AI Infrastructure Debt Balloons as Chipmakers Turn to Bond Markets

AI infrastructure debt has become the default way to pay for the computing build-out, and August 2026 made the shift hard to miss. AMD priced the largest bond sale in its history. Broadcom entered talks for a financing package that people familiar with the discussions put at between 60 and 100 billion dollars. Nvidia announced arrangements with six of the world’s biggest banks and asset managers to mobilise more than 500 billion dollars of third-party capital. Taken together, the month marked the point at which chipmakers stopped funding AI capacity mainly out of retained earnings and started funding it in credit markets.

That change of funding source is not a technicality. It alters who bears the risk if demand for AI computing arrives later or smaller than the spending assumes.

How AI infrastructure debt became the default funding tool

For most of the past decade the largest technology companies were asset-light. Software and scalable cloud services required modest capital investment relative to the cash they generated, and buybacks rather than bond issues were the story investors followed.

Moody’s describes the current period as a transition from asset-light to asset-heavy models requiring unprecedented capital raising, and projects capital expenditure across the group reaching about 785 billion dollars in 2026 and approaching a trillion dollars in 2027.

Cash flow, however strong, does not stretch that far on that timetable, so the money is coming from bond markets. S&P Global counted 225 billion dollars of bonds issued by hyperscalers and related entities including Nvidia in the first half of 2026, a rise of roughly 974 percent, and put the group on pace for about 400 billion dollars across the full year.

S&P also flagged signs of indigestion: issuers are paying a wider premium over risk-free yields, and market participants are growing wary of quickly rising leverage from companies previously known for reliable cash flow.

The deals that reset the scale of borrowing

AMD priced 4.75 billion dollars of investment-grade notes on 13 August 2026, its largest dollar bond offering, across four tranches with maturities from three to ten years. It was more than triple the 1.5 billion dollars the company raised in March 2025. AMD has said the proceeds are for general corporate purposes, which may include repaying existing debt, rather than earmarking them for AI projects.

Broadcom’s financing is larger and less settled. Bloomberg reported on 20 August that the company was in talks with lenders to raise more than 60 billion dollars for an AI chip deal serving Anthropic and other customers, with Blackstone and Apollo among the asset managers involved. CNBC reported the next day that the package was expected to reach upwards of 70 billion dollars, with accounts of a junior tranche taking the total towards 100 billion. The figures come from people familiar with the talks; terms are not final.

Nvidia’s approach is different again. On 10 August the company announced memorandums of understanding with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to establish compute financing platforms intended to mobilise more than 500 billion dollars of third-party capital over time. This is Nvidia’s own description of arrangements still subject to final agreements. If executed, they would channel institutional capital towards buyers of Nvidia hardware rather than onto Nvidia’s own balance sheet.

Foundry spending follows the same logic. TSMC issued 18.4 billion New Taiwan dollars of unsecured domestic bonds in May 2026, against board-approved capital appropriations of about 21 billion dollars for advanced machinery and capacity.

Where the risk sits

Three features of this wave concern analysts more than the headline totals.

The first is what does not appear as debt. A study by Nikkei found that so-called hidden debt at five large US technology companies has grown roughly eightfold in four years to 1.65 trillion dollars, exceeding the 1.35 trillion dollars sitting on their balance sheets. These are long-term purchase commitments for chips and servers, and leases with data centre operators. They are legitimate under accounting rules and usually disclosed in the notes to financial statements, and much will convert into recognised obligations as facilities open. Moody’s separately put such arrangements at about 1.2 trillion dollars, more than 820 billion of it tied to data centres still under construction.

The second is circularity. Moody’s has pointed to a loop in which large technology firms invest billions in AI labs that then spend heavily on cloud computing from those same investors, so reported backlogs partly reflect capital the seller supplied. The Bank for International Settlements named opaque circular financing, alongside an AI capital spending bust and sovereign debt fragility, among the pressures identified in its 2026 annual economic report.

The third is crowding. Borrowing on this scale competes with government issuance at a moment when the US federal deficit is heading towards roughly two trillion dollars and the Federal Reserve is no longer a large buyer of Treasuries. RSM chief economist Joseph Brusuelas wrote in July that demand for both kinds of debt remains strong, “yet that will not endure indefinitely,” and that “at some point, the rivers of capital financing private and government debt issuance will flow less freely.”

None of this amounts to a distress call. Moody’s has been explicit that hyperscalers still hold some of the most robust balance sheets in the corporate world and that their investment-grade ratings face no imminent risk. The change is in the shape of the exposure, not its immediate severity.

What comes next for lenders and investors

The mechanical difference between funding capacity from earnings and funding it with borrowings is timing. Retained earnings absorb a disappointing year quietly: spending slows, and nothing is owed. Debt offers no such flexibility. Coupons and maturities fall due on fixed dates whether or not the servers financed are earning their keep.

Depreciation is a second pressure. The useful-life assumptions applied to AI accelerators are a live debate, and shorter lives mean higher charges against earnings just as interest costs rise.

Watch three things over the coming quarters. Spreads on new technology issuance show whether investor appetite is holding. Quarterly filings show how fast purchase commitments and leases convert into recognised liabilities. And the terms emerging from the Broadcom and Nvidia structures will decide whether compute-backed lending becomes a standing asset class.

Further down the chain, the shift is felt as pricing: financing costs embedded in compute contracts eventually reach the businesses renting capacity, a consideration for firms weighing where to base operations, a theme examined in our guide to UAE free zone and mainland business structures. The spread of AI tools into everyday operations, covered in our reporting on AI customer support for small businesses, is what the borrowing is ultimately meant to serve.

Key questions about the borrowing wave

How much have chipmakers and hyperscalers borrowed for AI in 2026?

S&P Global counted 225 billion dollars of bonds issued by hyperscalers and related entities including Nvidia in the first half of 2026, and put the sector on pace for about 400 billion dollars for the full year.

What was AMD’s August bond sale?

AMD priced 4.75 billion dollars of investment-grade notes on 13 August 2026 across four tranches, its largest dollar bond offering and more than triple the 1.5 billion dollars raised in March 2025. AMD said proceeds are for general corporate purposes.

What is meant by hidden or off-balance-sheet AI debt?

Obligations that do not appear as debt on a balance sheet, such as long-term purchase commitments for chips and servers or leases with data centre operators. A Nikkei study put these at 1.65 trillion dollars across five large US technology firms.

Are credit ratings at risk?

Moody’s has said hyperscalers still hold some of the strongest balance sheets in the corporate world and that their investment-grade ratings are not facing imminent risk, while warning that the shift to asset-heavy models requires unprecedented capital raising.

Why does funding AI with debt change the risk?

Retained earnings absorb a downturn quietly. Debt does not. Coupons and principal fall due on fixed dates regardless of whether the capacity being financed is generating revenue, and refinancing depends on markets staying open at tolerable spreads.

For more on how financial documentation requirements are tightening globally, read our analysis of proof of funds rules in the UK, Canada and Australia.