Updated
Updated · Bloomberg · Jun 4
Microsoft Pursues In-House AI Models as Anthropic Costs Prove Too High
Updated
Updated · Bloomberg · Jun 4

Microsoft Pursues In-House AI Models as Anthropic Costs Prove Too High

3 articles · Updated · Bloomberg · Jun 4

Summary

  • Microsoft is pushing to develop its own AI models after concluding Anthropic’s models are too expensive to rely on.
  • Cost is the central driver: the company said Anthropic’s pricing made those models unattractive, reinforcing the case for building internally.
  • The move points to a broader strategy of reducing dependence on outside model providers while gaining more control over AI economics and product development.
  • Across big tech, that cost pressure is shaping AI strategy—Meta is also trying to monetize its AI investments by selling businesses access to an AI agent on its apps.

Insights

As AI costs skyrocket, is building smaller, in-house models the key to survival for most businesses?
With AI spending soaring into trillions, are tech giants building real value or just an unsustainable cost bubble?
Will the trillion-dollar AI race create accessible tools for all, or forge a new class of digital monopolies?