In a striking development over the past 24–48 hours, Morgan Stanley’s latest forecast reveals that global debt issuance tied to artificial intelligence is on track to nearly double in 2026, reaching approximately $570 billion. As of May 31, AI‑related issuers had already raised around $236 billion—four times the amount raised in the same period last year (techtimes.com).
This surge is being driven by hyperscaler tech giants—including Alphabet, Amazon, Microsoft, and Meta—who are increasingly relying on bond markets to finance their AI infrastructure investments. These companies are expected to spend roughly $700 billion on capital expenditures this year alone, with projections suggesting hyperscaler capex could exceed $1 trillion by 2027 (marketscreener.com).
The shift toward debt financing marks a notable change in strategy for firms that historically relied on strong cash flows. With operating cash flows being consumed by AI build‑outs, debt issuance allows these companies to maintain liquidity without diluting equity or depleting reserves (techtimes.com).
Investors and credit markets are responding to the flood of supply. Hyperscalers are broadening their investor base by issuing bonds in multiple currencies to avoid saturating U.S. markets and to tap global demand (investing.com). While appetite remains strong for high‑quality rated bonds, concerns are emerging about market capacity and potential saturation (investing.com).
This trend underscores how the AI boom has become a debt‑driven phenomenon. For the first time, AI infrastructure financing is shaping credit markets as much as equity markets—if not more. The implications are profound: passive bond funds, retirement accounts, and credit investors are increasingly exposed to AI‑linked debt, raising questions about systemic risk should AI returns falter (techtimes.com).
As we move into the second half of 2026, the pace of issuance is expected to accelerate further. Market participants will be watching closely for signs of investor fatigue, credit spread shifts, and the broader impact on bond market dynamics.