OECD (AI Papers No. 59, 2026)

OECD AI exposure: OECD AI Exposure Measure (AI Capability Gap)

An OECD measure comparing what AI can currently do with what each occupation demands. A lower gap means higher potential exposure.

AI research contextResearch release (2026); checked annually

What it measures

  • Total AI Capability Gap and nine domain gaps and demands for 879 O*NET-SOC occupations, mapped to 6-digit SOC

What it does not measure

Most misreadings of labor data come from asking a dataset a question it was not built to answer. These are the limits worth holding onto.

  • Observed use of AI
  • Employment outcomes

Update cadence

Research release (2026); checked annually.

Occupation pages name the specific release behind each figure and when it was imported, so you can see how current a number is rather than assuming it is new. More on that on about the data.

How JobMarketHealth uses it

  • Exposure context on the AI & Jobs page and occupation AI panels.
  • CC BY 4.0; cite OECD (2026), OECD Artificial Intelligence Papers No. 59. Never an input to the Job Market Health score.

Where it sits

This dataset is AI & Jobs research context. It is never an input to the Job Market Health score. Read the methodology.

Official source

OECD (AI Papers No. 59, 2026) publishes OECD AI Exposure Measure (AI Capability Gap). JobMarketHealth organizes and derives from that public data and is not its publisher.

OECD AI and the Future of Skills

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