We recently published a list of 15 AI Stocks Surging on News and Analyst Ratings. In this article, we are going to take a look at where Snowflake Inc. (NYSE:SNOW) stands against other AI stocks that are surging on news and analyst ratings.
According to an analysis by global management consulting firm McKinsey & Company, data centers are projected to require $6.7 trillion in capital expenditures worldwide by 2030 to keep up with the demand for compute power.
Those data centers that are equipped to handle AI processing loads are projected to require $5.2 trillion in capital expenditures. Meanwhile, those powering traditional IT applications are projected to require $1.5 trillion, totaling up to a staggering figure close to $7 trillion.
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The report further claims that the companies that anticipate compute power demand and invest accordingly will win the AI-driven computing era. By proactively securing critical resources such as land, materials, energy capacity, and computing power, they would have the potential to gain a significant competitive edge.
Different analysts seem to have differing perspectives on this $7 trillion figure. Wes Cummins, CEO of Applied Digital, believes that the $7 trillion estimate appears to be “on the high end.”
“If we’re talking just the next five years, I think that’s a hard number to hit, just from the practicality of building and finding enough power.”
On the other hand, Steven Lim from NTT Global Data Centers asserted that the large figure is not that far-fetched.
“If we have an idealized situation and a consistent demand curve that we see today, then $7 trillion is not out of bounds.”
While the opinions on the feasibility of this estimate may vary, one thing that is clear is that the race to build AI-ready infrastructure is accelerating. As the demand for compute power surges to new heights, the ability to scale efficiently will determine which companies will lead the AI era and which ones will fall behind.
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).
A software engineer at work, surrounded by a wall of computer monitors connected to a ‘Data Cloud’ platform.
Snowflake Inc. (NYSE:SNOW)
Number of Hedge Fund Holders: 85
Snowflake Inc. (NYSE:SNOW) is a cloud-based data storage company providing a data analysis, storage, and sharing platform. One of the most notable analyst calls on Monday, May 19, was for Snowflake Inc. Goldman Sachs reiterates Snowflake as “Buy.” The firm said it is bullish on the stock heading into earnings on Wednesday.
“We continue viewing Snowflake as a high-quality asset capable of scaling to $10bn+ with durable mid-20′s topline growth and 25%+ FCFM [free cash flow model].”
On the same day, Snowflake also received a Buy rating and a $240.00 price target from Needham analyst Mike Cikos.
Overall, SNOW ranks 9th on our list of AI stocks that are surging on news and analyst ratings. While we acknowledge the potential of SNOW as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than SNOW and that has 100x upside potential, check out our report about this cheapest AI stock.
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Disclosure: None. This article is originally published at Insider Monkey.
