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

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NIAID Data Ecosystem2026-05-10 收录
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http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.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.
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2026-01-21
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