DoorDash 稱第三方 AI 智能體帶來的訂單僅數百筆

📅 30 October 2026 • techcrunch.com

DoorDash CEO Tony Xu said on the company's Q3 2026 earnings call that DoorDash has seen maybe several hundred orders in total from third-party AI agents such as Muse, Instinct and Fo. For comparison, DoorDash reported 993 million total orders in Q3 2026 alone, roughly 11 million a day.

Xu described agent-based ordering as a very dynamic area and said users still predominantly place orders through the DoorDash app. He said the company wants to learn more about agentic use cases and develop a healthy relationship with third-party agent makers, adding that there could be an opportunity to advertise within those agents in the future. The comment came in response to an analyst question about whether AI agents could take over commerce and disintermediate platforms like DoorDash.

DoorDash is meanwhile building its own agent surface: a text-to-order agent launched in September, a CLI agent introduced in July, the Ask DoorDash chatbot launched in June, and an MCP ordering connector for corporate orders. The wider market is splitting on whether outside agents get access at all. Amazon blocks third-party agents, while Walmart welcomes them as a way to win business from competitors.

IMPACT

For anyone building or integrating commerce agents, the number resets expectations that agentic ordering is already a volume channel. Several hundred orders against roughly 11 million orders a day means the current wave of third-party agents is a rounding error in platform economics, and it helps explain why platforms can afford to experiment rather than defend. It also shows a strategic split in how platforms treat outside agents, which suggests that access rules, rather than agent capability alone, may decide where agents can actually transact. Teams planning agent products should treat platform policy as a primary design constraint, and treat agent-driven order volume as early stage until a platform reports otherwise. The gap between hundreds of orders and millions of daily orders suggests that consumer behavior changes more slowly than the technology, even as the underlying capabilities improve rapidly. For investors and partners, it also signals that the near-term opportunity may be in enabling infrastructure and tools rather than in expecting agents to drive meaningful transaction volume on their own. The result also undercuts the framing that agents will quickly displace apps in consumer food delivery, and it gives platform teams a concrete number to plan against.

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