Artificial Intelligence in the Knowledge Economy
Enrique Ide and
Eduard Talamàs
Journal of Political Economy, 2025, vol. 133, issue 12, 3762 - 3800
Abstract:
Artificial intelligence (AI) can transform the knowledge economy by automating noncodifiable work. To analyze this transformation, we incorporate AI into an economy where humans form hierarchical organizations: less knowledgeable individuals become “workers” doing routine work, while others become “solvers” handling exceptions. We model AI as a technology that converts computational resources into “AI agents” that operate autonomously (as coworkers and solvers/copilots) or nonautonomously (solely as copilots). Autonomous AI primarily benefits the most knowledgeable individuals; nonautonomous AI benefits the least knowledgeable. However, output is higher with autonomous AI. These findings reconcile contradictory empirical evidence and reveal trade-offs when regulating AI autonomy.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1086/737233 (application/pdf)
http://dx.doi.org/10.1086/737233 (text/html)
Access to the online full text or PDF requires a subscription.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ucp:jpolec:doi:10.1086/737233
Access Statistics for this article
More articles in Journal of Political Economy from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().