AI job-impact paper reviewed by Acemoglu, Autor — measures pressure, not outcomes
soumitrashukla9 · x · 2026-10-23
The author reveals his paper on AI's pressure on occupations was improved by comments from heavyweight reviewers including Daron Acemoglu, David Autor, Anna Stansbury, Avi Goldfarb and Daniel Rock before release.
He also flags the key caveat: the paper measures potential pressure on jobs, and whether it materializes depends on how firms actually integrate AI into their workflows — integration bottlenecks remain to be measured.
More from AGI Musings
- Only 4% of CIOs have plans for human-agent workforce, report finds — rseroter · 2026-10-23
- Anil Seth wins Berggruen Prize: consciousness is of life, not computation — anilkseth · 2026-10-23
- New 'bottleneck pressure' measure shows AI reshapes jobs task by task — soumitrashukla9 · 2026-10-23
- Tübingen called the best AI academia bet outside top US schools, Dec 13 deadline — maksym_andr · 2026-10-23
- Genome language models and AI agents mine the genome's 'dark matter' for noncoding RNA discovery — BrianHie · 2026-10-23
- Ex-OpenAI futurist Joshua Achiam warns AI hacks could trigger internet lockdowns within months — jachiam0 · 2026-10-23