and Geological Engineers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how mixing and blending machine setters work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Mobile Heavy Equipment Mechanics are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how model makers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
A lot of everyday molders work is already being done by AI. The roles that survive will look very different from today.
Morticians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Motion Picture Projectionists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps motor vehicle operators do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Motorboat Mechanics and Service Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday motorboat operators work is already being done by AI. The roles that survive will look very different from today.
Motorcycle Mechanics are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday multiple machine tool setters work is already being done by AI. The roles that survive will look very different from today.
AI helps museum technicians and conservators do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday music directors and composers work is already being done by AI. The roles that survive will look very different from today.
AI helps musical instrument repairers and tuners do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Musicians and Singers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Natural Sciences Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Network and Computer Systems Administrators are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps neurologists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how new accounts clerks work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how news analysts work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Nuclear Engineers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps nuclear medicine technologists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps nuclear power reactor operators do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Nuclear Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps nurse anesthetists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Nurse Midwives are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Nurse Practitioners are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Documentation is being automated. Direct patient care is one of the most AI-resistant jobs in existence.
AI helps nursing assistants do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Nursing Instructors and Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Obstetricians and Gynecologists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps occupational health and safety specialists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Occupational Health and Safety Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Occupational Therapists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps occupational therapy aides do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps occupational therapy assistants do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday office and administrative support workers work is already being done by AI. The roles that survive will look very different from today.
AI is changing how office clerks work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
A lot of everyday office machine operators work is already being done by AI. The roles that survive will look very different from today.
AI helps operating engineers and other construction equipment operators do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps operations research analysts do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how ophthalmic laboratory technicians work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Ophthalmic Medical Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Ophthalmologists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps opticians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Optometrists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Oral and Maxillofacial Surgeons are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how order clerks work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Orderlies are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Orthodontists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Orthopedic Surgeons are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Orthotists and Prosthetists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps outdoor power equipment and other small engine mechanics do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how packaging and filling machine operators and tenders work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps packers and packagers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Painters are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how paper goods machine setters work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps paperhangers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Document review and legal research are heavily automated. The paralegal role is in significant transition.
AI helps paralegals and legal assistants do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps paramedics do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how parking attendants work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps parking enforcement workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how passenger attendants work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps patternmakers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps paving do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how payroll and timekeeping clerks work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps pediatric surgeons do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps pediatricians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Personal Care Aides are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Personal Care and Service Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how personal financial advisors work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Personal Service Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps pest control workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps pesticide handlers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how petroleum engineers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
A lot of everyday petroleum pump system operators work is already being done by AI. The roles that survive will look very different from today.
Pharmacists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Pharmacy Aides are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Pharmacy Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps philosophy and religion teachers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Phlebotomists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how photographers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how photographic process workers and processing machine operators work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Physical Scientists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Physical Therapist Aides are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Physical Therapist Assistants are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Physical Therapists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Physician Assistants are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Physicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps physicists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Physics Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Pile Driver Operators are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Pipelayers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how plant and system operators work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Plasterers and Stucco Masons are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how plating machine setters work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps plumbers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Podiatrists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Police and Sheriff's Patrol Officers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps political science teachers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how political scientists work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how postal service clerks work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how postal service mail carriers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
A lot of everyday postal service mail sorters work is already being done by AI. The roles that survive will look very different from today.
Postmasters and Mail Superintendents are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Postsecondary Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps pourers and casters do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how power distributors and dispatchers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
A lot of everyday power plant operators work is already being done by AI. The roles that survive will look very different from today.
AI helps precision instrument and equipment repairers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps prepress technicians and workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps preschool teachers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how pressers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how print binding and finishing workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how printing press operators work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Private Detectives and Investigators are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Probation Officers and Correctional Treatment Specialists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how procurement clerks work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how producers and directors work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
A lot of everyday production workers work is already being done by AI. The roles that survive will look very different from today.
AI helps project management specialists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Scheduling and status reporting are being automated. Stakeholder politics and risk judgment are not.
AI is changing how proofreaders and copy markers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps prosthodontists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Protective Service Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Psychiatric Aides are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps psychiatric technicians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Psychiatrists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Psychologists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Psychology Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Public Relations Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps public relations specialists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday public safety telecommunicators work is already being done by AI. The roles that survive will look very different from today.
AI helps pump operators do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps purchasing agents do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Purchasing Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps radiation therapists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps radiologic technologists and technicians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps radiologists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Rail Car Repairers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps rail transportation workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how rail yard engineers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Rail-Track Laying and Maintenance Equipment Operators are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how railroad conductors and yardmasters work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps real estate brokers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps real estate sales agents do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday receptionists and information clerk work is already being done by AI. The roles that survive will look very different from today.
Recreation and Fitness Studies Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Recreation Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps recreational therapists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps recreational vehicle service technicians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Resume screening and outreach are largely automated. Executive search and cultural assessment are not.
Refractory Materials Repairers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how refuse and recyclable material collectors work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps registered nurses do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Rehabilitation Counselors are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Reinforcing Iron and Rebar Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Religious Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how reservation and transportation ticket agents and travel clerks work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Residential Advisors are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Respiratory Therapists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps retail salespersons do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Riggers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Rock Splitters are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday rolling machine setters work is already being done by AI. The roles that survive will look very different from today.
