Alphabet is pressing closer to Nvidia in the global market-value race, powered by accelerating Google Cloud growth, heavy artificial intelligence investment and the commercial opening of its custom chip strategy.
Market pricing on Friday still left Nvidia ahead, with a valuation above $5.2 trillion against Alphabet’s roughly $4.8 trillion. The gap remains substantial, but the direction of investor attention has shifted. Alphabet’s first-quarter performance showed that Google’s AI spending is no longer being judged only as a cost burden. It is being treated increasingly as a revenue engine across cloud computing, search, subscriptions and enterprise services.
The strongest signal came from Google Cloud, where quarterly revenue rose 63% to $20 billion, marking the fastest growth rate since Alphabet began reporting the unit separately. Backlog nearly doubled to more than $460 billion, underscoring demand for AI infrastructure and enterprise tools at a time when corporate customers are racing to deploy generative AI systems. Cloud operating income tripled to $6.6 billion, strengthening the case that the business can become a larger contributor to group profitability after years of investment-heavy expansion.
Alphabet’s wider first-quarter revenue rose 22% to $109.9 billion, while consolidated operating income climbed 30% to $39.7 billion. Net income was lifted by a large gain on equity securities, a factor that investors are likely to treat cautiously, but the operational improvement in cloud and search has helped alter sentiment around the stock.
Google’s AI strategy is now being assessed as a full-stack challenge to Nvidia’s dominance. Alphabet is not merely buying graphics processors for its data centres; it is expanding the role of its own tensor processing units, or TPUs, alongside Nvidia GPUs and its Axion CPUs. The company has begun selling TPUs directly to selected customers, widening a business model that had previously focused on internal use and cloud-based access.
That shift matters because Nvidia’s valuation has been built on its commanding position in AI accelerators. Its chips remain central to model training and inference across the technology industry, and the company’s latest results showed record quarterly revenue of $68.1 billion, up 73% from a year earlier. Data centre revenue reached $62.3 billion in the quarter, reflecting intense demand for Blackwell systems and related AI infrastructure.
Nvidia’s lead is therefore still rooted in exceptional earnings momentum, pricing power and deep software integration through its CUDA ecosystem. Yet the risk profile is changing as its largest customers increasingly design chips of their own. Alphabet, Amazon, Microsoft, Meta and other hyperscale operators are investing heavily in internal silicon to reduce dependence on a single supplier, manage costs and tailor chips to their own workloads.
Alphabet’s advantage lies in the breadth of its AI ecosystem. Search remains its profit engine, and AI features such as AI Overviews and AI Mode are being used to defend and expand engagement rather than simply disrupt the advertising business. Search and other advertising revenue grew 19% in the first quarter, easing earlier concerns that conversational AI tools could weaken Google’s core franchise.
The consumer side is also gaining traction. Paid subscriptions across YouTube, Google One and other products have reached 350 million, with Gemini-linked services helping drive demand. Alphabet’s first-party models now process more than 16 billion tokens per minute through direct customer API use, up from 10 billion in the previous quarter, showing faster adoption among developers and enterprise users.
The challenge is capital intensity. Alphabet has raised its 2026 capital expenditure outlook to between $180 billion and $190 billion, with another large increase expected in 2027. That spending is aimed at data centres, chips, networking and energy-hungry AI infrastructure. Strong demand is clear, but the scale of investment leaves little room for execution errors if revenue growth moderates.
Market pricing on Friday still left Nvidia ahead, with a valuation above $5.2 trillion against Alphabet’s roughly $4.8 trillion. The gap remains substantial, but the direction of investor attention has shifted. Alphabet’s first-quarter performance showed that Google’s AI spending is no longer being judged only as a cost burden. It is being treated increasingly as a revenue engine across cloud computing, search, subscriptions and enterprise services.
The strongest signal came from Google Cloud, where quarterly revenue rose 63% to $20 billion, marking the fastest growth rate since Alphabet began reporting the unit separately. Backlog nearly doubled to more than $460 billion, underscoring demand for AI infrastructure and enterprise tools at a time when corporate customers are racing to deploy generative AI systems. Cloud operating income tripled to $6.6 billion, strengthening the case that the business can become a larger contributor to group profitability after years of investment-heavy expansion.
Alphabet’s wider first-quarter revenue rose 22% to $109.9 billion, while consolidated operating income climbed 30% to $39.7 billion. Net income was lifted by a large gain on equity securities, a factor that investors are likely to treat cautiously, but the operational improvement in cloud and search has helped alter sentiment around the stock.
Google’s AI strategy is now being assessed as a full-stack challenge to Nvidia’s dominance. Alphabet is not merely buying graphics processors for its data centres; it is expanding the role of its own tensor processing units, or TPUs, alongside Nvidia GPUs and its Axion CPUs. The company has begun selling TPUs directly to selected customers, widening a business model that had previously focused on internal use and cloud-based access.
That shift matters because Nvidia’s valuation has been built on its commanding position in AI accelerators. Its chips remain central to model training and inference across the technology industry, and the company’s latest results showed record quarterly revenue of $68.1 billion, up 73% from a year earlier. Data centre revenue reached $62.3 billion in the quarter, reflecting intense demand for Blackwell systems and related AI infrastructure.
Nvidia’s lead is therefore still rooted in exceptional earnings momentum, pricing power and deep software integration through its CUDA ecosystem. Yet the risk profile is changing as its largest customers increasingly design chips of their own. Alphabet, Amazon, Microsoft, Meta and other hyperscale operators are investing heavily in internal silicon to reduce dependence on a single supplier, manage costs and tailor chips to their own workloads.
Alphabet’s advantage lies in the breadth of its AI ecosystem. Search remains its profit engine, and AI features such as AI Overviews and AI Mode are being used to defend and expand engagement rather than simply disrupt the advertising business. Search and other advertising revenue grew 19% in the first quarter, easing earlier concerns that conversational AI tools could weaken Google’s core franchise.
The consumer side is also gaining traction. Paid subscriptions across YouTube, Google One and other products have reached 350 million, with Gemini-linked services helping drive demand. Alphabet’s first-party models now process more than 16 billion tokens per minute through direct customer API use, up from 10 billion in the previous quarter, showing faster adoption among developers and enterprise users.
The challenge is capital intensity. Alphabet has raised its 2026 capital expenditure outlook to between $180 billion and $190 billion, with another large increase expected in 2027. That spending is aimed at data centres, chips, networking and energy-hungry AI infrastructure. Strong demand is clear, but the scale of investment leaves little room for execution errors if revenue growth moderates.
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Technology