Goldman sees AI infrastructure spending by $AMZN, $META, $GOOGL, $MSFT and $ORCL jumping 50%+ to $1.2T in 2027. That puts focus on monetization because Goldman says they need ~$300B of annual AI revenue to break even while more than a third of that CapEx may be debt funded.

Goldman Sachs AI Infrastructure Outlook: - $META $ORCL $GOOGL $MSFT $AMZN ➤ Projects five largest US hyperscale cloud providers will increase AI infrastructure spending 54% by 2027 to $1.2 trillion, above Wall Street expectations ➤ Expects Amazon, Alphabet, Microsoft, Oracle and Meta to spend $800 billion on AI infrastructure this year ➤ Says hyperscale cloud providers need roughly $300 billion of annual AI revenue to reach breakeven ➤ Rising funding requirements and infrastructure constraints could dampen future spending growth

GOLDMAN SEES AI CAPEX SURGING TO $1.2 TRILLION Goldman Sachs expects the five largest U.S. hyperscalers to boost AI infrastructure spending 54% to $1.2 trillion in 2027, above Wall Street estimates. Amazon, Alphabet, Microsoft, Oracle and Meta are already on track to spend $800 billion this year. Goldman estimates hyperscalers need roughly $300 billion in annual AI revenue to break even, while rising financing needs and infrastructure constraints could slow future spending growth.

Goldman Sachs’s Lindsay Rosner says the bank’s asset management arm is underweight on the biggest artificial intelligence borrowers as a flood of issuance washes over the market