Key Takeaways

  • Public tech earnings surged 50% year-over-year in the second quarter, while the broader S&P 500 grew earnings by 29% and non-tech components rose 19%.
  • Hyperscaler capital expenditure now accounts for roughly 70% of total US corporate capex, creating an unprecedented concentration of infrastructure spending.
  • The cash funding this infrastructure buildout comes directly from big tech operating cash flows, steadily eroding free cash flow margins across mega-cap balance sheets.
  • Historical precedents, from nineteenth-century railroads to late-1990s telecom buildouts, show that outsized capex surges routinely end in cyclical busts.
  • Despite capex risks, hyperscaler revenues grew 50% year-over-year, securing their position at the center of downstream commercial software distribution.

The Earnings Boom vs. The Capital Drain

Institutional allocators spent a decade chasing private equity multiples under the assumption that public markets could not match private value creation. Warren Gibbon argues that this view missed the actual performance of public equities. Public tech players built an engine that paired high top-line growth with extraordinary free cash flow margins.

“Investors have really underestimated the value generation of the public market,” Gibbon noted. “Yes multiples are high, but the thing I think people are still really struggling to appreciate is the immensely powerful combination it has been for large tech public players to combine revenue growth with very, very strong profit margins and free cash flow generation.”

Second-quarter data illustrates that divergence. Tech earnings climbed 50% year-over-year. Even stripped of tech, the S&P printed 19% earnings growth. Public market earnings power expanded faster than most private equity portfolio companies could grow while carrying heavy leverage under elevated interest rates.

70% of US Corporate Capex Carries Historical Risk

The tension lies in what big tech is doing with that cash. Instead of returning capital to shareholders or letting balance sheets accumulate dry powder, hyperscalers are pouring cash directly into compute infrastructure.

Gibbon pointed out that hyperscaler spend now represents roughly 70% of total US corporate capex. That share is slated to climb higher into next year. Every dollar allocated to data centers, custom silicon, and power purchase agreements reduces current free cash flow.

“The source of this is the free cash flow from those big tech companies, and that's being eroded,” Gibbon warned. “If we look back in time, anytime you've seen these big capex booms, it has really been followed by some kind of bust, whether it's railroads, whether it's internet more recently in the late '90s.”

When infrastructure spending outpaces immediate monetization, the resulting overcapacity depresses returns on invested capital across the entire supply chain.

The Distribution Moat Shields Hyperscalers

A capital expenditure bust does not necessarily break the hyperscalers themselves. In previous cycles, infrastructure owners went bankrupt because they funded physical assets with debt. Today, mega-cap tech platforms fund data centers out of operating earnings.

With hyperscaler revenues up 50% year-over-year, their core enterprise relationships remain secure. As Gibbon explained, “They're right in the middle of everything we do around AI, so however the AI side plays out, they will be in a good position.”

Even if infrastructure ROI falls short in the near term, hyperscalers control the enterprise identity, security, and distribution layers. If a capacity glut develops, hardware vendors and peripheral providers will absorb the margin compression, while cloud platforms repurpose cheap compute to serve their existing enterprise customer base.

Why It Matters

This dynamic signals that private market investors must re-underwrite software valuations against public market earnings yield rather than historical low-rate benchmarks. When hyperscalers control 70% of US corporate capital spending, private equity software assets face either platform dependency or margin compression from infrastructure costs. Capital allocation is centralizing into mega-cap balance sheets, shifting the risk of capacity overhang onto external suppliers and late-stage venture infrastructure bets.