Meta's AI Muse Works Well—But It Creeps Me Out

Muse rattled off very specific interests linked to my Instagram account.

By Emma Roth

Meta's AI assistant, Muse, is undeniably impressive. It's smart, responsive, and deeply integrated into the company's ecosystem. But after using it, I can't shake one unsettling feeling: it knows me a little too well.

A Little Too Personal

During my first interaction with Muse, it didn't just offer generic suggestions—it recited a startlingly accurate list of my personal interests. These weren't vague guesses; they were highly specific, drawn directly from my Instagram activity. It referenced hobbies, brands, and topics I'd engaged with, some of which I barely remembered interacting with.

At first, it felt like magic. Then it felt like surveillance.

The experience highlighted a growing tension in 2026: as AI assistants become more personalized, they also become more invasive. Meta's Muse isn't just responding to my queries—it's anticipating them based on years of data I've unknowingly fed into Meta's platforms.

The Privacy Trade-Off

Meta has long been criticized for its data collection practices. With Muse, the company is leveraging that data in ways that feel less like a feature and more like a violation of personal space. Sure, the AI's recommendations were spot-on. But the uncanny accuracy made me wonder: what else does it know? And who else can access it?

In 2026, users are more aware of data privacy than ever. Regulations like the EU's AI Act and various U.S. state laws have forced tech companies to be more transparent. Yet, the line between helpful personalization and creepy overreach remains blurry.

Where's the Line?

Meta isn't alone in this. Google, Apple, and Amazon have all rolled out AI assistants that tap into user data. But Meta's unique position—with access to social graphs, photos, and years of behavioral data—makes Muse particularly potent. It's not just an assistant; it's a mirror reflecting a digital version of you that you never explicitly created.

For now, Muse works. It's efficient, intuitive, and deeply integrated. But as AI continues to evolve, we need to ask ourselves: how much of our privacy are we willing to trade for convenience? And at what point does personalization become something more sinister?

This article reflects the author's personal experience and does not necessarily represent the views of The Verge.

via The Verge AI