Artificial intelligence (AI) stocks have led the S&P 500 to tremendous gains in recent years. Leaders in the space, such as Nvidia and Alphabet, are heavily weighted in the index; therefore, their momentum helped propel it to an increase of 78% over the past three calendar years, and the benchmark now is heading for a 12% increase in 2026.
The reason for such AI excitement is simple. The technology has the potential to reshape the way business is done, and this could propel earnings significantly higher. AI may also boost innovation — for example, making it faster and easier for pharma and biotech companies to discover lifesaving drugs. So, investors bought shares in these players early in the growth story, hoping to score a significant win. In many cases, they won their bet as AI stocks surged in the double and triple digits.
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Over the past year, however, certain concerns have slowed the pace of AI stocks. They have still gained but have experienced periods of stagnation and even declines. Nvidia sank in the first quarter, then rebounded and is now heading for a 25% annual gain. This is positive, but pales in comparison to the stock’s 400% increase over three years.
Investors have worried that the current level of investment in AI infrastructure isn’t sustainable — and that any slowdown could crush AI stocks. So you may be thinking twice before you press the buy button, even when it comes to leading AI stocks. Against this backdrop, though, there are 321 reasons to buy AI stocks right now. Let’s zoom in for a look.
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Investing in AI infrastructure
First, it’s important to consider the headwinds that have interfered with AI stocks‘ momentum this year. As mentioned, tech companies are investing heavily in infrastructure to keep up with soaring demand for chips, networking equipment, and overall capacity for AI workloads. Industry leaders Meta Platforms, Alphabet, Amazon, and Microsoft together pledged to spend nearly $700 billion on the build-out this year alone.
Some of these players already are delivering explosive growth thanks to AI. For example, Amazon’s cloud computing unit, Amazon Web Services, has reached a $169 billion annual revenue run rate, driven by demand for AI products and services. Still, investors have worried that the enormous levels of investment today may overshoot the revenue opportunity down the road. At the same time, concerns about economic growth and rising inflation, as well as potential for additional rate hikes following the recent one, have hurt demand for growth stocks.
Source: finance.yahoo.com




