J.P. Morgan Asset Management explores how investors can build portfolios around the AI capital investment boom, drawing lessons from railroads, telephone networks and fiber optics. The paper projects $5.5 trillion of AI capex by decade end and argues that AI exposure now runs through equities, credit, infrastructure and real estate, which may weaken traditional diversification assumptions.
AI-Conscious Asset Allocation: Portfolio Construction in a Capital Investment Boom
J.P. Morgan Asset Management
Research
42 Pages
Key Takeaways
Debt Funds the Build: Investment grade bonds are expected to supply $2.1 trillion of AI capex through 2030, more than double hyperscaler cash flow at $1.0 trillion.
Three Capex Paths: U.S. AI capex could peak near $1.2 trillion in the baseline, stay above $1 trillion with sustained demand or fall to about $500 billion.
Rethink Diversification: Core open end real estate funds hold under 0.5% data center exposure, offering a defensive counterweight as AI correlation spreads across asset classes.