We recently compiled a list of the 10 Best AI Stocks to Buy According to Reddit. In this article, we are going to take a look at where Meta Platforms Inc. (NASDAQ:META) stands against the other AI stocks.
As artificial intelligence becomes more prevalent in current world affairs, new patterns concerning its research and development strategies are also emerging. Traditionally, academia has focused on basic research and education, while industry concentrated on applied research and commercialization. However, in recent years, the commercial sector’s dominance in AI investment and research has raised concerns about the balance of power. The shift of researchers from academia to industry has also raised questions.
Advanced AI systems increasingly require large amounts of data, compute power, and funding resources that industry actors possess in greater quantities than academia and nonprofits. Hence, AI research, which was originally the domain of academia in the early 2000s is now being taken over by industry.
We recently talked about this division in another article we published, 7 Most Popular AI Penny Stocks Under $5, here’s an excerpt from it:
“A recent study from Stanford University found that businesses train AI models faster than academic institutions. In 2023, the industry-trained AI neared 51 significant machine learning models, while academia managed only 15. This trend persisted in 2024 despite rising training costs. ChatGPT 4, the latest model of ChatGPT, cost about $80 million to train. Google’s Gemini Ultra cost around $191 million.”
A 2021 Stanford report says that the reason behind the blurring roles of academia and industry is that businesses come with affordable cloud computing, open-source libraries, and pre-trained models that incentivize university researchers to pursue commercial applications of their work. More and more industry papers are now appearing at conferences, raising concerns about applied research stifling long-term innovation or being biased toward corporate interests, all while also accelerating solutions for real-world problems.
A 2023 paper in the journal Science states that businesses attract 70% of the top talent with PhDs in AI today, as compared to just 20% 2 decades ago. The number of AI research faculty in academia has stagnated, while industry hiring has surged 8 times since 2006. Industry models being substantially larger (about 29 times), indicating superior computing power, is a huge reason behind this.
In 2021, US government agencies allocated a total of $1.5 billion for academic AI research, while Google spent the same amount on a single project in just one year.
The largest AI models are now developed in industry 96% of the time. Leading benchmarks are also primarily industry-driven, accounting for 91% of the total. Furthermore, the number of published papers with industry co-authors has nearly doubled since 2000.
Yet, there’s another anticipated shift as academic researchers are increasingly able to deploy their inventions in real-world settings. Duolingo, a language learning app developed by academics, is a successful example.
A distinguished MIT professor, Frédo Durand, believes academia can still be a driving force for innovation. He says that 25 years ago, the field of computer graphics in academia faced a similar resource imbalance where the industry created stunning visuals that academia couldn’t match. However, instead of trying to mimic industry, academia took a different path and focused on ideas like advanced lighting simulations, fluid dynamics, and machine learning for animation. These seemingly outlandish ideas eventually became the foundation of modern rendering and graphics hardware.
Durand believes this approach holds valuable lessons for AI research. He emphasizes the importance of academia pursuing unconventional approaches, openly sharing their work, and maintaining a sense of excitement about the field.
However, he recognizes the challenges for academia and suggests potential solutions including increased government funding for academic research, shared research infrastructure, and strategies to keep top AI talent within academia. While industry seems to be taking over AI in general, collaborative partnerships with academia could yield better results. In one way or the other, AI will remain a hot topic in the coming times.
Methodology
To compile our list, we sifted through several active subreddits to compile a list of 15 AI stocks to buy. We then selected the 10 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 Q2 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 team of developers working in unison to create the company’s messaging application.
Meta Platforms Inc. (NASDAQ:META)
Number of Hedge Fund Holders: 219
Meta Platforms Inc. (NASDAQ:META), formerly known as Facebook, is a multinational technology conglomerate that focuses on social media and online services and engages in the development of products that enable people to connect worldwide.
Their most well-known platforms include Facebook, Instagram, WhatsApp, and Messenger, with over 3.2 billion users as of March. It monetizes through business users and AI-driven ad improvements and managed to grow twice as fast as Google in the ads space in Q2 2024, despite an increase in price per ad figures.
In the second quarter, the company saw a 7% increase in daily active users while achieving a remarkable 73% increase in earnings per share, and a 22.10% rise in revenue as compared to the prior year. This translated into a revenue of $39.07 billion. The revenue surge came from a 10% increase in both the number of ads served and the cost per ad. 219 hedge funds were long in Meta (NASDAQ:META) as of June 30. GQG Partners is the top investor with a stake worth $5.4 billion.
Meta Platforms Inc. (NASDAQ:META) has acquired nearly 600,000 of Nvidia’s H100 GPUs and is also developing its custom chip. It has introduced its own AI models, such as Llama, which is integrated into its apps and is available to external developers.
Its strong user base, AI expertise, and advanced advertising drive its growth. Through these strengths and a focus on innovation, it is well-positioned for future success. The company’s expansion into the metaverse, powered by AI and immersive technologies, creates new growth opportunities. Their AI-driven products, like Meta AI and Meta Smart Glasses, offer unique experiences to users.
Fred Alger Management stated the following regarding Meta Platforms, Inc. (NASDAQ:META) in its Q1 2024 investor letter:
“Meta Platforms, Inc. (NASDAQ:META) operates the world’s largest social network, with over 3 billion monthly active users across its platform. The company generates revenue predominantly from advertising. which accounts for over 95% of its total revenue, evenly split between North America and international markets. During the quarter, shares contributed to performance following the release of strong fiscal fourth quarter operating results, with revenues and earnings surpassing analyst estimates. The better-than- expected revenues were attributed to strong advertiser demand and Al-driven ad improvements. Moreover, the company materially raised its fiscal first quarter sales and earnings guidance above analysts’ estimates, buoyed by continued strong advertiser demand trends and enhancements to Reels. Advantage+. Click-to-message, and Shop Ads. Further, management noted that ongoing investment in Al is enhancing user engagement and advertiser returns through improved targeting and measurement. Separately, Meta authorized a new share repurchase plan representing approximately 5% of its market capitalization and announced the initiation of its first dividend, implying an approximate 0.4% yield.”
Overall META ranks 1st on our list of the best AI stocks to buy. While we acknowledge the potential of META 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 META 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.
