Study

Exposure is not adoption: what AI could do versus what it is used for

Scores of how exposed a job is to AI measure what AI could do. A measure of what AI is actually used for predicted demand for workers better.

At a glance

Source
Sedai (2026). Exposure Is Not Adoption: Measuring Generative AI and Labor Demand. SSRN working paper. doi:10.2139/ssrn.7528420 · Not peer-reviewed: other researchers have not yet checked it for a journal.
How it was done
The author compared two kinds of measure against demand for workers: scores of what AI could do in each occupation, and a measure of what people actually use AI for. Data analysis. It builds a measure from existing data, such as job and task records.
Who took part
Occupations and demand for workers in them.
Where
United States.

“Occupational exposure indices measure what generative AI could do, not what it is used for.”

What it found

Exposure scores and real use are different things. In this analysis, a measure of what people actually use AI for predicted demand for workers better than exposure scores did.

When the result holds

The point applies to any score built from task descriptions. Such a score tells you where to look. It does not tell you what is happening.

Limits

  • A working paper. It has not been through peer review.

Practices that use this study

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