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Artificial Intelligence in the Knowledge Economy
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“Notably, expert staffing remains unchanged compared to the baseline. Since entry-level workers escalate all tasks beyond their own knowledge boundary x , every task in ( x, 1] generates a communication cost of t c , regardless of whether it can ultimately be resolved by experts (Ide and Talamas 2025). Accordingly, the total expert time, and hence the required expert headcount, remains (1 -x ) t c”
From Generative AI and Organizational Structure in the Knowledge Economy (2025) · cites this paper as Ide and Talamas 2025
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Cited by
Large Language Models, Small Labor Market Effects
Humlum, A., & Vestergaard, E. (2025) · doi:10.2139/ssrn.5219933 · Cited by 27
Generative AI and Organizational Structure in the Knowledge Economy
Xu, F., Hou, J., Chen, W., & Xie, K. (2025) · arXiv · doi:10.48550/arxiv.2506.00532 · Cited by 22
Hosseini Maasoum, S. M., & Lichtinger, G. (2025) · doi:10.2139/ssrn.5425555 · Cited by 31
The Early Impacts of AI on Employment among Recent College Graduates
Fairlie, R., & Wu, J. (2026) · doi:10.3386/w35796
Metadata
- Authors
- Ide, E., & Talamàs, E.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 2025-12-01
- Volume
- 133
- Issue
- 12
- Pages
- 3762-3800
- ISSN
- 0022-3808
- 1537-534X
- Cited by
- 43
- References
- 11
- Language
- en
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