Alphabet Secures $25B Loan; SoftBank Offers AI Shares as Collateral for Additional $10B Funding

Artificial intelligence represents a highly capital-intensive field that demands substantial financial resources for both advanced computing infrastructure and skilled professionals. Leading players in this sector are currently deploying unprecedented levels of funding to sustain this ongoing competition in AI development. Alphabet, Google’s parent company, intends to issue ten bonds with maturity periods ranging from two to forty years, aiming to raise between $20 billion and $25 billion—approximately 135.3 billion to 169.1 billion Chinese yuan. The longest-term bond, with a maturity of 40 years, carries an interest rate that is 1.3 percentage points higher than that of U.S. Treasury bonds. These substantial financing efforts will support Google’s continued investments in AI technologies, including the expansion of data centers, further development of TPU processors, and advanced model training initiatives.

Meanwhile, SoftBank Group is also increasing its leverage significantly. According to SoftBank’s financial report for FY2026Q1, its Vision Fund 2 subsidiary signed a two-year, $10 billion secured loan agreement with a consortium of banking institutions including Goldman Sachs, JPMorgan, Mizuho, Apollo, and Sumitomo Mitsui on the fifth of this month—equivalent to roughly 67.6 billion Chinese yuan. The collateral for this loan consists of SoftBank’s shares in OpenAI, with the proceeds intended for general corporate purposes across both SoftBank Group and Vision Fund 2. By using OpenAI shares as collateral rather than selling them outright, SoftBank maintains the potential for future value appreciation while securing immediate liquidity, reflecting confidence in the long-term viability of OpenAI.

Debt Financing Has Become a Preferred Approach for Leading AI Companies

Both companies have opted for debt financing over equity financing, a strategy that reflects the unique characteristics of current AI investment patterns. Investments in AI infrastructure are typically characterized by high upfront costs and extended periods before returns become evident. Building data centers and acquiring specialized chips requires significant initial capital, and it often takes years before such investments yield substantial profits. By issuing long-term bonds, companies can secure lower borrowing rates and avoid diluting equity or reducing investment levels during critical phases of the AI competition. Alphabet’s 40-year bond structure spreads repayment obligations over a longer timeframe, providing ample capacity for sustained high-level investments in AI technologies.

SoftBank’s loan secured by OpenAI shares represents an innovative financing model. As OpenAI’s valuation continues to rise, its equity has become a highly liquid and valuable asset that can be used as collateral without the need for an IPO. This approach allows investors to realize partial value from OpenAI promptly while preserving the option for future growth. However, it also comes with risks: if OpenAI’s valuation declines, SoftBank may face pressure to provide additional collateral or even liquidate its holdings. The scale and level of leverage observed in today’s AI sector far exceed those seen in any previous technology boom. These industry leaders are betting that the returns generated by AI will be sufficient to service these debts over the next decade, though the success of this strategy remains uncertain.