Who is using AI to code? Global diffusion and impact of generative AI

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Access status: Embargo until 2026-07-22 , science.adz9311.pdf (1.04 MB)

Publication date

2026-02-19

Authors

Daniotti, Simone
Wachs, Johannes
Feng, Xiangnan
Neffke, Frank

Editors

Advisors

Supervisors

Document Type

Article

License

taverne

Abstract

Generative coding tools promise big productivity gains, but uneven uptake could widen skill and income gaps. We train a neural classifier to spot artificial intelligence (aI)–generated Python functions in more than 30 million GitHub commits by 160,097 software developers, tracking how fast, and where, these tools take hold. Currently, aI writes an estimated 29% of Python functions in the uS—a shrinking lead over other countries. We estimate that quarterly output, measured in online code contributions, consequently increased by 3.6%. aI seems to benefit experienced, senior-level developers: They increased productivity and more readily expanded into new domains of software development. by contrast, early-career developers showed no significant benefits from aI adoption. This may widen skill gaps and reshape future career ladders in software development.

Keywords

Taverne, General

Citation

Daniotti, S, Wachs, J, Feng, X & Neffke, F 2026, 'Who is using AI to code? Global diffusion and impact of generative AI', Science, vol. 391, no. 6787, pp. 831-835. https://doi.org/10.1126/science.adz9311