A market bifurcation is underway where investors prioritize AI startups with extreme growth rates over traditional SaaS companies. This creates a "changing of the guard," forcing established SaaS players to adopt AI aggressively or risk being devalued as legacy assets, while AI-native firms command premium valuations.

The traditional PE strategy involves buying legacy companies and cutting costs by ~10%. AI enables startups to rebuild entire industries from scratch, slashing costs by 90-99%. This allows VCs to fund disruptors that can out-compete and dismantle sectors previously dominated by PE roll-ups.

For established software companies with sluggish growth, the path forward is clear: find a way to become relevant in the age of AI. While they may not become the next Harvey, attaching to AI spend can boost growth from 15% to 25%, the difference between a viable public company and a sale to a private equity firm.

For PE firms buying founder-owned software companies, AI is a game-changer. It dramatically accelerates paying down the technical debt and modernizing the tech stack—often the biggest hurdles to growth post-acquisition. This allows firms to unlock value faster and more efficiently than ever before.

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.

For private equity firms acquiring software companies, assessing a target's AI-readiness is becoming paramount. The massive cost to re-architect a legacy platform for the AI era will become a primary valuation factor, making tech diligence the new first screen.

Just as the shift from on-premise to SaaS created a major valuation rerating for software companies, the move to 'agentic AI' will do the same. Companies that successfully become 'agentic' will capture more economic rent, potentially leading to exit multiples higher than the 6-8x revenue seen today.

Recent acquisitions of slow-growth public SaaS companies are not just value grabs but turnaround plays. Acquirers believe these companies' distribution can be revitalized by injecting AI-native products, creating a path back to high growth and higher multiples.

Established SaaS companies with strong, but not explosive, growth will struggle to raise new venture capital. Their path forward involves running a capital-efficient business while aggressively integrating AI to create new tailwinds, or else face a long, slow grind to a modest exit without further investment.