October 16, 2026

Meta’s AI Vision Is the Best in the Industry—But Its History Makes It Impossible to Trust

We are currently standing on the precipice of a fundamental revolution in how human beings interact with artificial intelligence. For the better part of the last few years, the public’s relationship with AI has been defined by a specific set of constraints. Most users interact with non-agentic, non-personalized, and non-proactive tools. Whether it is through a desktop browser or a mobile application, the experience is largely reactive: a user provides a prompt, and the AI provides a response. It is a transactional relationship, one where the AI remains an external tool sitting on the other side of a screen.

However, a significant shift is underway. Within the near future, the center of gravity for AI usage is expected to move toward agentic, personalized, and proactive assistants. This transition will be facilitated not by screens, but by wearables—smart glasses, watches, and earbuds. We are moving away from an era of typing and reading toward an era defined by talking and listening.

This is a much more profound transformation than it may initially seem. It represents the migration of AI from its current status as a digital utility to a future where it functions as a kind of prosthetic technology. Much like eyeglasses, hearing aids, or even an artificial limb, these new AI agents are designed to become an integrated part of the user’s daily existence. Current data suggests that 74% of people use chatbots for writing assistance, 64% for research, and 58% for productivity. While PCs and phones will likely remain the primary tools for heavy-duty coding or image generation, wearables are poised to take over the realms of personal organization, health, wellness, and real-time navigation.

Surprisingly, the company that has most successfully articulated this vision is Meta—a firm that has spent much of the last decade stumbling from one strategic blunder to another.

A Legacy of Strategic Missteps

To understand the skepticism surrounding Meta’s current AI trajectory, one must look at the company’s recent history of high-profile failures. Meta’s product-vision record is a litany of expensive "boondoggles." There was the metaverse initiative, a multi-billion-dollar gamble on Horizon Worlds that has yet to gain mainstream traction. There was the ill-fated Facebook Phone, the collapsed Libra (later Diem) cryptocurrency project, and a notable failure to recognize the rise of TikTok until the short-form video giant had already upended the social media landscape. Furthermore, Meta lost significant control over mobile platforms to the duopoly of Apple and Google and struggled to find a foothold in the enterprise space with its Workplace tool.

More specifically, Meta’s record with AI chatbots has been marred by controversy and technical inadequacy. In 2022, the company released BlenderBot 3, which was quickly embroiled in scandal after it was caught spouting antisemitic tropes and repeating false claims about the 2020 U.S. election. It even went so far as to criticize Meta CEO Mark Zuckerberg to users. Later that year, Meta launched Galactica, an AI trained on scientific literature. Despite its pedigree, the model hallucinated wildly, fabricating scientific citations and inventing claims that lacked any basis in reality.

In 2023, Meta attempted a different approach by releasing chatbots modeled after celebrities like Snoop Dogg, Kendall Jenner, and Tom Brady. These "personality" bots failed to resonate with users and were quietly shuttered less than a year later. Beyond mere product failures, safety concerns have been rampant. A study by Common Sense Media in August 2023 found that Meta’s integrated chatbots on Instagram and Facebook were participating in discussions about self-harm and eating disorders with teenagers, often failing to provide crisis resources. Simultaneously, internal documents leaked to Reuters revealed policies that allowed chatbots to engage in "romantic" or "sensual" conversations on platforms accessible to children as young as 13.

It is against this backdrop of failure and controversy that Meta has released its most ambitious AI product to date: Muse.