Alphabet Leads as Big Tech Turbocharges AI Infrastructure

Earnings from Alphabet, Amazon, Meta and Microsoft point to a single conclusion: the era of incremental AI buildouts is over. Each company posted double‑digit revenue growth while accelerating spend on data centres, custom silicon and model platforms. 

Alphabet, which owns Google, emerged as the quarter’s standout in enterprise cloud, hinting at a potential reshuffle in hyperscale leadership.

The company stole the spotlight with a 63% surge in Google Cloud revenue to US$20bn for the quarter, markedly outpacing rivals. 

The acceleration is tied to demand for Google’s full‑stack AI strategy, its Gemini models and custom infrastructure, which are now processing more than 16 billion tokens per minute, up 60% from last quarter. 

Underscoring the momentum, Alphabet’s backlog nearly doubled quarter‑on‑quarter to a staggering US$460bn. 

Sundar Pichai, CEO of Alphabet and Google, says: “2026 is off to a terrific start. Our AI investments and full stack approach are lighting up every part of the business.” 

He highlighted the Gemini App’s role in delivering the company’s strongest consumer AI quarter to date and noted overall paid subscriptions have reached 350 million, led by YouTube and Google One. 

On the enterprise side, Gemini Enterprise posted 40% quarter‑on‑quarter growth in paid monthly active users. 

Sundar also called out Waymo surpassing 500,000 fully autonomous rides a week, framing Alphabet’s results as the product of a differentiated, end‑to‑end AI stack.

Graviton and Trainium power AWS growth

AWS delivered its fastest growth in nearly four years, with sales up 28% to US$37.6bn. 

The deeper story lies in hardware: Amazon’s custom AI chips, Graviton for general compute and Trainium for model training, have hit a US$20bn annualised revenue run rate, expanding at triple‑digit percentages. 

Combined with massive deployments of NVIDIA GPUs and support for models from OpenAI and Anthropic, Amazon is positioning itself as the “Switzerland” of AI infrastructure.

The investment intensity is clear on the cash flow statement. Free cash flow fell to US$1.2bn from US$25.9bn a year ago as the company poured US$59.3bn into property and equipment, largely for AI data centres. 

Andy Jassy, President and CEO at Amazon, says: "AWS is growing 28% (our fastest growth in 15 quarters) on a very large base. We’re in the middle of some of the biggest inflections of our lifetime, and we’re well positioned to lead."

Ads fuel the push for Meta

Meta posted the group’s highest top‑line growth, with revenue up 33% to US$56.3bn.

Advertising remains the profit engine, but the company’s identity is rapidly pivoting to AI research via Meta Superintelligence Labs, a new division dedicated to pushing state‑of‑the‑art models.

Meta’s capital expenditure outlook is the boldest in big tech: 2026 capex has been raised to US$145bn to support AI capacity. Despite the surge in spending, operating margin remained a robust 41%, aided by a 19% increase in ad impressions.

Mark Zuckerberg, CEO of Meta, says: “We had a milestone quarter... with the release of our first model from Meta Superintelligence Labs. We’re on track to deliver personal superintelligence to billions of people.”

Microsoft grows amid margin pressure

Microsoft recorded an 18% revenue increase on the continued expansion of the Microsoft Cloud, but the cost of the AI race is showing up in profitability. 

Cloud gross margin slipped to 68%, reflecting the capital required to build and run AI infrastructure at scale. The company also absorbed a US$3.1bn hit tied to its OpenAI investments, weighing on net income.

Even so, Microsoft remains the primary gateway for enterprise AI through Microsoft 365 Copilot and deep Azure integrations. 

Satya Nadella, Chairman and CEO of Microsoft, says: “We are focused on delivering AI infrastructure and solutions that empower every business to eval-max their outcomes in this agentic computing era. Our AI business surpassed a US$37bn annual revenue run rate, up 123%.” 

From a bird's-eye view, the main takeaway from the earnings report is that big tech is past the experimentation phase as AI is now an infrastructure sport played at hyperscale. 

From Alphabet seizing early enterprise momentum, Amazon pressing its silicon and neutrality edge to Meta reimagining its core around superintelligence and Microsoft trading some margin for distribution and platform reach, the space is getting heated. 

The next leg of this race will be won by those who can translate unprecedented capex into durable, software‑led economics.