Sponsored by Google Cloud Choosing Your First Generative AI Use Cases To get started with generative AI, first focus on areas that can improve human experiences with information. What AI infrastructure’s transformation into an investable asset class means for the next stage of enterprise AI. Editor’s Note: Welcome to Prompt, your weekly briefing on the shifting AI landscape. We provide an analytical look at the week’s biggest developments, paired with a curated roundup of the stories that matter. What happens when AI infrastructure stops being viewed primarily as technology spending and starts being treated as an asset class? We may be about to find out. Nvidia said this week that it is partnering with six of the world's largest financial firms to mobilize more than $500 billion for AI infrastructure. It's not simply about financing more data centers. The move is intended to help establish compute and full-stack AI infrastructure as an investable asset class. That's a significant shift in how the industry thinks about funding AI's growth. The idea is to bring much larger pools of outside capital into the AI buildout. Nvidia and its financial partners plan to establish independent financing platforms that will provide dedicated capital to frontier AI labs, enterprises and AI cloud providers. That capital can then be used to finance data center construction and Nvidia hardware, helping customers build what Nvidia CEO Jensen Huang describes as a new class of productive, investable infrastructure: AI factories. The scale of the Nvidia initiative illustrates just how capital-intensive the AI buildout has become. And increasingly, that investment extends well beyond compute. SpaceX and Tesla, for example, revealed an initial $16.8 billion investment in Terafab, a massive semiconductor and advanced-computing campus planned for Texas. The project could ultimately represent as much as $119 billion in investment, according to