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.

Private Equity value creation has evolved. In the 2000s, it was driven by leverage; in the 2010s, by digital transformation. Today, AI serves as the new foundational "operating system" for growth, embedding intelligence into every process, contract, and customer touchpoint to drive returns.

The rapid evolution of AI means traditional private equity M&A timelines are too slow. PE firms and their portfolio companies must now behave more like venture capitalists, acquiring earlier-stage, riskier AI companies to secure necessary technology before it becomes unaffordable or obsolete.

AI's ability to reduce the cost of software development erodes competitive moats, threatening the multiple-expansion strategy of growth-focused PE firms. However, firms like Constellation Software, which buy and hold for free cash flow (FCF), are better positioned. AI can simultaneously increase net retention and lower operating expenses, directly boosting the FCF that drives their returns.

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.