BusinessThursday, October 22, 2026· 2 min read

Meta Muse Tops 10M Users as AI Shopping and Productivity Gain Momentum

Source: TechCrunch AI

TL;DR

Meta says its AI app Muse has surpassed 10 million users, with shopping and personal productivity emerging as leading use cases. The milestone points to growing mainstream demand for practical AI tools that help people discover products, plan tasks, and get things done faster.

Key Takeaways

  • 1Meta Muse has reached more than 10 million users, according to the company’s Q3 earnings update.
  • 2Shopping is one of the app’s top activities, suggesting strong consumer interest in AI-assisted discovery and decision-making.
  • 3Personal productivity is also a major use case, showing that users are turning to AI for everyday support.
  • 4The milestone highlights continued adoption of consumer AI products beyond chat and entertainment.

Meta Muse Shows Real Consumer AI Adoption

Meta says its AI app Muse now has more than 10 million users, a notable milestone for a consumer AI product. The company shared the update during its Q3 earnings, pointing to growing traction for AI experiences built into everyday digital life.

One of the standout trends is shopping. Users are adopting Muse to help with product discovery and purchase-related decisions, signaling that AI assistants may become a more natural part of how people browse, compare, and find what they need online.

Meta also said personal productivity is a major activity within the app. That suggests Muse is not just being used for curiosity or novelty, but for practical tasks that can save time and support daily organization.

  • Scale: More than 10 million users are already trying Muse.
  • Utility: Shopping and productivity are tangible, everyday use cases.
  • Momentum: The milestone adds to evidence that consumer AI adoption is moving into the mainstream.

While Meta has not shared many additional details, the user growth is a positive sign for AI’s expanding role in commerce and personal assistance. Muse’s early traction shows how AI tools can become useful companions for both decision-making and day-to-day productivity.

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