Execs Confused and Horrified by the Huge AI Bills After Thinking They Could Replace Workers for Free
Joe Wilkins
Wed, July 8, 2026 at 7:27 PM GMT+5:30
3 min read
The bad news is that this situation has created a world-historic financial market that, by some metrics, is looking worse than the run-up to the Great Depression. The good news is that this future of an AI takeover is looking increasingly unlikely, at least at the industry’s current pace, a fact which is now dawning on some of the biggest rubes and dupes in the corporate world
According to a new survey from “Big Four” accounting firm KPMG, a significant number of corporate executives are reeling from sticker shock over new usage-based AI pricing schemes. Though enterprises could once count on AI companies to subsidize the price of large language models cost of computational power forces the entire tech sector into a defensive posture
The KPMG report, initially flagged by theRegister, surveyed 2,145 senior execs across 20 countries, finding that an astonishing 29 percent of them had no idea where the growing costs associated with AI were coming from
A further third confessed that their own cluelessness about AI economics was a barrier to successfully deploying AI in the workplace, the Register notes
“As usage-based pricing models become more common, many organizations are still building the capabilities required to forecast, monitor, and manage AI spending effectively,” the report authors write. Translation: one third of execs had no plan for how to actually use AI productively, a fact which is becoming increasingly clear now that the meter is running
The finding underscores what many workers forced to use AI tools on the job have come to suspect: that an alarming number of corporate leaders treat AI as a plug-and-play solution for lowering overheard without understanding the how of it all, a kind of magical thinking entirely divorced from practical reality
On the same token, it’s important not to lose sight of the fact that AI — or more accurately, the myth surrounding it — is currently being deployed across the world as a tool to discipline labor, to force workers into a weaker position when it comes to wage negotiations, benefits, and overall stability
Whether used as an excuse to strap surveillance cameras to factory workers’ heads or as a justification for widespread layoffs, execs don’t need to a PhD in machine learning to know that AI in its current, error-prone form is mainly good for keeping the worker bees in line
