What Is One of the Best Artificial Intelligence (AI) Stocks to Buy Right Now?
Key Points
Surging hyperscaler spending on the AI infrastructure build-out could strongly benefit Nvidia.
The company is focusing on maintaining its technological edge in accelerated computing.
Nvidia's full-stack approach combining chips, networking, and software is making its AI infrastructure platform difficult to replicate.
- 10 stocks we like better than Nvidia ›
Artificial intelligence (AI) investment continues to accelerate as technology companies race to expand compute capacity and build massive data centers needed to train and run increasingly complex models.
Major hyperscalers such as Microsoft, Amazon, Alphabet, and Meta Platforms are expected to collectively invest nearly $650 billion in AI infrastructure in 2026.
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
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With the AI boom still in the infrastructure build-out phase, Nvidia (NASDAQ: NVDA) stands to remain one of the biggest beneficiaries. Here's why.
AI ecosystem
Nvidia's recent financial results demonstrate how strongly AI infrastructure demand is translating into revenue. In the fourth quarter of fiscal 2026 (ended Jan. 25, 2026), the company generated $62.3 billion in data center revenue, up 75% year over year. This was driven mainly by solid adoption of Blackwell systems across cloud providers, AI model developers, and enterprises.
Nvidia is also investing heavily to maintain its technological lead in AI hardware. According to a CNBC report, Nvidia's roughly $20 billion deal to license AI inference technology from AI chip start-up Groq is expected to accelerate the development of a new generation of AI chips optimized for high-speed and low-latency performance (inference refers to the real-time deployment of AI models). These efforts complement Nvidia's product roadmap from Blackwell systems to the upcoming Vera Rubin architecture.
Nvidia's management has indicated that certain advanced AI models could be trained using the Rubin platform with 4 times fewer GPUs while reducing the cost of running AI models by up to 10 times compared with Blackwell systems. This could help make large-scale AI deployments efficient and affordable.
Nvidia has also evolved from a chip vendor into a full-stack AI infrastructure platform. Besides GPUs, the company also provides networking technologies such as NVLink, NVSwitch, InfiniBand, and Spectrum-X, along with software and integrated systems required for large AI data centers. Its CUDA software platform is used by millions of developers and has helped make switching to competing GPUs costly for customers.
Nvidia's integrated AI ecosystem can help it capture a larger share of AI infrastructure spending, potentially supporting further stock gains in the coming years.
Should you buy stock in Nvidia right now?
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Manali Pradhan, CFA has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Amazon, Meta Platforms, and Nvidia. The Motley Fool has a disclosure policy.
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