An Antimonopoly Approach to Governing Artificial Intelligence

By Yale Law & Policy Review.

Summary: Legal analysis proposing antitrust and antimonopoly tools to address concentrated corporate power in the AI industry.

Relevance: Fits Inequality & Algorithmic Harm and Labor & Economy: the piece argues that AI concentration in a handful of firms (Nvidia’s 80-95% GPU share, three cloud providers controlling infrastructure) shapes which applications get built and whose interests they serve, which matters for social workers thinking about who controls the tools increasingly mediating welfare, health, and labor systems.

Key findings: Nvidia holds roughly 80-95% of the GPU market and cloud infrastructure is concentrated among AWS (30%+), Azure (~20%), and Google Cloud; the authors argue existing antitrust law works too slowly (“ex post”) to stop this consolidation and propose networks/platforms/utilities regulation, public options, and cooperative governance instead.

Read the original: https://yalelawandpolicy.org/antimonopoly-approach-governing-artificial-intelligence