Blackstone President Calls for More Equity to Fund AI Buildout as Debt Risks Mount

Blackstone president Jon Gray has urged greater use of equity financing to fund the buildout of artificial intelligence infrastructure, warning that rising debt levels pose growing risks to the sector. In comments reported by CNBC, Gray argued that the scale of capital required for AI data centers and related infrastructure makes equity a more appropriate funding source than debt, which he suggested could strain balance sheets as borrowing costs and leverage climb.

Gray's remarks come as the AI investment cycle accelerates, with hyperscalers and private capital providers committing vast sums to computing capacity. The Blackstone president's position reflects concern that the financing structure of the buildout could become a source of vulnerability if debt continues to dominate. By advocating for equity, Gray is effectively calling for a more conservative capital stack across the industry, one that spreads risk among investors rather than concentrating it in lenders.

The comments carry weight given Blackstone's position as one of the world's largest alternative asset managers and a major participant in infrastructure and real estate markets. Gray did not specify which projects or companies he was referring to, nor did he outline a specific proposal. The remarks nonetheless signal that senior figures in private capital are increasingly focused on how the AI boom is financed, not just how quickly it is built.

For investors, the key implication is that financing conditions could become a constraint on the pace of AI infrastructure spending. If equity becomes the preferred route, returns may be diluted across a wider base of investors, while lenders could face pressure to tighten terms. Gray's warning adds a note of caution to a buildout that has so far been characterized by aggressive spending commitments.