AI assistants create high-intent consumers ready to purchase. However, existing commerce infrastructure is not designed for this new model. Consumers arriving via AI face the same friction-filled checkout as those with no prior intent. This gap between AI recommendation and purchase completion leads to increased cart abandonment. Traditional e-commerce stacks were built for human-initiated journeys, not external AI agent intent. Current systems struggle to verify inventory, apply pricing, and respect brand policies in real-time. The necessary data and backend systems are not easily accessible to AI agents. This results in a broken experience where the AI's promise is not met. Conversion optimization must now address backend infrastructure, not just frontend user experience. Brands investing in AI discovery without modernizing execution widen this gap, costing transactions and trust. Consumers expect seamless transactions immediately after an AI recommendation. Closing this gap requires shifting strategic focus to execution and backend infrastructure.