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The conflict between Amazon and Muse validates the theory that independent agents won't succeed by executing direct commerce. Platforms are successfully forcing agents into an affiliate or advertising model, where the platform retains control and monetization, rather than allowing agents to become a new transactional layer.

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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.

AI shopping agents will disrupt e-commerce models that rely on human browsing for data collection, recommendations, and upsells. When agents perform these tasks programmatically, sellers lose this crucial interaction and must pivot to building agent-friendly interfaces and incentives, effectively selling to an algorithm.

Amazon's lawsuit against Perplexity's shopping agents is more than a web-scraping dispute; it's a strategic move to control how users access its marketplace. A win for Amazon could set a legal precedent allowing platforms to block third-party agents and force customers into proprietary AI ecosystems, stifling competition in agentic commerce.

As AI agents shift e-commerce from high-margin cost-per-click models to lower-margin commissions, search platforms will likely retaliate. They will make free, direct, and unpaid traffic more difficult to acquire, forcing a higher volume of transactions into their paid ecosystem to compensate for the lower per-transaction revenue.

Amazon's potential commerce partnership with OpenAI is fraught with risk. Allowing ChatGPT to become the starting point for product searches threatens Amazon's highly profitable on-site advertising revenue, even if Amazon gains referral traffic. It's a classic battle to avoid being aggregated by another platform.

Amazon's primary motivation for banning Meta's Muse AI agent is to defend its massive advertising revenue. AI agents that shop on a user's behalf bypass Amazon's lucrative ad-supported search and discovery funnel, posing a direct threat to a business larger than OpenAI and Anthropic's revenues combined.

Unlike service platforms like Uber that rely on real-world networks, Amazon's high-margin ad business is existentially threatened by AI agents that bypass sponsored listings. This vulnerability explains its uniquely aggressive legal stance against Perplexity, as it stands to lose a massive, growing revenue stream if users stop interacting directly with its site.

The primary financial risk of agentic commerce to e-commerce companies is not the transaction fee but the potential loss of high-margin retail media advertising revenue. Since many retailers derive most or all of their profit from on-site ads, agents threaten their core business model.

While a commerce partnership with OpenAI seems logical, Amazon is hesitant. They recognize that if consumers start product searches on ChatGPT, it could disintermediate Amazon's on-site search, cannibalizing their high-margin advertising revenue and ceding aggregator power.

Google's ad model thrives because advertisers systematically overpay, overvaluing their ability to retain customers. AI agents will eliminate this inefficiency by finding the best outcome for the user directly, shifting the business model to one based on affiliate fees for completed transactions.

The 'Agent of Commerce is a Mirage' Theory Is Playing Out as Platforms Push Agents Toward Ad Models | RiffOn