Most online tools that claim to assess your AI replacement risk are actually performing job title lookups: they take your occupation and return a pre-calculated automation probability based on O*NET task data from several years ago. That approach misses the most important variable, which is what you personally do in your role each day. A senior accountant who spends 80% of their time on client strategy and team management has a very different risk profile from a junior accountant processing routine filings, even though both have the same job title.
A proper AI replacement risk assessment accounts for the actual task composition of your role, your skill portability, the presence of physical or relational work that resists automation, and whether you already have the AI literacy to shift from being automated against to benefiting from automation. The Fossil Score assessment built into this site covers all five dimensions in four minutes.
What the research says
92M
jobs displaced by 2030
WEF Future of Jobs 2025
170M
new roles created by 2030
WEF Future of Jobs 2025
41%
of employers plan AI-driven headcount reductions
WEF 2025
55K
job cuts explicitly attributed to AI in 2024
Challenger, Gray and Christmas
A proper assessment evaluates five dimensions: task automation exposure, skill transferability, physical presence requirement, relational complexity, and AI literacy. Generic job-title lookups only estimate the first dimension and miss the factors that make your specific situation meaningfully different from the average.
Job title lookups give you an average risk score for your occupation category, which can be significantly wrong for your specific situation. Two people with the same job title can have very different risk profiles depending on what they actually do each day. A task-based assessment produces a result that reflects your personal exposure rather than a statistical average.
On the Fossil Score scale, scores above 65 out of 100 indicate high risk (Titanosaur or Brachiosaurus classification). On a percentage scale, automation exposure above 60% of tasks is generally considered high risk. The overall picture also includes how quickly your industry is adopting the relevant tools.
Every six to twelve months, or any time your role changes significantly, your employer adopts new AI tools, or a major AI development makes headlines in your industry. The risk landscape is moving fast enough in 2026 that an assessment from 18 months ago is likely out of date.
Use the result to prioritise. High-risk scores mean real urgency: start adding AI tools to your workflow now, identify which skills protect you, and consider whether your current trajectory leads to a contracting or growing area. Lower-risk scores still warrant maintaining AI literacy even if the immediate pressure is less acute.
Related topics
Free Assessment
Task-level assessment, not a job title lookup. Free, 4 minutes.
Get My Fossil Score