What Work Does Generative AI Do?
Alexander Bick, Adam Blandin, David J. Deming, Tyler R. Schumacher · NBER Working Papers · August 2026
Where this sits in the debate
Direction of the finding as read from the abstract by an AI model (AI-written).
Key takeaway AI-written
Using a nationally representative survey that links generative AI use to detailed occupations and tasks, the authors build the first task-level indexes of genAI adoption. They show these adoption measures can sharpen analyses of genAI's labor-market impact, and that standard exposure scores explain only part of actual use.
The paper in three steps AI-written
Written by an AI agent from the paper's abstract, which is the primary source and is quoted below.
How to read it: survey. Self-reported data from firms or individuals — good for perceptions and adoption; answers can differ from behavior.
Limitations and counterpoints AI-written
The available abstract is truncated, so the size of the gap between exposure and adoption and other results are not described here. Survey self-reports may not match measured use.
Abstract
We measure how workers use genAI for their jobs in a nationally representative survey linking genAI adoption to detailed occupations and tasks. Our data provide the first task-level genAI adoption indexes, which we show can inform analyses of genAIs labor market impact. Exposure scores explain some,
About this publication
Working paper. A working paper — circulated for discussion before formal peer review, the standard first outlet in economics.
- Published
- 2026
- Citations
- Not recorded for this source
Citation counts come from OpenAlex; none are recorded for this source — absence of a count is not absence of citations.
David J. Deming signed the wemustactnow.ai letter — part of why this paper is in the collection.
Cited elsewhere in this guide
Related by theme, not necessarily by method or conclusion.
- The Effects of Generative AI on High Skilled Work: Evidence from Three Field Experiments with Software Developers
SSRN · 2024 - GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
arXiv · 2023 - Experimental evidence on the productivity effects of generative artificial intelligence
Science · 2023 - The simple macroeconomics of AI
Economic Policy · 2024
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