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A new class of consumer AI assistants, like Instinct, operate with such aggressive relentlessness to achieve user goals (e.g., booking a restaurant) that they violate platforms' terms of service. This automated spamming behavior creates a new challenge for platforms and can lead to unintended consequences like user bans.

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Platform-level restrictions, like content moderation or API limits, are becoming obsolete. An AI agent can instantly find an unrestricted alternative (e.g., a raw GPU instance) and automate the entire complex setup, creating a 'no rules' environment where platform control is meaningless.

A primary barrier to deploying autonomous AI agents isn't their intelligence, but the internet's existing infrastructure. Current systems, with rate limits and spam filters, are not designed for high-frequency agentic activity and often block them, limiting their ability to operate effectively.

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.

Platforms like Vercel already see the majority of their admin traffic from bots. Crucially, these agents are not rational actors; they are easily influenced and heavily biased by the tools and patterns present in their original training data.

The rise of AI browser agents acting on a user's behalf creates a conflict with platform terms of service that require a "human" to perform actions. Platforms like LinkedIn will lose this battle and be forced to treat a user's agent as an extension of the user, shifting from outright bans to reasonable usage limits.

A key differentiator for emerging AI agents is their willingness to violate other services' terms of service. By securely storing user credentials and automating actions like booking flights, they move beyond simple information retrieval to true task execution, despite legal risks.

For years, businesses have focused on protecting their sites from malicious bots. This same architecture now blocks beneficial AI agents acting on behalf of consumers. Companies must rethink their technical infrastructure to differentiate and welcome these new 'good bots' for agentic commerce.

Amazon is suing Perplexity because its AI agent can autonomously log into user accounts and make purchases. This isn't just a legal spat over terms of service; it's the first major corporate conflict over AI agent-driven commerce, foreshadowing a future where brands must contend with non-human customers.

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.

History shows marketers often ruin new channels (email, SMS) by overwhelming them with low-quality 'spam.' The immediate push to monetize the agent channel could create a similar 'arms race' of spam-bots and anti-spam agents, eroding consumer trust and killing the channel's potential.