Tech analyst Philipp Klöckner has a bracing dose of reality for founders betting big on agentic AI to revolutionize consumer shopping. Forget your visions of a seamless, AI-powered consumer experience for now. Klöckner argues that while agentic commerce will eventually be a force, its B2C adoption will be far slower than anticipated, mirroring the gradual shift to mobile over years, not months.

Key Takeaways

  • Agentic commerce, where AI agents act on your behalf, will adopt far slower in B2C than expected, resembling the gradual mobile shift rather than an overnight revolution.
  • Human shopping psychology, particularly the desire for "window shopping" and comparing options, is fundamentally unmet by current chat interfaces, a lesson learned from Alexa's struggles.
  • Initial B2C agent wins will be in automating "pesky" tasks, like filing consumer claims for delayed train travel or booking appointments for restaurants and dentists.
  • B2B adoption will be significantly faster, especially in areas like tactical spend and complex procurement processes, driven by businesses' higher technology adoption rates and clear efficiency gains from automation.

Why Human Habits Trump AI Convenience (For Now)

Klöckner cuts straight to the core of why consumer-facing agentic AI faces an uphill battle: human nature. We don't just want an efficient transaction; we crave the experience of shopping. “People just don't want to shop that way,” Klöckner asserts. “If they want to shop that way, then our high street areas in our cities would have bells and not windows. People want window shopping.”

Think about it: when was the last time you truly enjoyed trying to compare five different blenders using only voice commands via Alexa? The interface often dictated what you could (or couldn't) easily achieve, leaving you frustrated rather than delighted. Current chat-based AI agents, Klöckner suggests, repeat this mistake. They abstract away the tactile, visual, and comparative elements that make shopping enjoyable, turning it into a purely functional exchange. This friction means that unless an AI agent can deliver an experience that genuinely surpasses human desire for exploration, it will struggle to break through.

The 'Pesky Task' Opportunity in B2C

While the grand vision of AI agents doing all our shopping remains distant for consumers, Klöckner sees immediate, practical applications in a specific niche: "pesky" tasks. These are the chores we hate doing, the administrative headaches that steal our time and energy. He points to situations like dealing with bureaucracy after a train delay. "I think the really pesky stuff like consumer claims," Klöckner suggests. "Imagine your train is delayed. You have a claim against the Deutschan. I don't want to do that myself. I want an agent who just automatically checks every plane and train travel that I have and get my claims automatically."

This also extends to mundane appointment booking. Think about securing a coveted table at your favorite Italian restaurant, or scheduling that long-overdue dentist visit. “Booking a treatment with a massage parlor, hairdresser, stuff like that, a dentist, doctors, that makes a lot of sense to do that in an agentic way,” Klöckner notes. These are tasks where convenience outweighs the desire for 'window shopping,' making them prime targets for early agentic AI wins.

B2B: The Real Fast Lane for Agentic AI

If you're building an agentic AI startup, Klöckner's message is clear: pivot to B2B. Businesses, he argues, are inherently faster adopters of new technologies than consumers. They prioritize efficiency, cost savings, and process improvement over the emotional pull of a shopping experience. “Generally businesses are faster in adopting new technologies,” Klöckner explains. “You can see that with AI consumer adoption is much lower compared to business adoption right now.”

This means that complex, human-intensive tasks within organizations are ripe for agentic disruption. Tactical spend, procurement processes, managing inventory, or even handling basic customer support queries that follow a strict protocol – these are areas where AI agents can deliver immediate, measurable value. The efficiency gains from automating these workflows are a powerful incentive for businesses to integrate agentic AI quickly and deeply.

What to Do With This

Stop chasing the consumer shopping bot dream for now. Instead, for your next AI agent project, identify either a "pesky" consumer administrative task where the convenience significantly outweighs the need for human interaction (e.g., claims, standardized bookings) or, even better, target a specific, complex B2B procurement or tactical spend process. Build there for tangible value and faster adoption.