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Peyman Shahidi

Ph.D. Candidate

Peyman is a Ph.D. candidate at MIT Sloan in the Information Technology group. He studies market design and labor economics, with a focus on the effects of AI on labor markets and online platforms.
Before MIT, Peyman worked as a Research Professional at the University of Chicago, Booth School of Business. He has a Bachelor’s degree in Electrical Engineering from Sharif University of Technology.”

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Working Papers Chaining Tasks, Redefining Work: A Theory of AI Automation

January 12, 2026

  • John Horton | Associate Professor, MIT Sloan School of Management
  • Peyman Shahidi | Ph.D. Candidate

    • Brendan Lucier | Microsoft Research

    Nicole Immorlica | Yale University, Microsoft Research

    Mert Demirer | MIT

     

    This paper develops a model that predicts that (1) AI-executed steps co-occur in chains, (2) dispersion of AI-exposed steps lowers AI execution at the job level, and (3) adjacency to AI-executed steps increases the likelihood that a step is AI-executed.