The question of whether AI can replace you is one that generates a lot of anxiety but not always a lot of clarity. Anxiety tends to produce two unhelpful responses: denial (convincing yourself your work is too complex to automate) or panic (assuming everything you do will be replaced imminently). Neither response is grounded in a clear-eyed assessment of your actual position.
The Fossil Score methodology moves the conversation from feeling to measurement. By assessing your role across six specific dimensions, it produces a scored, personalised replaceability rating that reflects your actual task mix, your employer context, and the current capabilities of AI systems. With that score in hand, the appropriate response becomes clear, whether that is monitoring your position, repositioning within your current role, or planning an adjacent career move. The WEF projects 92 million jobs displaced by 2030 alongside 170 million new roles, and knowing which side of that divide you are likely to land on is worth finding out now.
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
Replaceability by AI means that an AI system, given your tools and inputs, could produce outputs that your employer would consider equivalent to yours at a lower cost or higher volume. Replaceability does not require the AI to be identical to you; it only requires the AI to be good enough that the economic case for keeping you in the role diminishes. A role can be 70% replaceable, meaning most but not all of your current function is at risk, which still has significant career implications.
The Fossil Score is a personalised AI displacement risk rating that measures your role across six dimensions: task routineness, output digitisability, relational dependency, physical presence requirements, judgment intensity, and employer adoption context. Each dimension is scored based on your specific answers rather than your job title, and the composite score reflects how replaceable your particular version of your role is by current and near-future AI systems.
Anxiety is an unreliable indicator in both directions. People in genuinely exposed roles sometimes feel falsely secure because their work feels complex to them. People in well-protected roles sometimes feel disproportionate anxiety because AI is discussed in alarming terms without specificity. The WEF projects 92 million jobs displaced by 2030, but that same research projects 170 million new roles created. Anxiety about belonging to the first category rather than the second is not useful without a specific assessment of where you actually fall.
The factors that most consistently resist AI replacement are: deep institutional knowledge tied to specific relationships (not just information, but trust and history); physical presence in variable, uncontrolled environments; a track record of high-stakes judgment that clients or stakeholders explicitly defer to; and work that is sufficiently novel that no training data captures the pattern. Workers who score highly on three or more of these factors are genuinely difficult to replace regardless of how sophisticated AI systems become.
A high replaceability score is the beginning of a plan, not the end of a career. The next step is to identify which of your current responsibilities is closest to the protected end of the spectrum and to deliberately expand your footprint in that direction. Simultaneously, identify adjacent roles in your field or industry where replaceability is lower and your existing skills transfer. Most people have more pivot options than they initially recognise, and a structured assessment reveals those options more clearly than general anxiety does.
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