A Once-in-a-Decade Opportunity: 1 Artificial Intelligence (AI) Stock to Buy Before It Soars 60%, According to Wall Street
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Artificial intelligence (AI) stocks have generated tremendous growth for investors over the past few years. This period represented the early part of the AI boom, as large language models were trained, fueled by powerful chips, and we began to see the potential of AI. Investors rushed to get in on shares of these companies, aiming to bet on technology that would reshape industries and our daily lives.
Over the past year, however, investors have become more cautious about AI stocks. As tech giants from Amazon to Alphabetspend hundreds of billions of dollars on an <a href="https://bitcomme.com/ncsc-chief-warns-of-ai-ransomware-threat-to-uk-critical-infrastructure-2/” title=”NCSC Chief Warns of AI Ransomware Threat to UK Critical Infrastructure”>infrastructure build-out, investors question whether this spending is sustainable and worthwhile considering the future revenue opportunity. This sentiment has weighed on AI stocks this year, causing ups and downs for some and even declines for others.
Missed AI’s “Act 1”? Act 2 Could Be 16x Bigger.Most investors think they missed the AI boat because they didn’t buy Nvidia in 2005. But according to our analysts, we’re only at the end of “Act 1″—the R&D phase. “Act 2” is the global rollout.Continue »
But this moment of uncertainty also means that certain high-quality AI stocks, ones with bright long-term outlooks, are now trading at reasonable or even cheap valuations. With this in mind, let’s check out one of these once-in-a-decade buying opportunities. Here’s one AI stock to buy before it soars 60%
A triple-digit gain over three years
This particular stock climbed more than 300% over the past three years, but this year, it’s only advanced about 9%. Meanwhile, this player’s earnings continue to roar higher. I’m talking about Nvidia (NASDAQ: NVDA). This tech giant was the star of the earliest stage of the AI boom because its AI chips, known as graphics processing units (GPUs), were the first to market and demonstrated their speed and efficiency. As rivals joined the space, Nvidia’s commitment to innovation kept it a step ahead.
Since, the company has added a wide range of products and services to its portfolio, making itself the “go-to” place for anything AI. Nvidia has also developed platforms to serve the needs of specific industries, such as drug development for biotech and pharma companies. And Nvidia has expanded its presence in the AI field, most recently offering to buy the open-
Nvidia’s work in AI has resulted in explosive growth in revenue and profit, particularly compared to levels many years ago — when its GPUs primarily served the video gaming market.
