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.

AI-driven e-commerce will progress in stages. It will start with human-prompted purchases, then move to agents proactively suggesting items, and ultimately culminate in autonomous agent-to-agent transactions based on predefined budgets and inferred needs, requiring no human intervention.

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.

To earn significant revenue, AI shopping agents can't just be order-takers for pre-existing purchase intent. Brands won't pay large referral fees for demand they already created elsewhere. Agents must prove they can generate *new* demand by suggesting products users weren't already planning to buy.

Instinct's founder aims to make the assistant free, monetizing by taking a percentage of all transactions it facilitates (e.g., travel bookings, product purchases). This model aligns value capture directly with the commercial actions users take, potentially proving more scalable than traditional SaaS fees.

The future of AI in e-commerce isn't just better search results like Amazon's Rufus. The shift will be towards proactive, conversational agents that handle the entire purchasing process for routine items, mirroring the "one-click" convenience of the original Amazon Dash button but with greater intelligence.

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.