Key Points
Recent earnings reports from Alphabet, Amazon, Meta, and Microsoft showed that AI demand remains strong across their core businesses.
Alphabet appeared to deliver the strongest near-term payoff from AI, while investors remain concerned about rising capital expenditures at the other companies.
With combined AI infrastructure spending projected to exceed $700 billion in 2026, all four tech giants must prove that returns can scale alongside mounting costs.
Earnings for Alphabet (GOOGL), Amazon (AMZN), Meta Platforms (META), and Microsoft (MSFT) came in last week. Each company showed strong growth and gigantic investments in AI.
The four Big Tech companies spent over a combined billion dollars a day in 2025 – about $400 billion total for the year – on capital expenditures (“capex”).
Most of that went toward the “AI build-out,” including data centers, chips, servers, networking equipment, as well as the power and cooling infrastructure needed to support AI workloads.
Spending on this kind of scale invites worrying historical comparisons…
Back in December, Goldman Sachs suggested that if 2026 capex reached $700 billion, it would match the peak of the late-1990s “dot-com” investment boom (measured as a proportion of gross domestic product).
Well, it turns out that 2026 capex is expected to be… more than $700 billion. So, how do investors feel about dot-com levels of AI spending?
These companies are building the cloud platforms, ad systems, search products, and enterprise tools that will determine AI’s economic value – and who captures it.
But investors have moved beyond the hype.
They’ve begun rewarding companies that can show a clear link between AI spending and revenue… while pulling away from big spenders where earnings growth is under pressure.
That’s what made this recent flurry of Big Tech earnings so important.
Altogether, the results give us one of the clearest windows into whether the AI build-out is starting to pay off – and whether the returns are becoming visible enough to justify the next wave of investment.
Here’s a breakdown of how each company fared during the quarter and how it will likely impact the AI trade moving forward.
Alphabet: AI Payoff Is Showing Up in Cloud and Search
Alphabet entered earnings with the cleanest setup of the four. Investors wanted to know whether AI was strengthening Google’s core businesses – or starting to undermine them.
The answer, at least this quarter, leaned strongly positive.
Revenue rose 22% year over year to $109.9 billion. Operating income climbed 30% to $39.7 billion. And net income jumped 81% to $62.6 billion, though that figure was helped by a large gain on Alphabet’s equity investments.
More important for the AI trade, Google’s two most important moneymaking engines both accelerated…
Search and other advertising revenue rose 19% to $60.4 billion. Management said AI Overviews and AI Mode are increasing usage, with Search queries at an all-time high.
The company also says AI is improving ad relevance, advertiser tools, and monetization across longer, more complex searches.
Then, there was Cloud.
Google Cloud revenue surged 63% to $20 billion. Operating income tripled to $6.6 billion, and Cloud operating margin expanded to 32.9%.
Even more striking, Cloud backlog nearly doubled from the previous quarter to $462 billion, driven by enterprise-AI demand and new tensor processing unit hardware agreements (“TPUs” are chips, like Nvidia’s graphics processing units (“GPUs”), but developed and sold by Google).
Alphabet is still spending aggressively. First-quarter capex was $35.7 billion, mostly for AI infrastructure, and management raised 2026 capex guidance to $180 billion to $190 billion.
But Alphabet gave investors what they wanted most: visible evidence that AI is not just a cost. It’s driving Search usage, Cloud demand, backlog growth, and margins.
Investors celebrated the news. Shares of GOOGL soared nearly 10% the day after the earnings release.
Microsoft: The AI Toll Road Is Getting Wider
Microsoft came into earnings as the market’s benchmark for enterprise AI.
The question wasn’t whether it had enough AI demand, but whether Azure (Microsoft’s cloud-computing platform) and Copilot (its AI assistant) could grow fast enough to justify another massive wave of spending.
The quarter gave investors plenty of details to work with.
Revenue rose 18% year over year to $82.9 billion. Operating income climbed 20% to $38.4 billion, and net income rose 23% to $31.8 billion.
The key number came from Azure. The Intelligent Cloud segment revenue grew 30% to $34.7 billion, while Azure and other cloud services revenue grew 40%.
Management said demand remained stronger than available capacity.
Copilot also showed that it’s moving beyond promises to measurable business. Paid seats (that is, individually licensed user accounts) for Microsoft 365 Copilot topped 20 million, with seat additions up 250% year over year.
The company said the number of customers with more than 50,000 seats quadrupled. Major digital consulting firm Accenture was its largest Copilot customer, with more than 740,000 seats.
The problem is, the bill for all this growth is still enormous.
Capex was $31.9 billion in the quarter, and management expects roughly $190 billion of capex in calendar year 2026 (including about $25 billion from higher component pricing).
That helps explain why investors are less enthusiastic about Microsoft’s stock than Alphabet’s – shares fell around 4% the day after earnings came out.
Yes, the quarter showed powerful AI demand. But there was a catch. Microsoft is still spending heavily to add AI capacity, and demand continues to run ahead of supply.
That spending is also weighing on cloud margins.
But Microsoft’s takeaway is clear: AI can increase cloud demand and help businesses monetize their software.
