Google Project EAT is at the center of the company’s plan to transform itself into an AI-powered workplace, according to a leaked internal document. The tech giant aims to deploy advanced artificial intelligence tools internally to boost productivity, collaboration, and innovation across teams. While Google continues to release AI products for consumers and businesses, the memo highlights a parallel effort to ensure its own workforce is deeply integrated with cutting-edge AI technologies.
The internal initiative underscores Google’s belief that staying competitive in the fast-moving AI landscape requires not only building powerful tools, but also using them extensively inside the company.
Inside Google’s Project EAT initiative
According to the leaked documents, Project EAT is being developed within Google’s AI and Infrastructure unit, known internally as AI2. The unit is responsible for data centers, custom chips, and other foundational technologies that support Google’s AI systems. The project is reportedly led by longtime Google executive Amin Vahdat.
The name “Project EAT” references the common technology industry practice of “eating your own dog food,” meaning employees actively test and use the company’s own products before they are launched publicly.
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A push to standardize AI use across Google
Internal documents indicate that Project EAT was created to help employees adapt to a wide range of AI products while standardizing how those tools are used across the organization. The stated mission is to ensure that the AI2 unit remains at the forefront of AI adoption, spanning areas such as productivity software, engineering workflows, and coding assistance.
“We envision a future where Google is transformed into an AI-powered workplace, leading to dramatically higher productivity, greater employee engagement and collaboration, improved quality of work, better work-life balance, and greater product innovation across the company,” the leaked document states.
The memo adds that the transformation is intended to begin within AI2 before being expanded more broadly across Google.
Early results show gains in developer productivity
An internal FAQ notes that Project EAT completed a 12-week seed phase focused on deploying state-of-the-art AI code assistance tools within the AI2 organization. According to the document, early results showed “promising signs of improved developer velocity, reduced toil, and enhanced code quality.”
These initial findings suggest that AI-powered tools could play a significant role in reshaping how Google engineers build and maintain software.
Broader goals and risk mitigation
The leaked documents also state that the primary goal of Project EAT is to accelerate the adoption and integration of both Google-developed and third-party AI technologies across AI2. Beyond engineering, the company plans to enhance standard practices in product management, technical program management, and operations through AI-driven workflows.
Google believes this approach will help mitigate risks associated with the rapidly evolving external AI landscape while reinforcing its position as a technological leader.