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January 25, 202611 citations

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

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SDSimone DaniottiUtrecht UniversityJWJohannes WachsEötvös Loránd UniversityXFXiangnan FengComplexity Science Hub Vienna

Key Points

  • The research investigates how generative AI tools are adopted in coding and their impact on developer productivity.
  • Trained a neural classifier to identify AI-generated Python functions
  • Analyzed over 30 million GitHub commits from 160,097 developers
  • Tracked usability and productivity changes across different countries
  • AI writes an estimated 29% of Python functions in the US
  • Quarterly code contributions increased by 3.6% due to AI tools
  • Experienced developers showed increased productivity and domain expansion
  • No significant benefits for early-career developers, potentially enlarging skill disparities

Abstract

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 160,097 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 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. In 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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Cite This Study

Daniotti et al. (2026) studied this question.

synapsesocial.com/papers/6975b32bfeba4585c2d6ea02https://doi.org/10.1126/science.adz9311
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