Alphabet is preparing its first Australian dollar bond sale, a sign that the AI infrastructure race is no longer being financed mainly with internal cash generation. As spending on models and data centers climbs, debt is taking a larger role in funding expansion across the cloud sector.
PANews reported, citing Bloomberg, that Alphabet has hired Australia and New Zealand Banking Group, Deutsche Bank and Royal Bank of Canada as underwriters for the deal. The company is seeking to raise about A$5 billion, roughly $3.6 billion, through 3-year, 5-year, 10-year and 20-year notes. The shorter maturities will include both fixed-rate and floating-rate structures, while the longer maturities will be fixed rate.
According to the report, this would be the first time a major cloud company has entered Australia’s bond market, and it could rank among the country’s largest foreign corporate debt offerings in nearly a decade.
Alphabet turns to global debt markets for AI capacity spending
The Australian dollar deal is presented as one piece of a broader financing strategy. The report says Alphabet has already issued $25 billion in bonds this year, sold JPY 576.5 billion of debt, or about $3.6 billion, and also offered a rare 100-year bond in the U.K. market. Combined with about $85 billion in equity financing, its total fundraising this year has exceeded $100 billion.
That marks a sharp shift for a company once known for holding massive cash reserves and relying little on debt to expand. The pressure point is AI infrastructure spending.
In the second quarter, Alphabet posted free cash flow of negative $5.9 billion, its first quarterly negative free cash flow result since listing, the article said. At the same time, the company raised its full-year capital expenditure guidance to $195 billion to $205 billion, nearly six times the 2022 level.
Large AI model development and data center construction both require heavy upfront investment, with payback periods that can stretch over years. In that setup, tapping multi-currency bond markets gives the company a way to secure long-term liquidity and ease near-term funding pressure.
Bond markets are becoming a gatekeeper for compute expansion
Alphabet is not alone. The report argues that the broader corporate credit market is being reshaped by the financing needs of large technology companies.
In August, strong demand for AI-related financing pushed monthly U.S. investment-grade corporate bond supply to $145.2 billion, breaking the previous August record of $136 billion set in 2020. Nomura data cited in the article show total U.S. corporate bond supply is up 61% year over year. Issuance of bonds and loans tied to AI and data centers has climbed to 12 times the annual average recorded during 2015 through 2024.
Goldman Sachs estimates that AI-linked debt issuance has reached $489 billion globally so far, already above the total for all of 2025. Over the same period, Microsoft, Amazon, Alphabet and Meta are expected to spend a combined $344 billion on capital expenditures this year, equal to about 1.1% of U.S. GDP and up from $228 billion last year.
Morgan Stanley estimates cumulative global investment demand for data center construction, excluding power infrastructure, will reach $2.9 trillion by 2028. Internal operating cash flow from large cloud companies would cover only about $1.4 trillion of that total, leaving a $1.5 trillion funding gap. The bank expects annual issuance of AI-related bonds in public markets alone to approach $570 billion by year-end.
That shifts credit markets from a supporting source of capital to a direct constraint on how fast compute capacity can be deployed. Spreads and liquidity conditions in fixed income now feed straight into funding costs for cloud operators, and then into the pace of global data center construction.
Bank of America points to short AI bonds as a hedge
Wall Street is also paying closer attention to the risks building underneath the issuance wave.
Michael Hartnett, chief investment strategist at BofA Securities, said in his latest note that in a macro environment shaped by an expanding AI bubble, investors’ preferred hedge is to buy leading AI technology names and oversold cyclical assets while shorting AI-related bonds.
The report says the trade rests on two pressures at once: supply-demand imbalance and weakening cash flow coverage. If cloud companies push ahead with trillion-dollar capital spending plans over the next several years, the bond market will face a heavy calendar of new offerings. With free cash flow turning negative and profit expectations not yet fully realized, continued issuance could pressure the prices of outstanding bonds. In that framework, shorting oversupplied AI debt may offer a more attractive risk-reward profile than trying to hedge through AI equities, which remain volatile at elevated levels.
AI debt issuance is starting to affect rates and liquidity
The article goes beyond company funding and links the debt buildout to broader market liquidity. Research from the Federal Reserve Bank of Dallas, as cited in the piece, says AI debt financing is creating a meaningful duration-supply effect and putting structural pressure on the yield curve. Bloomberg-compiled data show the average yield on benchmark investment-grade sovereign bond portfolios has risen to about 4.5%, the highest since records began in 2015.
BofA and the Dallas Fed estimate that this year’s supply of AI investment-grade bonds has exceeded $300 billion. That is equivalent to injecting roughly $360 billion of 10-year Treasury duration into rate markets, or about one-eighth of annual U.S. Treasury duration supply.
The report says that scale of duration supply is already competing with Treasurys for capital. At a time of large U.S. fiscal deficits and continued heavy government borrowing, highly rated technology companies are issuing corporate bonds at yields high enough to divert funds away from sovereign debt. The result has been upward pressure on long-end yields and term premium.
On Aug. 18, the U.S. 30-year Treasury yield briefly touched 5.33%, its highest level since 2007, while the 10-year yield neared 4.75% intraday, the highest since January 2025. Because Treasury yields act as a pricing benchmark for global assets, higher long-end rates driven by AI debt supply would raise refinancing costs more broadly across the economy, the article said.
The report adds that AI bond issuance is not the only reason Treasury yields have climbed. Even so, the expansion of AI debt financing is becoming harder to ignore. Competition among technology giants is no longer just about chips, talent and hardware. It now runs through global credit markets as well.
For the technology sector, debt financing loosens the constraint imposed by internal cash flow and allows AI infrastructure spending to move faster. It also ties the industry more closely to interest-rate cycles and liquidity conditions. If monetary policy turns or credit tightens, debt-funded compute expansion would face heavier financing pressure. For the financial system, once issuance by major tech companies grows large enough to influence Treasury yields and absorb global liquidity, the cost of the AI boom stops being only a corporate finance story.