The man who built Apple’s stores doesn’t buy Silicon Valley’s bet on AI shopping

Ron Johnson’s skepticism about AI shopping agents offers a needed counterpoint to industry hype. His experience building Apple’s retail success, which prioritized human interaction and product experience, shows the limits of automation. While Google pushes its Universal Commerce Protocol and OpenAI turns ChatGPT into a shopping destination, Johnson insists personal connection matters for expensive items. This view is grounded in Apple’s strategy of designing stores for product trials and customer support, not just sales.

For Asia’s tech companies and retailers, Johnson’s perspective suggests a dual strategy. Companies like Alibaba or JD.com, which have invested heavily in AI-driven e-commerce, must consider where human touch points remain critical. The focus should be on how AI informs shoppers before they enter a store, rather than replacing the in-store experience entirely. Retailers in markets like Japan and South Korea, known for high-touch customer service, could find an advantage by integrating AI to enhance, not diminish, human interactions.

The core test for agentic commerce in Asia is whether consumers will truly trust AI with significant purchases. If AI agents fail to drive conversions for high-value goods, investment priorities may shift. Watch for major Asian e-commerce players to report on AI agent conversion rates for items over $500 in the next 12 months. This will show if the market truly accepts AI as a primary purchasing channel.