Per Woofun AI, J.P. Morgan strategists have revised their 2030 artificial intelligence infrastructure investment forecast upward by $400 billion to reach $5.5 trillion. The bank’s analysis indicates that approximately $4.1 trillion of this capital will be sourced through debt financing, with loans covering an average of 85% of project costs. This structural shift underscores a transition from equity-heavy funding to a debt market-centric model, evidenced by over $300 billion in global AI-related bond issuance since last November.

Meanwhile, chip manufacturer NVIDIA exemplifies this trend by pricing a $25 billion investment-grade bond offering, its first return to the bond market in five years. The seven-tranche issuance, featuring maturities between two and 30 years, attracted $85 billion in demand, prompting a 25% size increase. Although tech leaders like NVIDIA, Alphabet, and Amazon generate substantial free cash flow, their continued reliance on hundreds of billions in bond issuance suggests that credit markets are actively validating and pricing AI assets rather than addressing liquidity shortages.