Meta and Microsoft push to curb employee use of Claude as Meta staff using Claude Code halve to about 30,000 this year.
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| Source: Techmeme | Original article
Meta and Microsoft are urging cuts in employee use of Anthropic's Claude AI, with Meta's Claude Code users halving to roughly 30,000 from 60,000 earlier this year.
Meta Platforms and Microsoft are scaling back internal reliance on Anthropic’s Claude AI models, according to a series of reports from The Information. At Meta, the number of employees using Claude Code has fallen to roughly 30,000, half the figure recorded earlier in the year. Microsoft has trimmed its projected internal spend on Claude by more than a third, cutting an earlier estimate of at least $1 billion. Both firms are nudging staff toward proprietary tools – Meta’s own AI stack and Microsoft’s Azure‑based Copilot suite – rather than the third‑party service.
The shift matters because Claude has been one of Anthropic’s fastest‑growing revenue streams, buoyed by large corporate licences that underpin the company’s recent expansion. A sharp drop in internal usage by two of its biggest customers threatens that momentum and could force Anthropic to rethink pricing, product positioning, or the balance between enterprise licences and external developer access. The move also underscores a broader trend: tech giants are consolidating AI capabilities in‑house to protect data, control costs and differentiate their product ecosystems.
What to watch next is whether Anthropic will respond with new pricing tiers, enhanced enterprise features, or deeper integration incentives to retain corporate users. Analysts will also monitor if other large adopters, such as Google or Amazon, follow a similar path, and how the reduced internal spend impacts Anthropic’s roadmap for upcoming model releases. Finally, any public statements from Meta or Microsoft about the timeline for broader rollout of their own AI assistants will signal how quickly the industry is moving away from third‑party foundations toward self‑served AI infrastructure.
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