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Morgan Stanley's Anish Shah reveals AI-related financing will hit $400-500B this year, representing 10-15% of all credit issuance. This new sector emerged from zero just two years ago and has already become the largest non-financial vertical in the entire credit market.

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Morgan Stanley frames AI-related capital expenditure as one of the largest investment waves ever recorded. This is not just a sector trend but a primary economic driver, projected to be larger than the shale boom of the 2010s and the telecommunications spending of the late 1990s.

Major tech firms are issuing debt at a record pace to fund AI infrastructure. This surge, from ~$20B annually to $150B year-to-date, is shifting the composition of the IG index, making tech a dominant sector akin to banking.

Major tech "hyperscalers" are issuing massive amounts of debt to fund AI CapEx. This issuance is driven by competitive necessity, making it largely insensitive to broader economic volatility or funding costs. This new dynamic is a significant driver of record corporate bond supply.

Massive debt issuance by AI hyperscalers is fundamentally altering the U.S. investment-grade credit market. The tech sector's debt footprint is on track to exceed that of the entire U.S. banking sector, a significant structural change from the market's historical tilt towards financials.

Unlike prior software booms, AI requires immense physical infrastructure (data centers, chips, energy). The scale is too vast for equity financing alone. This creates a huge opportunity for credit markets to finance the hard asset components of the AI revolution.

Morgan Stanley predicts the AI investment cycle, plus M&A and capex, will drive a 60% surge in U.S. investment-grade bond issuance in 2026. This massive supply increase is expected to push U.S. credit spreads wider, even if the underlying economy remains healthy and demand is strong.

The massive capital demand for AI is forcing financial innovation. New credit instruments are emerging that blend project finance, tranching, and guarantees, breaking down traditional barriers between public bonds and private credit to expand the investor base and reduce friction.

The financing for the next stage of AI development, particularly for data centers, will shift towards public and private credit markets. This includes unsecured, structured, and securitized debt, marking a crucial role for fixed income in enabling technological growth.

The buildout of AI infrastructure, specifically data centers, is projected to require five trillion dollars in financing over the next five years. J.P. Morgan analysts note that credit markets, including leveraged finance, are the primary source for this capital, with market sentiment shifting from fear to a focus on allocating these massive deals.

Private credit is a major funding source for the AI buildout, particularly for data centers. Lenders are attracted to long-term, 'take-or-pay' contracts with high-quality tech companies (hyperscalers), viewing these as safe, investment-grade assets that offer a significant spread over public bonds.

AI Financing Is Already 15% of the Entire Credit Market | RiffOn