Uber is rolling out AI-powered features built on OpenAI’s models to help drivers and couriers navigate its massive real-time marketplace. With 40 million trips daily across 15,000 cities, the platform is a juggernaut of complex variables—traffic, weather, events, and local regulations. Uber Assistant is the new AI tool that turns hard-to-read data like earnings trends and heatmaps into simple, actionable advice. Drivers can ask plain-language questions like “Should I head to the airport?” or “Why was my pay lower today?” and get personalized answers. The goal is to reduce cognitive overload, especially for new drivers, who now ramp up faster by learning marketplace dynamics without painful trial and error. Even experienced drivers find value, proving this isn’t just a beginner crutch. For riders, voice and conversational features make booking smoother. Why it matters: This is a prime example of LLMs moving beyond chatbot gimmicks to solve hard, real-world logistics problems at planetary scale, turning messy data into clear decisions for millions of gig workers.