Global M&A has surged past $1.2 trillion in the first quarter of 2026, according to data from London Stock Exchange Group—but the headline masks a more important shift.
Deal volume is falling, volatility remains elevated, and yet companies are committing more capital than at any point in recent years. That contradiction is the story. This is not a recovery in confidence across the market. It is capital moving decisively toward a narrow group of perceived winners—primarily in artificial intelligence—while the rest of the market is being left behind.
The result is a deal cycle that looks strong on the surface, but is becoming increasingly selective underneath.
A market driven by concentration, not recovery
The structure of the quarter tells you everything about where capital is going.
The number of deals fell by 17% compared to the same period last year, yet total deal value rose by 26%. That divergence is not a coincidence. It reflects a market where fewer transactions are carrying significantly more weight—and where that weight is concentrated in a narrow set of sectors.
Artificial intelligence sits at the centre of that shift. Four of the six largest deals were tied directly to AI, including a $110 billion funding round for OpenAI and a $30 billion raise for Anthropic. Increasingly, these are not traditional acquisitions but equity stake investments, allowing companies to secure exposure to AI without taking on full integration risk.
At the same time, the scale of capital required to compete in AI is becoming clearer. Companies such as Oracle are already committing heavily to infrastructure, with rising investment in data centres and computing capacity beginning to reshape cash flow dynamics. That reinforces the broader trend: access to AI is no longer just a strategic priority—it is becoming a capital-intensive commitment.
What is changing is not just what companies are buying, but how capital is being allocated. M&A is becoming more targeted, more strategic, and more closely aligned with long-term positioning in technology.
At the same time, the opposite dynamic is emerging elsewhere. Companies seen as vulnerable to AI disruption are attracting less interest, facing weaker valuations, and becoming harder to transact. The result is a widening gap in how different parts of the market are being priced.
This is the critical shift. Capital is no longer flowing evenly across sectors—it is concentrating into a small group of perceived winners. And as that concentration deepens, valuation gaps are likely to widen further, reinforcing the divide between companies that are seen as part of the next growth cycle and those that are not.
Why volatility is no longer a barrier
In previous cycles, geopolitical instability and market swings would have slowed dealmaking. This time, they have not.
Despite conflict in the Middle East and continued volatility in valuations, deal activity has held up. Advisers at institutions such as Deutsche Bank and UBS point to a clear behavioural shift: companies are no longer waiting for conditions to improve—they are executing within them.
That change reflects something deeper than resilience. In sectors where competitive advantage is consolidating quickly—particularly in artificial intelligence—waiting is no longer a neutral decision. It carries the risk of falling behind in areas that may define future market leadership.
This is why volatility is no longer acting as a brake on dealmaking. The cost of inaction has increased. In many cases, it now outweighs the risk of acting in uncertain conditions.
The same dynamic is visible in cross-border M&A, which has risen sharply to record levels. The United States remains the primary destination for capital, followed by the United Kingdom, as companies look to diversify exposure and secure a presence in stronger markets. The combination of Unilever’s food business with McCormick reflects how dealmaking is increasingly being used not just to grow, but to reposition—balancing portfolios across geographies and aligning businesses with where demand and valuation strength are expected to hold.
What this means for markets, valuations, and strategy
The most important takeaway from this quarter is not the $1.2 trillion figure—it is what sits beneath it.
This is not a broad-based recovery in M&A. It is a reallocation of capital into a narrow set of companies perceived to be aligned with the next phase of technological growth. In effect, it is a structural repricing of the market.
That concentration has direct consequences. It supports higher valuations for AI-linked businesses while placing sustained pressure on companies that sit outside that narrative. The result is not just a gap, but a divergence—one that is increasingly persistent rather than cyclical.
Over time, that dynamic becomes self-reinforcing. Capital flows toward perceived winners, valuations follow, and access to further capital becomes easier. Meanwhile, companies that fail to demonstrate relevance to AI or high-growth themes risk becoming structurally discounted, regardless of their underlying performance.
For corporate leaders, this changes the role of M&A. It is no longer simply a tool for expansion. It is a way of securing position in a market where the definition of growth is shifting—and where missing the next phase of that growth carries long-term consequences.
For investors, it creates a more complex landscape. Opportunity and risk are no longer evenly distributed across sectors. They are increasingly tied to whether a company is seen as part of that future—and whether it can sustain that perception.
The surge in deal value is real, but it is not broad-based. And in a market where capital is becoming more selective, the defining question is no longer whether deals are happening—it is whether companies are positioned to attract capital at all.
Capital is not returning to M&A broadly—it is concentrating into the companies seen as defining the next era of growth.
