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Research1 min readInfoQ AI/ML

Study Finds AI-generated Code Fails to Boost Productivity Due to Downstream Bottlenecks

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 …

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Study Finds AI-generated Code Fails to Boost Productivity Due to Downstream Bottlenecks
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In brief

  • What: Study Finds AI-generated Code Fails to Boost Productivity Due to Downstream Bottlenecks
  • When: October 22, 2026 at 17:00
  • Source: InfoQ AI/ML (media)
  • Topic: Research

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Prepared by Ilya Tarasov’s Tarasov Code newsroom based on a report by InfoQ AI/ML.

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