Meta may never need ads to monetize Muse, instead focusing on building trust in the near term and possibly monetizing it through merchant transaction fees later

Your AI assistant won't show you ads if Meta's strategy succeeds.

Meta may forgo advertising revenue for its new AI agent, Muse, opting instead to build user trust and potentially monetize through merchant transaction fees. This approach contrasts with the traditional advertising models employed by many tech giants. While competitors like DoorDash are integrating AI agents into existing platforms and Airbnb is developing its own AI search, Muse aims to function as a general-purpose agent. DoorDash's AI pilot within iMessage is reportedly seeing mixed results, with some data suggesting higher basket values for chatbot-generated grocery orders, while other reports indicate smaller basket sizes for initial AI agent orders. Airbnb's new AI search allows users to describe desired features via text or voice, dynamically generating filters. Meta's strategy centers on establishing trust, a significant challenge given its history, by promising no ads and a small fee from merchants on transactions, rather than users. This move could set a new industry norm, potentially disadvantaging competitors reliant on advertising revenue. Amazon's decision to block Muse access presents a hurdle, though Meta is reportedly adding other major retailers and has access to Shopify's catalog, betting that sufficient aggregated demand will incentivize holdouts.

Meta's decision to prioritize trust over immediate ad revenue for Muse signals a potential shift in how AI agents will be monetized. By foregoing ads, Meta positions Muse as a neutral advocate for users, a stark contrast to vertical-specific agents from companies like DoorDash and Airbnb, which may have inherent biases. This strategy could fundamentally challenge existing business models that rely on advertising, creating a competitive disadvantage for those unable to subsidize their AI services without ads. The success of this model hinges on Meta's ability to cultivate genuine trust, a significant undertaking, but one that could redefine user expectations for AI interactions.

The market implications are substantial, as Muse's potential success could force competitors to reconsider their own monetization strategies or risk appearing compromised to users. If Meta can establish Muse as a trusted, ad-free general-purpose agent, it could aggregate significant transaction volume, allowing it to capture a "take rate" on commerce. This model would directly compete with platforms that rely on advertising to fund their operations, potentially leading to a two-tiered market for AI agents: one ad-supported and potentially less trusted, and another ad-free and trust-focused. Amazon's resistance highlights the perceived threat to existing ad businesses, but Meta's strategy of aggregating demand may ultimately compel participation.