In Episode 5 of the Control in AI series, we show how standard antitrust tools (market definition, SSNIP tests, and price indices) fail in AI markets. You’ll learn about the tariff system, economies of scale and scope, stacked demand, emergent switching costs, and why competition in AI is driven much more by quality and capability than price.
This episode shows why the architecture of AI markets presents particular difficulties for regulators and why traditional playbooks fail.
Read the full article and graphic analysis:
Control in AI — Episode 5: The Price of Intelligence: Why AI Breaks Standard Antitrust Tools
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In 30 seconds: Why AI Breaks Standard Antitrust Tools
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