The private equity industry, long hailed as a bastion of patient capital and calculated risk, finds itself in uncharted territory. Rapid advances in artificial intelligence are not merely disrupting portfolio companies—they are shattering the foundational assumptions that have powered the sector for decades.
What was once a model built on predictable cash flows, recurring revenues, and exit multiples now resembles a high-stakes gamble in a casino where the rules change by the quarter.
This disruption strikes at the heart of an industry that thrived by acquiring enterprise software firms with stable SaaS models. Those bets, often leveraged heavily, counted on years of steady growth. Yet in just three-and-a-half years since ChatGPT’s debut, AI has upended industries, compressed margins, and rendered once-reliable projections obsolete. At the recent Milken Global Conference, industry leaders admitted the modeling challenges for new deals extend far beyond software, touching nearly every sector.
Private equity’s love affair with software was understandable. Recurring revenues, scalable models, and digital transformation tailwinds delivered handsome returns for years. But hubris has a way of inviting correction. Firms loaded up during the pandemic-era boom at elevated multiples, often financed through private credit markets now showing strains.
AI agents and tools threaten to automate what once required entire software suites, eroding the moats that justified those premiums.
One veteran investor captured the frustration: “Modeling exit multiples has always involved a lot of guesswork, but now it feels like throwing at a dartboard blindfolded.” This candor reveals a deeper truth. Financial sponsors who project confidence in the landscape three years hence—whether partnering with frontier AI labs or not—risk self-delusion. The pace of change from models like Claude and Gemini defies linear extrapolation.
Conservatives have long warned against the seductive illusions of unchecked progress and concentrated power. Here, the concentration lies not just in Big Tech’s AI dominance but in an investment class that bet heavily on yesterday’s certainties. Limited partners continue to allocate capital amid a DPI drought, but the bill for past exuberance is coming due. Public software stocks have shed significant value in 2026, pressuring private valuations and exposing overleveraged positions in private credit.
The irony abounds. An industry that prides itself on operational efficiency now grapples with technology that promises efficiency at the cost of entire business models. Those who acquired at peak valuations in 2021 and 2022 face extended hold periods, down rounds, or outright impairments. Meanwhile, discerning managers seek add-ons and infrastructure plays that bolster resilience rather than chase pure AI hype.
Yet this moment offers more than schadenfreude for skeptics of financialized capitalism. It underscores the perennial folly of placing ultimate faith in human ingenuity alone. Markets reward prudence, not perpetual optimism. As disruptions mount, the winners will be those who underwrite with eyes wide open to technological risk, not those who paper over uncertainties with spreadsheets.
Private equity will deploy its dry powder—new deals are inevitable. But the long-term asset class must confront a shortened horizon for certainty. The era of easy SaaS roll-ups yields to one demanding genuine value creation amid creative destruction.
In the end, this turbulence recalls the biblical warning against building on shifting sands. As our Lord taught in the Sermon on the Mount, “And every one that heareth these sayings of mine, and doeth them not, shall be likened unto a foolish man, which built his house upon the sand: And the rain descended, and the floods came, and the winds blew, and beat upon that house; and it fell: and great was the fall of it” (Matthew 7:26-27).
AI may reshape tools and industries, but timeless principles of stewardship, discernment, and humility endure as the sure foundation.
The private equity model is not dead, but it is being refined in the fire. Those who adapt with wisdom—tempering innovation with caution—may yet deliver returns worthy of the capital entrusted to them. The rest risk becoming cautionary tales in the next cycle’s post-mortem.
