Key Takeaways

  • Dedicated software buyout funds have quietly halted new platform acquisitions, choosing to hold uncalled capital while evaluating artificial intelligence disruption.
  • High top-of-funnel activity creates a false sense of liquidity: sponsors continue requesting data rooms and taking founder calls purely to gather market intelligence without intending to wire capital.
  • Existing software portfolio performance remains steady, but sponsors cannot underwrite five-year terminal values because technological moats remain difficult to verify.
  • Software capital deployment has separated into experimental product spending versus durable enterprise tools that deliver measurable cash returns.

The Secret Pause in Software Buyouts

Two years ago, software buyout funds were the most aggressive buyers in private equity. Today, many of those same funds have stopped buying platforms entirely.

Adi Filipovic, Managing Director at Resurgens Technology Partners, points out that the hesitation is an open secret across the industry. “The easy one is the deal environment ain't good in southern terms and the reason is largely the AI disruption opportunity,” Filipovic says. “The idea that if you went two years ago and said there are software private equity firms, they do software, they exist for software, they've raised many funds, and that there are software private equity firms that openly or secretly are not investing in software in the moment. That would be kind of a shocking phrase, but that's a fact.”

The pause is not about current financial distress. Portfolio companies continue to perform, renew contracts, and hit cash flow targets. Instead, the freeze comes from underwriting uncertainty. Sponsors cannot model five-year exit multiples when underlying code bases, pricing power, and competitive moats face technological shifts. Filipovic observes that while no sponsor ignores artificial intelligence, the actual downside risk remains difficult to isolate inside existing portfolios: “The sentiment for many people inside their portfolios, the risk side, you can't put your finger on it quite yet. It's not manifesting itself.”

Looking at Deals Is Not Wiring Money

Founders and investment bankers often misread sponsor engagement as proof of deal demand. Calendars fill up, introductory calls happen, and data rooms get opened. But activity does not equal liquidity.

“I sometimes get a sense from founders or even advisors is like ah there's a lot of people claiming their interest,” Filipovic explains. “I'm still getting a lot of calls. There's not many deals, so everybody's looking at stuff. And that's all kind of true, but there's also the difference between, yes, I'm interested in getting information about your business and talking to you and wiring the money.”

Sponsors use pipeline calls to gather market intelligence and benchmark their own portfolios against emerging technologies. They want free market data. They do not want to take balance-sheet exposure on businesses whose defensibility could evaporate mid-hold. Until buyers understand how artificial intelligence rewrites the cost structure of software development, they will browse without buying.

Separating Experimentation From Durable Value

The current spending wave across tech is driven by curiosity rather than proven return on investment. Software vendors are rushing to integrate language models into their interfaces, often without clear customer demand or pricing power.

Filipovic argues that this experimentation phase is necessary but financially undisciplined. “There's a lot of AI for the sake of AI and which is necessary,” he notes. “We all need to pick up the capability and see what's possible. But a lot of spend of money and time today is a little bit of AI for the sake of AI.”

For buyout investors, value creation requires more than adding conversational interfaces to legacy software. The technology must unlock specific workflows that legacy code could not execute. Until target companies demonstrate that their artificial intelligence features defend customer retention and expand margins, private equity committees will keep hurdle rates high and transaction volumes low.

Why It Matters

Software private equity is experiencing a structural pause where sponsors hoard intelligence while withholding platform equity. This hesitation signals that historical valuation multiples for standard recurring revenue models are breaking down until buyers can price long-term terminal risk. Sponsors who separate experimental product additions from defensible, workflow-embedded moats will capture mispriced assets while competitors stay on the sidelines.