• Hirtle CIO Brad Conger warns the AI trade is entering a "kindness of strangers" phase, with hyperscalers increasingly relying on debt as free cash flow weakens.
  • AI-related debt has reached roughly $570B, with Citadel forecasting another $500B+ by 2028, raising concerns about the sustainability of the rally.
  • Conger cautions that massive AI capex will weigh on earnings for years through higher depreciation expenses, calling the belief in cash flow recovery a potential "comfortable delusion."

Fragile Prospects

AI enthusiasm has driven markets to record highs, but a growing number of investors are questioning the foundation of this rally. Brad Conger, chief investment officer at Hirtle, Connaghan, warns that the trade is increasingly dependent on faith rather than fundamentals. "The AI trade is entering a 'kindness of strangers' phase," Conger said in a recent interview, noting that hyperscalers are relying more on debt as free cash flow weakens. "Investors are assuming cash flows will recover, but that belief could be a comfortable delusion."

The numbers are staggering. AI-related debt has surged to approximately $570 billion, and Citadel forecasts an additional $500 billion or more by 2028. This borrowing spree has raised eyebrows, especially as capital expenditures for AI infrastructure continue to climb. Conger emphasizes that the massive AI capex will weigh on earnings for years through higher depreciation expenses, potentially dampening profitability even if revenue growth meets expectations.

The Debt Dilemma

Hyperscalers like Microsoft, Amazon, and Google have been spending heavily to build data centers and AI capabilities. While these investments were initially funded with strong cash flows, the pace of spending has outpaced internal generation, leading to increased reliance on debt. According to people familiar with the matter, some companies are now using debt to fund operating expenses, a sign of financial strain.

"The market is pricing in a perfect scenario where these investments pay off quickly," Conger said. "But if growth decelerates, we could see a significant correction." This sentiment echoes concerns from other prominent investors and strategists who have warned that AI valuations are stretched, with price-to-sales multiples at historic highs.

A Fragile Rally?

The AI rally has been characterized by remarkable optimism, but cracks are beginning to show. Investors are increasingly rotating within the sector, moving away from hyperscaler-heavy bets toward software and non-US opportunities. Some strategists are underweighting AI-heavy names, citing the gap between valuations and the need for sustained revenue growth.

"The market is fragile," said one portfolio manager, who asked not to be named. "We're seeing a shift in sentiment, and unless companies deliver on their promises, we could see a sharp pullback."

Conger's warning comes at a critical juncture. With interest rates still elevated, the cost of debt is rising, making it more expensive for companies to finance their AI ambitions. If free cash flow doesn't improve, the strain could become untenable.

Historical Parallels

Some analysts draw parallels to the dot-com bubble of the late 1990s, when similar optimism drove valuations to unsustainable levels. While AI has tangible applications and real revenue potential, the current investment levels may be outpacing actual demand.

"We've seen this before," Conger said. "The question is whether this time is different. I'm not convinced."

As the debate continues, investors will be watching closely for any signs that cash flows are improving. The coming quarters will be crucial in determining whether the AI rally is built on solid ground or on the kindness of strangers.

This article was updated to clarify the scale of AI-related debt.