3rdPartyFeeds

NVIDIA Corp. (NVDA): An Unstoppable AI Stock To Buy Now

We recently compiled a list of the 7 Unstoppable Artificial Intelligence (AI) Stocks To Buy Now. In this article, we are going to take a look at where NVIDIA Corp. (NASDAQ:NVDA) stands against the other unstoppable AI stocks. Is Predictive AI Taking Over GenAI? Generative AI is taking the world by storm. This groundbreaking technology is […] Read More...

We recently compiled a list of the 7 Unstoppable Artificial Intelligence (AI) Stocks To Buy Now. In this article, we are going to take a look at where NVIDIA Corp. (NASDAQ:NVDA) stands against the other unstoppable AI stocks.

Is Predictive AI Taking Over GenAI?

Generative AI is taking the world by storm. This groundbreaking technology is capable of creating new content, such as text, images, and even music, based on the patterns it learns from existing data. The impact of this advancement in AI on businesses has been profound, with businesses using it to automate tasks, improve efficiency, and generate innovative solutions through personalized content.

While there are still challenges, GenAI’s potential is undeniable. AI companies have rolled out GenAI platforms, integrating large language models in them, that are a click away from the general public’s access. We talked about this earlier in our article about the 10 Best Small Cap AI Stocks to Buy According to Short Sellers. Here’s an excerpt from it:

“Large language models are a type of AI that uses deep learning techniques and massive datasets to understand, generate, and predict human language. They’re trained for all of this through statistical relationships from vast amounts of text. The reason why they became so popular in such a short time is because they can be fine-tuned for specific tasks or understand language better through specific prompts. LLMs like Gemini and ChatGPT-4 are Multimodal AI platforms that allow processing and generating multiple types of data simultaneously, such as text, audio, and visual inputs.”

GenAI has been popular recently due to advancements that have brought us models like ChatGPT-4, but predictive AI (or enterprise machine learning) has been prevalent in the business world for a longer period. It’s been used extensively for tasks like fraud detection, customer churn prediction, and market analysis. GenAI excels at creating new content, but predictive AI is better suited for tasks that involve forecasting future trends or predicting outcomes based on historical data.

Mature organizations with streamlined processes use predictive AI as it helps deliver high returns and improve the customer experience. Forbes reported that UPS saves $35 million annually by optimizing package delivery planning. A medium-sized bank could save $16 million annually by predicting fraudulent transactions. A marketing campaign could increase profit 5x by predicting consumer behavior.

GenAI spending was less than 7% of predictive AI last year. However, predictive AI’s potential remains largely untapped due to challenges in operationalization. It can operate autonomously, while GenAI often requires human oversight. It is also cheaper and has a smaller footprint than the latter. The global predictive AI market is expected to grow from $14.9 billion in 2023 to $108 billion by 2033, with a CAGR of 21.9% from 2024 to 2033, according to a report published by market.us.

Google AI’s investment of $100 billion in responsible AI initiatives, focusing on areas like healthcare, climate change, and cybersecurity, indicates this sector’s importance and potential. Similarly, SoftBank’s $3.5 billion fund for predictive AI startups and Sequoia Capital’s substantial investment in PreCog are also examples of this. In 2023, the Large Enterprises segment captured more than a 65% share in the Predictive AI market.

Predictive AI is used for large-scale operations, learning from data to predict outcomes and behaviors, and guiding millions of daily operational decisions. Such use cases are further a testament to how artificial intelligence is now an integral part of major industries of the world, whether directly or indirectly.

Methodology

To compile our list, we sifted through ETFs, online rankings, and internet lists to compile a list of 15 AI stocks. We then selected the 7 stocks that were the most popular among elite hedge funds and had gained at least 30% year to date. The stocks are ranked in ascending order of the year-to-date performance, as of September 4.

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 Corp. (NASDAQ:NVDA)

Number of Hedge Fund Holders: 179

Performance (Year-to-Date) as of September 4: 118.08%

NVIDIA Corp. (NASDAQ:NVDA) is the pioneer of GPU-accelerated computing, specializing in products and platforms for the large, growing markets of gaming, professional visualization, data center, and automotive. In other words, it’s a designer and manufacturer of graphics processing units (GPUs).

GenAI is driving data center growth. Next-gen models need 10-20x more compute and data and that’s where Nvidia comes in with its extremely powerful chips.

In FQ2 2025, there was a 122.40% year-over-year improvement in the company’s revenue. Data center revenue alone was up 54%. Cloud service providers represented roughly 45%  of data center revenue. Compute revenue grew more than 2.5 times, and networking revenue grew more than 2 times from the last year.

In August, management approved a buyback of $50 billion in equity shares. Its shares were held by 179 hedge funds. Fisher Asset Management is the biggest shareholder with shares worth $11.54 billion, as of June 30.

The company unveiled Blackwell, a new architecture for AI factories and data centers. It combines multiple GPUs, CPUs, DPUs, and networking components to power next-GenAI. The GB 200 NVL72 system delivers up to 30 times faster inference for LLMs and workloads.

Demand for Blackwell and Hopper is strong, with Blackwell production starting in FQ4. Spectrum-X, a high-performance Ethernet platform, is gaining traction in the market. Sovereign AI opportunities are expanding as countries prioritize AI development.

NVIDIA Corp.’s (NASDAQ:NVDA) future success depends on continued innovation in AI. Market experts are forecasting a shift to robotics for the company’s growth. Management expects AI revenue to reach low-double-digit billions this year.

Aoris International Fund stated the following regarding NVIDIA Corporation (NASDAQ:NVDA) in its Q2 2024 investor letter:

“If Information Technology was the dominant sector for the quarter, NVIDIA Corporation (NASDAQ:NVDA), which is the largest supplier of microprocessors used for generative AI applications, was the dominant company. NVIDIA’s share price rose by a third in the quarter and has increased by 255% so far this year. Since the beginning of 2023, its market value has risen by 8.3x, or $4.3 trillion, making NVIDIA the third largest company in the world by this measure.

As a result of the unusually strong stock price performance from NVIDIA and a few other large companies, equity markets have become increasingly concentrated. You can see this in the chart below, which shows that on 30 June, 27% of the market value of the 500 largest US companies was attributable to just five companies, more than twice the average of the last 20 years.

The composition of the Aoris International Fund will always be very different to that of the broader equity market. There will be periods, such as the most recent quarter, where this contributes to our performance lagging that of our benchmark. When it comes to NVIDIA and other AI-centric companies, rapid growth is exciting, but it makes it difficult for us to judge what is normal. Our preference is to own established leading companies where we can make a more confident, evidence-based judgement about their growth and profitability.”

Overall NVDA ranks 2nd on our list of the unstoppable AI stocks to buy. While we acknowledge the growth potential of NVDA as an investment, our conviction lies in the belief that AI stocks hold great promise for delivering high 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: $30 Trillion Opportunity: 15 Best Humanoid Robot Stocks to Buy According to Morgan Stanley and Jim Cramer Says NVIDIA ‘Has Become A Wasteland’.

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

Read More

Add Comment

Click here to post a comment