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Understanding AI exposure

Why your strengths beat any score

3 min read · July 2026

Any number that describes your job describes the job — not you. Two people with the same title bring different judgment, different relationships, and different hands. That difference is exactly what the research says matters most. What you're best at is hardest to automate.

What the research consistently finds hard to automate

  • Reading and working with people. Jobs that lean on social skill have grown in both share and pay as automation spread — that's the core finding of Deming's widely cited study.
  • Judgment in messy situations. Economists call it tacit knowledge: we know more than we can write down, and what can't be written down is hard to hand to a machine (Autor).
  • Original ideas, taste, and negotiation. The Oxford study that started the automation conversation named creative and social intelligence as the key bottlenecks — the places automation stalls (Frey and Osborne).
  • Skilled hands in unpredictable places. A spreadsheet can be automated from a laptop; a hospital room, a kitchen, and a job site cannot.

Turn that into a plan, not a comfort

Strengths are only protective when you use them on purpose:

  • Name two or three of yours in plain words. What do people repeatedly come to you for?
  • Put them next to what's changing. When AI takes a repetitive slice of the work, the person who pairs the tool with strong judgment or people skills becomes more valuable, not less.
  • Choose your next skill to amplify a strength — not to patch a fear.

The honest bottom line

An exposure score tells you where AI will show up in the work. Your strengths decide what that means for you. Lead with them.

Where this comes from

Where this comes from

The Growing Importance of Social Skills in the Labor Market (Deming, 2015)

National Bureau of Economic Research

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The Future of Employment: How Susceptible Are Jobs to Computerisation? (Frey & Osborne)

Oxford Martin School, University of Oxford

Read the research

Why Are There Still So Many Jobs? The History and Future of Workplace Automation (Autor, 2015)

Journal of Economic Perspectives — peer-reviewed

Read the research
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