For the first time, artificial intelligence has replaced bankers on a sale process conducted by private equity firm CVC Capital Partners. The algorithm was used to run the auction and analyze bids for a mid-market company, according to people familiar with the matter.
How the AI-Driven Process Worked
The AI system handled the entire sale process, including identifying potential buyers, managing data rooms, and evaluating offers. It replaced the traditional role of investment bankers who typically advise on such transactions. The process was used for the sale of a company with an enterprise value of around €200 million.
According to one person involved, the AI was able to analyze bids and provide recommendations to CVC, significantly reducing the time and cost associated with human advisors. The technology was developed by a fintech startup that specializes in using machine learning for M&A processes.
Implications for the M&A Industry
This development marks a significant shift in the mergers and acquisitions advisory landscape. While AI has been used for due diligence and data analysis in the past, this is the first time it has fully replaced bankers in running a sale process. Industry experts suggest that this could lead to reduced fees for investment banks and a greater reliance on technology in dealmaking.
“This is a game-changer for the M&A industry,” said a source close to CVC. “It shows that AI can handle complex processes traditionally done by humans, potentially saving millions in advisory fees.”
Reactions and Future Outlook
CVC declined to comment on the specific transaction. However, the move has sparked debate among bankers and lawyers about the future role of human advisors. Some argue that AI cannot replicate the strategic advice and negotiation skills of experienced bankers, while others see it as an inevitable evolution.
The use of AI in M&A is expected to grow, particularly for mid-market deals where fees are lower and efficiency gains are more critical. Larger, more complex transactions may still require human expertise, but the boundaries are being tested.
