An ad-based model misaligns an agent, incentivizing it to influence users against their own interests. Instinct is pursuing a "blanket transaction take rate," similar to Apple Pay. The agent remains free for the user, ensuring its actions are solely on their behalf, while merchants pay for the distribution.

Rather than relying entirely on user subscriptions or ad auctions, AI shopping agents like Meta's Muse are poised to capture merchant revenue via payment processing. While standard card rails charge low percentages, agentic checkout channels could demand processing fees of 5% to 7% directly inside apps. This allows agent providers to take a substantial cut from existing merchants by controlling the final conversion channel alongside ad spend.

The idea of independent AI agents autonomously shopping online is failing as platforms block them to protect ad revenue. The sustainable model, already adopted by ChatGPT, involves agents surfacing sponsored product listings for affiliate revenue, not bypassing the platform's core advertising business model.

Many e-commerce platforms derive most of their profit from on-site advertising. AI agents, expected by users to provide unbiased, optimal results, conflict with this "pay-for-placement" model, creating a significant risk to existing revenue streams that fund marketplace operations.

Amazon's decision to block Meta's Muse agent is less about protecting e-commerce transactions and more about safeguarding its lucrative advertising revenue. AI agents bypass the traditional ad-supported discovery process by making direct purchasing decisions, threatening a core pillar of Amazon's business model which relies on monetizing user confusion and vendor advertising fees.

Amazon's blocking of Meta's Muse isn't primarily about security; it's a defensive move to protect its massive advertising revenue. AI agents that purchase directly for users bypass the ad-laden browsing experience, threatening a business that generates more revenue than AI leaders like OpenAI and Anthropic.

Unlike competitors who would struggle to introduce ads into AI chat, Meta's user base is already accustomed to ads in their feeds. This gives Meta a unique advantage to monetize a proactive consumer AI agent that can surface sponsored suggestions for shopping or travel without creating user friction.

While AI shopping agents promise to protect consumer privacy by abstracting away direct retailer relationships, this is a false dawn. Power will likely centralize with the major tech companies providing these agents, not empower individual users with decentralized control. The battle for "owning the customer" simply moves to a new layer.

For an AI chatbot to successfully monetize with ads, it must never integrate paid placements directly into its objective answers. Crossing this 'bright red line' would destroy consumer trust, as users would question whether they are receiving the most relevant information or simply the information from the highest bidder.