Artificial intelligence is no longer a speculative bet for Big Tech it is already driving growth across cloud, advertising and enterprise software.
But the very scale of investment required to sustain that momentum is still emerging as the industry’s biggest fault line.
Earnings from Microsoft, Alphabet, Meta Platforms and Amazon showed that AI is boosting revenues across the board.
At the same time, those gains are being matched and in some cases overshadowed by an unprecedented surge in spending on data centres, chips and energy infrastructure.
The result is a growing disconnect: companies are proving AI demand is real, but investors are still questioning whether the economics of the boom will ultimately add up.
The four companies together spent about $410 billion on capital expenditures last year and are expected to spend more than $670 billion in 2026, WSJ said in a report.
Estimates from Morgan Stanley suggest that total spending on AI infrastructure could reach $2.9 trillion between 2025 and 2028, underscoring the scale of the bet.
Rising costs and supply constraints add pressure
The cost of building AI infrastructure is rising alongside demand.
Shortages of key inputs including memory chips, fibre-optic networks, power supply and land for data centres are pushing companies to either wait or pay significantly more.
“We’re seeing constraints across the board. The hyperscalers who are trying to get into the gold mine they’re having to wait, or spend more to get in,” said Brent Thill, a technology analyst at Jefferies.
He added that while suppliers of infrastructure are benefiting, companies assembling AI systems are facing mounting cost pressures.
This dynamic is creating a split within Big Tech between firms that have built capabilities across the AI stack from chips to cloud and those that remain reliant on partners.
John Belton, portfolio manager of the $1.4 billion Gabelli Growth Fund, said the latest earnings underline that divide.
“The moral of the story is, cloud businesses are accelerating, and you’re seeing particular strength behind vertical integration,” Belton said.
He added that companies with end-to-end control across the AI stack from chips to models and applications are outperforming peers.
“That means, if you’re a cloud services company, and you have a full suite of computing services, from the chip down to the model, down to the application, you’re doing much better, versus if you’re just building data centers and running more third-party models.”
Alphabet shows how AI investment can pay off
Against that backdrop, Alphabet’s latest results offered a clear example of how vertical integration in AI is beginning to translate into financial performance.
The Alphabet reported an 81% surge in net income, with growth led by its cloud and artificial intelligence businesses, and shares were trading up by almost 6% during premarket hours on Thursday.
Its Google Cloud unit generated $20 billion in first-quarter revenue, marking a 63% increase from a year earlier, while the company’s backlog of customer commitments climbed sharply to about $460 billion.
Chief Executive Sundar Pichai said AI is “lighting up every part of the business,” underscoring how deeply the technology is now embedded across the company’s product ecosystem.
The performance reflects Alphabet’s ability to control multiple layers of the AI stack from its proprietary Tensor Processing Units to its Gemini models and cloud infrastructure a combination that analysts say is increasingly proving advantageous.
In a notable strategic shift, the company said it would begin selling its in-house chips directly to select external customers, marking its first meaningful step toward monetising that hardware beyond its own cloud platform.
Alphabet also raised its capital expenditure outlook for 2026 to between $180 billion and $190 billion, partly driven by investments in data centre capacity and energy infrastructure.
Analysts said the strength of Alphabet’s earnings has helped ease concerns around its rising spending.
“Investors forgive Alphabet’s huge capital expenditure because of its strong earnings,” XTB’s Kathleen Brooks said.
“Alphabet has proven that its AI investment is paying off, and its AI products and cloud computing businesses are making a meaningful difference to its bottom line,” she said, adding that Alphabet’s AI product offering is also easy to understand and built around a coherent strategy.
Meta’s aggressive spending fuels debate
Meta Platforms also delivered strong top-line growth, with revenue rising 33% in the first quarter.
However, it increased its capital expenditure guidance by $10 billion, to a range of $125 billion to $145 billion, citing higher component prices and additional data centre costs, sending shares down by almost 9% during premarket hours on Thursday.
Chief Executive Mark Zuckerberg defended the spending, though he acknowledged the company does not yet have “a very precise plan” for how each AI product will evolve.
The scale of investment raised concerns among analysts as it also came along with the company flagging regulatory challenges, warning that scrutiny in the United States and Europe could materially impact its business.
A slight decline in daily active users during the quarter added to investor unease.
Matt Britzman, an analyst at Hargreaves Lansdown, said investor concerns over Meta’s rising capital expenditure may be overstated, noting that much of the increase reflects higher memory costs rather than a fundamental shift in the company’s investment strategy.
However, others remained cautious.
Ipek Ozkardeskaya of Swissquote said Meta’s expanding spending plans raise questions about its reliance on a single, internally driven ecosystem.
“Meta is essentially a single bet, investing heavily in its own ecosystem,” she wrote in a note, contrasting the approach with peers that have more diversified strategies.
“At this stage, Meta looks like a more concentrated and riskier play, especially as competition intensifies.”
Amazon leans on cloud strength despite cash flow pressure
Amazon reported strong growth in its cloud business, with Amazon Web Services revenue rising 28%, the fastest pace in two years, to $37.6 billion.
Chief Executive Andy Jassy said demand for AI applications is driving customers to keep their data and workloads within AWS.
Amazon confirmed its 2026 capital expenditures (capex) are set to reach a record $200 billion this year, largely directed toward data centers and proprietary silicon like the Trainium3 chip.
While a $200 billion price tag might typically spook the market, the efficiency within the Amazon Web Services (AWS) segment silenced the bears.
Shares of Amazon rose 2.7% in after-hours trading, even as the company disclosed a sharp increase in spending on property and equipment, largely tied to its artificial intelligence investments.
Capital outlays rose by $59.3 billion from a year earlier, leaving the $2.8 trillion company with annual free cash flow of just $1.2 billion a marked decline from levels seen before the AI investment cycle began.
Microsoft balances growth with competition concerns
Microsoft reported steady performance in its cloud segment, with Azure revenue rising 40% in line with expectations.
The results helped ease concerns that slower adoption of its Copilot tools and reliance on OpenAI could erode its early lead in the AI race.
The company said it expects cloud growth to accelerate further, even as it continues to increase spending on infrastructure.
It told investors that capital expenditures for the year will reach $190 billion due to soaring memory costs.
However, management indicated that Azure revenue could maintain strong momentum through the year, supported by growing demand for AI services.
AI optimism meets investor unease
Lee Sustar of Forrester Research said the promise of AI leadership is pushing companies to take increasingly aggressive bets, forcing markets to weigh potential long-term gains against near-term financial strain.
“Most tech executives have approached the AI boom with calculated irresponsibility. They know the current returns can’t justify their spending, but their faith in a future in which AI drives the global economy means they won’t rein it in,” a The Wall Street Journal column noted.
“The executives are, in a way, the corporate equivalents of graduate students running up credit-card debt, certain their lucrative careers will pay it off. They just better not drop out or else end up working at Starbucks,” it added.
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