Google pulls AI search feature that surfaced medical advice from random users

Google has removed the What People Suggest feature from Search, which showed users medical advice from people around the world. The decision looks like a rollback amid mounting pressure on the company over how AI should handle health topics.

What exactly was removed

What People Suggest was a new Search feature. It surfaced health advice gathered not from doctors or clinics, but from ordinary users. In effect, Google tried to build a "other people's experience" format into Search and present it as one more useful layer on top of traditional results. For everyday topics, that approach is still open to debate, but in medicine the cost of a mistake is entirely different.

The company previously described the launch as an example of how AI can improve access to health knowledge on a global scale.

"This shows the potential of AI to transform health outcomes around the world."

The problem is that in medicine there is a huge distance between "useful experience from other people" and "advice you can trust." When a user looks up symptoms, treatment or self-diagnosis, they need not just a quick answer but one with a clear level of reliability.

Why questions arose

Personal experience is not useless in itself. People often look for exactly that: how someone tolerated treatment, what helped with side effects, what questions to ask a doctor. But when such answers are embedded directly in a major platform's search, they start to look more weighty than they really are. In Google's interface, a stranger's private opinion is easily taken for something close to a vetted recommendation.

The weak points of this approach are obvious:

• advice may rest only on a personal story, not on clinical data
• another user may have a different diagnosis, age, medications or contraindications
• AI makes scattered opinions look more cohesive and authoritative
• a global selection of advice does not account for local medical standards and the availability of treatment
• even without an outright error, such an answer can nudge people toward dangerous self-diagnosis

That is why anything related to health remains one of the most sensitive areas for AI companies. It is not enough to simply "collect useful material from the internet" or neatly retell user experience. Transparent boundaries are needed: where a recommendation came from, who gave it, how verifiable it is, and where informing ends and potentially risky medical advice begins.

Why this matters for Google

The withdrawal comes amid growing scrutiny of how Google uses AI for health tips. The move itself shows that even the largest platforms have not yet found a safe product formula for such scenarios.

In ordinary search, a mistake is annoying. In medical results, it can cost a user time, money and, in the worst case, health.

For Google it is also a question of trust in Search itself as a basic service. For many years the company trained its audience to see search as the entry point to the most important information. When an AI layer with advice from random people appears inside that experience, the line between reference data, community opinion and near-medical recommendation starts to blur. If that line cannot be explained in a few seconds, the product becomes too risky for a mass audience.

What it means

The What People Suggest episode shows a simple limit for AI search: the more sensitive the topic, the less the market is willing to tolerate an experimental approach. In news, shopping or travel, a mistake is irritating, but in health it quickly becomes a reputational and ethical risk.

For the whole industry, this is a signal: AI can help people find medical information, but it is too early for it to replace verified expertise with the advice of the crowd.