<div id="readability-page-1">Over the past few years, many corporate budgets have been reoriented toward artificial intelligence (AI) investments. Nowhere is this shift more evident than among the cloud hyperscalers -- Microsoft, Alphabet, and Amazon -- as well as other tech titans like Meta Platforms and Oracle. In just this year alone, Meta committed $14.3 billion to Scale AI and launched a new research hub, Meta Superintelligence Labs (MSL). It also signed a six-year, $10 billion agreement with Google Cloud. Meanwhile, Microsoft just struck a $17.4 billion deal with Nebius, a rising neocloud specialist. At the center of this unprecedented wave of AI infrastructure spending stands one clear beneficiary: Nvidia (NVDA 0.43%). Whether directly or indirectly, the graphics processing unit (GPU) powerhouse is capturing a significant chunk of the money being spent on AI infrastructure. Let's explore how big tech is reshaping the AI landscape -- and why these secular tailwinds point to further significant upside for Nvidia. <h2>AI infrastructure spending has accelerated since the launch of ChatGPT</h2> The launch of ChatGPT in November 2022 ignited an unprecedented AI arms race among the world's largest companies. What's important to recognize is that their capital expenditures in this battle are not plateauing -- they're accelerating. <img src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/1edc4f9906e7bcf6c3cd16cc690a2d2e.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" width="720" height="490" original-src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/1edc4f9906e7bcf6c3cd16cc690a2d2e.png"/> AMZN Capital Expenditures (TTM) data by YCharts. Data from Goldman Sachs underscores just how dramatic these dynamics have become. In 2021, Alphabet, Meta, Amazon, and Microsoft collectively had capex of about $100 billion. By next year, Wall Street expects that figure to approach nearly $500 billion. <h2>What does this mean for Nvidia?</h2> Training and deploying large language models (LLMs) and building generative AI applications demands extraordinary amounts of computing power. GPUs are parallel processors, which makes them some of the best chips available to provide the type of computing power AI workloads require. Today, Nvidia commands a more than 90% share of the GPU market, giving it a dominant position within the AI supply chain. A significant portion of the AI capex surge is flowing directly into GPUs and the supporting data center equipment necessary to maximize their performance. This dynamic places Nvidia in a uniquely enviable position as the backbone of modern AI development -- and it's poised to capture incremental budget allocations as hyperscalers and other data center operators race to secure its next-generation chips the moment they become available. <div><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MzI4MTcvZ2V0dHlpbWFnZXMtOTMxNTAyMjYyLmpwZyZ3PTcwMA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" width="700" height="402" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MzI4MTcvZ2V0dHlpbWFnZXMtOTMxNTAyMjYyLmpwZyZ3PTcwMA"/>Image source: Getty Images. </div> <h2>Is Nvidia stock a buy?</h2> The magnitude of hyperscaler infrastructure investment reflects more than the world's apparently insatiable appetite for AI computing power. It underscores a deeper reality: AI is becoming the central growth engine for these companies, and securing access to the most advanced chips has shifted from being a matter of technological advantage to being a matter of competitive survival. The accelerating pace of this spending suggests that corporations are still in the early stages of implementing their AI playbooks. Far from being a speculative bubble, this wave of infrastructure investment is the result of deliberate, long-term strategic planning by some of the world's most influential companies as they pivot away from their traditional priorities and take on sophisticated projects in robotics, autonomous systems, cybersecurity, and more. For Nvidia, this dynamic should translate into sustained pricing power for its wares, durable recurring demand, and a multiyear runway for rapid growth. Its GPUs and CUDA software platform have become the gold standard for enterprise AI tech stacks. <img src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/0d5813f7d83fdf8bc22f449726d7733c.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" width="720" height="456" original-src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/0d5813f7d83fdf8bc22f449726d7733c.png"/> NVDA PE Ratio (Forward) data by YCharts. Taken together, these tailwinds suggest that Nvidia could experience meaningful valuation expansion from here. As the infrastructure chapter of the AI narrative continues to unfold, Nvidia appears well positioned to remain as a core enabler of big tech's transformation. For these reasons, I see Nvidia stock as a no-brainer investment, and view it as one of the most compelling buy-and-hold opportunities in the market. </div>

Amazon, Microsoft, Alphabet, and Meta have significantly increased their investments in AI infrastructure, with spending expected to rise from $100 billion in 2021 to nearly $500 billion next year. Nvidia stands to benefit greatly from this trend, holding over 90% of the GPU market share, essential for AI workloads. The ongoing demand for advanced chips positions Nvidia as a key player in the AI landscape, suggesting strong growth potential and making its stock a compelling buy-and-hold opportunity.

- Corporate budgets are increasingly focused on artificial intelligence (AI) investments, particularly among major tech companies like Microsoft, Alphabet, and Amazon.  
- Nvidia is benefiting significantly from this trend, commanding over 90% of the GPU market, which is essential for AI workloads, and is expected to see sustained demand and pricing power.  
- The ongoing infrastructure investment in AI reflects a strategic shift among corporations, positioning Nvidia as a key player in the evolving tech landscape.  

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Amazon, Microsoft, Alphabet, and Meta Just Delivered Half a Trillion Dollars Worth of Great News for Nvidia Investors