Why AI Energy Use Is the Next Bottleneck

Lucas and Luna explore a rarely discussed constraint on AI growth: energy. With NVIDIA at $203.83 and ARM up 23% in a week, the conversation shifts from compute to kilowatts. They dive into how a single GPT-4-style query consumes roughly 10 times the energy of a Google search, and why that math breaks at scale. Case study: the new 1.2-gigawatt AI data center campus in Virginia that local utilities can't fully power. Plus: what Anthropic joining the Frontier Carbon Removal Coalition says about Big AI's climate anxiety. If you think AI's bottleneck is chips, listen to this episode. It might be the grid. #AI #EnergyCrisis #DataCenter #NVIDIA #ARM #Anthropic #CarbonRemoval #Grid #Compute #GPT4 #Virginia #FexingoBusiness #Technology #BusinessPodcast #AIInfrastructure #PowerGrid #Sustainability #ClimateTech Keep every episode free: buymeacoffee.com/fexingo