AI-Powered M&A LEGAL EAGLE SPOTLIGHT Artificial intelligence has been compared to a brilliant but overconfident junior professional: fast, persuasive and wrong just often enough to cause serious problems if people stop thinking critically. That description fits its current role in mergers and acquisitions, particularly in banking and financial services. AI is already changing which deals are pursued, how quickly transactions progress, and how much value survives after closing. It enables deal teams to analyze more data in less time than ever before. At the same time, it can accelerate bad assumptions, expose weak governance and create new lines of inquiry for regulators. Understanding how to use AI as a disciplined tool — not as an oracle — is now a core competency for banks, credit unions and fintechs active in the deal market. AI as a Force Multiplier — On Both Sides of the Ledger In the M&A context, AI functions as a force multiplier. It does not change a bank’s strategic objectives; it alters the speed and scale at which those objectives are pursued. When underlying governance, data practices and integration discipline are strong, AI enhances those strengths. When they are weak, AI tends to magnify the weaknesses. What Bankers Need to Know Now By Spencer Fane LLP 8 | The Show-Me Banker Magazine
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