Becoming a millionaire through artificial intelligence (AI) investing doesn’t necessarily mean betting on the next big chipmaker; it could mean finding the companies solving the infrastructure bottlenecks behind the boom. These three stocks are powering the AI build-out in different ways, and if the growth continues, they could have serious millionaire-making potential.
1. Astera Labs
Astera Labs (ALAB -2.06%) solves a problem nobody thought about until AI clusters got enormous. When you connect thousands of accelerators, the signal degrades over distance, and the connection between compute and memory becomes the bottleneck rather than the compute itself.
Image source: Getty Images.
Revenue hit $308.4 million in the first quarter of 2026, up 93% year over year, with gross margin at 76.3%. That margin tells you this is a design business, not a manufacturing one.
Astera Labs’ Scorpio product family is worth paying attention to. Management expects it to become the company’s largest product line by the end of this year, and the new X-Series 320-lane fabric switch targets a merchant scale-up market projected to reach $20 billion by 2030. Astera also holds a $6.5 billion warrant agreement with Amazon, which aligns a hyperscaler directly with its success.
Today’s Change
(-2.06%) $-5.78
Current Price
$274.13
Key Data Points
Market Cap
Day’s Range
$267.01 – $278.63
52wk Range
$97.89 – $499.48
Volume
3.1K
Avg Vol
5M
Gross Margin
75.13%
2. Credo Technology
Credo Technology (CRDO -20.04%) makes active electrical cables, and the pitch is simple. Inside a data center, optical connections are expensive and consume power. Credo’s AECs replace them for distances up to 7 meters, which covers most inter-rack connections.
The adoption curve is steep. Second-quarter fiscal 2026 revenue reached $268 million, up 272% year over year, and the company guided for full-year fiscal 2026 growth above 200%. Four hyperscale customers each accounted for more than 10% of revenue, with one in full production and another just starting.
Customer concentration is both the biggest risk and the biggest opportunity with this ticker. A lot of the company’s revenue comes from a relatively small number of customers, so if one major contract runs into trouble, the stock could take a pretty big hit. The stock has also been pretty volatile over the past year as the market figures out its valuation, so I’d keep an eye out for pullbacks that could offer a better entry point. At the same time, Credo is expanding beyond its core products with ZeroFlap Optics, active linear cables, and OmniConnect gearboxes, which give the company a broader portfolio and additional avenues for growth.
Today’s Change
(-20.04%) $-41.41
Current Price
$165.22
Key Data Points
Market Cap
Day’s Range
$161.95 – $190.57
52wk Range
$86.48 – $308.67
Volume
119.2K
Avg Vol
7.6M
Gross Margin
68.89%
3. Vertiv
Vertiv Holdings (VRT +0.28%) is the least glamorous and possibly the most defensible. It makes power distribution units, uninterruptible power supplies, and cooling systems for data centers. Every AI facility needs far more of all three than a traditional one does.
The backlog is the story. Orders surged year over year in the fourth quarter of 2025, pushing the backlog to $15 billion and the book-to-bill ratio to 2.9. That means nearly $3 in new orders for every $1 shipped, and management noted these are binding purchase orders often accompanied by advance payments.
Liquid cooling is where the shortage lives. Lead times on coolant distribution units stretched from 12 to 16 weeks historically out to 20 to 26 weeks, so Vertiv is expanding liquid cooling manufacturing capacity by 40% to 50% and doubling chiller production in Italy by year-end.
Today’s Change
(0.28%) $0.73
Current Price
$256.70
Key Data Points
Market Cap
Day’s Range
$251.50 – $260.05
52wk Range
$118.70 – $379.94
Volume
10.5K
Avg Vol
5.9M
Gross Margin
35.73%
Dividend Yield
0.09%
Why these three
Each of these companies sits in a physical bottleneck that’s becoming more and more important as AI infrastructure scales. Signal integrity, high-speed cable interconnects, and thermal capacity are all real constraints, and they only get harder to solve as clusters get bigger.
That’s what makes these companies interesting. If AI infrastructure spending stays anywhere close to current levels, they could benefit regardless of which chip designer ultimately wins. A well-timed position in these names could be a millionaire-making opportunity if the AI boom continues to expand like it has over the last two years.