July 18, 2026
AI fever dream or office reality?
AI Mania Is Eviscerating Global Decision-Making
Bosses are being called "AI hypnotized" as the comments split into panic and pushback
TLDR: A tech insider claims the AI boom is driving terrible decisions across major organizations and says the projects he’s seen are all flopping. Commenters are split between calling executives completely spellbound and arguing the writer is being wildly too gloomy, which matters because these choices affect real jobs and services.
The article basically throws a molotov cocktail into the boardroom: one well-connected tech insider says companies, banks, hospitals, and even government offices are deep in "AI psychosis" and making wild decisions they can’t rationally defend. His boldest claim? In a year and a half of watching these projects up close, he’s seen a 0% success rate. That is the kind of line that instantly turns a comment section into a gladiator arena.
And wow, the crowd did not disappoint. One of the loudest reactions came from people who felt the author was simply saying the quiet part out loud. "Every executive team is under AI hypnosis," one commenter declared, turning the whole debate into less of a business trend and more of a corporate zombie movie. Another commenter added a little conspiracy seasoning, joking that the post seemed to vanish from Hacker News fast — then laughing at the irony that the article itself recommends staying away from places like Hacker News and Reddit if you want to keep your sanity.
But not everyone was ready to join the doom parade. One pushback comment said the piece was far too negative, arguing that even simple AI tools are already helping non-technical workers answer questions and make charts they couldn’t build before. That clash — mass delusion or real usefulness — is the real drama here. The funniest part? Even the skeptics sound exhausted, like everyone is trapped in a workplace talent show where every act somehow has to be about AI.
Key Points
- •The article argues that many organizations in business and government are pursuing AI without clear plans or reliable evidence of success.
- •The author says internal incentives make it difficult to get honest reporting on whether AI projects are delivering productivity gains.
- •The article claims some companies publicly report AI gains after limited adoption steps such as purchasing Microsoft Copilot licenses.
- •Based on the author’s own reported observations over about 18 months, the team saw no successful AI projects among those they were involved in or monitored.
- •The author says their team rejected AI implementation work and tried to limit business exposure to what the article describes as an AI bubble.