Data from: Who is using AI to code? Global diffusion and impact of generative AI
收藏DataCite Commons2026-01-29 更新2026-04-25 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.3r2280gv0
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资源简介:
Generative coding tools promise big productivity gains, but uneven uptake
could widen skill and income gaps. We train a neural classifier to spot
AI-generated Python functions in over 30 million GitHub commits by 160,000
developers, tracking how fast —and where— these tools take hold. Today, AI
writes an estimated 29 % of Python functions in the US, a modest and
shrinking lead over other countries. We estimate that quarterly output,
measured in online code contributions, has increased by 3.6% because of
this. Our evidence suggests that programmers using AI may also more
readily expand into new domains of software development. However,
experienced, senior-level programmers capture nearly all productivity and
exploration gains, while we observe no significant benefits of AI adoption
for early-career programmers. This widens, rather than closes, the skill
gap.
提供机构:
Dryad
创建时间:
2026-01-21



