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Simon Willison argues rumors of Microsoft and Uber slashing developer AI budgets due to high costs lack strong evidence

Anthropic is rumored to be nearing its first profitable quarter

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In the last 30 days alone: – Microsoft cancelled most of its Claude Code licenses, citing cost – Uber burned through its entire 2026 AI budget in 4 months – Uber's COO publicly said AI costs are "harder to justify" – A Fortune 20 CEO ordered token spending to be "dramatically slashed" – One company spent $500M in a single month on Claude with no usage limits – H200 rental prices crashed from $7/hr to $4/hr in three weeks The stocks: still at all-time highs. How long can the market keep ignoring the receipts?

12:43 PM · May 28, 2026 View on X

@Austen It was the CTO who said that about the budget - the COO did reference that in a bit of the quote that I left out because it was harder to edit into non-speaking-prose

And I think over the over the coming quarters and years, like Maybe that will become clearer, but I think today it's hard, even if some of the underlying metrics are like trending in a really astronomical direction. Uh our CTO um Praveen went viral because he effectively said in an interview that we had blown through our AI budget. um for twenty twenty six and it was like, you know, middle of March or something when he when he said this, and everyone was like, Oh, you know head exploding moment we're gonna have to start talking about, you know, token consumption and the associated cost versus headcount and like making trades on that as an engineering organization. And so if you're not actually able to draw a direct line to how much you know, useful features and functionality you're shipping to your users, that trade becomes harder to justify.
Austen AllredAusten Allred@Austen

If this is the source the Uber COO didn’t say anything vaguely related to Uber having spent their entire annual AI budget in the first few months. If he actually said that there would be thousands of people from Uber who can corroborate. Is that story fake too?

12:46 PM · May 29, 2026 · 8.9K Views
1:36 PM · May 29, 2026 · 1.9K Views

@Austen I don't think "we spent our 2026 budget in 4 months" is particularly notable given that the budget would have been set in 2025 when nobody knew how good Claude Code et al were about to get as-of January

Simon WillisonSimon Willison@simonw

@Austen It was the CTO who said that about the budget - the COO did reference that in a bit of the quote that I left out because it was harder to edit into non-speaking-prose

1:36 PM · May 29, 2026 · 1.9K Views
1:37 PM · May 29, 2026 · 1.4K Views

@Austen I wrote a little bit more about the Uber CTO thing on my blog https://simonwillison.net/2026/May/27/product-market-fit/#the-ai-failure-stories-around-this-are-pretty-thin

The AI-failure stories around this are pretty thin #

I started digging into this in response to a growing volume of stories claiming that large companies were sounding the alarm because their AI usage costs had grown so large.

The most widely cited of these stories appear quite overblown to me.

The most discussed has been Uber, based on this report where CTO Praveen Neppalli Naga indicated that Uber had “maxed out its full year AI budget just a few months into 2026”, mostly thanks to Claude Code.

Given that Claude Code only got really good in November it’s entirely unsurprising to me that a budget set in 2025 may have failed to predict demand for that tool in 2026!
Simon WillisonSimon Willison@simonw

@Austen I don't think "we spent our 2026 budget in 4 months" is particularly notable given that the budget would have been set in 2025 when nobody knew how good Claude Code et al were about to get as-of January

1:37 PM · May 29, 2026 · 1.4K Views
1:40 PM · May 29, 2026 · 284 Views

I'm suspicious of that that whole story about Uber blowing their AI budget and being disappointed in the results - I dug into it and it appears to have been built on very shaky foundations

I started digging into this in response to a growing volume of stories claiming that large companies were sounding the alarm because their AI usage costs had grown so large.

The most widely cited of these stories appear quite overblown to me.

The most discussed has been Uber, based on this report where CTO Praveen Neppalli Naga indicated that Uber had “maxed out its full year AI budget just a few months into 2026”, mostly thanks to Claude Code.

Given that Claude Code only got really good in November it’s entirely unsurprising to me that a budget set in 2025 may have failed to predict demand for that tool in 2026!

