Google is rolling out an internal initiative called Project EAT, aimed at transforming the company into a fully AI-powered workplace by equipping employees with advanced AI tools and workflows. The project, launched in May 2025, began as a grassroots effort within Google’s AI and Infrastructure unit, known internally as AI2, and has since evolved into a formal push to standardize AI adoption across the organization. Led by Amin Vahdat, a long-time Google veteran and senior vice president who oversees the company’s AI infrastructure, Project EAT focuses on accelerating the integration of AI tools—both Google-developed and third-party—into daily work. The initiative is part of a broader strategy to ensure Google remains at the forefront of AI innovation, both in its products and internal operations. Internal documents reveal that Project EAT’s mission is to boost productivity, improve collaboration, reduce employee burnout, and drive innovation by embedding AI deeply into workflows across engineering, product management, operations, and other teams. The project’s vision statement outlines a future where AI is seamlessly woven into every aspect of work at Google, leading to higher-quality outcomes and greater efficiency. The initiative began as a 12-week pilot program within AI2, during which teams tested cutting-edge AI coding assistants and other productivity tools. Early results showed promising improvements in developer speed, reduced manual work, and better code quality. These outcomes have helped justify the project’s expansion beyond its initial scope. The name “EAT” is a playful nod to the tech industry practice of “dogfooding”—where employees use their own products before releasing them to the public. By having AI2 teams use and refine AI tools internally first, Google aims to build more reliable, effective systems before wider rollout. Google has been pushing AI adoption across the company for over a year. In June 2024, engineering VP Megan Kacholia instructed engineers to use AI for coding tasks. CEO Sundar Pichai reinforced the message, warning that competitors were moving fast and Google needed to keep pace. Vahdat’s leadership has been central to this effort, particularly in developing Google’s AI chips—Tensor Processing Units (TPUs)—and expanding the company’s AI infrastructure. With thousands of employees in AI2 and increasing investment in AI hardware and software, Google is betting heavily on internal AI transformation. Project EAT is not just about tools—it’s about culture. The goal is to create an organizational mindset where AI is not an add-on but a core driver of innovation and performance. As the project evolves, Google plans to scale its AI standards and tools company-wide, ensuring that every team can benefit from the same level of AI support. The initiative underscores a growing trend among tech giants: the race to build not just smarter AI, but smarter workplaces.