Uber Eats is building an AI chatbot to order for you

Staring at a delivery app for twenty minutes just to order the same pad thai is a universal modern pain. Uber Eats wants an AI agent to end that decision paralysis.

According to a report from Bloomberg, developer Steve Moser uncovered hidden code inside the Uber Eats app revealing that Uber is actively building an AI-powered chatbot. The tool is designed to serve up food recommendations and help users speed through checkout.

Dialing in your budget and cravings

Based on what was found in the codebase, the chatbot takes a very practical approach to finding dinner.

It prompts users about their current budget and dietary preferences. Once it knows how much you want to spend and what you are craving, it surfaces matching meals and helps you finalize the order right then and there.

This lines up with recent comments from Uber CEO Dara Khosrowshahi, who told Bloomberg Television that the company was developing an AI assistant, though he held back details at the time. Khosrowshahi noted that while Uber has long used machine learning behind the scenes to route drivers and dispatch couriers, this brings the tech directly to the customer interface.

Uber has not commented on the leak, and there is no confirmed public launch date yet.

The delivery giants are going all-in on AI agents

Uber is far from alone in trying to turn food ordering into a conversational experience.

Earlier today, rival DoorDash announced its own AI-powered voice ordering technology, built to help restaurants automatically answer every incoming phone call so they do not miss out on takeout sales. DoorDash also confirmed that it is developing an AI ordering bot of its own to help eaters discover dishes faster.

Meanwhile, grocery giant Instacart rolled out its "Ask Instacart" feature a few months ago, tapping OpenAI's ChatGPT to answer shopping questions and spit out personalized product recommendations.

Every major on-demand delivery app is now scrambling to slap a conversational layer on top of their massive restaurant catalogs.

Why it matters

For anyone who hates scrolling endlessly through menus, a chatbot that can take strict parameters—like "dinner under twenty dollars that is high in protein"—is a genuinely useful everyday utility.

Across the delivery sector, this signals a shift from recommendation algorithms hidden in standard menus to conversational commerce. DoorDash, Instacart, and Uber Eats are racing to eliminate purchase friction, betting that whoever gets you from hungry to ordered fastest wins the transaction.

We think framing the bot around budget and taste from the jump is smart and addresses real user friction. The catch, however, will be trust. If users suspect the AI is secretly pushing restaurants that pay higher commission rates rather than the genuinely best match, they will bail right back to the regular search bar.