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Earnings From Taiwan Semiconductor and ASML Show Soaring Demand, So Why Are AI Stocks Falling? (And Here’s What Investors Should Do Next.)

Artificial intelligence (AI) stocks have been on fire in recent years, leading the S&P 500 higher in this bull market. Investors rushed to get in on these players early in their growth stories, and this move paid off: Companies such as Nvidia, Palantir Technologies, and Alphabet have seen revenue climb thanks to their AI businesses, and their stock prices have followed.

But, over the past few months, investors have thought twice before picking up AI stocks — even as messages from the biggest players remain positive. The latest example unfolded last week, as Taiwan Semiconductor Manufacturing Co. (NYSE: TSM) and ASML (NASDAQ: ASML) reported earnings that beat estimates and spoke of soaring demand. Yet their shares, as well as shares of other AI players, fell.

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Why are AI stocks declining? And should we buy on the dip or stay away? Let’s find out.

An investor looks at declining stock chart on a tablet.
Image source: Getty Images.

From the early AI boom to now

First, a quick look at the general AI story. In the earliest stages of this boom, AI customers focused on training models, and this resulted in growth for chip designers and manufacturers and other infrastructure players. These companies, such as TSMC, Nvidia, and ASML, generated significant earnings growth, making them early winners of the AI revolution.

Training remains an ongoing task in AI, but it’s now joined by others, such as the actual application of AI to problems and the expansion and development of AI across various fields, such as telecom and robotics. And this means a broader range of companies — and investors — could benefit. Analysts forecast that the AI market will reach beyond $3 trillion by early next decade, suggesting this could continue to be a major growth space for quite some time.

Now, let’s consider what’s unfolded in recent times and this week. Though the AI story looks promising, general uncertainties such as conflict in Iran and higher prices in the U.S. have weighed on investor appetite for stocks seen as “risky” due to their reliance on a growth environment. This has prompted investors to rotate, at least partially, into “safer” companies — such as pharmaceutical players that maintain a certain steadiness in sales due to the essential nature of their products.

On top of this, the enormous spending on the AI build-out has worried some investors — the concern is that the revenue opportunity may disappoint. Tech giants have said they aim to spend almost $700 billion this year on AI infrastructure.

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