The AI Boom Faces a $300 Billion a Year Test. Goldman Sachs Says Hyperscalers Still Have a Long Way to Go.

Goldman Sachs strategist Ryan Hammond estimates that major hyperscalers will need to generate roughly $300 billion in annual AI revenue in the next few years simply to break even on their investments. (Credit: Getty Images)

As investors pile back into the technology giants spending hundreds of billions of dollars to build the infrastructure behind artificial intelligence, Goldman Sachs says those companies still face an enormous hurdle before the boom can be considered financially successful.

Goldman Sachs strategist Ryan Hammond estimated that major hyperscalers like Amazon, Microsoft and Oracle will need to generate roughly $300 billion in annual AI revenue in the next few years simply to break even on their investments.