Industry Report
48 professions analyzed in the office & administrative support sector. Average automation risk: 70%.
48
Professions
70%
Avg Automation Risk
22
High Risk
31
Avg Fossil Score
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.
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.
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.
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.
A lot of everyday communications equipment operators work is already being done by AI. The roles that survive will look very different from today.
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.
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.
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.
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.
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.
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.
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.
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.
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.
A lot of everyday file clerk 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 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.
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 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 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 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 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 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.
A lot of everyday library assistants work is already being done by AI. The roles that survive will look very different from today.
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.
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.
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.
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.
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 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.
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 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.
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 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.
A lot of everyday public safety telecommunicators work is already being done by AI. The roles that survive will look very different from today.
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.
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.
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.
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 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.
A lot of everyday tellers work is already being done by AI. The roles that survive will look very different from today.
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.
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.
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