The use of AI in the M&A process is still in its infancy. Only 3 percent of companies use agentic AI solutions, while 13 percent use generative AI in their operations. The majority are in transition: 35 percent are piloting agentic AI applications or plan to use them within the next twelve months, while 31 percent are doing the same for generative AI. Private equity and family office investors are slightly ahead, but are also predominantly in the early pilot phases. Seventy-four percent of respondents cite poor data quality and availability as the biggest hurdle.
AI is most widely used in due diligence: 77 percent of companies and 70 percent of PE firms use technologies to analyze large data rooms and documents. Respondents also see clear advantages for the post-closing phase: 83 percent expect AI to improve the integration and separation process.
At the same time, there is a growing expectation that AI itself will become a driver of M&A activity: 77 percent are convinced that technological transformations – and AI investments in particular – will be a key driver of transactions in the coming years. Nevertheless, skepticism remains high: 71 percent warn that the current AI hype is leading to unrealistic company valuations, and 67 percent see the complexity of integrating AI systems as a relevant obstacle to deal-making. "The pressure to transform is enormous. Those who do not use AI will lose momentum and competitiveness. Due diligence in particular shows that artificial intelligence speeds up processes and improves the quality of data analysis. In the coming years, this potential for efficiency will increase exponentially once again," says Michael Buhl.