We recently published a list of 9 Trending AI Stocks Making Headlines Today. In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against other AI stocks that are making headlines today.
With the AI arms race getting more intense than ever, it seems that some people are increasingly realizing that cooperation, rather than competition, is key. The president of the National Committee on United States-China Relations (NCUSCR) is bringing this into focus more recently. According to Stephen Orlins, who participated in the annual China Development Forum in Beijing, China and the United States must cooperate in artificial intelligence. He also said that duplication of efforts in the area could be avoided.
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Since artificial intelligence is becoming a key area of competition between the two countries, and China has come neck-to-neck in competition with its rapidly advancing AI breakthroughs, the need to cooperate becomes even more pressing. Washington has been levying successive rounds of sanctions against China’s AI and chip sectors to slow down its advancement, while China has, in turn, been open-sourcing its technology, posing a threat to its Western counterparts.
Chinese tech giants such as Baidu, Tencent, and Alibaba have been flooding the markets with their AI models that can be downloaded, modified, and even integrated with other solutions. The advent of DeepSeek was a breakthrough moment in itself, presenting the tech world with efficient and low-cost AI models that wreaked havoc in the tech world.
In the West, the policy has been to keep artificial intelligence exclusive. Users typically have to pay to access advanced models. On the contrary, China has been retaliating by using available resources for mass AI development. Provided that open-source AI becomes powerful enough, the West’s strategy to monetize AI will collapse. The contrast in the policies and strategies between the two countries highlights how the West is focused on profit-driven innovation while China is focused on mass adoption. This way, China is not only boosting its technological capabilities smartly but also challenging Western dominance in the AI space.
For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds. The hedge fund data is as of Q4 2024.
Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points (see more details here).
NVIDIA Corporation (NASDAQ:NVDA)
Number of Hedge Fund Holders: 223
NVIDIA Corporation (NASDAQ:NVDA) specializes in AI-driven solutions, offering platforms for data centers, self-driving cars, robotics, and cloud services. One of the most notable analyst calls on Monday, March 24, was for Nvidia Corporation. Melius Research analyst Ben Reitzes reiterated the stock as “Buy”, stating that Nvidia is “now arguably defensive.”
“The clouds over the AI semis space mentioned above are winning this year despite Nvidia having tailwinds from inferencing and a clear line of sight on hyperscaler orders through year-end.”
Analysts on Wall Street currently have a consensus “Buy” rating on the stock. The average price target of $175 implies a 44% upside, however, the Street-high target of $235 implies an upside of 94%.
Overall, NVDA ranks 4th on our list of AI stocks that are on Wall Street’s radar today. While we acknowledge the potential of NVDA as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than NVDA but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.
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Disclosure: None. This article is originally published at Insider Monkey.
