The Nasdaq Bounces Back: These AI Stocks Could Be the Smartest Buys of the Year

In This Article:

Key Points

  • After a painful 20% plunge this spring, the Nasdaq Composite has nearly rebounded all the way back.

  • Investors should take a breath now and look at investing in some of the strongest artificial intelligence (AI) companies.

  • Three AI names can help deliver strong returns in 2025 and beyond.

  • 10 stocks we like better than Nvidia ›

The Nasdaq Composite is only at about breakeven for the year, as of this writing, but it's made a powerful comeback in recent weeks. The tech-heavy index is now down less than 1% year to date, a massive improvement from the drop of more than 20% it recorded in early April.

That doesn't mean it's too late to own tech names that are thriving from the boom in artificial intelligence (AI) spending. Here are three names that are in a prime position to benefit from the expansion of generative and agentic AI in the enterprise, education, healthcare, and beyond.

AI representing artificial intelligence showing on a computerized display of a human brain.
Image source: Getty Images.

King of the artificial intelligence (AI) ecosystem

The best way to profit from any growing field is to build an ecosystem around it. Think about how successful Apple has been with its app store, iPhone, Mac computers, and iCloud offerings. That's the approach Nvidia (NASDAQ: NVDA) is taking with hardware, software, and architecture for AI. CEO Jensen Huang is a proven visionary, and the company even has growth triggers beyond the world of AI.

AI is enabling change and improvement in every industry. Uses include generative AI and speech recognition, medical imaging and more efficient supply chain management. Nvidia is delivering enterprises the computing power, systems, tools, and algorithms needed. It's not just the powerful graphics processing units (GPUs) like Blackwell and the next-generation Rubin AI chips that Nvidia supplies, either.

Nvidia's NeMo provides a full platform for developing custom generative AI -- including large language models (LLMs), video models, and conversational AI. Its CUDA (compute unified device architecture) software platform allows developers to leverage Nvidia's leading chips using parallel processing power for more intensive applications. Nvidia's CUDA-Q is a quantum development platform enabling the use of large-scale quantum computing applications.

This is just a small sample of examples showing Nvidia's reach throughout the ecosystem. Nvidia is heavily involved even at the earliest stages of building AI factories where enterprises can deploy on-premises scalable, high-performance, AI platforms. Nvidia is also part of larger-scale projects like the recently announced United Arab Emirates Stargate global tech alliance. That will become a massive 1-gigawatt compute capacity data center.