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.

Suddenly, Muse

Released on September 8, 2026, Muse has defied the company’s recent history by garnering positive reviews and surging to the top of both Apple’s and Google’s app stores. Meta is marketing Muse as the world’s first personal AI agent built for a general audience. Unlike its predecessors, Muse is being treated by industry analysts as an "actual hit," representing a preview of the coming "agent wars."

Currently powered by the Muse Spark 1.3 model, the agent is available on iOS, Android, the web, and through WhatsApp. For the time being, it is restricted to adults in the United States. Meta has structured Muse with three pricing tiers: a free version with a cap of 100 million tokens per week, a "Power" tier at $20 per month for 500 million tokens, and a "Maximum" tier at $100 per month for 3 billion tokens. Notably, the app is currently ad-free, a departure from Meta’s traditional monetization model.

The defining characteristic of Muse is its proactivity. While most chatbots wait for a command, Muse is designed to bring things up "out of the blue." It monitors information and offers suggestions without being prompted. While competitors like Google’s Gemini Spark and Amazon’s Alexa+ have dabbled in proactivity, Muse appears to be more deeply integrated into a user’s digital life.

With user permission, Muse connects to a variety of applications to perform tasks that were previously the sole domain of human assistants. It can read and send emails, book travel arrangements, negotiate lower utility bills, fill out complex forms, and even turn saved recipes into grocery lists. To handle these sensitive tasks, Muse operates within a dedicated cloud virtual machine known as the Muse Secure VM, which includes its own sandboxed browser.

The agent’s capabilities extend into the physical world as well. Muse can make phone calls on behalf of the user, connecting them once a human representative is on the line. It can monitor price drops for hotels and flights and automatically opt users out of unwanted subscriptions. While the platform has shown impressive utility, it is not without flaws. Leaked internal posts suggest that some of the "automated" phone calls are actually being handled by human contractors, and the AI has been caught recommending restaurants that have been closed for years.

The Attachment Economy and the Jolly Avatar

Meta’s strategy with Muse also signals a shift in the company’s business philosophy. For years, Meta’s success was built on the "attention economy," where advertising revenue was driven by maximizing user time on-site through algorithmically amplified outrage, sensationalism, and extremism.

With Muse, Meta is moving into the "attachment economy." This model seeks to secure user loyalty by fostering an emotional bond between the human and the AI. Central to this strategy is Muse’s avatar, a cute, cartoonish character named Jolly. When Muse is performing agentic tasks, Jolly appears on-screen, often depicted typing on a miniature laptop. While the character seems oddly childish for an adults-only product, its purpose is clear: to make the AI feel like a friend rather than a tool.

The attachment economy relies on users "liking" or even "needing" the fake personalities expressed through the AI. To further this connection, Meta has even introduced the Muse Charm—a pocket-watch-shaped device worn on a lanyard where Jolly lives, reminiscent of a high-tech Tamagotchi. While the hardware has been criticized as awkward, it underscores Meta’s desire to move the AI out of the phone and into the user’s physical space.

The Future of Hardware

The true potential of Muse was unveiled at the Connect 2026 conference, where Meta announced that the AI agent would be integrated into its Meta Ray-Ban smart glasses. This move is intended to leverage the glasses’ cameras and microphones to provide the AI with a real-time video feed of the user’s life, allowing it to offer context-aware assistance.

However, recognizing the public’s growing discomfort with "pervert glasses"—the derogatory term for camera-equipped eyewear that has sparked privacy concerns—Meta also unveiled the Ray-Ban Meta Audio glasses. This model retains the high-quality speakers, microphones, and touch controls of the original but omits the camera entirely.

This combination of comfortable, socially acceptable hardware and a powerful, proactive AI agent represents the "killer app" for the next generation of technology. It is a vision of AI that is hands-free, always-on, and genuinely helpful.

The Glaring Problem of Trust

Despite the technical achievement and the clarity of Meta’s vision, there remains one insurmountable obstacle: Meta has not earned the trust required to operate a product this intimate.

The company’s history is a map of ethical lapses. From the Cambridge Analytica scandal, where the data of 87 million users was harvested without consent, to internal research showing that Instagram had a toxic effect on the mental health of teenage girls, Meta has consistently prioritized growth over user safety. The company has been accused of allowing its platforms to be used for the radicalization of users and has repeatedly misled both regulators and the public regarding its privacy practices.

To use Muse as intended, a user must grant Meta access to their email inboxes, their calendars, and even their bank accounts. Given the company’s track record, handing over the "keys to the kingdom" is a risk that many may find unacceptable. The Jolly avatar, while seemingly harmless, acts as a digital front for a corporation that has historically viewed user data as a commodity to be exploited.

Meta has successfully identified the winning strategy for the future of AI. It has built the right features and the right hardware to lead the next technological epoch. However, as long as the company’s legacy of privacy violations and ethical failures looms over its products, even the most visionary AI may struggle to find a home in the lives of cautious consumers. Meta has the vision, but it still lacks the character to match it.