Morgan Stanley says dealmakers are ignoring the chaos and buying anyway, even as AI creates winners and losers faster than most boards can track.

The Summary

  • Companies are still doing M&A despite geopolitical volatility, energy market swings, and AI's uneven impact across sectors
  • The "uneven effects" language matters: AI isn't lifting all boats, it's creating a spread between companies that can deploy it and those drowning in the transition
  • Dealmakers are treating uncertainty as background noise, not a stop sign

The Signal

Morgan Stanley's Tom Miles told Bloomberg TV that acquisition activity continues even as three major forces reshape corporate value. First, the AI boom is creating massive valuation gaps. Companies with real AI deployment capabilities trade at premiums while laggards get compressed. That spread drives M&A. Second, energy markets remain volatile, which normally freezes dealmaking, but not this cycle. Third, geopolitical uncertainty, the perennial deal killer, is getting shrugged off.

What Miles calls "uneven effects from the rise of artificial intelligence" is the polite banker way of saying some companies are building agent workforces that compound productivity while competitors are still figuring out chatbots. That gap is only widening. The companies falling behind can't catch up organically, so they buy. The companies pulling ahead need talent and IP, so they buy. Different motivations, same result: deals get done.

The energy risk is the sleeper variable. AI infrastructure is power-hungry. Data centers need stable, cheap electricity. Companies making bets on AI capabilities are also making bets on energy access. That's showing up in deal terms, due diligence, and valuation models in ways that weren't relevant 24 months ago.

The Implication

If you're running corporate strategy, the message is clear: sitting still is the riskiest move. The M&A market is pricing in AI capability gaps right now. Companies that can't build agent infrastructure internally will pay premiums to acquire it. Watch for deals where the headline rationale is "talent" or "technology" but the real driver is buying 18 months of AI deployment time. And if you're evaluating targets, energy exposure just became a line item that matters.

Sources: Bloomberg Tech | Bloomberg Tech