The Compute Oligarchy: Can a Few Companies Own the Means of Intelligence?

The public often imagines artificial intelligence as software floating freely across the internet.

In reality, advanced AI depends on expensive physical infrastructure. It requires specialized chips, enormous data centers, high-speed networks, electricity, cooling systems, engineering talent, and billions of dollars in capital.

Very few organizations can assemble all of these resources.

This concentration creates what I call the compute oligarchy. A small number of cloud companies, chip manufacturers, and frontier laboratories increasingly control the infrastructure required to build and operate the most capable AI systems.

The Federal Trade Commission examined major partnerships among Microsoft and OpenAI, Amazon and Anthropic, and Alphabet and Anthropic. Its staff report warned that these arrangements may affect access to computing resources and engineering talent, increase switching costs, create technical lock-in, and give major cloud providers access to sensitive business and model-development information.

The concern is not that large companies should be prohibited from investing in AI. Frontier development is expensive, and partnerships can accelerate innovation.

The concern is whether new competitors can meaningfully enter the market.

A startup may have a better idea but lack access to affordable computing. A university may have exceptional researchers but insufficient infrastructure. A government agency may become dependent on a vendor whose pricing, policies, or availability it cannot control.

When computing power becomes concentrated, control over AI can extend beyond technology. A few companies may influence who receives access, what uses are permitted, which models survive, and what forms of research remain economically possible.

Open weights, smaller models, shared research infrastructure, and public computing resources can reduce this imbalance. They will not eliminate it, but they can prevent every useful AI application from requiring a permanent relationship with a hyperscale provider.

Intelligence should not become a metered capability available only through a handful of corporate gateways.