The A.I. Economy Has Unleashed a $3.2 Trillion Deal-Making Surge

Global transaction value has reached its highest first-half level in at least a decade. The boom is powerful, concentrated, and increasingly dependent on the durability of the artificial-intelligence investment cycle.

Category: Strategy. Written by Jaime Garcia, Founder, SnowRock. Published . 10 min read.

In short

The artificial-intelligence boom is no longer confined to semiconductor orders, data-center construction or the soaring valuations of a small group of technology companies. It is reshaping the market for corporate control.

During the first six months of the year, companies and investors announced approximately $3.2 trillion in transactions worldwide, according to Dealogic. That represented a 45 percent increase from the same period a year earlier and the largest volume of first-half deal activity recorded in at least a decade.

The headline figure, however, obscures a more uneven reality.

The number of announced transactions declined slightly, falling to 21,727 from 21,997 a year earlier. The value of those transactions rose dramatically because the market became increasingly concentrated around exceptionally large deals. Forty-four announced transactions exceeded $10 billion, including major acquisitions and private-market capital raises.

The result is a deal-making expansion driven less by a broad recovery in corporate confidence than by a relatively narrow group of large, well-capitalized companies with the balance sheets, market valuations and strategic urgency to act.

An elevated stock market has made equity a more powerful acquisition currency. Expectations surrounding artificial intelligence have encouraged companies to make long-term investments in computing infrastructure, energy, software and technical talent. At the same time, executives increasingly view the current regulatory environment as more receptive to consolidation than those of previous administrations.

These forces have proved strong enough to outweigh concerns that would ordinarily suppress large transactions: tariffs, geopolitical conflict, inflation, volatile energy markets and uncertainty about the eventual profitability of the A.I. build-out.

Many corporate leaders appear to believe that the opportunity to make a transformative move may not remain open indefinitely.

“There is a perception that companies have a window to attempt something transformational, and that the time to act is now,” Matt McClure, global co-head of investment banking at Goldman Sachs, said in an interview.

M&A activity in 2026 is a race for transformational scale

Bankers argue that the current expansion differs from earlier deal-making cycles.

The merger boom preceding the 2008 financial crisis was heavily supported by inexpensive leverage. The surge during the pandemic was enabled by near-zero interest rates, extraordinary liquidity and a wave of speculative capital. The dot-com era was fueled in part by companies using rapidly appreciating shares to purchase growth.

This year's activity is being led primarily by some of the world's largest and best-funded corporations. Many are pursuing transactions intended to alter the direction or economic structure of their businesses, rather than accumulating a collection of smaller assets. Scale itself has become the strategic objective.

The size required to compete among the largest public companies has increased sharply. A company must now be approximately twice as valuable to qualify for the S&P 500 as it needed to be five years ago. Exxon Mobil, once the most valuable corporation in the United States, is now worth only a fraction of the largest members of the group commonly known as the Magnificent Seven.

The widening distance between the market’s largest companies and nearly everyone else has changed the arithmetic of corporate strategy. For an enormous company, a modest acquisition may contribute little to revenue, market share or investor perception. Maintaining strategic relevance increasingly requires larger commitments.

“The definition of scale keeps moving,” said Ben Wilson, co-head of North American mergers and acquisitions at J.P. Morgan. “Companies need to be larger, and the largest companies need increasingly substantial transactions for those deals to have a meaningful effect.”

That dynamic is particularly visible in industries supporting artificial intelligence.

NextEra’s announced $118 billion acquisition of Dominion Energy would create an energy provider positioned to serve the rapidly expanding electricity requirements of A.I. data centers. SpaceX’s $60 billion purchase of Cursor, a developer of code-generation software, would bring advanced artificial-intelligence capabilities inside Elon Musk’s aerospace company.

The strategic logic behind such transactions extends beyond immediate financial returns. Companies are attempting to secure access to scarce electricity, computing capacity, software, engineering talent and infrastructure before those resources become more expensive or fall under the control of competitors.

The A.I. economy is therefore encouraging vertical integration on a scale rarely seen in modern technology markets. Computing companies are becoming energy investors. Industrial businesses are acquiring software capabilities. Infrastructure providers are positioning themselves as indispensable suppliers to the next generation of digital services.

Expansion in an Unusually Uncertain Market

The intensity of the boom is striking because it is occurring against a backdrop of considerable instability.

The war with Iran has increased the risk of disruption to global oil supplies. The White House remains engaged in escalating trade disputes with major European partners. Inflation continues to complicate interest-rate expectations. Constraints involving advanced chips, electricity generation, construction capacity and data-center equipment remain unresolved.

The economics of artificial intelligence are themselves uncertain.

Technology companies have committed extraordinary sums to computing infrastructure, but the timetable for generating sufficient revenue from those investments remains unclear. The industry must still answer fundamental questions about customer demand, pricing, model differentiation and the relationship between technical capability and sustainable profit.

“What makes this cycle unusual is that it is taking place during a period of exceptionally high uncertainty and volatility,” said Jonathan Knee, a professor at Columbia Business School and a senior adviser at Evercore.

Ordinarily, such conditions would cause boards to delay transformative acquisitions. Large deals can take months to negotiate and years to integrate. They also expose companies to shifting financing costs, regulatory intervention and sudden changes in the value of the assets being acquired.

This year, strategic urgency has frequently prevailed over caution.

For some companies, the perceived danger of waiting is now greater than the risk of acting. A business that postpones an acquisition may find that a competitor has secured the relevant technology, electrical capacity or market position first. The rapid development of artificial intelligence has shortened strategic planning cycles and increased the potential cost of hesitation.

