Morgan Stanley analyst Wally Cheng sees a broad surge in artificial intelligence-related mergers and acquisitions unfolding across industries. The deals span multiple sectors and vary wildly in size, from small strategic purchases to major corporate moves. Cheng warns this activity could lock in elevated valuations but carries serious risks of overpayment and the 'winner's curse' for companies making these acquisitions.
Deal Frenzy Spans Industries
It's not just tech giants driving this wave. Cheng observes companies in healthcare, finance, and manufacturing all scrambling for AI capabilities. Smaller firms and large corporations alike are jumping into the market, creating a competitive free-for-all for AI assets. The diversity of industries involved shows how urgently businesses view artificial intelligence as critical to their future.
This isn't a niche trend confined to Silicon Valley. Cheng notes the activity has touched sectors where AI was once an afterthought, forcing companies to chase acquisitions just to keep pace. But the rush often outpaces careful strategic planning, with many buyers acting on fear of falling behind rather than clear integration roadmaps.
Valuations Climb on Momentum
As more companies enter the bidding wars, prices for AI assets keep rising. Cheng points out that sustained dealmaking could prop up these high valuations longer than many expect. The market's enthusiasm for AI is creating a self-reinforcing cycle where recent high prices set the floor for the next round of deals.
That momentum might feel justified now, but Cheng cautions it masks growing risks. Companies paying premium prices face pressure to deliver immediate results, often skipping thorough due diligence. The analyst sees valuations becoming detached from actual business performance, making the market increasingly fragile.
Overpayment Threat Looms Large
The most immediate danger for acquirers is paying too much. Cheng explains how competitive bidding for AI assets can trigger the 'winner's curse'—when the highest bidder overestimates an asset's value. That leaves companies owning technology that fails to deliver expected returns, dragging down shareholder value.
With AI still evolving, buyers struggle to accurately gauge long-term value. Cheng notes many overpay because they confuse market hype with strategic necessity. The pressure to move quickly turns acquisitions into expensive bets rather than calculated investments, creating financial vulnerabilities that may not surface for months.
How many companies will get burned by their AI buying spree before the frenzy cools remains the urgent question for investors watching the deal flow.