Amazon: AWS Is Growing Again, but the Capex Bill Still Looms
Amazon was the hardest to read of the group.
Investors were watching Amazon Web Services (“AWS”) – Amazon’s cloud platform and cash cow – for proof of AI demand.
But they were also watching retail margins, advertising, logistics costs, and the cash drain from AI investments.
The quarter came in strong on most of those fronts.
Revenue rose 17% year over year to $181.5 billion, while operating income climbed to $23.9 billion from $18.4 billion.
Net income jumped to $30.3 billion, though that included a large non-operating gain tied to Amazon’s Anthropic investment.
AWS revenue rose 28% to $37.6 billion, its fastest growth rate in 15 quarters. And AWS operating income increased to $14.2 billion.
Management said AWS is now a $150 billion annualized revenue run-rate business, with AI revenue running above $15 billion annually.
Importantly, though, the AI story at Amazon is quickly becoming about chips.
Amazon said its Trainium chip commitments top $225 billion, while its broader custom-chip business is growing at triple-digit year-over-year rates. (Trainium is Amazon’s in-house, custom AI chip designed to train and run large AI models more efficiently inside AWS).
Amazon argues that building out Trainium will lower expenses and improve margins. If it’s right, then it makes more sense than relying on external GPUs.
But right now, the spending remains enormous. Cash capex was $43.2 billion in the first quarter, primarily for AWS and generative AI. And trailing-12-month free cash flow fell to just $1.2 billion from $25.9 billion a year earlier.
Shares inched up less than 1% the day after the release, despite the AWS beat. Investors are still weighing faster cloud growth against the heavy AI capex and weak near-term free cash flow.
The AWS results clearly show strong AI demand. But unlike Alphabet, Amazon still has to convince investors that today’s spending will fuel tomorrow’s cash flow.
Tensions were highest about how Meta’s AI story would play out in earnings.
Unlike its three rivals, Meta doesn’t sell cloud infrastructure at scale. Its AI investments are meant to pay off through better ads, higher engagement, and eventually, new agent-based products.
On its core business, Meta delivered.
Revenue rose 33% year over year to $56.3 billion, almost entirely driven by advertising. Ad revenue climbed 33% to $55 billion.
AI appeared to be central to that performance. Management said users spent 10% more time on Instagram Reels and 8% more time on Facebook videos, thanks to better content recommendations.
Meta also said more than 8 million advertisers are using at least one of its generative-AI ad creative tools. Meanwhile, business-AI conversations across WhatsApp and Messenger have grown to more than 10 million per week from 1 million at the start of the year.
But the spending boost this quarter was impossible to miss.
Meta raised its 2026 capex outlook to $125 billion to $145 billion, due to higher component costs and additional data-center spending.
It also disclosed that it’s spending $237.7 billion on contractual commitments, mostly tied to cloud capacity, servers, data centers, and network infrastructure.
That’s why Meta shares dropped about 9% the day after earnings. The ad engine is working. But investors are no longer giving Meta a blank check for AI spending.
What Big Tech Earnings Reveal About the AI Trade
Taken together, these four reports show that AI is no longer just a story about future possibilities.
It’s already moving revenue.
Alphabet is seeing it in Search and Cloud. Microsoft is seeing it in Azure, Copilot, and enterprise demand. Amazon is seeing it in AWS, custom chips, and AI services. Meta is seeing it in ad targeting, content recommendations, and advertiser tools.
But the earnings also revealed a sharper divide.
The market is rewarding AI spending when the payoff is visible, and when the company controls more of the tech it needs – chips, cloud infrastructure, models, and distribution.
That’s why Alphabet’s earnings looked the strongest. The company can point to Search, Cloud, TPUs, and backlog as clear signs of success.
Amazon and Microsoft also have cloud platforms and custom chips… But investors are still watching how quickly capex turns into free cash flow and margins.
Meta is the cautionary tale. Its AI tools are clearly helping the ad business… But because it’s not monetizing AI primarily through cloud infrastructure, investors have a harder time justifying the spending.
Better recommendations and higher conversion rates are important. They’re just not as good at showing the investments’ worth as directly as cloud revenue or backlog.
The broader lesson is simple: the AI trade is maturing.
The winners in this phase will be the companies that can show a tight link between investment and economic return.
The losers, or at least the stocks that struggle, will be the ones asking investors to wait longer, spend more, and trust that monetization will come through later.
What Investors Should Watch Next
The next test is whether AI revenue can keep catching up to AI spending.
For Alphabet, Microsoft, and Amazon, that means watching cloud growth, backlog, margins, and whether custom chips help offset rising infrastructure costs.
For Meta, the key is whether AI-driven gains in engagement and ad performance can remain strong enough to justify a much larger capex base.
Across all four, the most important signal will be operating leverage. Investors don’t need capex to fall tomorrow… But they do need evidence that each additional dollar spent on AI is producing more revenue, better margins, or deeper customer lock-in.
The AI trade is entering a more demanding phase – one where scale alone is not enough. Today, returns matter more than hype.
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Good investing,
John Robertson
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