Roof Bolters are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Roofers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps rotary drill operators do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how sailors and marine oilers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how sales and related workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps sales engineers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Sales Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how sales representatives work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps sales representatives of services do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Prospecting, follow-ups, and basic forecasting are going automated. Complex enterprise relationships are not.
A lot of everyday sawing machine setters work is already being done by AI. The roles that survive will look very different from today.
School Bus Monitors are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how school psychologists work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps secondary school teachers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday secretaries and administrative assistants work is already being done by AI. The roles that survive will look very different from today.
Security and Fire Alarm Systems Installers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Security Guards are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps segmental pavers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps self-enrichment teachers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday semiconductor processing technicians work is already being done by AI. The roles that survive will look very different from today.
AI helps septic tank servicers and sewer pipe cleaners do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Service Unit Operators are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps set and exhibit designers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday sewing machine operators work is already being done by AI. The roles that survive will look very different from today.
Sheet Metal Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday ship engineers work is already being done by AI. The roles that survive will look very different from today.
AI is changing how shoe and leather workers and repairers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
A lot of everyday shoe machine operators and tenders work is already being done by AI. The roles that survive will look very different from today.
AI is changing how shuttle drivers and chauffeurs work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps signal and track switch repairers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Skincare Specialists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday slaughterers and meat packers work is already being done by AI. The roles that survive will look very different from today.
Social and Community Service Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Social and Human Service Assistants are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Social Science Research Assistants are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Social Sciences Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps social scientists and related workers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Social Work Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Social Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps sociologists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps sociology teachers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Software Developers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Junior coding tasks are under pressure. Systems architecture and complex problem-solving are not.
AI helps software quality assurance analysts and testers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Soil and Plant Scientists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Solar Photovoltaic Installers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday sound engineering technicians work is already being done by AI. The roles that survive will look very different from today.
Special Education Teachers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how special effects artists and animators work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Speech-Language Pathologists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday stationary engineers and boiler operators work is already being done by AI. The roles that survive will look very different from today.
AI is changing how statistical assistants work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps statisticians do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday stockers and order fillers work is already being done by AI. The roles that survive will look very different from today.
Stonemasons are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Structural Iron and Steel Workers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how structural metal fabricators and fitters work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Substance Abuse and Behavioral Disorder Counselors are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps subway and streetcar operators do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Surgeons are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps surgical assistants do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Surgical Technologists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Survey Researchers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Surveying and Mapping Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Surveyors are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how switchboard operators work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how tailors work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Tapers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how tax examiners and collectors work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps tax preparers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how taxi drivers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Content delivery is being automated. The human relationship in education is not.
Teachers and Instructors are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Teaching Assistants are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday team assemblers work is already being done by AI. The roles that survive will look very different from today.
AI helps technical writers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps telecommunications equipment installers and repairers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps telecommunications line installers and repairers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how telemarketers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
A lot of everyday tellers work is already being done by AI. The roles that survive will look very different from today.
Terrazzo Workers and Finishers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday textile bleaching and dyeing machine operators and tenders work is already being done by AI. The roles that survive will look very different from today.
AI is changing how textile cutting machine setters work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
A lot of everyday textile knitting and weaving machine setters work is already being done by AI. The roles that survive will look very different from today.
A lot of everyday textile winding work is already being done by AI. The roles that survive will look very different from today.
Therapists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Tile and Stone Setters are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps timing device assemblers and adjusters do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps tire builders do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Tire Repairers and Changers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how title examiners work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI helps tool and die makers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how tool grinders work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Tour Guides and Escorts are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how traffic technicians work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Training and Development Managers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps training and development specialists do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Transit and Railroad Police are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Standard document translation is being largely replaced. Literary and specialist translation is not.
AI helps transportation inspectors do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps transportation security screeners do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how transportation workers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how travel agents work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Travel Guides are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Tree Trimmers and Pruners are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Tutors are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Umpires are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI helps underground mining machine operators do their jobs better and faster, but it can't replace the human skills at the heart of this work.
A lot of everyday upholsterers work is already being done by AI. The roles that survive will look very different from today.
AI helps urban and regional planners do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Ushers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
Veterinarians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how veterinary assistants and laboratory animal caretakers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Veterinary Technologists and Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
AI is changing how waiters and waitresses work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
Watch and Clock Repairers are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday water and wastewater treatment plant and system operators work is already being done by AI. The roles that survive will look very different from today.
AI helps web and digital interface designers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI is changing how web developers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how weighers work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
A lot of everyday welders work is already being done by AI. The roles that survive will look very different from today.
AI helps wellhead pumpers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
AI helps wholesale and retail buyers do their jobs better and faster, but it can't replace the human skills at the heart of this work.
Wind Turbine Service Technicians are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
A lot of everyday woodworkers work is already being done by AI. The roles that survive will look very different from today.
AI is changing how woodworking machine setters work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
AI is changing how word processors and typists work day to day. Learning to use these tools isn't a nice-to-have anymore — it's becoming part of the job.
High-volume content is being automated aggressively. Original voice and investigative work is not.
A lot of everyday writers and authors work is already being done by AI. The roles that survive will look very different from today.
Zoologists and Wildlife Biologists are in a strong position. The core of this job — working with people, making judgment calls, solving unique problems — is hard for AI to touch.
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