Blackstone Chief Urges Equity Shift to Offset AI Debt Exposure

The rapid expansion of artificial intelligence infrastructure is straining traditional debt markets, prompting major financial leaders to advocate for a heavier reliance on equity financing. Jon Gray, president of Blackstone, argued on Tuesday that lenders face rising concentration risks as they fund the sector. He noted that unlike shareholders, creditors have limited upside potential and are primarily exposed to principal and interest repayments.

Gray made the comments at the Global Financial Leaders’ Investment Summit in Hong Kong. He stated that the scale of capital required for AI development is creating specific risks for debt investors. To manage this exposure, he suggested a mix of public markets, bank loans, and private capital. He also pointed out that cash generated by large technology firms, known as hyperscalers, will fund a portion of the spending.

Emmanuel Roman, CEO of Pimco, joined the discussion with a cautionary note. He warned that the sheer volume of AI-related financing might prove difficult for markets to absorb. Roman cited an estimate from Bill Ford, CEO of General Atlantic, that AI capital spending could reach $10 trillion over the next five years. He added that approximately $550 billion in AI debt has already been issued this year in various forms.

Roman compared the required financing to the global corporate bond market, which stands at roughly $20 trillion. He described the necessary capital as gigantic and stated that at some point, the demand will exceed supply. This sentiment aligns with a report from Goldman Sachs released Monday, which projected that global data center demand will require about $8.5 trillion in capital spending over the next five years.

Despite the financing challenges, Gray maintained a positive outlook on the sector. He reported that spending on AI models across Blackstone’s portfolio companies increased twentyfold over the past year. He attributed this surge to financial benefits derived from coding, customer engagement, and content creation. Gray stated that demand for computing power is currently running well ahead of supply.

The path to meeting this demand remains complex. Gray identified securing sites, permits, chips, power, and capital as increasingly difficult tasks. He emphasized that structured transactions are becoming more common as companies seek to limit their debt loads. The financial industry is now tasked with designing these creative solutions to support the continued buildout of AI infrastructure.