Week 7
IN THIS LESSON
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This Harvard study analysing 124 years of U.S. labor data finds that AI is already disrupting the workforce.
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This research paper analyses Europe's AI talent landscape, finding that mid-level AI skills are the backbone of the European AI labour market, while both entry-level AI literacy and advanced AI engineering skills remain undersupplied across European countries.
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This article provides a counterargument to the strongest versions of AI-related job automation.
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This literature review examines AI's dual impact on labor markets, showing how it creates new opportunities and increases productivity while also causing job displacement and inequality, ultimately arguing that proactive policies, reskilling programs, and ethical AI development can transform challenges into opportunities for economic growth and improved working conditions.
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Read:
Executive Summary (p. 2-4)
The economics of foundation models Focus on: "Supply-side economies of scale" (p. 9-11) and "The resulting market structure" (p. 18)
The implications of market concentration (p. 24-29)
Policy recommendations (p. 30-37)
This paper analyses the structure of the market for foundation models and finds that they tend towards natural monopolies over vast markets. The authors recommend responding through both antitrust and market regulation.
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Read:
Abstract
Appendix 2 & 3
This paper outlines many potential strategies for managing competition between frontier labs, focusing on the competition law of the European Union. One of the authors, Shin-Shin Hua, is assistant director at the UK Competition & Markets Authority.
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Read only:
Executive Summary (p.2)
1. Introduction (p.5-7)
5. Future areas of interest for competition policy and AI (p. 49-52)
The OECD lays out their principles for ensuring that international AI development is guided by market competition.
