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Ethan Mollick Says AI Agents Are Transforming Coding Faster Than Expected

2 reports 2 reporting sources first reported Updated 2 days ago

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Ethan Mollick says AI coding agents are transforming the coding profession faster than historical adoption rates would suggest, with that shift already well underway less than a year after working agents emerged. He points to coding as a counterexample to the idea that AI adoption across professions takes a long time, and says the pace has exceeded his expectations.

Generated by AI from reports · Updated 2 days ago

Latest development11/12 06:16 (UTC+8)
The counterexample to AI diffusion taking a long time is coding, where the complete transformation of a profession is well underway less than a year after real working coding agents. Faster than I would’ve expected given historical technological adoption rates in professions.Ethan Mollick · X

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11/14
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11/12
  1. Ethan Mollick · X
    The counterexample to AI diffusion taking a long time is coding, where the complete transformation of a profession is well underway less than a year after real working coding agents. Faster than I would’ve expected given historical technological adoption rates in professions.

    The counterexample to AI diffusion taking a long time is coding, where the complete transformation of a profession is well underway less than a year after real working coding agents. Faster than I would’ve expected given historical technological adoption rates in professions.

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