AI and the Gig Economy: Evidence from Upwork
A NBER research paper exploring the impact of AI on gig economy platforms like Upwork.
The non-profit, non-partisan research organisation behind most influential US economics working papers, including much of the research on AI and jobs.
Why I recommend it: NBER working papers are free to download, but most are not yet peer reviewed. Treat headline findings as early evidence.
Read / subscribe freeAn American private nonprofit research organization that publishes economic research for policymakers, business and academia.
Known for setting the official start and end dates of US recessions. Its president is James M. Poterba of MIT.
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Many chairs of the Council of Economic Advisers were previously NBER research associates.
Our own read, not the publication's.
Background from Wikipedia, checked October 5, 2026.
A NBER research paper exploring the impact of AI on gig economy platforms like Upwork.
Joshua Gans and Avi Goldfarb's January 2026 NBER working paper modeling how automating some tasks in a chain of interdependent tasks changes the value of the remaining human work. Free PDF.
Cevat Giray Aksoy, Nicholas Bloom, Steven J. Davis and co-authors estimate how much workers value small amounts of in-office time versus fully remote work (June 2026).
Why I recommend it: Handy for negotiating hybrid arrangements. Bloom is a long-time advocate of hybrid work; the paper is not yet peer reviewed.
Omar Abdel Haq, Amitabh Chandra, Tomáš Jagelka and co-authors use large language models to elicit and measure people's life preferences and trade-offs (May 2026).
Why I recommend it: An experimental method, not yet peer reviewed. Using AI to stand in for or interview people carries bias risks the authors themselves discuss.
Peter Kuhn and Trevor Osaki survey people on which kinds of hiring and pay discrimination they consider unfair, and why.
Why I recommend it: A working paper based on survey attitudes — it tells you what people think is fair, not what the law allows.
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An October 2026 Cosmonaut essay by Nicolas D. Villarreal revisiting his 2023 predictions about AI and arguing that artificial general intelligence is a real possibility with major implications for class politics.
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Apollo's October 2026 Daily Spark commentary examining economic indicators of AI-related gains outside technology companies. Its conclusion is the firm's interpretation of the data shown.
A Communications of the ACM article setting out a research agenda for the economics of transformative AI, arguing that economic institutions are struggling to keep pace with AI capabilities.
Jobs for the Future's second-year study finding that 6 in 10 American workers still lack quality jobs, with lower job quality reported among Gen Z workers and people with records.
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