For the first time, the high-multiple software industry faces a potential existential threat from AI. Even the possibility of disruption is enough to compress valuations, causing massive dispersion where indices look calm but underlying sectors are experiencing extreme rotation.

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.

The "SaaS-pocalypse" isn't about AI replacing software overnight. Instead, AI's disruptive potential erases the decades-long growth certainty that justified high SaaS valuations. Investors are punishing this newfound unpredictability of future cash flows, regardless of current performance.

The primary threat of AI to software isn't rendering it obsolete, but rather challenging its growth model. AI will make it harder for SaaS companies to implement annual price increases and will compress valuation multiples, creating stress for over-leveraged firms from the zero-interest-rate era.

The traditional software buyout playbook relies on a stable terminal value multiple for exits. However, AI's ability to make existing code obsolete means long-term free cash flow projections are no longer reliable, rendering the leverage-based PE model fundamentally flawed.

Jerry Murdock warns that the AI tsunami poses an existential threat to private equity firms heavily invested in traditional SaaS. He compares them to firms like Forstmann Little, which bet big on telcos before the dot-com crash and were subsequently wiped out, suggesting a similar fate awaits those who don't adapt.

According to Manny Roman, AI will empower large companies to build their own software solutions in-house, replacing expensive third-party contracts. This poses a significant threat to the predictable revenue streams of many enterprise software companies, potentially upending private equity investments that rely on those cash flows.

For over a decade, SaaS products remained relatively unchanged, allowing PE firms to acquire them and profit from high NRR. AI destroys this model. The rate of product change is now unprecedented, meaning products can't be static, introducing a technology risk that PE models are not built for.

SaaS business models derive value from long-term customer relationships. AI's disruptive potential makes the 10-year outlook for any software company extremely uncertain. This means the entire SaaS category is currently mispriced, though it's unclear if companies are over or undervalued.