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.

The reported Anthropic-Blackstone JV signals a larger private equity strategy. PE firms aren't just using AI for cost-cutting within portfolio companies; they're leveraging it as a tool to identify and consolidate struggling SaaS businesses, capitalizing on the "SaaSpocalypse" to buy distressed assets.

Recognizing that enterprises struggle to deploy AI effectively, some PE firms are acquiring traditional businesses. Their strategy is to directly own the change management process, forcing AI implementation to unlock latent value that the original management couldn't capture on their own.

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.

Silver Lake's reported talks to acquire Workday represent a massive private equity bet on overhauling legacy SaaS giants with AI. The strategy suggests a belief that these complex, capital-intensive transformations are better executed away from the quarterly pressures and public scrutiny of the stock market.

For an existing SaaS company to become a credible AI player, it must do more than add features. It requires a fundamental reinvention, akin to 'open heart surgery.' This means re-architecting to be agent-first, shifting to outcomes-based pricing, and even rebranding—as seen with Intercom becoming Finn—to attract new funding.

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.

Private equity firms are aggressively implementing AI across thousands of their portfolio companies. This isn't just for efficiency; it's a strategy to boost profitability and make these companies, particularly struggling SaaS businesses, more attractive for exit in a tough market. This creates a massive, real-world testbed for enterprise AI.

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.