We recently compiled a list of the 35 AI News and Ratings You Should Not Miss. In this article, we are going to take a look at where Amphenol Corporation (NYSE:APH) stands against the other AI stocks that you should not miss.
Data center investments by hyperscalers to leap ahead in the artificial intelligence (AI) race are a hot topic on Wall Street. A latest study into the matter by consulting firm McKinsey sheds further light on the European market in this regard. According to the McKinsey report, data center power consumption in Europe is set to nearly triple by 2030, necessitating a significant increase in electricity supply, particularly from low-carbon sources, along with upgrades to grid infrastructure. McKinsey estimates that the total IT load demand from data centers in Europe is expected to grow to approximately 35 gigawatts (GW) by 2030, up from 10 GW presently. Current trends also indicate that data center power consumption in the region is anticipated to triple to over 150 terawatt hours (TWh) by the end of this decade.
Read more about these developments by accessing 10 Best AI Data Center Stocks and 10 Buzzing AI Stocks According to Goldman Sachs.
The report further reveals that data centers are expected to represent about 5% of Europe’s total power consumption in the next six years, compared to roughly 2% at present. Meeting this growing demand will require a minimum investment of around $300 billion in data center infrastructure, excluding power generation capacity. The report also highlighted that satisfying the increased electricity demand will require a substantial boost in supply, which represents a significant shift for Europe, where overall power demand has remained largely unchanged since 2007. Kevin Restivo of CBRE recently highlighted that demand for data center space in Europe is set to outstrip delivery of new stock for the third straight year and AI demand will exacerbate the issue.
Read more about these developments by accessing 30 Most Important AI Stocks According to BlackRock and Beyond the Tech Giants: 35 Non-Tech AI Opportunities.
Our Methodology
For this article, we selected AI stocks by combing through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds.
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).
Amphenol Corporation (NYSE:APH)
Number of Hedge Fund Holders: 72
Amphenol Corporation (NYSE:APH) specializes in designing, manufacturing, and marketing electrical, electronic, and fiber optic connectors. On October 23. Bank of America analyst Wamsi Mohan raised the price target on the stock to $74 from $70 and kept a Neutral rating on the shares. Amphenol had a strong quarter, with both revenue and EPS beating guidance and Street estimates, and Q4 and the fiscal year outlook was guided conservatively, the advisory told investors in a research note. CapEx stepped up meaningfully and could reflect the company’s confidence in AI orders into 2025, the note underlined, adding that $2 billion in incremental revenues at 35% incremental margins could drive significant upside to consensus in EPS, but the advisory isn’t ready to underwrite this notion as of yet given view of continued design changes at some large programs.
Overall APH ranks 20th on our list of the AI stocks you should not miss. While we acknowledge the potential of APH as an investment, our conviction lies in the belief that some 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 APH 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.