Goldman Sachs' "Powering the AI Era" report estimates that $5 trillion in total investment will be needed for AI digital infrastructure and the power and utilities sector by 2030, split between $2 trillion for digital infrastructure and $3 trillion for power and utilities. Global data center power demand is projected to surge 170 percent over the same period, with more than 60 percent of the increase expected in the United States. The report notes that operating a single 250 MW AI data center costs approximately $12 billion including computing equipment, and that AI server rack power requirements in 2027 are projected to be 50 times higher than cloud rack requirements five years earlier. Goldman Sachs also found that annual new high-voltage transmission line construction in the United States fell from an average of 1,700 miles in 2010 to 2014 to an average of 350 miles in 2020 to 2023, and that roughly 2,600 gigawatts of generation and energy storage projects are currently awaiting grid connections.
The scale of investment Goldman Sachs identifies, $3 trillion for power and utilities alone by 2030, frames the grid buildout required to sustain AI infrastructure as a generational financing challenge, not a near-term capacity adjustment. The finding that 76 of 86 recently canceled or significantly delayed projects were directly linked to local opposition quantifies a specific barrier to supply that financial commitments alone cannot resolve.
A Goldman Sachs research projection of $5 trillion in AI infrastructure spend through 2030, with power explicitly named as the binding constraint over chips, is a high-authority market signal relevant to the entire data center industry.