Google is quietly laying the groundwork to transform itself into a fully AI-powered workplace, according to leaked internal documents that shed light on a little-known initiative called Project EAT. The program, which originated inside Google’s AI and Infrastructure division, signals how seriously the tech giant is taking internal AI adoption—not just as a product strategy, but as a cultural shift.
At its core, Project EAT is designed to help employees adopt, standardize, and scale the use of AI tools across the organization. While Google has aggressively rolled out AI products like Gemini to consumers and businesses, this initiative focuses inward, aiming to ensure Googlers themselves are working at the cutting edge of AI.
What Is Project EAT?
Project EAT was launched in May 2025 within Google’s AI and Infrastructure unit, often referred to internally as AI2. The group is led by Amin Vahdat, a longtime Google veteran who oversees data centers, AI chips, and the foundational systems that power Google’s AI stack.
According to internal documents reviewed by Business Insider, Project EAT began as a grassroots effort among employees who wanted to better integrate AI into their daily workflows. A Google spokesperson confirmed that the initiative has already resulted in the creation of internal AI productivity tools that are now being used by teams across the company.
The name itself is classic Google. “EAT” is a nod to the long-standing Silicon Valley practice of “eating your own dog food,” meaning employees actively use and test internal products before they are released to the public.
Google’s Vision: Productivity, Balance, and Innovation
An internal mission statement for Project EAT outlines an expansive vision. Google wants to become an AI-powered workplace that delivers:
- Dramatically higher productivity
- Greater employee engagement and collaboration
- Improved quality of work
- Better work-life balance
- Faster product innovation
“We envision a future where Google is transformed into an AI-powered workplace,” the mission statement reads, adding that the initiative aims to lead this change first within AI2 before expanding company-wide.
In practice, this means standardizing how AI tools are used across engineering, product management, technical program management, and operations—reducing fragmentation while increasing efficiency.
Why Project EAT Matters Now
Project EAT comes at a time when Google leadership is openly pushing employees to integrate AI into everyday work. Last year, engineering leaders encouraged developers to rely more heavily on AI-assisted coding tools. Soon after, CEO Sundar Pichai made it clear that competitors were already moving fast with AI internally—and Google couldn’t afford to lag behind.
The timing is also tied closely to infrastructure. Vahdat, who was promoted to senior vice president in December and now reports directly to Pichai, has played a central role in shaping Google’s AI hardware strategy, including its custom Tensor Processing Units (TPUs). As Google pours billions into AI capital expenditure, a significant portion of that investment flows through Vahdat’s organization.
According to Google, AI2 employs several thousand people, making it one of the most influential internal groups driving the company’s AI direction.
Early Results and Internal Testing
Internal FAQs show that Project EAT went through a 12-week seed-stage pilot. During this phase, teams tested state-of-the-art AI code assistance tools within AI2. The results were described as promising, with improvements in developer velocity, reduced repetitive work, and higher code quality.
These early wins appear to have validated Google’s belief that AI, when standardized and thoughtfully deployed, can meaningfully change how large organizations operate.
Project EAT is now pilot-testing new AI products and internal standards with the explicit goal of rolling them out more broadly across Google. The initiative also includes third-party AI tools, not just Google-built solutions, signaling a pragmatic approach to staying competitive in a rapidly evolving AI landscape.
A Blueprint for Big Tech?
While Project EAT is still internal, it offers a revealing glimpse into how one of the world’s largest tech companies is rethinking work in the age of AI. Rather than treating AI as a bolt-on feature, Google appears to be using Project EAT as a blueprint for organizational transformation—one that could eventually influence how other enterprises adopt AI at scale.
If successful, Project EAT won’t just change how Googlers work. It may quietly redefine what an AI-powered workplace looks like for the rest of the tech industry.
Don’t miss out on our latest news—follow us for the latest AI news, breakthroughs, and insights that matter.