Microsoft's Head of Cloud & AI on the AI Buildout's Risks and ROI — With Scott Guthrie

In this episode of Big Technology Podcast, host Alex interviews Scott Guthrie, Microsoft's head of cloud and AI, about the massive AI data center buildout. They discuss whether the current level of investment is sustainable, Microsoft's strategy compared to other big players like NVIDIA and Oracle, and the potential for diminishing returns on large-scale AI model training. Guthrie emphasizes Microsoft's balanced approach, focusing on both pre-training and post-training infrastructure, and the importance of geographic distribution to meet data residency needs. The conversation also covers the lifespan and utilization of GPUs, technological breakthroughs in data center cooling, the economic impact of data centers on local communities, and the potential for custom silicon in AI applications. Guthrie defends Microsoft's investment strategy, highlighting the company's revenue growth and commitment to long-term, sustainable development in the AI space.