Generative AI and the Productivity Divide: Human-AI Complementarities in Education
A recent study explores the impact of Generative AI on productivity in education. The findings indicate that while access to AI tools can enhance task performance, the benefits are unevenly distributed among users. Participants with higher AI Interaction Competence experienced significant gains, highlighting the need for training to mitigate disparities.
- ▪Generative AI significantly increased task performance among early-career knowledge workers in a study.
- ▪The productivity gains from AI access were uneven, with high-AIC participants benefiting the most.
- ▪A scaffolding intervention helped reduce performance disparities, suggesting standardized workflows can improve outcomes.
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Computer Science > Artificial Intelligence arXiv:2605.18143 (cs) [Submitted on 18 May 2026] Title:Generative AI and the Productivity Divide: Human-AI Complementarities in Education Authors:Lihi Idan, Bharat Anand View a PDF of the paper titled Generative AI and the Productivity Divide: Human-AI Complementarities in Education, by Lihi Idan and Bharat Anand View PDF HTML (experimental) Abstract:Generative Artificial Intelligence (GenAI) is transforming how firms create, process, and apply knowledge, yet little is known about the heterogeneity of its productivity effects across users.
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