The impact of AI on global knowledge work
We analyze how Artificial Intelligence (AI) reshapes global knowledge work in a two-region world where firms organize production hierarchically to use knowledge efficiently: the most knowledgeable individuals specialize in problem-solving, while others perform routine work. Before AI, the Advanced Economy specializes in problem-solving services, whereas the Emerging Economy focuses on routine work. AI converts compute — which is located in the Advanced Economy — into autonomous “AI agents” that perfectly substitute for humans with a given level of knowledge. Basic AI reduces the Advanced Economy’s net exports of problem-solving services, potentially reversing pre-AI trade patterns. In contrast, sophisticated AI expands these exports, reinforcing existing trade patterns. Finally, we show that a global ban on AI autonomy redistributes AI’s gains toward lower-skilled workers, while a regional ban — such as prohibiting autonomy only in the Emerging Economy — offers little benefit to lower-skilled workers and harms the most knowledgeable individuals in that region. • The introduction of “Basic AI” potentially reverses pre-AI trade patterns. • The introduction of “Sophisticated AI” reinforces pre-AI trade patterns. • A global ban on AI autonomy redistributes AI’s gains toward lower-skilled workers. • A regional ban barely helps low-skilled workers and harms its highest-skilled.
Authors
- Eduard Talamàs (ORCID: https://orcid.org/0000-0002-9128-0532)
- Enrique Ide (ORCID: https://orcid.org/0000-0002-7113-6832)
Institutions
- Josep Carreras Leukaemia Research Institute (ES)
- IESE Business School (ES)
Publication Details
- Journal
- Journal of Monetary Economics
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1016/j.jmoneco.2025.103876
- Primary Topic
- Digital Economy and Work Transformation
- Type
- article
- Field-Weighted Citation Impact
- 0.00