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SoftBank Group’s push to raise broader backing for a $40 billion loan tied to its investment in OpenAI is drawing fresh attention to how far global lenders are willing to support Masayoshi Son’s debt-heavy bet on artificial intelligence. More banks are being approached to join the financing, extending a syndication effort that began after SoftBank secured the bridge facility in March, in what has become a major test of confidence in both the Japanese group’s balance sheet and the commercial promise of generative AI.
The loan sits at the centre of SoftBank’s plan to deepen its exposure to OpenAI, the company behind ChatGPT. SoftBank said on March 27 that it had entered into a $40 billion unsecured bridge facility, with borrowings intended primarily to fund a $30 billion follow-on investment in OpenAI through SoftBank Vision Fund 2, while also covering general corporate purposes. The facility matures on March 25, 2027, and was arranged with lenders including JPMorgan Chase, Goldman Sachs, Mizuho Bank, Sumitomo Mitsui Banking Corp and MUFG Bank.
That financing has now moved into a wider marketing phase, with additional lenders being invited in as SoftBank and its core banks gauge appetite beyond the original underwriting group. The exercise matters because the sums involved are unusually large even by global syndicated-loan standards, and because the debt is unsecured, leaving creditors to judge SoftBank’s broader asset base, liquidity and its willingness to keep borrowing to fund AI expansion. Reports on Wednesday indicated the process had entered a “soft launch” stage, underscoring that the company is still sounding out market demand rather than presenting the deal as fully settled.
OpenAI’s swelling valuation helps explain why lenders may still be willing to listen. The company said on March 31 that it had closed a funding round with $122 billion in committed capital at a post-money valuation of $852 billion, placing it among the most richly valued private technology groups in the world. Reuters has also reported that OpenAI is preparing for a possible stock market listing in the second half of 2026, with management considering a retail allocation for that offering. For SoftBank, that trajectory offers a possible route to refinancing or monetisation; for banks, it provides part of the argument for supporting a short-dated bridge loan tied to a high-profile asset.
Yet the deal also sharpens questions over leverage. S&P Global Ratings revised SoftBank Group’s outlook to negative from stable on March 3 while affirming its BB+ long-term issuer rating, citing concerns that the planned additional investment in OpenAI could weaken liquidity and reduce the quality of assets supporting its credit profile. Reuters and other market reports have since noted that investors are watching for further asset sales, refinancing steps and new debt issuance as SoftBank tries to fund its ambitions without stretching the group too far.
That tension between opportunity and strain has become a defining feature of SoftBank’s AI strategy. Son has spent the past year repositioning the group around artificial intelligence infrastructure, data centres and model companies. Alongside the OpenAI commitment, SoftBank has been tied to the Stargate data-centre venture in the United States, a multibillion-dollar build-out effort involving OpenAI and Oracle. Reuters reported in January that OpenAI and SoftBank had each committed $500 million to invest in SB Energy as part of that wider infrastructure push. The scale of those parallel commitments helps explain why creditors are looking not only at OpenAI’s potential upside, but also at the cumulative demands on SoftBank’s capital.
For the banking market, the syndication carries significance beyond one borrower. A successful expansion of the lender group would suggest that large banks remain comfortable financing concentrated AI exposure when the borrower has substantial holdings and when the underlying asset is a market leader. A weaker take-up, by contrast, would signal that enthusiasm for the AI boom is beginning to meet harder limits in credit committees, especially where profits are still thin, valuations are lofty and repayment depends partly on future refinancing or asset disposals.
