NCCapital

Private equity didn't just buy companies. It often loaded them with debt, extracted cash and fees, stripped away long-term investments, and left the consequences for someone else to deal with.

The private-equity playbook can be brutally straightforward: acquire a company using substantial leverage, push the debt onto the business, cut anything that doesn't immediately improve EBITDA, extract dividends and management fees, and eventually sell or walk away if the debt burden becomes unsustainable.

The result has been a recurring presence of private-equity-backed companies in major U.S. bankruptcies. Retailers, grocery chains, nursing-home operators and other businesses have repeatedly become examples in the debate over whether financial engineering can create short-term returns at the expense of long-term stability.

Now, increasingly, people are comparing the disruption caused by artificial intelligence to the destruction left behind by private equity. The comparison is provocative, but the two forces aren't actually doing the same thing.

Private equity is fundamentally a form of ownership and financial engineering. Investors intentionally structure companies around leverage and returns, sometimes making businesses more financially fragile in the process. AI, by contrast, is a technological force that can rapidly make certain products, services, skills, and business models less valuable.

AI can commoditize software features almost overnight. It can flood the internet with automatically generated content, reduce demand for certain freelance services, and put pressure on software companies whose products can suddenly be replicated or replaced by increasingly capable AI systems.

That disruption is particularly painful for companies that were valued on the assumption that their software, content, or services would remain difficult to reproduce. As AI lowers the cost of producing those things, some businesses are discovering that what once looked like a durable competitive advantage may not be as durable as investors believed.

Private equity is also caught in the middle of this transformation. Firms that previously acquired software and technology companies are now confronting portfolio companies whose growth assumptions may have been undermined by AI. Businesses that were supposed to be sold or refinanced at higher valuations can become increasingly difficult to exit when their underlying economics change.

There is an important distinction, however. Private equity's damage can be the consequence of deliberate financial decisions: leverage the company, extract value, and prioritize investor returns. AI's disruption isn't an intentional act of extraction. It is technological competition operating at extraordinary speed.

Both forces can nevertheless leave considerable wreckage behind. Private equity can leave highly leveraged companies struggling under enormous debt loads. AI can leave displaced workers, obsolete business models, collapsing valuations, and industries scrambling to adapt to a new cost structure.

The difference is ultimately about intent. Private equity is an ownership strategy that can deliberately make companies financially fragile in pursuit of returns. AI is a technology that accelerates creative destruction, regardless of whether the people or businesses affected are prepared for it. Both can transform entire industries—and both can leave plenty of casualties behind—but only one was designed to extract value before the company runs out of road.