AI is evolving beyond the cloud—and into the browser. This talk explores how recent advances in Web AI are making it possible to run powerful machine learning models for language, vision, and personalization directly on the client side. Leveraging technologies like WebGPU and WebAssembly, frameworks such as ONNX.js and WebLLM are enabling real-time, private, and serverless inference right where users are. We'll demonstrate how this shift improves latency, enhances user privacy, and removes infrastructure barriers—bringing scalable, intelligent experiences to the open web. This talk will promotes open-source, privacy-first AI that reduces cloud dependency, lowers entry barriers, and encourages ethical, accessible AI development across devices.