How Will ChatGPT and AI Impact Mergers and Acquisitions?

Let’s get one thing straight: M&A is (and always will be) a complex and challenging field. It involves significant due diligence, negotiation, compromise, strategic thinking, and a roller coaster of emotions. However, with the advent of ChatGPT/AI, M&A transactions will soon become easier, faster, and more efficient.

But what about the human element of M&A? Will AI replace the need for human expertise and intuition? Not a chance! While AI can automate certain tasks, it can’t replace the strategic thinking and negotiation skills critical to successful M&A. Instead, AI should be seen as a tool to help M&A professionals work more effectively and efficiently.

5 Potential Practical Applications of AI in M&A

Deal Sourcing

AI has already impacted deal sourcing, as I have used ChatGPT to undercover potential buyers for a current deal. Historically, deal sourcing has been a highly manual process involving networking, cold calling, and other forms of outreach. With AI, deal sourcing will become automated and more efficient. AI algorithms can be used to analyze data from a variety of sources — such as news articles, social media, and online forums — to identify potential buyers or acquisition targets. Thus, M&A professionals will be able to quickly identify opportunities that might otherwise have been overlooked.

Due Diligence

Another way AI is set to transform M&A is by improving due diligence. Due diligence has historically been a time-consuming, laborious process of sifting through mountains of data to identify potential risks and opportunities. With AI, due diligence can be streamlined with increased accuracy. AI algorithms can be used to analyze data from multiple sources, identify patterns and anomalies, and flag potential issues before they become deal breakers. This can save significant time, helping complete deals more quickly and smoothly.


AI-powered chatbots can be used to answer basic questions and provide information to potential buyers and sellers, streamlining the deal-making process and reducing the workload on M&A professionals.

Virtual Data Rooms

AI algorithms can be used to manage and analyze the vast amounts of data involved in M&A transactions, helping ensure that data is secure, easily accessible, and properly organized.

Predictive Modeling

AI algorithms can be used to model the future performance of potential acquisition targets, based on historical data and other factors, helping M&A professionals make more informed decisions about which targets are worth pursuing.

Challenges & Risks of AI in M&A

Of course, the use of AI in M&A also has potential challenges and risks. For example, possible data breaches and security breaches, as well as hidden bias and inaccuracies in the algorithms used by AI systems, represent potential dangers. These need to be carefully managed and mitigated to ensure that the benefits of AI can be fully realized.

In conclusion, the M&A industry is about to enter a new era of innovation and efficiency, thanks to the power of AI. While there are certainly risks and challenges associated with the use of AI in M&A, the potential benefits are enormous. Leveraging AI, M&A professionals can work smarter, faster, and more effectively, and help clients make better decisions. I for one, am ready to embrace the AI revolution and see where it takes us.

As you consider selling your business, we encourage you to speak with an experienced M&A advisory firm that can increase the odds of your transaction closing successfully. Kinected Advisors has an 85% success rate in our transactions, well above the 20–30% industry average. We would love to speak with you about getting you the best possible deal for your business.

Kevin Berson

Kevin Berson

Mergers and Acquisitions (M&A) Advisor | Business Broker

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