Meta and Microsoft Scale Back Anthropic Reliance Amid Push for In-House AI Tools

Yahoo Finance ·

Major tech corporations Meta Platforms and Microsoft are actively decreasing their reliance on Anthropic's Claude models for internal operations. According to recent reports, Microsoft slashed its projected internal expenditure on Claude by over a third, implementing strict token budgets and directing developers toward OpenAI models through GitHub Copilot. Simultaneously, Meta saw internal users of the Claude Code assistant drop from 60,000 to 30,000 as it steers engineers toward proprietary alternatives like MetaCode and Muse Code. These adjustments arrive as Anthropic prepares for its anticipated initial public offering, facing increased scrutiny from enterprise clients over software deployment costs and data privacy. Despite these internal pullbacks, Anthropic continues to expand its broader enterprise revenue base. On the market front, META shares gained 2% on Monday, while MSFT stock advanced 1.4%, reflecting ongoing investor attention.

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Meta and Microsoft are drastically reducing their internal usage of Anthropic models to cut costs and foster proprietary AI tools. Microsoft has reduced its projected annual spending on Claude by over a third and lowered its token usage limit from $100,000 to $10,000 per month. Meanwhile, Meta saw its Claude Code user count drop from 60,000 to 30,000, shifting toward its in-house solution, Metacode. This poses a potential negative factor for Anthropic ahead of its IPO, while being interpreted as a sign of improved cost efficiency among major big tech companies.

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Large technology companies are reducing their reliance on external vendors and pivoting toward internal infrastructure and strategic partner models to cut AI-related software costs. Microsoft is steering developer workflows toward GitHub Copilot and OpenAI models, while Meta is accelerating internal adoption through tools like Metacode.

Key watchpoints ahead include whether Anthropic's IPO will be successful and whether corporate customers will undergo additional cost re-evaluations. It is necessary to closely monitor whether the transition to proprietary AI by big tech companies will lead to cost savings and margin improvements, or result in a slowdown of external innovation.

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