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AI sticker shock hits corporate America

https://www.axios.com/2026/05/28/ai-spending-roi-enterprise-costs
45•1vuio0pswjnm7•1h ago

Comments

cynicalsecurity•31m ago
> Instead, they should focus on using AI to drive revenue.

There is a complete disconnect between wages of employees and company's revenue => Why aren't employees working towards revenue? What a mystery. Children, let's help Elmo solve this mystery.

And then random mass layoffs to make numbers for shareholders look great in quarterly reports. Surely this motivates people work to their fullest potential and to care for company's revenue.

roxolotl•13m ago
Even better there’s a complete disconnect between revenues and metrics we use to measure productivity. Corporate wants to believe there’s numbers you can use to measure knowledge workers like widget makers where there’s really not much that’s effective beyond revenue.
Spide_r•29m ago
https://archive.is/crTG8
CuriouslyC•27m ago
This is almost entirely on Anthropic and the stupid C suite people trying to push TokenMaxxing. GPT5.5 is much more token efficient, other models are much cheaper, and if used in moderation rather than than trying to get everyone to OpenClaw 24/7 with token leaderboards, it's much more economical.

Also ironically, a lot of GenZ and young Millenials who were already bitter at their employers have used the tokenmaxxing push to sabotage the AI rollouts by burning tokens on stupid shit. It seems to be working.

kleiba2•18m ago
Citation needed.
throwatdem12311•17m ago
I’m an “old millenial” and the excessive burning of tokens will continue until working conditions improve.
voidfunc•10m ago
Working conditions are fine, I simply am not incentivized to be efficient with tokens.
6stringmerc•17m ago
Counterpoint: based on a lot of anecdotes here, the most likely people to burn tokens aren’t GenZ but managers using ChatGPT to respond to questions or otherwise as an outsourcing of their job. There aren’t enough GenZ in the workforce to back your claim in my opinion.

Token efficiency where instead of the AI burning money at 1:3 instead of 1:5 isn’t quite a winning argument.

fullshark
Arodex•13m ago
>Corporate leaders are starting to question whether soaring AI spending is delivering meaningful returns.

We should start to question whether soaring CEO salary spending is delivering meaningful results.

Arodex•10m ago
Just a week ago, Anthropic barely breaking even was hailed as AI companies being close to profitability much earlier than forecast.

In fact it is all smoke and mirrors, pure mania from C-level executives out of their depth trying to one-up each other with company money, and they aren't even close.

cmiles8•10m ago
CEOs: “Get me some of that GenAI”

CTO: “OK, we have all the GenAI”

CEOs: “Employees, it’s GenAI or bust”

Employees: Tokenmax

CFO: “Um, this is costing a ton and we’re not seeing savings materialize.”

CEO: “Are we getting any value out of this?”

COO: “not really”

CEO: “OK, well, let’s do a big layoff and then I’ll just say it was because of AI. Hopefully folks won’t blame me for the mess and I’ll just talk about how amazing AI is.”

swader999•8m ago
"An AI consultant tells Axios one of their clients recently spent half a billion dollars in a single month after failing to put usage limits on Claude licenses for employees." Like physically, how could this even happen?
•
8m ago
There's no way managers using LLMs to answer emails are burning tokens at a comparable rate someone trying to utilize inference in production systems is.
SupLockDef•15m ago
Are you saying that making a leaderboard of who is spending the most is going to be expensive?

They couldn't see that coming, but for sure they can predict how the future will be when it's time to sell their "visions" of the world.

Meanwhile, sheep's are going to believe and max their token usage with their own wallet. "You are so be left behind if you're not".

It's a mass psychosis. The only winners here are the hardware manufacturers, like nvidia for instance.

kombookcha•9m ago
The other day I had to read a C-suite guy share how he had an epiphany that spending more tokens did not linearly align with more useful features being output by the teams. He was describing it as this breakthrough moment for him, as if it wasn't glaringly obvious that making the KPI "spend more tokens" would result in inefficient token spending, not massive value for the customer.

It's baffling how these people have entirely shut their ears to all the obvious warnings about this, and are now congratulating themselves for their slightly less psychotic outlook and pivoting to blaming the workers for inefficient usage, after specifically forcing them to tokenmaxx.

mayhemducks•9m ago
Excessive token burning as a tactic to annoy your employer probably does the opposite - it probably makes your employer money.

The more tokens you burn, the more demand for hardware there will be. More demand for hardware means higher stock prices -> more money in your employer's pocket.

The only question is how long that can last. If taken to an extreme, the output of the AI will get worse over time, and if it gets bad enough, for long enough, people will use it less and less, and demand will slowly evaporate.

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