Private equity firms, which heavily invested in software companies for their stable earnings, are now in a bind. The AI threat devalues these assets and complicates exits, forcing them away from traditional IPOs and toward more complex M&A strategies.

Madrona Ventures anticipates a rise in private-to-private mergers as a key trend for 2026. With questions about the long-term durability of even fast-growing private AI companies, consolidation is seen as a primary way for winners to emerge and build more defensible businesses in a volatile market.

A significant shift has occurred: private equity firms are no longer actively pursuing acquisitions of solid SaaS companies that fall short of IPO scale. This disappearance of a reliable exit path forces VCs and founders to find new strategies for liquidity and growth.

Unlike public companies, highly leveraged SaaS firms bought by PE face a brutal reckoning. With no growth to pay down debt, they must slash headcount and R&D. This leads to a long, nasty grind of declining quality and market relevance, even if customer inertia keeps them alive for years.

The enormous capital bets made on AI infrastructure and frontier models are reaching a breaking point. As not all these gambles can pay off, 2026 is anticipated to be a year of reckoning and chaos, leading to a significant industry shakeout where some high-profile players will fail.

A significant, under-the-radar headwind for tech M&A is the instability in the private credit market. Private equity firms, which rely on borrowing to finance large software acquisitions, face higher loan costs and investor uncertainty about the long-term value of software companies. This financial friction is stalling deals that would otherwise happen.

For years, founders of profitable but slow-growing SaaS companies could rely on a private equity acquisition as a viable exit. That safety net is gone. PE firms are now just as wary of AI disruption and growth decay as VCs, leaving many 'pretty good' SaaS companies with no buyers.

The current era of broad enterprise AI experimentation will end. The CEO foresees 2026 as a "year of rationalization," where CFO pressure will force companies to consolidate AI tools and cut vendors that fail to demonstrate tangible productivity gains and clear return on investment.

Software PE has gone from a niche to a crowded market full of generalist investors, or 'late-cycle tourists,' who keep valuations high. These firms lack the technical expertise to properly assess new risks like AI readiness, leading them to either overpay or kill deals based on superficial tech diligence reports, creating market instability.