The Metric Taking Over Earning Season

Capital expenditure on AI infrastructure is emerging as a pivotal metric for global markets as Alphabet, Amazon, Microsoft, and Meta drive record-breaking investments. Morgan Stanley estimates these hyperscalers will spend over $600 billion this year on chips, power, and cooling, with annual projections reaching $1 trillion by 2028. This massive build-out fuels significant revenue for semiconductor suppliers but requires extensive corporate borrowing, leading to record bond issuance that may pressure the credit market. While these spending plans support equity valuations and risk appetite, the resulting debt load presents a negative outlook for credit relative to other fixed-income assets like mortgage-backed securities. Ultimately, this investment surge could reshape monetary policy, as increased productivity from AI might lower inflation and justify lower interest rates.