Goldman Sachs Strategists See Big Five US Hyperscalers' AI Infrastructure Spending Reaching $1.2 Trillion in 2027

Goldman Sachs strategists estimate that AI infrastructure spending by the five largest US hyperscalers will rise by more than 50% in 2027 to $1.2 trillion, extending a buildout already reshaping cloud computing, chips, data centers and credit markets. The forecast turns the AI race into a macro-scale capital allocation test: whether demand for AI services can arrive fast enough to justify the physical and financial infrastructure being built for it.