During a plenary meeting, Amin Vahdat, the leader of AI infrastructure at Google, emphasized that in order to keep up with the growing demand for AI services, the company must expedite the growth of its computing capabilities, doubling them every six months and aiming for an additional 1,000-fold surge over the next four to five years. He highlighted that AI infrastructure is both vital and expensive, and Google's investments are directed towards establishing more dependable, high-performance, and scalable facilities. Beyond enhancing infrastructure, Google is also focusing on boosting computing power by employing efficient models and in-house-developed chips, having just unveiled its seventh-generation Tensor Processing Unit the previous week. Google's CEO, Sundar Pichai, anticipates that the competition in the AI sector will become even fiercer by 2026, which will put further strain on the demand for computing power. He asserted that the investment risk lies in not having enough computing power, rather than in overinvesting. He also noted that Google Cloud's revenue saw an uptick this quarter, with a substantial backlog of orders, and that data performance would be further enhanced with more abundant computing power, while Google's asset base continues to be strong.