Google has told its employees that the company must double its AI infrastructure capacity every six months to keep up with surging demand. The directive comes from Demis Hassabis, Google’s AI infrastructure chief, who emphasized the need for rapid scaling to support the company’s growing AI ambitions. Hassabis shared the goal in an internal memo, stating that Google’s AI systems will require a thousandfold increase in computing capacity over the next five years. This massive expansion is necessary to power the development and deployment of advanced models, including those underpinning Google’s generative AI products like Gemini, as well as its growing suite of AI tools for businesses and consumers. The message underscores the intense pressure on tech giants to scale infrastructure at a pace that matches the speed of AI innovation. As generative AI models grow in size and complexity, the demand for high-performance computing—especially in the form of specialized chips like TPUs and GPUs—has skyrocketed. Google is already investing heavily in data centers and custom silicon to meet this demand. The company is expanding its global network of data centers, building new facilities, and accelerating the development of next-generation AI chips. These efforts are part of a broader strategy to maintain its leadership in AI, especially as competitors like Microsoft, Amazon, and Meta ramp up their own infrastructure investments. The doubling requirement every six months reflects a shift in how tech companies think about scalability. It’s no longer just about incremental growth—it’s about exponential expansion to stay ahead in a fast-moving field. Employees across engineering, operations, and product teams have been instructed to align their work with this aggressive timeline, with a focus on efficiency, automation, and innovation in hardware and software. The message also highlights the human and logistical challenges behind such rapid scaling. Building and managing the infrastructure needed to support a thousandfold increase in capacity will require not only technical expertise but also significant coordination across global teams, supply chains, and energy systems. As AI becomes more central to Google’s business, the company’s ability to deliver on this infrastructure goal will be critical to its long-term success. The directive serves as both a challenge and a rallying cry for Google’s workforce to push the boundaries of what’s possible in the age of artificial intelligence.