The term ‘full-stack’ originated in software development, referring to a single developer who can handle all aspects of an application, from front-end to back-end. This concept has been applied to AI, where a full-stack approach means having a cohesive combination of layers, including compute infrastructure, AI models, orchestration platforms, and user interfaces, all connected and working together seamlessly. This integrated system allows for more efficient and cost-effective delivery of AI products. Why it matters: A full-stack AI approach enables companies like Google to bring helpful AI to billions of people, making AI more accessible and widespread.