The Promises Failed, Not the Technology

Newslaundry is calling AI hype “a trillion-dollar lie.” MIT is tracking hype escalation with an index. Substack has a piece literally named “The Big Chill 2026.” And when Bluesky — a platform whose entire identity is built on openness and user trust — quietly added AI features, its own community revolted.

That last one is worth sitting with. Bluesky’s users aren’t your average tech skeptics. They migrated from Twitter specifically because they care about how platforms work and who controls them. They voted yes to decentralization and federation. And they still said no to AI on sight.

That’s trust erosion, not technophobia.

Here’s the thing: the fatigue isn’t about the technology underperforming. For anyone using AI in daily work — actual workflows, not demos — the tools are genuinely useful. The fatigue is about the gap between what’s being sold and what practitioners experience. Every breathless press release about “transforming industries” makes it marginally harder to have an honest conversation about what actually works and what doesn’t.

The financial press is doing both things simultaneously: debating whether this is the biggest hype cycle of the generation while reporting record investment. Which tells you the money isn’t following the evidence — it’s following the story.

For practitioners, the backlash creates a strange position. The hype was always annoying. But now the reflexive rejection is too, because it flattens a complicated reality into a bumper sticker.

The honest version is messier: some of this is genuinely useful, the selling has been genuinely dishonest, and sorting out which is which requires more nuance than either camp wants to allow right now.