TL; DR
Alphabet’s market capitalization surpassed $4.6 trillion in the first quarter of 2026 after a 10% stock gain that beat estimates for each unit, Google Cloud surged 63% to $20 billion, and search queries hit an all-time high. The gap with Nvidia, which fell 6% on reports that OpenAI missed growth targets, narrowed to about $200 billion, and options traders are assigning a 53% chance that Alphabet will overtake Nvidia as the world’s most valuable company by mid-May.
Alphabet’s shares rose nearly 10 percent on Thursday after the company reported first-quarter revenue of $109.9 billion, beating analysts’ estimates by about $3 billion, a 22 percent year-over-year increase. Google Cloud surpassed $20 billion in quarterly revenue for the first time, up 63 percent. Cloud inventory nearly doubled in the quarter to more than $460 billion. Earnings per share increased by 81 percent. Search queries have reached an all-time high. The stock closed at $381.94, pushing Alphabet’s market capitalization above $4.6 trillion. Nvidia, which closed the same day at $198.61 with a market capitalization of about $4.8 trillion, fell more than 6 percent over the previous two sessions after the Wall Street Journal reported that OpenAI missed its internal targets for weekly active users and monthly revenue.
The difference between the two companies is now about $200 billion. Options traders put Alphabet at about a 53 percent chance of reaching $5 trillion by May 15. If it does, and Nvidia doesn’t enter or exit its May 20 earnings report, Alphabet will be the world’s most valuable company. The last time it briefly overtook Apple for two days was in February 2016.
Earnings
The market-moving numbers were not only big, but structurally different from what Alphabet reported a year ago. Google Cloud’s growth rate of 63 percent accelerated from 48 percent in the previous quarter, making it the fastest-growing division among the three major cloud platforms. AWS is up 17 percent. Microsoft Azure is up 33 percent. Google is still third in terms of market share, but it’s growing nearly twice as fast as Azure and four times faster than AWS. Sundar Pichai told analysts on the earnings call that the company has limited near-term computing and that cloud revenue would be higher if capacity kept pace with demand. Revenue from products built on generative artificial intelligence models grew nearly 800 percent year-over-year. YouTube advertising grew 11 percent to $9.9 billion, and Alphabet now has 350 million paid subscriptions across YouTube Premium, YouTube Music and Google One.
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A guide to fixed costs tells the other half of the story. Alphabet raised its full-year equity estimate for 2026 to between $180 billion and $190 billion, up from the $175 billion to $185 billion it had guided in February. Total capital commitments for 2026 among the five major hyperscalers are now on track to exceed $650 billion.it is a larger number than the GDP of most European countries. Alphabet is spending aggressively as Google Cloud’s growth rate suggests the returns on investment in AI infrastructure are being realized sooner than the market expected. The $460 billion backlog is not revenue. This is a pipeline of contracted demand that will turn into revenue within a few years. But its existence means that Alphabet’s cloud business is not speculative. Customers are already committed.
Difference
Nvidia’s stumble wasn’t about its own fundamentals. The company posted $68.1 billion in revenue last quarter, with data center revenue up 75 percent. It is expected to report revenue of about $78 billion in its May 20 earnings report, a 78 percent year-over-year increase. The company remains the world’s dominant supplier of GPUs powering every major AI training and inference workload. What changed this week was the story about Nvidia’s biggest customers. OpenAI’s $852 billion valuation is under scrutiny The report hit Nvidia as the company’s growth figures stopped accelerating at the pace investors expected and it missed domestic revenue and user targets, as the market read it as a signal that demand for its artificial intelligence chips may not be bottomless. AMD fell 6 percent. The goal fell by 8 percent. Broadcom fell 5 percent. The entire semiconductor complex was sold because the biggest buyer of artificial intelligence chips is not growing as fast as valuations demand.
The rift between Alphabet and Nvidia reflects a deeper question about where value accrues in the AI ​​economy. Nvidia sells the blades. Alphabet uses shovels to build a mine and then sells what the mine produces. A quarter of Google Cloud’s $20 billion came from selling its AI infrastructure and services to enterprises. Google Search’s record query volume was driven by AI Insights, which use generative models to directly answer questions on the search page. YouTube’s ad revenue benefits from AI-based recommendation and content moderation. Alphabet isn’t just buying AI chips. It turns those chips into revenue across three different lines of business, each independently generating more quarterly revenue than most tech companies produce in a year.
Infrastructure layer
The market is beginning to appreciate a distinction that has been building for two years: the difference between the companies that provide AI infrastructure and the companies that deploy it. Nvidia’s valuation hinges on the assumption that AI chip costs will continue to accelerate. Alphabet’s valuation hinges on the assumption that its AI chip spending will generate revenue. Both assumptions may be true at the same time, but they carry different risk profiles. If AI spending slows, Nvidia’s revenue growth slows. If AI spending continues, but revenues are realized primarily at the app level, Alphabet captures a disproportionate share of the value because it controls the apps.
U.S. utilities plan to spend $1.4 trillion on AI data center deployments by 2030.and hyperscalers’ $650 billion in 2026 goes to GPU clusters, custom silicon, fiber optic networks, and cooling systems that will take years to fully depreciate. The question is who earns the return on that capital. Nvidia earns its revenue at the point of sale. Alphabet earns its revenue over the lifetime of the infrastructure as cloud customers use computing, search users generate ad revenue, and YouTube viewers drive subscription and ad revenue. The complicated nature of Alphabet’s revenue model is what the market reassessed Thursday. A 10 percent move in a $4.6 trillion company is not a reaction to a single quarter. It’s a reassessment of the long-term earning power of the platform that sits on top of the chips.
Rating
The composition of the Magnificent Seven, the group of tech companies that have dominated US stock returns since 2023, is changing. Alphabet fell from second to fifth in the group’s internal rankings in 2025, weighed down by concerns that artificial intelligence will cannibalize Google Search and that antitrust lawsuits will force structural changes at the company. Both concerns remain active. The Justice Department’s antitrust case against Google’s search monopoly is ongoing, and the long-term impact of AI on search advertising is truly uncertain. But first-quarter results showed that AI isn’t cannibalizing search. It speeds it up. Queries are at an all-time high as AI Insights make the search experience more rewarding, not less. Users are asking more questions, not fewer, and each question creates an advertising opportunity.
Pichai announced the launch of Google Cloud Next 2026 with a $240 billion backlog and 750 million Gemini users.frames the company’s AI strategy as the integration of model, runtime, silicon and distribution into a single platform. The Gemini Enterprise Agent Platform, an A2A protocol for agent-to-agent communication, and a $750 million partner fund for agent AI deployments are designed to make Google Cloud the default infrastructure for next-generation enterprise AI applications. If this strategy succeeds, the cloud-only business could be worth more than most independent technology companies within two years.
Nvidia reports on May 20. If it convincingly beats expectations, the gap may widen again and the overtake may not happen this month. But the structural change revealed by Thursday’s trading is not a quarter. The narrative that artificial intelligence will destroy traditional software businesses is overblownand Alphabet’s results show that the companies best positioned to profit from AI are not those that sell the technology, but those that deploy it at scale in existing distribution channels with existing customer relationships. Nvidia created the engine. Alphabet builds the car, the road and the toll booth. The market starts to price accordingly.
