What Is One of the Best Artificial Intelligence (AI) Stocks to Buy Right Now?

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.

Image source: Getty Images.

With the AI boom still in the infrastructure build-out phase,** Nvidia** (NVDA 0.74%) 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.

Expand

NASDAQ: NVDA

Nvidia

Today’s Change

(-0.74%) $-1.36

Current Price

$181.86

Key Data Points

Market Cap

$4.5T

Day’s Range

$181.69 - $185.40

52wk Range

$86.62 - $212.19

Volume

5.4M

Avg Vol

177M

Gross Margin

71.07%

Dividend Yield

0.02%

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.