Microsoft was on track to spend $1 billion this year on internal use of Anthropic’s technology, but it has since lowered that figure by one-third. The Anthropic tools include Claude Code, Claude models in Microsoft’s Copilot and Claude Mythos, according to the report.
A Microsoft spokesperson said in the report that the company has been steering staff to use its GitHub Copilot coding tool, although engineers can still choose to use other models, per the report.
Meta has reduced the number of its employees using Anthropic’s Claude Code from about 60,000 earlier this year to 30,000, largely by pushing them to use its Claude Code competitor, Muse Code, and its in-house-only tool MetaCode, according to the report.
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Meta had been on track to spend billions of dollars this year on internal use of AI tools, with Claude Code being the most popular tool, per the report.
Meta did not comment in The Information’s report, and the company did not immediately reply to PYMNTS’ request for comment.
The Wall Street Journal reported Monday that companies are finding it increasingly difficult to forecast AI spending. The report cited a study that showed that just 11% of almost 400 surveyed businesses could accurately project their AI costs.
The report said that AI differs from standard software in that it “behaves more like a human worker,” taking actions and making decisions and mistakes while it’s on the clock.
The Ramp AI Index released Aug. 12 found that the top 1% of businesses in the United States spent a median of $7,400 per employee on AI in July. The median company spent just $11.95 per employee, meaning the heaviest spenders have AI budgets more than 600 times larger, per employee, than a typical business and roughly 11 times larger than the next tier of aggressive adopters.
Anthropic captured the biggest share of that money, as the company leads overall business adoption, with 43.5% of U.S. businesses paying for its subscriptions or tokens as of July, the report said.
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