Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence to run large language models. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.

This week's list looks at the 20 stocks followed most closely by Argus clients in 2025. It contains well-known names and, not surprisingly, includes many technology or "technology related" names. One might have easily guessed that Nvidia is in the top spot, but might be surprised to see only three Healthcare companies, only one big box retailer, no big banks, and no Walmart. The list also includes the current Argus rating on each stock, the sector for each stock, and each stock's performance from 2025.

Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence to run large language models. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.

Are the recent cracks in the AI foundation superficial? Or do they run deeper? The latest concerns include the charge that tech earnings are inflated artificially due to accounting decisions, as well as allegations that the industry's hyper-growth is due to circular funding, with tech giants simply buying products from each other. The tentpole of the AI revolution, Nvidia, reported after the market close on 11/19/25. What transpired in the following 24 hours encapsulated the excitement, astonishment, skepticism, and fear that has characterized the three years since ChatGPT was made widely available. Pushing back against fears that AI was in a bubble phase, Nvidia CEO Jensen Huang reiterated his claim that the global annual spend on AI infrastructure can soar to $3-$4 trillion by 2030. He can make such a claim because the market for AI technology is changing and broadening dramatically. In the months leading up to Nvidia's results, the company announced multiple new AI partnership deals -- not with the hyperscalers that dominated earlier GPU demand, but with multiple neoclouds, large global enterprises, and sovereign clients. NVDA and other AI leaders rallied across Thanksgiving week, reversing most of their mid-month losses. As investors cashed out of these names, AI winnings were redeployed into other sectors -- some of which are seen as beneficiaries as AI expands. That rotation is healthy for near-term stability in the stock market. We expect the AI trade to be bumpy. But like other transformational technology trades before it, we expect the AI trade to be long and fruitful.