Morgan Stanley forecasts AI-related debt issuance worldwide will more than double this year, reaching nearly $570 billion as major tech companies increase borrowing to support expansive AI investments.
- AI-related debt issuance estimated at $236 billion by May 2026, quadrupling from last year
- Hyperscale AI spending expected to exceed $700 billion in 2026 and $1 trillion in 2027
- Shift toward broader investor base and increased non-USD debt issuance
What happened
Morgan Stanley reports that global AI-related debt issuance surged to nearly $236 billion as of May 31, 2026, representing a fourfold increase compared to the same period last year. This trend is driven by tech giants—often called hyperscalers—including Alphabet, Amazon, Microsoft, and Meta, which are allocating approximately $700 billion in capital expenditures this year to accelerate their AI infrastructure and technology development.
The firm projects that total AI-related debt issuance will rise to about $570 billion in 2026 and anticipates continued growth beyond $1 trillion in AI-driven capital outlays by 2027. These figures reflect a notable shift, as technology companies traditionally reliant on strong cash flows are increasingly leveraging bond markets to meet the escalating financing requirements associated with AI advancements.
Why it matters
This surge in debt issuance highlights the scale of investment required for AI innovation and infrastructure and indicates a strategic pivot by hyperscale tech companies toward more diversified financing approaches. The rising bond supply and credit market activity underscore a robust demand for capital to fund the competitive AI race, influencing global capital markets and credit conditions.
Morgan Stanley points out that hyperscalers are broadening their investor base by issuing debt beyond US dollars, signaling an effort to tap into international capital markets and manage currency risk. The trend also impacts the chip sector, where financing is shifting to shorter-term deals that allow companies to manage repayments over a defined timeframe, reflecting evolving funding structures in response to market dynamics.
What to watch next
Market participants should monitor how the increased AI-related debt issuance affects bond pricing and credit spreads, especially as Morgan Stanley anticipates issuance to accelerate in the second half of 2026. The balance between supply and investor demand will be crucial to price stability and could influence future funding conditions for AI projects globally.
Additionally, observing developments in non-USD denominated debt issuance and regional investor participation will provide insights into the globalization of AI financing. The chip sector’s evolving funding patterns may also offer early signals on broader tech investment trends, with potential implications for innovation cycles and market competition.