Experimental evidence on the productivity effects of generative artificial intelligence

• 成果类型: Article
• 署名作者: Noy, Shakked; Zhang, Whitney
• 署名单位: Massachusetts Institute of Technology (MIT)
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-10839
• DOI: 10.1126/science.adh2586
• 发表日期: 2023-07-14
• 页码: 187-192
• 关键词: labor-market; GROWTH; jobs

摘要

We examined the productivity effects of a generative artificial intelligence (AI) technology, the assistive chatbot ChatGPT, in the context of midlevel professional writing tasks. In a preregistered online experiment, we assigned occupation-specific, incentivized writing tasks to 453 college-educated professionals and randomly exposed half of them to ChatGPT. Our results show that ChatGPT substantially raised productivity: The average time taken decreased by 40% and output quality rose by 18%. Inequality between workers decreased, and concern and excitement about AI temporarily rose. Workers exposed to ChatGPT during the experiment were 2 times as likely to report using it in their real job 2 weeks after the experiment and 1.6 times as likely 2 months after the experiment.