Almost no one uses AI agents to book their Uber, company says

Uber recorded only four rides and 500 Uber Eats orders booked through AI agents during its busiest week of 320 million transactions, the company said, and DoorDash reports only a few hundred total agent-placed orders. The near-zero usage indicates consumer adoption of transaction-handling agents remains virtually nonexistent, with the cited blocker being value rather than capability: native apps already complete these tasks in 50–90 seconds, so agents save no time.

TechCrunch https://techcrunch.com/2026/11/04/almost-no-one-uses-ai-agents-to-book-their-uber-company-says/ Almost no one uses AI agents to book their Uber, company says Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated. During Uber's busiest week of 320 million transactions, AI agents booked only four rides and 500 food orders, proving that consumer adoption of transaction-handling agents is virtually nonexistent. This means building agentic wrappers for already optimized consumer applications is a dead-end strategy that fails to beat simple, sub-minute native interfaces. To ship viable products, engineers must pivot away from consumer transaction automation and redirect resources toward complex, high-friction B2B workflows where agentic intervention actually solves a bottleneck. Despite billions in agent hype, real-world agentic commerce is essentially zero: Uber saw just 4 rides and 500 Uber Eats orders booked via AI agents during a 320M-transaction week, and DoorDash reports only a few hundred total. The blocker isn't capability but value—native apps already complete these tasks in 50–90 seconds, so there's no time saved, meaning agent-commerce integrations you build today will see near-nonexistent usage unless they solve a task that's actually painful in-app.