Wall Street’s Windfall

The recovery in transaction activity has provided a substantial lift to investment banks, which earn fees by advising companies, underwriting securities and arranging financing.

Bank of America is expected to report that its investment-banking revenue increased 28 percent from the same quarter last year. JPMorgan Chase is expected to post an increase of approximately 10 percent, according to a Jefferies research note.

Those gains will become clearer as major banks report earnings.

The rebound has been particularly valuable after a prolonged period in which higher interest rates, regulatory uncertainty and disagreement between buyers and sellers suppressed transactions. A sustained increase in large acquisitions would restore one of Wall Street’s most profitable business lines.

The recovery, however, has not extended evenly across the financial system.

Private-equity firms accounted for approximately 24 percent of total transaction value, according to Dealogic, down from roughly 34 percent during 2024 and 2025. Many firms remain burdened by companies acquired when borrowing was cheaper and software valuations were higher.

Artificial intelligence has introduced an additional complication. Some software businesses purchased before the emergence of generative A.I. now face questions about whether their products can retain customers, pricing power and technological relevance. The uncertainty has made those companies more difficult to value and, in many cases, harder to sell.

“So far, activity has not reached the pace that many in the market initially expected,” Mr. McClure said.

The divide is becoming increasingly pronounced. Large corporations with abundant cash and valuable shares are pursuing strategic acquisitions. Private-equity firms dependent on leverage, refinancing and predictable exit valuations remain constrained.

The Public Markets Reopen

The market for initial public offerings has also revived, led by companies connected to artificial intelligence, data centers and defense technology.

Madison Air Solutions, whose cooling systems serve data-center operators, raised $2.23 billion in its public offering. Cerebras, a Silicon Valley manufacturer of A.I. processors, raised $5.55 billion. SpaceX raised more than $75 billion in the largest initial public offering on record.

Together with other listings, those offerings increased the value of United States I.P.O.s to approximately $155 billion during the first half of the year. That was the strongest first-half result since 2021, when special-purpose acquisition companies and other speculative vehicles poured into the public markets.

Bankers believe additional A.I.-related issuers will attempt to follow. SK Hynix, the South Korean memory-chip manufacturer, is preparing to raise approximately $28 billion through a United States listing.

The reopening of the market is important not only because it allows companies to raise capital. Successful public offerings create valuations that can be used to price private assets, compensate employees and finance future acquisitions. They also provide venture-capital and private-equity investors with a path to return money to their own backers.

Yet the early trading results have been mixed.

SpaceX shares have remained above their $135 offering price but have traded with substantial volatility. After opening near $150 during the first minutes of public trading, the shares closed at $148 on Wednesday.

Other newly listed companies have fallen below their offering prices. They include Cerebras, Fervo Energy and X-Energy, two businesses seeking to supply power to data centers. Approximately one-third of companies that went public during the second quarter are now trading below their offering prices, according to Renaissance Capital.

Matt Kennedy, a senior strategist at the firm, said the performance was broadly consistent with the historical behavior of newly public companies.

“There are many examples of offerings generating intense initial interest and then losing momentum,” he said. “At the same time, some of the market’s more speculative investments are continuing to hold up.”

Can Demand Catch Up?

The durability of the deal-making cycle ultimately rests on a question that remains unanswered: whether the economic value created by artificial intelligence will justify the capital committed to it.

The largest technology companies are spending tens of billions of dollars on chips, data centers, energy contracts and model development. Suppliers are expanding factories and electrical infrastructure in anticipation of sustained demand. Investors are assigning premium valuations to companies positioned anywhere along the A.I. supply chain. For that to continue, the revenue will eventually have to catch up with the spending.

The Magnificent Seven helped drive the S&P 500 to its strongest second quarter in six years, although shares of the group fell approximately 9 percent in June. The divergence reflects a market that remains convinced of artificial intelligence’s long-term importance while becoming more selective about prices, timelines and execution.

Geopolitical conflict, inflation and trade policy could still interrupt the expansion. A slowdown in corporate adoption of A.I. could weaken demand for infrastructure. Disappointing public-market debuts could cause investors to become more conservative. Regulatory opposition could also return if consolidation begins to threaten competition or national-security interests.

For now, the strategic logic behind the boom remains intact.

The largest companies possess unprecedented financial resources. Artificial intelligence is altering the competitive position of businesses across nearly every major industry. Energy, computing infrastructure, technical talent and proprietary data are becoming more valuable. Executives increasingly believe that waiting carries its own substantial risk.

That combination has produced one of the most consequential periods of corporate deal-making in a generation.

“I expect the A.I. theme to continue driving activity through the end of the year,” Mr. Kennedy said.

The greater uncertainty is what happens after that: whether this year’s transactions become the foundation of a more productive economy, or the most expensive evidence yet of how far companies were willing to go to secure a place in the artificial-intelligence era.

What this means for the mid-market

Strip the zeros off the headline and a familiar pattern remains. The largest companies are paying enormous premiums to own the scarce things outright: the compute, the energy, the models, the talent. The instinct is sound, and it is not the exclusive property of companies with a hundred billion dollars to spend. The version that fits a mid-market balance sheet is smaller but similar in shape. A company should own the narrow capability that is genuinely its own, rent the parts that are commodities, and be careful not to read activity at the top of the market as an instruction to imitate it.

The operators who do well out of this cycle will be the ones who knew which scarce thing actually mattered to the business, bought or built exactly that, and measured the result in their own numbers rather than the market's. The frenzy is worth understanding as a signal about where scarcity is moving. For most companies it is not a plan. The plan is quieter and cheaper, and it is available this quarter, whatever the trillion-dollar market decides to do next.