A growing number of tech companies are beginning to question whether the massive cost of generative AI is sustainable, even as the industry continues to market artificial intelligence as the future of work. A viral X post this week claimed that “Amazon has reportedly scrapped its internal AI leaderboard as costs soared,” adding that a senior executive told staff: “don’t use AI just for the sake of using AI.”
Another X post listed several examples of companies struggling to control AI-related spending. The post claimed: “A company spent $500,000,000 on Claude in one month because nobody set usage limits.” It also alleged that “Uber ran leaderboards ranking engineers by how much AI they used, not what they shipped,” and that “Uber burned their entire 2026 budget by April. Their COO said he can’t connect any of it to consumer features.”
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The same post further stated: “A CTO told Axios employees were using enterprise AI to check the weather,” while adding that “Microsoft canceled most Claude Code licenses because the token bill spiraled.” The post ended with a broader warning about the financial pressure companies are now facing: “Companies are now laying people off to pay the AI bill. Not because AI replaced the work. Because the bill replaced the headcount.”
According to The Verge, Microsoft has been reducing the use of Anthropic’s Claude Code licenses for many employees, with cost reportedly playing a role in the decision.
In a recent interview on the “Rapid Response” podcast, Andrew Macdonald acknowledged the growing disconnect between soaring AI spending and tangible consumer benefits, adding to concerns already spreading across the tech industry. Macdonald said it has become difficult to clearly link Uber’s expanding use of Anthropic’s Claude Code tools with innovations that directly improve the customer experience.
The comments also reinforce a broader trend emerging across Silicon Valley, where companies that once aggressively pushed AI adoption are now reassessing spending after operational expenses surged faster than expected. Several media reports stated about internal restrictions, canceled AI licenses and warnings over uncontrolled usage are becoming more common as firms attempt to bring costs under control.
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Last month, Axios senior AI correspondent Madison Mills told CNN that she has been hearing directly from companies about the scale of their AI spending.
For years, the belief that AI would eventually replace millions of workers helped fuel enormous investment across the tech sector. The promise of automation became one of the central arguments behind the AI boom. But as operating costs rise, some companies are now confronting a different reality such as keeping human employees may still be cheaper than running large-scale AI systems.

