In a move that signals the dawn of the "agentic economy," Square has announced a groundbreaking integration that allows consumers to order food directly through OpenAI's ChatGPT and Anthropic's Claude. This development is not merely a technical addition but a structural shift in how hospitality businesses interact with digital technology, removing the need for complex setups or high implementation costs.
The Bridge Between AI and the Real Economy
Until today, Large Language Models (LLMs) operated primarily as information or content creation tools. If someone asked ChatGPT for a good Italian restaurant in their area, the model could suggest options, but the user then had to leave the app, visit a delivery platform, or call the shop. With Square's new functionality, this loop is closed. A user can now say: "Find me a sushi restaurant that has a free table or does delivery and order my favorite roll," and the process is completed within the chat interface.
Square, owned by Block Inc., is leveraging its extensive network of merchants to offer this capability with no additional setup cost for the restaurant. This is crucial for small and medium-sized enterprises (SMEs) that often lag behind in digital transformation due to costs or lack of technical expertise. The integration works via plugins and apps that connect Square's Point of Sale (POS) directly to the AI models' APIs.
A Threat to Traditional Delivery Platforms
This move constitutes a direct challenge to dominant players like UberEats, DoorDash, and Deliveroo. These platforms charge high commissions, often reaching 30%, which puts immense pressure on restaurant profit margins. Square is promoting a solution with "low fees," focusing on payment processing rather than imposing a "tax" on customer discovery.
"It's not just about the convenience of ordering; it's about who owns the customer relationship. When discovery happens via AI, traditional search on Google or Yelp begins to fade," market analysts suggest.
Furthermore, Square allows restaurants to retain their customer data, something that remains frequently "locked" by the platforms themselves in the case of major delivery apps. This enables more personalized marketing and loyalty programs that run automatically through AI.
Security and Trust Challenges
Despite the excitement, there are serious questions regarding transaction security and the reliability of AI agents. What happens if ChatGPT misinterprets an order or if a user claims they never made the purchase? Square maintains that it has integrated robust security safeguards and verification protocols, but the real test will come in daily use by millions of users.
Another issue is the "illusion of choice." As AI models recommend restaurants, there is a risk of favoring those integrated into the Square ecosystem, creating a new type of algorithmic bias. Transparency in how models select and recommend businesses will be key to maintaining consumer trust.
The Future of "Invisible" Commerce
This integration is just the tip of the iceberg. Soon, AI agents will not only order food but will manage reservations, negotiate discounts, and compare prices in real-time. For the restaurant owner, the POS transforms from a simple cash register into an intelligent hub that accepts commands from the digital world without human intervention.
In a global market where the hospitality sector is a primary economic pillar, such technologies could provide a significant escape route from the high costs of middlemen, provided that entrepreneurs are ready to embrace change and adapt their operations to manage these new order flows.
