Is NVIDIA Corp. (NASDAQ:NVDA) the Best Tech Stock to Buy For Long-Term Investment?

We recently published a list of 12 Best Tech Stocks to Buy For Long-Term Investment. In this article, we are going to take a look at where NVIDIA Corp. (NASDAQ:NVDA) stands against other tech stocks to buy for long-term investment.

On April 1, Chris Verrone, chief market strategist at Strategas Research Partners, appeared on CNBC’s ‘Closing Bell’ to talk about his outlook on the tech sector. Verrone believes that most of the current market’s negative sentiment has already been factored into recent stock prices. He highlighted that even after the market’s decline, the VIX, and the currency and bond volatility are lower than they were during the mid-March stress period. Plus, fewer stocks are hitting new lows. He thinks that market lows are formed during periods of bad news, and the market will rally from its current level with an anticipated range of 5,900 to 5,950.

Verrone believes that the current downturn is more than a typical 10% correction so it will take some time to figure out the market’s true direction. He emphasized the importance of monitoring market breadth, new highs, and credit conditions in the upcoming weeks and months. He also acknowledged the shift in investor sentiment, with more bears than bulls. As the conversation touched on the impact of the Fed and politics in a market, Verrone stated that he pays more attention to what the 2-year Treasury yield tells him instead of listening to what Fed officials have to say. He noted that the 2-year yield’s decline from 3.83% to 3.85% suggests a shift in the market expectations for the Fed’s actions. He highlighted the resilience of financials during the correction and contrasted it with the weakness of tech. He thinks that, unlike financials that entered the correction as leaders, the tech sector might not be able to regain the leadership role.

While Verrone’s stance acknowledges the current weakness in tech, it’s important to note that the tech sector remains one of the more innovative markets in the long run. For instance, MAG7 continues to be a driving force for this market.

Our Methodology

We first sifted through financial media reports to compile a list of the top tech stocks that are being touted as long term investment plays. We then selected the 12 stocks that were the most popular among elite hedge funds and that analysts were bullish on. The stocks are ranked in ascending order of the number of hedge funds that have stakes in them, as of Q4 2024. The hedge fund data was sourced from Insider Monkey’s database which tracks the moves of over 900 elite money managers.

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).

Is NVIDIA Corporation (NVDA) the Top Stock in Ken Griffin’s Portfolio to Buy According to Analysts?

A close-up of a colorful high-end graphics card being plugged in to a gaming computer.

NVIDIA Corp. (NASDAQ:NVDA)

Number of Hedge Fund Holders: 223

NVIDIA Corp. (NASDAQ:NVDA) is a computing infrastructure company. Its Compute & Networking segment comprises Data Center computing platforms and end-to-end networking platforms. The Graphics segment offers various GPUs for gaming, PCs, enterprise workstation graphics, cloud-based visual & virtual computing, infotainment systems, and others.

The company’s Data Center segment generated a record $35.6 billion in FQ4 2025 revenue which marked a 93% year-over-year rise. For the entire FY25, the revenue doubled as compared to the year-ago period due to the surging demand for AI infrastructure. The adoption of the company’s Blackwell architecture drove this growth. In FQ4 alone, Blackwell’s sales reached $11 billion and marked the fastest product ramp in the company’s history. It delivers up to 25x higher token throughput and 20x lower cost than the Hopper 100 for reasoning AI.

On March 28, Bank of America reiterated a Buy rating with a $200 price target for the company due to its optimism about NVIDIA Corp. (NASDAQ:NVDA) despite the new US AI Diffusion Rules that impact AI chip distribution. Large cloud service providers (CSPs) like Azure, GCP, AWS, and OCI are deploying Blackwell systems to meet the growing demand for AI infrastructure. Consumer internet companies such as Meta are using its GPUs for GenAI and deep learning applications.

Guinness Global Innovators is highly bullish on NVIDIA Corp. (NASDAQ:NVDA) due to its dominant AI chip market position. It stated the following in its Q4 2024 investor letter:

“For a second year running, NVIDIA Corporation (NASDAQ:NVDA) was the Fund’s top performing stock, delivering a stellar return of +177.7% over the year. Since the beginning of last year, Nvidia’s ‘Hopper’ GPUs have been at the centre of exploding demand for chips powerful and efficient enough to facilitate the energy intensive requirements of AI processes within datacentres. Initially possessing over 95% of market share in these types of chips, Nvidia have been quick to entrench their position as the technological leader in the space, launching the successor to the current ‘Hopper’ GPU in March, Blackwell, inhibiting the likes of AMD and Intel making meaningful inroads in taking share of the fast-growing market. Compared to the previous iteration (Hopper) which is continuing to fuel Nvidia’s extreme revenue growth, the Blackwell chip is twice as powerful for training AI models and has 5 times the capability when it comes to “inference” (the speed at which AI models respond to queries). Throughout the year, Nvidia’s financial performance has remained resilient. Quarterly revenues hit $35.1 billion in their most recent quarter, beating consensus expectations by 6% and representing a +94% year-over-year increase. Additionally, Nvidia’s data centre segment, driven by the Hopper (H100) chip, grew fivefold over the past year, underscoring the sustained demand for advanced AI infrastructure. The H100 chip, priced at around $40,000, continues to see significant adoption due to its ability to enhance AI model training efficiency while lowering overall costs. This growth is expected to continue as companies invest in upgrading existing data centres and building new ones, with Nvidia well-positioned to capture a significant share of the estimated $2 trillion market opportunity over the next five years. There have been some concerns over Blackwell production delays causing share price volatility however, Nvidia has recovered swiftly, driven by positive earnings results through the year and assurances from management regarding future supply. Additionally, the release of the H200 chip promises to extend Nvidia’s technological leadership, ensuring continued momentum into 2025. While Nvidia’s valuation remains a topic of debate, the stock is not at a significant premium to history, and it still appears reasonable given its dominant market position, innovative prowess, and exposure to long-term secular growth trends in AI, cloud computing, and data infrastructure. As a result, Nvidia remains well-positioned to deliver sustained outperformance over the long term, making it a cornerstone of growth-oriented portfolios.”

Overall, NVDA ranks 5th on our list of the best tech stocks to buy for long-term investment. While we acknowledge the growth potential of NVDA, our conviction lies in the belief that AI stocks hold great promise for delivering high returns and doing so within a shorter time frame. There is an AI stock that went up since the beginning of 2025, while popular AI stocks lost around 25%. 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 Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires

Disclosure: None. This article is originally published at Insider Monkey.