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AI Compute Industry

Compute, Algorithms, and Data are the three pillars of the AI industry, where Data is the most valuable asset in the world.

The AI industry is a rapidly evolving field that encompasses a wide range of technologies and applications. It includes everything from machine learning and natural language processing to computer vision and robotics.

Centralized​

  • Amazon
  • Anthropic
  • Google
  • Meta
  • Microsoft
  • OpenAI

Decentralized​

Which projects should be bundled into a business package?

Questions​

If data is the most valuable asset in AI, who controls data provenance — centralized hyperscalers or permissionless compute networks like Bittensor?

  • The centralized tier lists Amazon, Anthropic, Google, Meta, Microsoft, and OpenAI — at what point does decentralized compute (Bittensor) offer quality parity with hyperscaler inference for specialized tasks?
  • Compute, algorithms, and data are named as the three pillars — which of the three is hardest to decentralize, and does that asymmetry determine where the moats form?
  • AI is described as "eating software" — does that mean the software industry players listed under centralized AI become distribution channels, or do they get displaced by the models they're running?