Investors have struck gold with artificial intelligence (AI) stocks over the past few years. Companies involved in AI development and sales experienced significant increases in their stock prices as many looked to get ahead of this emerging technology. In the initial phase of the AI boom, those businesses were quick to cash in on their investments. For instance, chip manufacturers saw their revenues spike as demand surged for chips that enable the training of large language models—essentially the backbone of AI.
However, the landscape for AI stocks hasn’t been all rainbows and butterflies recently. There has been a noticeable drop in AI stock prices, with many investors shifting their focus away from AI giants to diversify into other sectors. This shift is largely due to various uncertainties—everything from economic troubles to fears of global conflicts—putting a damper on the appetite for growth investments.
That said, this certainly doesn’t signal the end for AI. There are still opportunities to buy in, and if you’re keen on spotting long-term winners following the recent market dip, there’s a way to approach it.
Today’s AI Environment
First off, it’s worth examining the current state of AI and what lies ahead. Over the last few quarters, cloud companies have poured billions into enhancing their infrastructure to cater to skyrocketing demand. And it’s expected to continue. Major players in the cloud space are set to invest close to $700 billion even this year to bolster their capabilities.
Even though some investors might worry about the speed of this expenditure, the need for such infrastructure remains strong. Additionally, the future of AI use hinges on substantial computing power. So it’s not just about meeting current needs; future demands will most likely increase as well.
When hunting for AI stocks that stand a good chance of thriving in the long haul, consider four key aspects. Ideally, the stocks you choose should embody all of these traits.
1. AI Growth Track Record
The ideal company has shown solid revenue growth early in the AI boom. They have carved out a niche in this vibrant market, proving that their products and services can generate significant income.
An example here is Palantir Technologies, which has gained traction with both government and commercial clients by providing AI-driven software to enhance data utilization. With over 20 years of refining its technology, Palantir is now reaping the rewards of its dedication.
2. Clear Long-Term Outlook
Look for AI companies that set realistic goals, with products and services designed for sustainable future growth. Nvidia fits this bill well. The AI chip giant has plans to refresh its chip offerings annually, helping it to stay ahead of the curve.
Chips are essential for real-world AI applications, so as long as AI remains relevant, Nvidia is likely to play a pivotal role.
3. Diverse Portfolio
While companies focused narrowly on one niche may succeed in AI, they often carry a higher risk compared to those with a broader scope. Take Amazon, for example. As a leader in e-commerce and cloud services, it also excels in AI through its cloud arm. Given its size and reach, Amazon is well-positioned to continue benefiting from both AI and non-AI-related ventures.
4. Strong Competitive Moat
Solid competitive advantages ensure that leading firms remain at the top. For instance, Taiwan Semiconductor Manufacturing Company is the largest chip manufacturer globally, boasting the resources and know-how to maintain that status. Competing companies will find it challenging to duplicate TSMC’s influence and entice major tech clients away from it. Essentially, the “moat” separates the AI winners from the losers as this narrative unfolds.
Final Thoughts
While I highlighted a specific company for each characteristic, many firms possess all four qualities that contribute to success in AI. A broad selection exists that meets these criteria. It’s also crucial to assess valuations and focus on stocks that may be undervalued at present. By employing this strategy, you can capitalize on the recent market downturn to identify AI stocks likely to thrive in the long term.
