If 2024 was a year of hesitation under high rates, 2025–2026 looks like a sharp pivot: M&A is back in full motion, fueled by more workable valuations, expectations of lower borrowing costs, and most of all AI pulling entire ecosystems forward.

But there’s a clear paradox: deals are bigger and more frequent… while “free” capital is getting tighter. Executives want to buy new capabilities, yet budgets are being squeezed by AI capex, R&D, dividends, buybacks, and the “must-pay” costs of operating in a world shaped by geopolitics, trade shifts, and economic fragmentation.

2025 Surged: strong rebound, but totals vary because each report measure differntly

Across major reports, the direction is consistent: global M&A value rose sharply in 2025 and moved into record territory.

PitchBook estimates total global M&A value climbed nearly 40% to about $4.9 trillion in 2025, describing one of the strongest years by both deal count and overall value. Some analyses also note that activity surpassed the prior peak around $4.86 trillion set in 2021, with a strong contribution from large transactions.

The key takeaway: numbers differ by dataset and scope, but the trend is aligned M&A accelerated again, and it accelerated through big deals.

AI isn’t a wave that hits just one sector. It touches nearly everything at once: software, data, cybersecurity, chips, digital infrastructure, energy, and even industrial real estate through data centers.

This is why many companies are choosing:
buy missing capabilities (acquire) rather than build everything from scratch especially in AI software, data assets, infrastructure, semiconductors, and deployment know-how. In a fast-moving cycle, speed matters.

A number that captures the scale of the race:

• From Q1 2024 to Q3 2025, the capex of major U.S. hyperscale cloud providers averaged roughly $760 million per day.

When spending moves at that pace, “build” often becomes too slow and “buy” becomes the shortcut to staying competitive

As abrupt trade-policy shocks gradually become more predictable, the market shifts from relief → confidence → FOMO (fear of missing out). That psychological swing is one reason large transactions return: once dealmakers believe the window is open, they rush to secure assets that may be unavailable later.

Still, confidence isn’t absolute. Sentiment indicators have improved meaningfully, yet remain below long-term averages signaling a recovery that’s real, but cautious.

Here is the 2026 contradiction in one line: M&A demand is strong, but budget flexibility is weak because AI capex, R&D, dividends, buybacks, and strategic reinvestment compete for the same pool of cash.

Some industry analysis points out that the share of capital allocated to M&A fell to multi-decade lows in 2025, as companies redirected cash toward shareholder returns and heavy investment programs.

In plain terms: it’s not that companies don’t want to buy. It’s that they must prove more than ever that each deal clearly creates value.

As traditional funding becomes more constrained, private equity and private credit play a larger role in financing and shaping transactions.

• Private capital is increasingly central to M&A execution.

• Borrowers look to private credit for speed and structural flexibility.

• Sovereign wealth funds and large pools of institutional capital show up more often as lead investors, not just passive allocators.

Private credit is frequently described as a fast-growing asset class, and many forecasts expect it to expand significantly through 2030—broadening the financing options available for large deals.

AI is not just software. It is power + land + chips + infrastructure.

As adoption accelerates, demand for compute surges and that spills directly into:

• data centers and digital infrastructure

• electricity generation and transmission

• cooling and industrial equipment

• semiconductors and hardware optimization

• cybersecurity and enterprise platforms

Industry estimates suggest that by 2030, the world could add tens of gigawatts of new data-center capacity more than doubling recent build-out rates. That scale implies enormous investment needs and a strong incentive to acquire rather than build, whenever time-to-market is critical.

In 2026, M&A is not simply “getting bigger by buying more.” It is:

• buying AI capabilities faster than competitors,

• defending against technological disruption,

• allocating capital intelligently when AI capex absorbs budgets, and

• using new funding routes as private markets expand.

The market is “accelerating but selective”: there will be plenty of deals, but only the ones that create undeniable value will cross the finish line.