We recently published a list of Wells Fargo’s Tech Stocks To Beat The S&P: 14 Top AI & Non-AI Stocks. In this article, we are going to take a look at where Qorvo Inc. (NASDAQ:QRVO) stands against other Wells Fargo’s tech stocks to beat the S&P: 14 top AI & non-AI stocks.
As 2024 heads to a close, investors are now focused on the state of the economy, its influence on the Federal Reserve’s interest rate reduction cycle, and the potential offered by the technology industry. They beckon 2025 with a rather historic run on the stock market that has seen several high-growth technology stocks flourish despite the fact that until September, interest rates in the US were at a two-decade high level.
Driving the bullishness behind technology stocks is artificial intelligence. The revolutionary new technology that relies on high-end GPUs to run advanced mathematical techniques and infer new conclusions from existing data sets has been the focus of Wall Street and big technology companies. So far, most of the AI-related stock gains have been limited to the shares of Wall Street’s favorite graphics processing unit (GPU) company whose stock is up by more than 700% since OpenAI publicly released ChatGPT.
However, the gains have to broaden out to other stocks for the AI wave to continue. This broadening is dependent on the use of AI increasing among businesses and consumers. On this front, investment bank Wells Fargo has some insights to share. In its report titled ‘Generative AI — Potential pitfalls, challenges, and risks the bank outlines that while AI “has the potential to be broadly transformative,” there are several “outstanding questions and concerns that need to be addressed before it is widely accepted on a larger scale.” Quoting its ‘The AI Index 2024 Annual Report,’ the bank points out that from 2012 to 2023, the number of AI incidents has jumped more than tenfold from sitting at roughly 10 to ~122. These incidents cover the ethical misuse of AI such as the wrong detection of criminals stemming from facial recognition systems.
WF points out that while these incidents are concerning, other factors will also determine AI’s wider acceptability and use. Broadly speaking, these factors are growing energy requirements and capital expenditure costs, global geopolitical tensions, model inaccuracies, and regulatory constraints. The bank adds that these factors are also accompanied by the potentially transformative effect of AI on the labor market. Starting from its beliefs about the labor market, WF believes that generative AI, which is different from other AI systems such as machine learning, will have a more “nuanced” impact on the labor market compared to traditional AI. Commenting on common worries of AI taking jobs away, the bank outlines that the jobs that AI will replace will in turn be replaced by new jobs created by AI. To quote WF, it believes “generative AI’s disruptive effect on the labor market to mirror other forms of automation — as in the past, its impact likely will be mitigated over time by new occupations spawned by the innovations themselves.”
To help bolster its claim, WF shares data from MIT. It points out that MIT’s estimates show that “60% of U.S. workers are now employed in occupations that did not exist 84 years ago.” As for which job functions might give way to AI, these include knowledge-based roles such as those found in financial services and support roles such as those performed by customer support agents.
Two additional key disruptive AI effects that Wall Street in particular is keenly aware of are its rising costs and the effect on the utility industry. The S&P’s utility sector is up by 28.36% year-to-date which leads the broader index’s 26.48% in gains by nearly two percentage points. Commenting on this, the bank believes that “there will be a significant increase in hardware demand, notably within the data-center environment, to accommodate the substantial increase in AI workloads,” adding that “it may take a number of years to increase the operational efficiency of various large language models and decrease costs to a level more in-line with existing search engines.” WF also shares that while existing opportunities to expand data center footprint to accommodate AI are present, as they “diminish, companies may revisit existing data-center locations to retrofit and upgrade hardware and infrastructure in support of the power and data-consumption needs of new AI technologies.”
Given the criticality of the data center space to AI, WF expands on this sector in another report. Titled ‘Generative AI transforming data center landscape” it comments on the capital expenditure required to set up data centers, future trends for data centers, and the stock market sectors that might benefit from growing interest and focus on the data center industry. According to its analysis, investor attention is mostly focused on AI-related investments in semiconductors and cloud computing.
However, other sectors, such as “cabling; steel racks; cooling (liquid and air); electrical equipment (both inside and outside the box); and backup generators” are also important. WF quotes a utility company to explain why these tertiary sectors are critical in the AI wave. It shares that utility company believes that “the server rack power density required to train a generative-AI-based large language model can require up to five to seven times more power than server racks used for traditional IT workloads in a data center.”
While semiconductor companies are natural beneficiaries of the AI boom, some oft-ignored sectors that WF mentions are industrials and materials. It outlines that when it comes to building massive data centers, estimates suggest “that approximately 35% – 45% of the cost is related to land, building shell, and basic building fit-out. These areas are addressable by companies who supply steel, aggregates, cement, and water equipment and, by extension, construction and engineering firms as well as broad non-residential construction suppliers (such as industrial distributors).” Additionally, “40% – 45% and 15% – 20% of the remaining cost can be attributed to electrical and HVAC systems respectively,” according to Wells Fargo. AI is having an effect on materials, as per the bank, in the form of “increased demand for materials that are used in the production of semiconductor chips, water handling and recycling within data centers, and steel and construction materials to build data centers.”
For some materials stocks and a primer on how they are reliant on the broader economic activity, you can check out 10 Best Materials Stocks to Buy According to Hedge Funds.
Our Methodology
To make our list of Wells Fargo’s top AI & non-AI stocks that can outpace the flagship S&P, we selected technology-focused stocks from the bank’s recent Focus List and ranked them by their consensus next twelve-month EPS estimates.
For these stocks, we also mentioned the number of hedge fund investors. Why are we interested in 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 In Q3 2024: 235
NTM EPS Estimate: $24.35
Meta Platforms, Inc. (NASDAQ:META) is the world’s largest social media company. The firm operates Facebook, which allows it to have a whopping 3.2 billion users in its network. Additionally, its Instagram image-sharing service and WhatsApp communications platforms are among the most widely used in the world. Meta Platforms, Inc. (NASDAQ:META)’s indisputable moat in the social networking industry has also allowed it to generate considerable financial resources and use them to establish a foothold in the artificial intelligence industry. It is one of the handful of players in the AI industry with access to an in-house foundational AI model. Called Llama, Meta Platforms, Inc. (NASDAQ:META) competes through it with other AI giants like Google and Microsoft. As it has also invested billions into AI like its peers, the firm’s hypothesis is dependent on its ability to monetize its AI services offered to advertisers and users on its platforms. The AI services include AI campaign management and other platforms.
Polen Capital mentioned Meta Platforms, Inc. (NASDAQ:META) in its Q2 2024 investor letter. Here is what the fund said:
“Meta Platforms delivered robust results in the period, with revenue growth accelerating in the first quarter. However, revenue comparisons for Meta will become more difficult from here, and its guidance for 2Q revenue fell below market expectations. After the company’s “year of efficiency,” where it cut costs in its core business, management is now indicating another ramp-up in GenAI and metaverse spending, spurring concerns about future profit margins. Metaverse spending, by our calculations, is now over $20 billion per year with little to no expected return on the foreseeable horizon.”
Overall, META ranks 1st on our list of Wells Fargo’s tech stocks to beat the S&P: 14 top AI & non-AI stocks. META is a top cyclical stock Wells Fargo is confident about. While we acknowledge the potential of META as an investment, our conviction lies in the belief that 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 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.
