Ordering takeout is getting a lot more textable. DoorDash introduced an AI helper that lives inside Apple's Messages app, with a US waitlist now open. Type something like "order my usual protein bowl to the office" and it can place the order and handle checkout using your saved payment method - no app opening required.
The system links a phone number to a DoorDash profile, so it can factor in previous orders and stated preferences. It is built on the same tech powering DoorDash's in-app chatbot that debuted in June. At a demo in San Francisco, DoorDash showed the Messages bot sending back food photos pulled from a restaurant's store page without launching the app, and it accepted photo uploads from users.
The texting agent does more than take orders. It can suggest recipes based on what you have in the fridge and recommend grocery restocks for what you are missing. Because the bot matches your number with your account, it can personalize suggestions using your history.
Early versions are not perfect. Bloomberg News found issues during testing, like prices that did not match what appears in the app and mismatched photos on recommendations. DoorDash said people joining the waitlist will get a newer build.
Rivals are also experimenting. Uber and Instacart created integrations that work with services including OpenAI's ChatGPT and Google's Gemini, though the level of integration differs. Some on Wall Street worry that agentic tools could siphon traffic away from established platforms, with Bloomberg Intelligence flagging Instinct and Meta's Muse as examples that may shift "traffic and customer ownership away from established platforms."
DoorDash also unveiled a tool that lets enterprise AI assistants place group orders without touching the app. Picture a Slack bot collecting everyone's lunch picks, then submitting one order automatically. SpaceXAI, Cognition AI Inc. and Mercor are already using it internally, and companies can join a waitlist starting Wednesday.
"We believe agents are a new app paradigm and are building for that future," co-founder Andy Fang said at DoorDash's San Francisco HQ. "We're already seeing people ordering more frequently." In a separate interview, he said the company is talking with Meta about an official connection to Muse. DoorDash Chief Executive Officer Tony Xu sits on Meta's board.
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Fang called the agent trend a "huge tailwind" and said DoorDash's edge is "real-world operations." He listed the must-haves for agents to work well: up-to-the-minute data on a retailer's inventory, current restaurant discounts, nearby delivery worker availability and the know-how to move an order quickly.
DoorDash said trials of its proprietary drones will begin soon in Northern California, partnering with restaurants such as Chipotle Mexican Grill Inc. and Popeyes Louisiana Kitchen Inc. In July, the company secured authorization from the Federal Aviation Administration to run commercial drone operations. In preliminary testing, DoorDash said the average delivery time by drone was under five minutes.
According to the company, flight selection will factor in conditions such as the weather, operational range, and congestion on the ground. Its estimate is that 80% of the usual restaurant orders meet the size and weight limits for safe carriage by its aircraft.
Co-founder Stanley Tang, who leads robotics at DoorDash Labs, said drones will bolster the more-than-20-percent order growth the company has experienced spanning restaurant takeout, grocery, and retail deliveries. "As we add more and more categories, the consumer demand for delivery is just going to keep growing," he said. "So it's about adding more capacity to the fleet so we can meet that demand."
Drones are joining a small lineup of autonomous options meant to complement DoorDash's gig worker network. The roster includes an in-house four-wheeled delivery robot unveiled last year, plus sidewalk robots and drones from partners like Alphabet Inc.'s Wing, Flytrex, Serve Robotics Inc. and Coco Robotics.
DoorDash - the leading food delivery app in the US - is pushing into agent-led ordering, corporate integrations and automation to tie together personalization, real-time inventory signals and faster handoffs. If this shift pulls more orders into lightweight chat experiences and expands delivery capacity, it could reinforce the company's core marketplace without relying solely on the app. For customers, it simply means ordering in more places, with fewer taps. For investors, it is worth watching whether these moves translate into sustained order growth and whether agents change where the ad dollars flow.
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