If you’ve had a top position in artificial intelligence (AI) for the past two years, it probably includes many of the same names: NVIDIA, Advanced Microdevices, Microsoftsome hyperscalers and maybe some software as a service (SaaS) plays that had “AI” somewhere in the investor deck. Back then, if a CEO or someone on an earnings call whispered “AI implementation,” it seemed like the stock would skyrocket 15% overnight.
Today, if you’ve been paying attention, the list of trending AI stocks looks different. As a result, some AI positions have declined significantly. Some of the things you didn’t own are gone.
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The rotation away from AI began quietly. In early 2026, investors began asking a question the market had avoided for two years: If AI is going to reshape every industry (i.e., will AI steal my job?), why are companies being reshaped trading at the same multiples as those being reshaped?
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Morgan StanleyThe Global Investment Committee put together a useful framework: The market is moving from AI “builders” – infrastructure providers and chip companies – to AI “adopters”, which are companies that use AI to increase productivity and margins, as shown in their earnings statements.
The other side of the coin is the repricing of companies most at risk of disruption. That’s what happened with the software. The software sell-off was not irrational, even if it was exaggerated. It was the market that attempted to separate companies whose pricing power survives AI from those that lose it.
When Anthropic launched agent tools that could automate enterprise workflows, the market asked a reasonable question: Why pay per-seat SaaS fees if AI can do the job? The resulting sell-off panic punished the good companies along with the bad, but the underlying question is legitimate.
Meanwhile, semiconductors held out. For example, the Russell 1000 Semiconductor The index diverged sharply from the software sector of the Russell 1000. Physical AI infrastructure continued to grow. Data center cooling companies reported record delays. Fiber connectivity companies launched new density-optimized product lines for hyperscale environments. The parts of the AI stack that are paid in real dollars, in real contracts, continued to grow.
A portfolio built for the next phase of AI trading looks less like a concentrated technology bet and more like a layered infrastructure position.
Think about it in terms of who gets paid, regardless of which AI platform wins. Cooling infrastructure doesn’t care if OpenAI, Anthropic or Alphabet wins the modeling race. Data centers need chillers anyway.
A good example here is Vertiv(NYSE: VRT). This company is a direct beneficiary of AI power and cooling demands, supplying the thermal infrastructure that every data center needs, regardless of which model wins. another is Equinix(NASDAQ: EQIX)which operates the physical backbone of the Internet, leasing data center capacity and interconnection services that scale alongside AI workloads.
Fiber connectivity doesn’t care if the winning AI runs on Nvidia or AMD GPUs: it needs fiber either way. Enterprise AI tools deployed at scale on long-term contracts have revenue visibility that doesn’t change price with every quarterly sentiment change. amphenol(NYSE: APH) powers AI clusters with high-speed connectors and interconnection systems that become increasingly critical as computing density increases.
Here’s a subjective view of an AI portfolio that looks different than it did six months ago: The change itself is a sign that the business is maturing, not dying. Bull markets in the early stages of any major technological change tend to make everything better because optimism is high and the future seems limitless, full of venture capital funding.
But the next phase is much less forgiving, as speculation fades and the difference between real deals and hype becomes clear. The companies that endure this kind of turnover, those worth owning a year from now, will be those with enduring demand and a clearly defined role in the AI ecosystem that holds up even as confidence cools.
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Micah Zimmerman has no position in any of the stocks mentioned. The Motley Fool positions and recommends Advanced Micro Devices, Alphabet, Amphenol, Equinix, Microsoft, Nvidia, and Vertiv. The Motley Fool has a disclosure policy.
Your artificial intelligence (AI) portfolio probably looks very different than it did six months ago. Here’s why it’s okay. was originally published by The Motley Fool
