We recently compiled a list of the 10 Trending AI News Updates on Investors’ Radar. In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against the other trending AI stocks.
President Xi Jinping recently held a rare meeting at Beijing’s Great Hall of the People with some of the biggest names in China’s technology sector. Four years back, tech regulations in China and the government’s approach toward the tech sector were quite different than what it is shaping up to be today. Jack Ma, in particular, was once a high-profile target of Chinese regulators, disappearing from public view for several months after his criticizing speech against Xi in 2020.
READ NOW: 10 Buzzing AI Stocks Dominating Headlines and 15 AI Stocks Every Investor Should Be Watching
According to analysts, this change implies how policymakers are now concerned about slowing growth and the US’s efforts to limit China’s technological development. Meeting with tech leaders such as Alibaba’s Jack Ma, Jinping strongly urged them to “show their talent” and remain confident in the power of China’s model and market.
“The line-up of entrepreneurs suggests that Xi’s priority for the private sector is for it to support his goals of achieving technological self-reliance and supply-chain security”
– Neil Thomas, a fellow on Chinese politics at the Asia Society Policy Institute’s Center for China Analysis.
Gathering business leaders has been a pro-move by the President that underscores the importance of private sector innovation and the role it is playing in the global AI arms race. In light of this, Jinping has noted that private businesses have “broad prospects and great promise” to create wealth and opportunity. There is an inherent advantage in developing new industries with China’s governance and the scale of its market.
“It is the right time for the majority of private business and entrepreneurs to show their talent”.
-President Xi Jinping
Analysts note how gaining ground in technology is crucial for China as it races against the US for AI supremacy.
“It’s a tacit acknowledgement that the Chinese government needs private-sector firms for its tech rivalry with the United States. The government has no choice but to support them if it wants to compete with the United States.”
-Christopher Beddor, deputy China research director at Gavekal Dragonomics in Hong Kong.
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 Q3 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 275% since May 2014, beating its benchmark by 150 percentage points (see more details here).

A close-up of a colorful high-end graphics card being plugged in to a gaming computer.
NVIDIA Corporation (NASDAQ:NVDA)
Number of Hedge Fund Holders: 193
NVIDIA Corporation (NASDAQ:NVDA) specializes in AI-driven solutions, offering platforms for data centers, self-driving cars, robotics, and cloud services. On February 19, Nvidia announced the launch of Evo 2, a powerful new AI model built using NVIDIA DGX Cloud on Amazon Web Services (AWS). The company claims that Evo 2 is the largest publicly available AI model for genomic data, a foundational model that understands the genetic code for all domains of life.
The Evo 2 has been developed in a collaboration led by nonprofit biomedical research organization Arc Institute and Stanford University, and is available to global developers on the NVIDIA BioNeMo platform, including as an NVIDIA NIM microservice for easy, secure AI deployment. Building on its predecessor Evo 1, Evo 2 has been trained on an enormous dataset of nearly 9 trillion nucleotides which are the the building blocks that make up DNA or RNA. The model can predict genetic mutations and design new genomes, enabling researchers to predict the effects of all types of genetic mutations.
“Our development of Evo 1 and Evo 2 represents a key moment in the emerging field of generative biology, as the models have enabled machines to read, write and think in the language of nucleotides. Evo 2 has a generalist understanding of the tree of life that’s useful for a multitude of tasks, from predicting disease-causing mutations to designing potential code for artificial life. We’re excited to see what the research community builds on top of these foundation models.”
-Patrick Hsu, UC Berkeley assistant professor of bioengineering, Arc Institute co-founder and co-senior author.
Overall NVDA ranks 2nd on our list of the AI stocks on investors’ radar. 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 timeframe. 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.
READ NEXT: 20 Best AI Stock To Buy Now and Complete List of All AI Companies Under $2 Billion Market Cap.
Disclosure: None. This article is originally published at Insider Monkey.