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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.

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AI agents shop based on optimized specs, not human heuristics like brand trust. This shift to "agentic commerce" could neutralize the power of major brands like Walmart and Amazon, and eliminate the interpersonal relationships that sustain local, small businesses.

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.

Businesses with moats based on network effects or consumer friction are vulnerable to "agentic commerce." AI agents, tasked with finding the absolute best price without experiencing the tedium of comparison shopping, will bypass brand loyalty and platform stickiness. This threatens any business model that relies on being the default or convenient choice.

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.

In AI-driven commerce, brands win by being selected by an agent, not by ranking on a search page. This shift favors brands with trustworthy, structured, and verifiable data over those with the largest advertising budgets, leveling the playing field for smaller, agile companies.

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.

The early dream of AI agents autonomously browsing e-commerce sites is being abandoned. The reality is that websites are built for human interaction, with bot detection, fraud prevention, and pop-ups that stymie AI agents. This technical friction is causing a major strategic pivot in AI commerce.

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.