3 Top AI Stocks to Buy in June 2025

In This Article:

Key Points

  • Nvidia continues to dominate the AI market with cutting-edge chips, a robust software ecosystem, and advanced networking technologies.

  • Broadcom has emerged as a prominent player in AI infrastructure, leveraging its custom AI chips and VMware software stack.

  • CoreWeave is seeing explosive growth with Nvidia's backing.

  • 10 stocks we like better than Nvidia ›

The U.S. equity market made a strong recovery in May 2025, fueled by robust earnings, decreasing trade tensions, and rising investor confidence in the U.S. economy -- a significant improvement compared to the market's performance in April 2025. Now, Deutsche Bank analysts have raised the target for the benchmark S&P 500 index from 6,150 to 6,550 by the end of 2025.

Given this renewed market optimism, artificial intelligence (AI) stocks are poised to be key beneficiaries of the next wave of capital inflows. Long-term investors can benefit from this trend by investing in these high-quality, artificial intelligence (AI)-powered companies that offer significant growth potential in the evolving market landscape. June is a good time to take a closer look at these three top AI stocks.

A focused trader studies stock charts and market data on his desktop.
Image source: Getty Images.

1. Nvidia

Nvidia (NASDAQ: NVDA) has reported stellar results for the first quarter of fiscal 2026 (ended April 27, 2025). The company reported revenue of $44.1 billion, representing a 69% year-over-year increase. Nvidia also generated a solid $26 billion in free cash flow.

Nvidia currently accounts for nearly 80% of the AI accelerator market. While a dominant presence in AI training workloads, the company is also focused on inference (real-time deployment of pre-trained models) workloads. The company is at the forefront of handling reasoning workloads (computationally intense and complex inference workloads) with its Blackwell architecture systems. Major cloud providers are already deploying these chips at a massive scale -- almost 72,000 GPUs weekly -- and plan to ramp up even more in the coming quarter. Hence, Blackwell is powering the next phase of AI where technology is thinking longer, solving problems, and giving better answers than just responding with pre-written answers.

Besides hardware leadership, Nvidia's robust software ecosystem has ensured developer lock-in and a sticky customer base. With the CUDA parallel programming platform, TensorRT for deployment, and NIM microservices for inference, clients find it extremely costly and time-consuming to switch to competitors. The company has also built a healthy networking business, with this segment's revenue growing 64% quarter over quarter to $5 billion in the first quarter.