原文开头
Simone Daniotti*, Johannes Wachs, Xiangnan Feng, Frank Neffke INTRODUCTION: Generative artificial intelligence (genAI) has the potential to radically transform the nature and productivity of human labor, yet we lack systematic measurement of how fast genAI is diffusing and who benefits from it. In this work, we develop a method to detect AI-generated code at the individual level and apply it to more than 30 million code contributions by 160,097 software developers across six countries. We find that genAI adoption is rapid and global and that it boosts productivity and accelerates expansion into new technical domains—but only for senior-level developers. Early-career developers, by contrast, despite being the most frequent users of genAI, show no measurable benefits. …
摘自《科学》(Science)第391卷 第6787期 · 2026年2月19日。仅引用开头一小段供了解文章,版权归原刊所有,全文请阅读原刊。