We recently published a list of Top 10 Trending AI Stocks to Watch in November. In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against other trending AI stocks to watch in November.
Amid soaring valuations of AI stocks, beginner investors keep wondering whether they are too late to the AI party. However, investing experts believe that opportunities abound in the AI space because of the nature of this technological revolution.
While talking to Wall Street Journal during the WSJ Tech Live Conference, venture capitalist Martin Casado, a general partner at Andreessen Horowitz, explained why he believes there is no such thing as “too late” when it comes to AI for now.
“When it comes to AI, it really feels like the marginal cost of language, reasoning and creation are going to zero. And if that’s the case, this is a supercycle. And if that’s the case, we’ve got decades. So there’s no “too late.” In that sense, we’re still very, very early.”
The AI revolution is quickly entering the phase where we are seeing real-life use cases as AI is helping companies significantly reduce costs and increase efficiency. According to a detailed report published by Benesch’s AI Commission, an AI-based tool that monitors real-time data from electronic medical records reduced unexpected deaths in hospitalized internal medicine patients by 26%.
Casado also talked about the usability of AI models for actual problem-solving:
“Everybody looks at the OpenAIs. But as far as value creation and integration, if you look at all the private companies, the smaller companies that are building their own smaller models, they are some of the fastest-growing companies we’ve seen in the history of the industry.”
Also Read 10 Best Healthcare Stocks to Buy According to Hedge Funds and 10 Best Mid-Cap Healthcare Stocks to Buy Now.
For this article we picked 10 AI stocks trending on latest news and earnings. With each stock we have mentioned the number of hedge fund investors. 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).
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Number of Hedge Fund Investors: 179
Ben Reitzes of Melius Research recently said during a program on CNBC:
“This is like when Apple did the iPhone, and if you gave up on Apple in year two or three of the iPhone, you missed a lot. So, this is really in the beginning, and what people are really skeptical about is the size. They’re already a huge market cap here, but there’s still room to go. And, obviously, Jensen is running around New York meeting investors all over the East Coast. He’s got a lot of good things to say, and I think you should listen to him.”
Investors will be keenly watching NVDA when the company reports its latest quarterly results next month.
Nvidia’s declines after the Q2 results were more or less expected amid Blackwell delay reports confirmed by management. However, the delays were mainly due to a change in Blackwell GPU mask. That does not affect the main functional logic or design of the chip, according to analysts. While Blackwell has been delayed for a few months, it does not change the core growth thesis for Nvidia.
Nvidia is set to see huge growth on the back of the data center boom amid the AI wave.
At Nvidia’s GPU Technology Conference in March 2024, CEO Jensen Huang estimated annual spending on data center infrastructure at about $250 billion. Over the next decade, this could total between $1 trillion and $2 trillion, depending on how long this level of investment continues. During the same Q&A session, Bank of America’s Vivek Arya echoed this estimate, suggesting the total addressable market would fall in the $1-2 trillion range, particularly as countries invest in their own AI infrastructure. By the end of the decade, spending could be at the high end of that range.
Of course, Nvidia won’t dominate the entire $2 trillion opportunity, as it faces competition from companies like AMD and internally developed AI accelerators from Google, Amazon, and even Apple. Some analysts believe Nvidia’s data center market share between 2025 to 2029 will be over $950 billion—less than half of the total market—but still enough to make it the leader in the sector.
Vltava Fund stated the following regarding NVIDIA Corporation (NASDAQ:NVDA) in its Q3 2024 investor letter:
“Over the summer, we devoted a lot of time to studying the AI-related investment wave. This spans a wide range of sectors and our view could be very briefly summarised as follows: The first-tier beneficiaries are primarily companies in the semiconductor sector, NVIDIA Corporation (NASDAQ:NVDA) perhaps the most. That company is benefiting from the huge increase in investment by large technology companies to build enormous data centres. We know who NVIDIA’s customers are. They are companies like Meta, Alphabet, Amazon, and Microsoft. They are investing hundreds of billions of dollars into their AI capabilities. What is not entirely clear, however, is who are and will be the customers of NVIDIA’s customers, and, more importantly, when, and if, they will be able to come up with such huge demand for AI services that the profits from AI will justify and pay for the enormous investments all these companies have been making. The further we move away from the starting point that NVIDIA represents in our more broadly-reaching estimates, the lessreliable those estimates are.So far, we know just one thing for sure, and that is that investments in AI capabilities are ongoing and they are huge. They are not only bringing large demand to chipmakers and the semiconductor sector but to some other sectors as well. Indeed, building AI clusters also requires the construction of new semiconductor factories, new energy sources, and all the associated infrastructure. The numbers under consideration are incredibly high. It is possible that over the next decade the construction of AI centres will necessitate a 20% increase in US energy consumption. The investment required will be measured not in the hundreds of billions of dollars, but in an order of magnitude higher. Maybe two orders of magnitude.”
Overall, NVDA ranks 5th on our list of trending AI stocks to watch in November. While we acknowledge the potential of NVDA, our conviction lies in the belief that under the radar 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.
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Disclosure: None. This article is originally published at Insider Monkey.
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