Meta's Real Muse Opportunity Lies Beyond Direct Revenue Generation
Deutsche Bank projects Meta's Muse AI agent could generate up to 8% of revenue by 2030, but analysts argue the true value lies in data collection for ad targeting improvements rather than direct fees from the service. With advertising representing 98% of Meta's $201 billion in 2025 revenue, enhanced targeting could boost pricing far beyond what Muse generates independently. Meta's capital spending doubled to $69.7 billion in 2025 as the company remains uncertain how to monetize Muse directly, but improved advertising performance across Facebook and Instagram could drive substantially higher returns.
Meta's investment in artificial intelligence infrastructure has grown exponentially, with capital spending reaching $69.7 billion in 2025—nearly quadrupling since 2021. This massive commitment reflects the company's pivot toward AI-driven products like Muse, though the path to profitability remains unclear. While direct subscription fees from Muse users represent one potential revenue stream, the real financial upside may emerge through indirect channels that strengthen Meta's dominant advertising business.
The company's advertising revenue, which comprised 98% of its $201 billion total in 2025, could receive substantial boosts from behavioral data collected through Muse interactions. By understanding user intent during moments like travel planning or shopping decisions, Meta could command higher prices from advertisers seeking precision targeting. Analysts suggest this enhancement to existing ad platforms could generate far greater returns than any direct fees Muse charges consumers.
Meta's shift toward AI-powered personal assistants could reshape digital advertising practices by enabling more granular consumer behavior tracking. Users may experience more precisely targeted ads, potentially raising privacy concerns about data collection scope and consent. Advertisers could gain unprecedented insight into consumer decision-making moments, while competing platforms may face pressure to develop similar capabilities. The outcome depends partly on regulatory responses to data practices and whether users find value sufficient to justify increased monitoring of their activities.