Square announced on July 1, 2026 that it is launching ChatGPT and Claude integrations letting consumers discover restaurants and place food orders without leaving the AI chat interface. When a user asks ChatGPT or Claude something like 'find me a coffee shop nearby with a great pour-over and order a bag of their house roast,' the assistant parses real-time menu, hours and pricing data Square provides, lets the customer make selections, and completes checkout via Order by Cash App — with the transaction landing instantly on the restaurant's existing Square Point of Sale and Kitchen Display System just like any in-store or website order.
The standout detail is the pricing: eligible sellers are opted in automatically, with no new APIs to build, no new contracts, and critically, no additional marketplace fees layered on top of Square's standard online-ordering rate (roughly 2.9-3.3% plus $0.30 per transaction for Plus and Premium plan merchants). That is a deliberate contrast to how new distribution channels have historically been monetized in food delivery, where DoorDash, Uber Eats and Grubhub commonly charge 15-30% commissions.
“It also gives both labs a tangible transaction-completion use case to point to as agentic AI moves from information retrieval toward real purchasing actions.”
The strategic logic is straightforward: Square wants to be the default backend that makes AI-agent commerce actually work for small and mid-size restaurants, rather than let a marketplace intermediary insert itself between merchants and AI-driven discovery. Toast, Clover and Lightspeed all serve similar restaurant POS markets and will face pressure to ship comparable integrations quickly or risk losing merchants to Square's zero-friction offer.
For OpenAI and Anthropic, this is a rare example of agentic commerce moving from demo to default merchant behavior at meaningful scale — Square's F&B seller base numbers in the hundreds of thousands. It also gives both labs a tangible transaction-completion use case to point to as agentic AI moves from information retrieval toward real purchasing actions.
What to watch: whether Square extends the integration beyond food and beverage into retail and services, how DoorDash and Uber Eats respond given their commission-based models are directly threatened by a zero-fee alternative, and whether transaction volume through AI assistants becomes large enough for Square to disclose as a standalone metric in future earnings.