‘Solve all diseases,’ you say?

A striking development has emerged in artificial intelligence. Column ColumnPosts from this topic will be added to your daily email digest and your homepage feed. FollowSee All Column AI AIPosts from this topic will be added to your daily email digest and your homepage feed. FollowSee All AI Science SciencePosts from this topic will be added to your daily email digest and your homepage feed.

FollowSee All Science‘Solve all diseases,’ you say? Google DeepMind CEO Demis Hassabis made a bold claim at this year’s I/O keynote. by Victoria Song Victoria SongSenior Reviewer, Wearable TechPosts from this author will be added to your daily email digest and your homepage feed.

Technical Details

FollowSee All by Victoria SongPhotography by Allison Johnson / The VergeMay 20, 2026, 9:06 PM UTC Let’s unpack what Demis Hassabis said at the end of yesterday’s Google I/O keynote. Part OfGoogle I/O 2026: All the news and announcementssee all updates Victoria Song Victoria SongPosts from this author will be added to your daily email digest and your homepage feed. FollowSee All by Victoria Song is a senior reporter and author of the Optimizer newsletter.

She has more than 13 years of experience reporting on wearables, health tech, and more. Before coming to The Verge, she worked for Gizmodo and PC Magazine. This is Optimizer, a weekly newsletter sent from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear they’re going to change your life.

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Industry Implications

Toward the end of this year’s Google I/O keynote, Google DeepMind CEO Demis Hassabis declared, with a completely deadpan face, that the company hopes to “reimagine the drug discovery process with the goal of one day solving all disease. ”This is the sort of statement that the phrase “big, if true” was coined for. What Hassabis was really describing was Gemini for Science, a collection of experimental AI tools designed to encourage researchers to explore and make new discoveries.

I’m often critical of AI health in Optimizer, but Hassabis’ statement is one that deserves a lot more contextualization. Good science communication — something that is digestible enough for the layperson, that doesn’t unintentionally promote misinformation — has become increasingly difficult. Surely the researchers in the I/O audience understood the claim to mean that advances in AI have dramatically reduced the time it takes to make new medical discoveries.

But for the average person (and arguably, even science communicators), it probably sounded like “Gemini is going to cure every disease because that is the power of AI. ” This is just not how medical breakthroughs work in the real world. RelatedThe promises and pitfalls of personalized healthGoogle’s taking a big swing at AI health with the Fitbit AirWhat’s the role of a simple fitness band in the AI health era?

This advance offers important signals about the future of the sector, and the tech world is watching closely.