Speaking at the Hong Kong Monetary Authority’s Global Financial Leaders’ Investment Summit, Blackstone President Jon Gray warned that the immense artificial intelligence infrastructure boom requires significantly more equity financing as debt risks mount for lenders.
Blackstone President Jon Gray Warns of Debt Concentration Risks
The unprecedented capital required to build out artificial intelligence is creating concentration risks for debt investors across the sector and at individual companies, according to Blackstone President and Chief Operating Officer Jon Gray. Speaking at the Global Financial Leaders’ Investment Summit in Hong Kong, Gray explained that unlike shareholders who capture the full upside of corporate growth, lenders face capped returns largely restricted to principal and interest repayments.
There’s going to be more equity needed across this space to keep up with these enormous demands.
Photo: The Lufkin Daily News
Jon Gray, President & COO, Blackstone Inc.
To navigate these growing financial exposures, companies are increasingly turning to structured transactions, public markets, private capital, and bank financing. Gray noted that cash generated by major hyperscalers will also help fund the buildout, pointing out that demand for computing power is running well ahead of available supply. State Street Chairman and CEO Ron O’Hanley observed that the massive investment is being driven by real demand rather than building first and hoping demand follows, noting that data centers under construction are backed by real orders from actual corporate customers. Consequently, O’Hanley noted that for now it is hard to view the space as a bubble, though he did not entirely rule out the risk that future efficiency gains could leave large-scale capacity without a use. Meanwhile, Morgan Stanley strategists Vishwanath Tirupattur and Vishwas Patkar noted in a report that rising borrowing costs are unlikely to derail the artificial intelligence infrastructure buildout, though they could widen the divide between the strongest companies and lower-rated players.
Pimco CEO Emmanuel Roman Cites Trillion-Dollar Spending Projections
Sharing the stage in Hong Kong, Pimco CEO Emmanuel Roman cautioned that the sheer scale of financing could prove too heavy for global markets to absorb.
That anticipated expenditure demands about $2 trillion annually, a figure Roman contrasted directly against the United States corporate bond market standing at roughly $12 trillion and a global corporate bond market of about $20 trillion. Furthermore, Gray pointed out that Blackstone reached an agreement last week with Bank of America, Citi and Morgan Stanley to secure $63 billion in financing for purchasing Broadcom’s networking hardware and AI chips intended for Anthropic.
At some point in time, it’s going to be too much.
Emmanuel Roman, CEO of PIMCO
Global Financial Leaders Debate Market Valuations and Correction Risks
Other executives gathered at the summit weighed in on the widening gap between spending projections and realistic revenue timelines. Citadel Securities Chief Executive Peng Zhao emphasized that the valuation challenge stems from uncharted territory. Zhao noted that the technology’s revenue potential remains difficult to evaluate because markets have never encountered a growth cycle of this magnitude, adding that the sudden realization of how much remains unknown has triggered a new wave of selloffs.
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JPMorgan Vice Chairman Daniel Pinto expressed general bullishness on artificial intelligence while warning that markets are pricing in revenue and earnings growth trajectories that are overly steep. In a parallel development, Morgan Stanley CEO Ted Pick cautioned that U.S. markets are showing early signs of trending toward a correction, with nearly 10% declines seen among the majority of equities in key indexes.
Internal AI Adoption and Custom Agent Development at Morgan Stanley
Away from the macroeconomic summit discussions, financial institutions are actively deploying artificial intelligence inside their day-to-day operations. At Morgan Stanley’s wealth management division, AI head Koren Maranca noted that advisors are not restricted to using just AI agents and other systems devised for them by the firm, but can also go out and make their own. Maranca stated that if advisors want to build their own agent and possess a level of knowledge and complexity, the world is your oyster.
Blackstone Bet on Chips Drove a Debt Boom That’s Upending Credit | Bloomberg BusinessweekPhoto: Yahoo Finance
The 50,000 attempts made so far by advisors have yielded mixed results. Among the most popular internal applications are agents that help advisors plan their days and project investors’ income from money invested in the firm’s signature-savings accounts. These high-yielding accounts are offered through Morgan Stanley to give clients an easily retrievable alternative to money market funds. Maranca explained that the signature savings agent allows an advisor working with a client who has, for instance, $5 million to run a fully conversational engagement back and forth to see what the projected income would be from putting certain amounts of money into the account.
