Who is using AI to code? Global diffusion and impact of generative AI
成果类型：
Article
署名作者：
Daniotti, Simone; Wachs, Johannes; Feng, Xiangnan; Neffke, Frank
署名单位：
Utrecht University; Corvinus University Budapest; Eotvos Lorand University; ELTE Centre for Economic & Regional Studies
刊物名称：
SCIENCE
ISSN/ISSBN：
0036-8075; 1095-9203
DOI：
10.1126/science.adz9311
发表日期：
2026-02-19
关键词：
摘要：
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.
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