April 19, 2026
Hype vs pink slips
CEOs admit AI had no impact on employment or productivity
CEOs shrug: AI didn’t boost work or jobs — commenters yell “then why the layoffs”
TLDR: A major study says most companies saw no AI boost to jobs or productivity, even as investments soared. Commenters split between “you’re using it wrong,” “layoffs weren’t about AI,” and “bubble incoming,” turning the thread into a showdown over hype, trust, and what AI actually does at work
Remember the old line, “You can see the computer age everywhere but in the productivity stats”? The crowd says it’s back — now starring chatbots. New data shows nearly 90% of firms report no AI impact on jobs or productivity in the last three years, even as companies brag about AI in earnings calls. Economists can’t spot AI in the big numbers either. Cue the comment-section cage match.
One camp is pure snark: “they’re holding it wrong,” says one poster, arguing the tech is fine and the suits are botching deployment. The other camp is furious: “Then why the layoffs???” asks another, suggesting AI was an excuse for cuts, not a cause. In between are weary realists like the daily users who confess they’re “having a very hard time finding where the productivity gains are,” despite all the glossy demos.
The thread digs into receipts: CEOs only use AI about 1.5 hours a week, and big studies are all over the place — from a tiny 0.5% decade-long bump MIT to a 1.9% productivity uptick Fed St. Louis. Meanwhile, worker trust is falling, and “AI brain fry” is trending as people feel more distracted than turbocharged. The buzziest take? We’re headed for an AI bubble correction: fewer hype machines, more boring-but-useful tools. Think the self-driving car promise — just slower, and with better slide decks
Key Points
- •An NBER study of 6,000 executives across the U.S., U.K., Germany, and Australia found nearly 90% of firms saw no AI-driven impact on employment or productivity over the past three years.
- •About two-thirds of surveyed executives used AI but for only ~1.5 hours weekly on average; 25% reported no AI use at work.
- •Executives expect AI to raise productivity by 1.4% and output by 0.8% over the next three years; firms foresee a 0.7% employment decline while employees reported a 0.5% increase.
- •Despite 374 S&P 500 companies mentioning AI positively in earnings calls (FT analysis), broad productivity gains are not yet visible.
- •Evidence is mixed: St. Louis Fed observed a 1.9% excess productivity rise since ChatGPT’s debut; a 2024 MIT study projects only 0.5% productivity growth over a decade; worker trust fell even as usage rose (ManpowerGroup).