Meta is making a major push into consumer-focused artificial intelligence with its new AI agent Muse, putting the technology at the centre of its annual Connect event.
CEO Mark Zuckerberg signalled that Meta plans to integrate AI features across its products as the company seeks to expand its presence in the rapidly evolving consumer AI market.
The strategy contrasts with the growing focus on enterprise applications from major AI companies such as OpenAI and Anthropic, according to a discussion on TechCrunch’s Equity podcast.
Meta takes a different AI approach
On the podcast, TechCrunch reporters Kirsten Korosec, Sean O’Kane and Anthony Ha discussed Meta’s AI announcements and the company’s decision to focus heavily on consumer applications.
Ha said the strategy stood out at a time when other major AI companies are increasingly looking towards enterprise customers and coding tools.
He suggested Meta may see an opportunity to build a more consumer-friendly AI ecosystem while competitors concentrate on businesses.
“If that’s where OpenAI and Anthropic are going, then maybe there is more of an opportunity for Meta to make the more consumer-friendly version,” Ha said.
Meta’s Muse strategy also includes a Tamagotchi-style AI device that the company says is intended for adults, despite its playful appearance.
Questions over long-term appeal
O’Kane, who tested Muse himself, said the agent had successfully helped him find money he was unaware he was owed.
However, he described the experience as more of a “party-trick type thing” than a feature likely to drive sustained usage.
That raises a broader question for Meta: whether consumers will find enough everyday value in Muse to make it a regular part of their lives.
Can users trust Meta with personal data?
Trust could prove another challenge.
Personal AI agents can potentially handle highly sensitive information, including details about users’ finances, communications, preferences and daily activities.
O’Kane questioned whether consumers would be comfortable giving that level of access to Meta, whose core business has historically been built around digital advertising.
“Meta’s business is to sell you ads,” O’Kane said during the discussion.
He argued that the more personal information an AI system has access to, the greater the questions surrounding how that information could be used.
Meta’s consumer AI strategy therefore faces two related challenges: demonstrating that Muse provides enough practical value to encourage regular use, while convincing users that they can trust the platform with increasingly personal information.
Whether the company can overcome those concerns could determine how deeply Muse becomes embedded in consumers’ everyday digital lives.
