Morgan Stanley projects AI-related debt issuance could approach $570 billion in 2026

Morgan Stanley forecasts that global debt issuance tied to artificial intelligence could more than double in 2026, reaching nearly $570 billion, a figure that would place AI financing among the largest credit-driven funding waves of the decade. The projection, reported by Yahoo Finance and attributed to Morgan Stanley analysis, implies AI-related issuance would top $500 billion next year as companies look for scale and speed in funding large technology and data center investment cycles.

The outlook points to rising bond supply and broader credit market activity as hyperscalers, the large cloud and platform operators that drive much of the AI buildout, increasingly consider alternative funding sources rather than relying only on internal cash generation or equity issuance. In practical terms, the shift would extend beyond banks and into capital markets, affecting how investors price risk across corporate debt and high-yield credit.

While the headline numbers focus on total issuance, the underlying driver in Morgan Stanley’s view appears to be the magnitude and timing of AI-related capex needs. Hyperscalers are spending heavily on computing infrastructure, including data center capacity and related equipment, and the company’s messaging links that buildout to more active funding through bonds and other debt instruments.

The Reuters wire version of the same report, syndicated through TradingView, reiterates that the increase would be driven by rising bond supply and credit market activity, again emphasizing that hyperscalers are turning to alternative financing routes to support AI investment at scale. However, neither the Yahoo Finance post nor the accessible syndicated excerpts provide a breakdown of which credit segments would grow fastest, such as investment-grade versus high-yield, or how much of the issuance would be directly labeled as AI financing versus debt assumed to be driven by AI capex plans.

For markets, the forecast matters less as a single-year statistic and more as a announcement that corporate credit demand could remain structurally firm even as equity investors often reassess AI narratives. In credit markets, large issuance cycles can change supply-demand dynamics, move yields, and influence the pricing of covenants and refinancing risk, particularly if issuance is concentrated among a limited set of large borrowers.

Morgan Stanley has previously framed AI as a central force shaping growth and capital allocation in its market research. Its broader AI-focused work, including an “AI market trends” article, emphasizes that AI-related investment is a dominant theme affecting strategy across sectors, which aligns with the bank’s debt-issuance projection for 2026. Still, the current reporting is focused on financing totals rather than specific borrowers, instrument types, or timetable milestones.

What remains unclear from the current coverage is how Morgan Stanley defines “AI debt issuance.” The accessible text does not specify whether the estimate includes only publicly issued corporate bonds, also covers private placements and bank loans, or assigns AI causality based on issuer capex plans. It also does not disclose assumptions about interest rates, credit spreads, or default risk under different scenarios, which would be critical for interpreting how sensitive the forecast is to market conditions.