The rapid advancement of artificial intelligence is encountering a significant hurdle: the slow pace of U.S. electrical grid expansion. Goldman Sachs warns that energy bottlenecks will impede the AI race, with data center power demand expected to surge dramatically. This surge is primarily driven by the U.S., where a vast number of power generation and storage projects are awaiting grid connections. The process of securing these connections is lengthy, often taking around five years. Goldman Sachs highlights power as the main risk to trillions in planned AI-related spending.The AI race is increasingly defined by the availability of power rather than just technological innovation. This situation could lead to extended delays, unpredictable buildouts, and financial risks for companies investing heavily. Much of this expansion is financed by debt, increasing the stakes if construction timelines slip. Numerous projects have already been canceled or delayed due to various factors, including local opposition.However, slower deployment might also prevent over-investment by allowing actual demand to align with spending. The AI boom is also transforming utility companies into major beneficiaries, with substantial capital plans expected. Tech giants are even exploring direct funding for necessary power infrastructure. Ultimately, the success of AI systems hinges on the availability of sufficient power to support their operation.