Hype Correction – MIT Technology Review
AI is going to reproduce human intelligence. AI will eliminate disease. AI is the single biggest, most important invention in human history. You’ve likely heard it all—but probably none of these things are true.
AI is changing our world, but we don’t yet know the real winners, or how this will all shake out.
After a few years of out-of-control hype, people are now starting to re-calibrate what AI is, what it can do, and how we should think about its ultimate impact.
When the wow factor is gone, what’s left? How will we view this technology a year or five from now? Will we think it was worth the colossal costs, both financial and environmental?
Here, at the end of 2025, we’re starting the post-hype phase. This package of stories is a way to reset expectations—a critical look at where we are, what AI makes possible, and where we go next.
Let’s take stock.
Four ways to think about this year's reckoning.
Everyone in tech agrees we’re in a bubble. They just can’t agree on what it looks like — or what happens when it pops.
Here’s how pinning a utopian vision for AI on LLMs kicked off the hype cycle that’s causing fears of a bubble today.
But they certainly wish people were still taking their warnings really seriously.
Developers are navigating confusing gaps between expectation and reality. So are the rest of us.
Startups flush with cash are building AI-assisted laboratories to find materials far faster and more cheaply, but are still waiting for their ChatGPT moment.
Generative AI might have aced the bar exam, but an LLM still can’t think like a lawyer.
It's a seductive distraction from the advances in AI that are most likely to improve or even save your life
© 2025 MIT Technology Review
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