Alphabet nearly caught up with Nvidia by market cap after Google Cloud's record quarter
Alphabet moved sharply closer to Nvidia after a strong quarterly report. The company's revenue rose to $109.9 billion, and Google Cloud generated more than…
AI-processed from TNW; edited by Hamidun News
Alphabet has sharply closed the gap with Nvidia in market capitalization following a quarterly report that showed Google is no longer just catching up in the AI race, but transforming it into a functioning business. What impressed the market most was not the mere existence of AI products, but how quickly they convert into cloud, search, and subscription revenue.
Why shares rose
In the first quarter of 2026, Alphabet generated $109.9 billion in revenue — 22% higher than a year earlier and almost $3 billion above analyst expectations. The primary driver was Google Cloud: quarterly revenue exceeded $20 billion for the first time and grew 63% year-over-year.
Another critical signal — the cloud backlog, which represents already contracted demand, nearly doubled compared to the previous quarter and exceeded $460 billion. In parallel, Google reported that search query volume reached an all-time high. A less visible but equally important part of the story concerns revenue quality.
Earnings per share increased to $5.11, or 82% year-over-year, while the cloud operating segment tripled its profit. The company specifically highlighted growing demand for enterprise AI tools: the paid Gemini Enterprise audience grew 40% in the quarter, and Google's own models already process over 16 billion tokens per minute through the API.
This is no longer an experimental showcase but a large-scale commercial infrastructure.
"Our AI investments are igniting our entire business," said
Alphabet CEO Sundar Pichai.
- Alphabet revenue: $109.9 billion
- Google Cloud revenue growth: 63%
- Cloud backlog: over $460 billion
- Paid Google and YouTube subscriptions: 350 million
Why Nvidia declined
Alphabet's rally coincided with reverse movement in Nvidia shares. During trading on April 30, Google shares gained almost 10% and closed at $381.94, raising the company's market capitalization above $4.
6 trillion. Nvidia, in the same period, was valued at around $4.8 trillion, and the gap between the two companies narrowed to approximately $200 billion.
The market even saw bets that Alphabet could reach a $5 trillion valuation by mid-May if Nvidia does not deliver an equally strong report. It is important to note this is not about a collapse of Nvidia's business. Its dominance in AI chips remains strong, and the upcoming quarterly report is expected to show very strong revenue growth.
However, investors have begun doubting something else: whether demand for computing power will grow infinitely and at the same pace. The trigger came from reports that OpenAI failed to meet internal revenue targets and weekly audience goals. Against this backdrop, other semiconductor companies, including AMD, Arm, and Broadcom, also declined.
Who's capturing the margin
The TNW metaphor about "the engine, the car, the road, and the toll booth" describes the shift in market perception well. Nvidia sells critically important hardware, but Alphabet is increasingly earning at the next layer — where computing transforms into services and recurring revenue. Google Cloud sells AI infrastructure and enterprise tools, search retains users through AI Overviews, and YouTube and subscriptions gain additional benefits from recommendations, moderation, and new AI packages.
In other words, Google monetizes the same technological stack across multiple directions simultaneously. At the same time, Alphabet does not skimp on infrastructure. The company raised its forecast for 2026 capital expenditures to $180–190 billion and explicitly acknowledged that in the near term it faces a computing power shortage: cloud revenue could be even higher if capacity kept pace with demand.
This is an important nuance for the market. Nvidia captures most of its return at the moment of chip sale, while Alphabet captures returns throughout the entire lifecycle of built infrastructure: when customers consume cloud, users make queries, and YouTube audience generates ad revenue and subscriptions. This income profile appears more stable, though risks — from antitrust pressure to capital expenditure costs — have not disappeared.
What this means
The market is beginning to pay not just for a chip supplier, but for a company that knows how to build products, distribution channels, and recurring revenue on top of them. If Alphabet maintains its pace in cloud and search, the conversation about AI-sector leadership will increasingly shift from hardware to ecosystem.
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