Tony Kim, co‑president of investment banking at Centerview Partners, told Bloomberg Markets that rapid advances in artificial intelligence are reshaping how transactions are structured. He observed that AI tools are shortening due‑diligence cycles and prompting banks to rethink traditional fee models. The shift could compress timelines that once stretched months into weeks.

Kim explained that AI's ability to parse massive data sets is prompting buyers and sellers to bundle assets differently, often favoring platform‑centric deals. This trend is already influencing valuation benchmarks, as parties rely on algorithm‑driven insights rather than purely historical comparables. Firms that integrate AI early may command premium pricing in competitive auctions.

Industry observers note that the change is not merely technical but cultural, forcing banks to train deal teams in data science and to partner with niche AI providers. As AI becomes a standard part of the deal toolbox, firms that fail to adapt risk losing market share to more agile competitors. The immediate impact is a faster, more data‑rich M&A environment.