CoreWeave CEO: Building AI infrastructure will require trillions in public-private investment

AI Infrastructure Investment & Scale - Building planetary-scale AI infrastructure requires both private and public sector resources [2] - The AI infrastructure buildout, encompassing energy exploration, power generation, transmission, data centers, supercomputers, and application layers, is estimated to be a multi-trillion dollar investment [5] - This infrastructure is considered a fundamental component of the future economy for the next 50 years [5] Demand & Monetization - The large deals announced by AI labs and hyperscalers indicate significant demand for compute [4] - The majority of compute being built is to serve inference, which represents the monetization of AI [11] - Hyperscalers are being paid to build this infrastructure to serve current and projected client demand [12] Bubble Concerns & Commercial Activity - The question of whether the large capital investments in AI will produce a significant return is being raised [10] - The flow of money into AI is supported by broad-based demand across the technology space as businesses integrate AI into their workflows [13] - The companies deploying capital in AI are among the largest and most successful, differentiating this from the dot-com bubble [14] Comparison to Dot-com Era - Unlike the dot-com era, which was a bolt-on to existing infrastructure, AI requires a new layer of power generation due to increased power consumption [7] - The disruption caused by AI is considered to be on the same order of magnitude as the advent of the internet [8]