newsInfoQ·22 Oct 2026·Sergio De Simone
Study Finds AI-generated Code Fails to Boost Productivity Due to Downstream Bottlenecks
Harvard study of 718 firms finds AI coding tools raise code output but downstream review and deploy bottlenecks erase productivity gains.
Extract
A recent Harvard study of 718 firms, using the Jellyfish analytics platform, finds that although AI coding assistants and agents increase code volume, this does not translate into a corresponding increase in completed work, partly because AI-generated code increases the workload in later stages of development, particularly code review.
By Sergio De Simone