Google has launched an internal programme called Project EAT to embed artificial intelligence across its workforce, aiming to boost productivity, standardise AI usage, and ensure employees lead adoption of cutting-edge tools across core technology teams.
Google is accelerating efforts to transform its internal operations by deeply integrating artificial intelligence into everyday work, signalling a shift toward becoming a fully “AI-powered workplace.” While the company continues to roll out AI products for consumers and enterprises, it is now focusing on using the same technologies to reshape how its own employees work.
According to internal materials cited in recent reports, Google has launched an initiative called “Project EAT” within its AI and Infrastructure division. The programme is led by Amin Vahdat, a long-time Google executive, and is being run inside the unit responsible for data centres, custom chips, and the foundational systems that support Google’s AI platforms.
What Project EAT is designed to do
Project EAT is named after the industry phrase “eat your own dog food,” which refers to companies using their own products internally before offering them externally. The initiative aims to ensure Google employees actively use AI tools in their daily workflows, helping standardise adoption while identifying gaps and opportunities for improvement.
Internal documents describe the project’s mission as keeping the AI and Infrastructure unit at the forefront of AI usage, spanning productivity software, software development, and operational processes. Google believes that embedding AI across teams can significantly improve efficiency, collaboration, and work quality, while also supporting better work-life balance.
The long-term vision outlined for Project EAT is broader than tooling alone. The company sees it as an organisational shift that could drive innovation across Google by ensuring teams are comfortable and proficient with both in-house and third-party AI technologies.
Early results and broader ambitions
Project EAT has already completed an initial 12-week pilot phase focused on AI-assisted coding tools. Early internal assessments reportedly point to faster development cycles, reduced manual effort, and improved code quality among participating teams.
Beyond engineering, Google plans to expand AI-driven practices into product management, technical programme management, and operations. The goal is to establish consistent AI standards across functions, while reducing risks linked to the fast-changing external AI landscape.
By formalising internal AI adoption, Google is positioning itself not just as a creator of advanced AI systems, but as a company willing to re-engineer its own workplace around them—using internal transformation as a proving ground for its broader AI ambitions.
