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 Amazon.com, Inc. (NASDAQ:AMZN) 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 customer entering an internet retail store, illustrating the convenience of online shopping.
Amazon.com, Inc. (NASDAQ:AMZN)
Number of Hedge Fund Holders In Q3 2024: 286
NTM EPS Estimate: $5.85
Amazon.com, Inc. (NASDAQ:AMZN) is the world’s largest eCommerce retailer and one of the dominant players in the cloud computing industry. The dual nature of its operations means that the firm benefits from a high-volume business through eCommerce and high-margin operations via cloud computing. Amazon.com, Inc. (NASDAQ:AMZN)’s eCommerce business depends on the firm’s ability to make fast deliveries, strive towards last-mile deliveries, modernize its warehouse operations, and lead the industry in these metrics. It benefits from its scale which enables Amazon.com, Inc. (NASDAQ:AMZN) to extract favorable deals from sellers. Additionally, the firm’s AWS business provides it with exposure to the enterprise demand for AI services. The firm’s sizable resources have provided it with access to a foundational AI model through Anthropic’s Claude, and looking ahead, Amazon.com, Inc. (NASDAQ:AMZN) depends on the ability to capture business AI spending via AWS and maintaining volumes and margins with its eCommerce business.
Polen Capital mentioned Amazon.com, Inc. (NASDAQ:AMZN) in its Q3 2024 investor letter. Here is what the fund said:
“The largest absolute detractors were Alphabet, Airbnb, and Amazon.com, Inc. (NASDAQ:AMZN). Amazon’s position as a notable detractor speaks more to the size of the position than the magnitude of the underperformance, as the company delivered a solid set of results during the quarter.
We trimmed our positions in Amazon, Alphabet, and Microsoft during the quarter. As we have previously, we trimmed Amazon slightly to bring the weight back to 15% for risk management purposes. We remain very positive on our investment thesis of strong revenue growth and even stronger earnings and free cash flow growth continuing over the next few years.”
Overall, AMZN ranks 12th on our list of Wells Fargo’s tech stocks to beat the S&P: 14 top AI & non-AI stocks. AMZN is a top cyclical stock Wells Fargo is confident about. While we acknowledge the potential of AMZN 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 AMZN but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.
READ NEXT: 8 Best Wide Moat Stocks to Buy Now and 30 Most Important AI Stocks According to BlackRock
Disclosure: None. This article is originally published at Insider Monkey.
