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.

The true value of AI in commerce isn't in automating the final click to buy, as checkout is largely a solved problem. The significant user need is leveraging AI for deep research on high-consideration purchases. Facilitating the transaction is less valuable than providing trustworthy, comprehensive information.

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.

The conversational queries powering agentic commerce are more expensive than traditional keyword searches. For this technology to be profitable for retailers, it must generate new sales that wouldn't have otherwise happened, rather than simply cannibalizing existing purchase channels.

Unlike transactional search engine queries, user interactions with AI tools are typically top-of-funnel and exploratory. Monetization strategies must acknowledge this by guiding users from curiosity to purchase, rather than expecting direct conversions as seen in traditional search advertising.

AI agents will optimize commodity purchases for convenience and price, making it harder to change consumer habits. The only way to break through is with a brand so compelling it prompts a user to manually override their agent's automated standing orders.

AI shopping agents are not limited by human memory or marketing exposure. They can analyze millions of brands, including niche ones a consumer has never heard of, to recommend the best product. This disrupts traditional marketing funnels and creates new opportunities for undiscovered brands.

Unlike traditional search that rewards popular items, AI shopping agents excel at finding hyper-specific products that meet precise user needs. This dynamic is a boon for long-tail merchants, demonstrated by 75% of Shopify's AI-attributed orders coming from categories outside the top 100.

The future of e-commerce involves consumers delegating purchasing decisions to personal AI agents. These agents will know user preferences and make autonomous purchases. Brands must shift their strategy from optimizing websites for humans to influencing these AI agents, which will act as the new gatekeepers to the customer.