The M&A environment for private equity is transforming at a rapid pace. Exits are no longer determined primarily by market conditions or timing. Instead, they hinge on a company's ability to demonstrate its readiness for AI-driven change. The sharp drop in software stock values this year, referred to as the 'SaaSpocalypse,' has forced firms to rethink how they build and maintain competitive advantages. Companies must now prove that their edge can endure in an era of evolving artificial intelligence.
Proving AI resilience
Investors are no longer satisfied with vague or general claims about productivity improvements. They are looking for concrete proof that a business holds defensible advantages. This could include exclusive data sets, a strong customer base, regulatory know-how, or physical assets that cannot be easily replaced by technology. In addition, companies need to show they are not just reacting to AI but actively using it to strengthen their position in the market.
LDC’s sale of the Building Cost Information Service serves as a case in point. The firm’s extensive proprietary construction data made it a valuable asset in the eyes of buyers. Similarly, Graphite Capital’s exit involving Beacon in the life sciences sector succeeded because the company had already woven AI into its operational workflows. These transactions highlight a clear shift in what investors prioritize when evaluating potential acquisitions.
Buyers demand certainty
With the unpredictable impact of AI on long-term value, buyers are becoming more selective and cautious. They want to see direct and early engagement with company management teams. This helps them assess whether leadership is prepared to handle the next wave of technological disruption. LDC’s sale of the Sedex Information Exchange demonstrates this approach. The process focused on a small but carefully chosen group of buyers, which accelerated the transaction and created a sense of competition among them.
In an AI-driven environment, time is a crucial factor. Management teams that can show they are actively adapting to AI trends—whether through investment in new tools, protection of proprietary assets, or strategic adjustments—stand a better chance of attracting serious interest from potential buyers.
New value in old assets
Not every sector is struggling under the weight of AI transformation. Some industries are actually gaining strength. Sectors such as infrastructure, engineering, and asset-backed industries are proving to be resilient. These businesses often have steady revenue streams and capabilities that are not easily replicable or automated. Recent exits involving companies like Senior, GMC Group, and Ashcourt Group reflect this trend, showing how traditional assets are finding renewed appeal in the current market.
High-quality software and data companies remain sought after, but only if they can prove they have a durable competitive edge. Deals such as Geomatik's acquisition by Axcel and TradingHub's sale to Nordic Capital demonstrate how firms that are well-prepared for AI can still attract significant interest and strong valuations.
The importance of relationships
Navigating this evolving landscape requires a focus on building strong relationships in dealmaking. At Investec, we work closely with private equity firms and their portfolio companies throughout the entire investment lifecycle. As the AI landscape continues to shift, we adapt how deals are prepared, promoted, and evaluated.
The firms that achieve successful exits are not waiting for the market to improve. Instead, they are adjusting their strategies to the current reality. They are creating compelling AI investment cases, targeting the right buyers, and emphasizing the certainty of execution. In this environment, the real value lies in identifying the best possible outcome—not just in closing a deal.