May 18, 2026
AI panic? Commenters hit snooze
Enough with the AI FOMO, go slow-mo, says Domo CDO
Even the comments section is over the AI panic push and begging bosses to calm down
TLDR: A Domo executive says companies are rushing into AI because of fear, not smart planning, and should start smaller and slower. In the comments, readers were loudly on board, saying the public is getting tired of AI hype, junk content, and bosses buying into panic.
Chris Willis, a top design exec at Domo, basically walked into the AI capital of the world and asked the question a lot of regular people have been muttering for months: why isn’t everyone more annoyed? His argument is simple: tech firms have sold artificial intelligence like a panic button — use it now or get left behind, lose your job, and watch your rivals race past you. Willis says that’s not real innovation, that’s fear marketing with a shiny new wrapper.
And honestly? The crowd in the comments sounded very ready to co-sign. One reader said the hype machine works because it feeds pure executive FOMO — fear of missing out — especially in boardrooms where leaders feel pressured to buy something, anything, just to look modern. Another commenter went even harder, saying outside the Silicon Valley money bubble, people are no longer dazzled but flat-out fed up with AI spam, low-effort content, and the whole “easy button” vibe replacing actual useful work. That’s the real drama here: the mood seems to be shifting from excitement to irritation.
The funniest subplot? People were almost as obsessed with the article’s title as the argument itself. Multiple commenters basically stopped by just to applaud the headline, while one joker pitched an even snappier rewrite: “Domo Says No to AI FOMO”. In other words, the comments weren’t just reacting — they were workshopping the meme while cheering the takedown
Key Points
- •Domo executive Chris Willis said companies are being pushed toward AI adoption through fear of falling behind rather than through clear business strategy.
- •Willis argued that large language models are being marketed too broadly, creating confusion about what they are actually for and how they should be used.
- •He said many organizations are spending heavily on AI tools and treating adoption as performance theater instead of pursuing defined innovation goals.
- •The article cites "tokenmaxxing" as an example of heavy AI usage that may raise individual productivity without necessarily improving the bottom line.
- •Willis recommended starting with business processes and simple automation use cases, such as invoice-checking workflows, before pursuing larger AI ambitions.