🥚 Risk Score — 2026

Career AI Risk Score: Understanding Your Fossil Score

A career AI risk score is only useful if you understand what it measures and what different values mean in practical terms. The Fossil Score runs from 0 to 100 and is built from five dimensions, each weighted to reflect their contribution to real-world displacement risk based on research into the tasks that AI tools currently handle well and the task types that remain difficult for them. The score is designed to be actionable rather than just descriptive.

The species classification system maps score ranges to six categories with memorable names drawn from the extinction metaphor: Titanosaur (0-25, highest risk), Brachiosaurus (26-40), Velociraptor (41-55), Archaeopteryx (56-70), Corvid (71-85), and New Species (86-100, best positioned). Each classification comes with specific guidance on what workers in that range should prioritise.

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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

Common questions

How is the Fossil Score calculated?

The Fossil Score combines five weighted dimensions: task automation exposure, skill portability, physical and relational content, AI literacy, and adaptability signals. The combined score runs from 0 to 100, where low scores indicate high risk and high scores indicate strong protection.

What does a Fossil Score of 30 mean?

A score of 30 indicates a Brachiosaurus classification: high risk with significant vulnerability to task compression and headcount reduction over the next two years. Workers at this score should be actively adding AI tools to their workflow and building toward more protected task areas.

What does a Fossil Score of 70 mean?

A score of 70 indicates an Archaeopteryx classification: meaningful AI exposure but significant protective factors. You are in a transitional position where the right actions now can move you toward the safer Corvid range. Focus on deepening domain expertise and AI literacy rather than making major career pivots.

Can you improve your career AI risk score?

Yes. Adding AI tools to your daily workflow improves your AI literacy score. Taking on more relational and judgment-heavy work improves your physical and relational content score. Building transferable skills improves your portability score. Significant score improvement is achievable within six to twelve months of focused effort.

What is the difference between Fossil Score and automation probability?

Automation probability is a statistical estimate of how automatable your job category is. It does not account for your specific situation. The Fossil Score is a personalised assessment that incorporates your individual task composition, skills, and context. The two can differ significantly for the same job title.

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