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Corporations rein in AI usage, citing high token costs

AI
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AI "tokens" refer to inputs (characters, words, etc) for prompts, with complex prompts or high prompt volume driving up token usage significantly.
Big Tech and Corporate America have made a quick turn from encouraging "tokenmaxxing" to limiting it as burning AI tokens en masse becomes more expensive than regular employees.

Not long ago, headlines were abound concerning a move from executives to encourage that AI used as much as possible to improve productivity, often while also cutting employees. The most infamous example of that mentality at work was from Nvidia CEO Jensen Huang, who stated that he'd be deeply alarmed if Nvidia engineers were not burning half their $500K salary in AI tokens to get the job done. He even went so far as to compare it to a chip designer using paper and pencil instead of CAD.

Here in reality, it turns out that's an egregiously expensive way to run a business even when you fire employees to pay for it, and megacorporations like Microsoft, Uber, Meta, and Amazon are reining in the excess of "tokenmaxxing." While the first two are more directly limiting AI usage (with Microsoft canceling most of its Claude Code licenses and Uber operations chief Andrew Macdonald stating it's "getting harder to justify" AI spending,) the latter two haven't outright stated AI is too expensive or that they're reining it in. What we have seen in response to leaks of internal AI token usage leaderboard leaks is that those leaderboards have been taken down, meaning tokenmaxxing is no longer being encouraged at those companies.

It's more than just Big Tech, as well. Per Gizmodo, an anonymous AI consultant informed Axios that one of its clients had accidentally spent half a billion USD in a single month by failing to limit Claude usage for its employees. We've also seen at best mixed reports of AI usage actually improving productivity: a report from OpenAI only indicates productivity improvements by "an hour a day" and an MIT study of 350 public deployments indicates that 95% of them fail to turn a profit or achieve performance goals.

It's an interesting turn for the conversation regarding AI in the enterprise, and indeed one that heavily contradicts the words of zealots who profit from its adoption at the expense of existing workers. Especially at the corporate level, AI is not free.

Source(s)

Gizmodo, Tom's Hardware (Jensen Huang comment)

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> Expert Reviews and News on Laptops, Smartphones and Tech Innovations > News > News Archive > Newsarchive 2026 05 > Corporations rein in AI usage, citing high token costs
Christopher Harper, 2026-05-31 (Update: 2026-05-31)