Generic job-title rankings are poor tools for answering this question. Two people with the same job title can have dramatically different risk profiles depending on which specific tasks they perform, how digitised their workflow is, and how their employer is thinking about AI investment. The honest assessment starts with your actual task list, not your title.
The research establishes clear scale: Goldman Sachs estimates 300 million jobs affected globally, and the WEF projects 92 million displaced by 2030. But individual exposure depends on factors those numbers do not capture. A task-analysis approach, mapping your week against what AI can genuinely do, gives you a much more accurate picture than any published occupation ranking.
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
The most reliable self-assessment starts with a task inventory. List every activity you perform in a typical week, estimate the time spent on each, and then assess each task: does it require physical presence, emotional attunement to another person, or judgment in genuinely novel situations? Tasks that require none of those three things are candidates for automation. The proportion of your week spent on automatable tasks gives you your baseline risk level.
Yes, significantly. Financial services, legal research, media production, and customer service are experiencing rapid AI adoption right now. Construction, elder care, and skilled trades are moving more slowly due to physical complexity and regulatory requirements. Your industry's adoption rate determines the timeline, even if the underlying task analysis identifies high exposure.
Using AI tools does not automatically protect your role. What matters is whether you are using AI to extend your output in ways your employer values, or whether AI tools are making your core function faster and cheaper to the point where fewer people are needed. The key is whether your employer sees you as the value-add or sees the AI as the value-add with you as an operator.
Goldman Sachs estimated that 300 million jobs globally could be affected by generative AI, with around two-thirds of occupations having at least some exposure. The WEF projects 92 million jobs displaced by 2030, though 170 million new roles are also expected to emerge. Full replacement of a role is far less common than partial task automation, which restructures what jobs look like rather than eliminating them outright.
Get a clear-eyed picture of your actual exposure before making decisions. Many people are either too anxious (overestimating risk) or too complacent (assuming their role is safe because it feels complex). A structured assessment like the Fossil Score gives you a specific, personalised risk rating based on your actual task profile, so you can decide what to do next from an informed position rather than guesswork.
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