The Download: The worst technology of 2025, and Sam Altman’s AI hype

Welcome to our annual list of the worst, least successful, and simply dumbest technologies of the year.

We like to think there’s a lesson in every technological misadventure. But when technology becomes dependent on power, sometimes the takeaway is simpler: it would have been better to stay away.

Regrets—2025 had a few. Here are some of the more notable ones.

—Antonio Regalado

A brief history of Sam Altman’s hype

Each time you’ve heard a borderline outlandish idea of what AI will be capable of, it often turns out that Sam Altman was, if not the first to articulate it, at least the most persuasive and influential voice behind it.

For more than a decade he has been known in Silicon Valley as a world-class fundraiser and persuader. Throughout, Altman’s words have set the agenda. What he says about AI is rarely provable when he says it, but it persuades us of one thing: This road we’re on with AI can go somewhere either great or terrifying, and OpenAI will need epic sums to steer it toward the right destination. In this sense, he is the ultimate hype man.

To understand how his voice has shaped our understanding of what AI can do, we read almost everything he’s ever said about the technology. His own words trace how we arrived here. Read the full story.

—James O’Donnell

This story is part of our new Hype Correction package, a collection of stories designed to help you reset your expectations about what AI makes possible—and what it doesn’t. Check out the rest of the package here.

Can AI really help us discover new materials?

One of my favorite stories in the Hype Correction package comes from my colleague David Rotman, who took a hard look at AI for materials research. AI could transform the process of discovering new materials—innovation that could be especially useful in the world of climate tech, which needs new batteries, semiconductors, magnets, and more.

But the field still needs to prove it can make materials that are actually novel and useful. Can AI really supercharge materials research? And what would that look like? Read the full story.