That Uber story was further fueled by comments made by Uber’s COO, Andrew Macdonald, on the Rapid Response podcast. I tracked down the segment and there really isn’t much there. Here’s what Andrew said:
But then you sometimes go and talk to your senior engineering leaders and you’re saying, OK, how many projects that were on the cutting room floor got moved above the line because of the productivity gains because 25% of our code commits were via Claude Code last quarter?

That link is not there yet, right? I think maybe implicitly there’s more that is getting shipped. But it’s very hard to draw a line between one of those stats and, OK, now we’re actually producing like 25% more useful consumer features, right? And that line is hard to draw.

Somehow this fragment turned into headlines like Uber’s COO says it’s getting harder to justify the money spent on AI tokenmaxxing, because the market for stories about AI failures remains enormous.
3:57 AM · May 29, 2026 · 92.7K Views

Links to original sources: https://simonwillison.net/2026/May/27/product-market-fit/#the-ai-failure-stories-around-this-are-pretty-thin

Simon WillisonSimon Willison@simonw

I'm suspicious of that that whole story about Uber blowing their AI budget and being disappointed in the results - I dug into it and it appears to have been built on very shaky foundations

3:57 AM · May 29, 2026 · 92.7K Views
3:58 AM · May 29, 2026 · 13.7K Views

Here's an extended edit of the quote that includes a following fragment where Andrew Macdonald called the trade "harder to justify" - full, unedited transcript is here: https://gist.github.com/simonw/59096a338c82f6f95e40e3d7c7b5bad9

But then you sometimes go and talk to your senior engineering leaders and you’re saying, OK, how many projects that were on the cutting room floor got moved above the line because of the productivity gains because 25% of our code commits were via Claude Code last quarter?

That link is not there yet, right? I think maybe implicitly there’s more that is getting shipped. But it’s very hard to draw a line between one of those stats and, OK, now we’re actually producing like 25% more useful consumer features, right? And that line is hard to draw.

[...] And so if you’re not actually able to draw a direct line to how much useful features and functionality you’re shipping to your users, that trade becomes harder to justify.
Simon WillisonSimon Willison@simonw

Links to original sources: https://simonwillison.net/2026/May/27/product-market-fit/#the-ai-failure-stories-around-this-are-pretty-thin

3:58 AM · May 29, 2026 · 13.7K Views
1:33 PM · May 29, 2026 · 5.7K Views

I regret having missed that "harder to justify" line from my original quote, the paragraph it's embedded in was a little bit mangled but I should have worked harder to edit that in

And I think over the over the coming quarters and years, like Maybe that will become clearer, but I think today it's hard, even if some of the underlying metrics are like trending in a really astronomical direction. Uh our CTO um Praveen went viral because he effectively said in an interview that we had blown through our AI budget. um for twenty twenty six and it was like, you know, middle of March or something when he when he said this, and everyone was like, Oh, you know head exploding moment we're gonna have to start talking about, you know, token consumption and the associated cost versus headcount and like making trades on that as an engineering organization. And so if you're not actually able to draw a direct line to how much you know, useful features and functionality you're shipping to your users, that trade becomes harder to justify.
Simon WillisonSimon Willison@simonw

Here's an extended edit of the quote that includes a following fragment where Andrew Macdonald called the trade "harder to justify" - full, unedited transcript is here: https://gist.github.com/simonw/59096a338c82f6f95e40e3d7c7b5bad9

1:33 PM · May 29, 2026 · 5.7K Views
1:34 PM · May 29, 2026 · 4.7K Views

If this is the source the Uber COO didn’t say anything vaguely related to Uber having spent their entire annual AI budget in the first few months.

If he actually said that there would be thousands of people from Uber who can corroborate.

Is that story fake too?

Simon WillisonSimon Willison@simonw

I'm suspicious of that that whole story about Uber blowing their AI budget and being disappointed in the results - I dug into it and it appears to have been built on very shaky foundations

3:57 AM · May 29, 2026 · 92.7K Views
12:46 PM · May 29, 2026 · 8.9K Views