-+ 0.00%
-+ 0.00%
-+ 0.00%
Nvidia Made The AI Trade Crowded. These 3 ETFs Are Playing What Comes Next
Share
Listen to the news

As the AI buildout expands, investors aren’t just looking at Nvidia Corp (NASDAQ:NVDA). They see opportunities for infrastructure-focused ETFs.

Bank of America estimates the so-called AI data-center systems market could reach $1.7 trillion by 2030. This implies a 45% compound annual growth rate. The bank also expects data-center capacity to double to 200 gigawatts by 2030, supported by roughly $7 trillion in capital investment.

However, power, labor and supply chains determine how quickly the AI buildout progresses, and U.S. data-center demand could leave utilities facing a more than 100-GW generation shortfall through 2030.

That puts First Trust Nasdaq Clean Edge Smart Grid Infrastructure ETF (NASDAQ:GRID) at the center of the second-order AI trade. The ETF gained more than 19% year to date, outperforming its infrastructure category’s 14.85% return.

GRID Portfolio: A Who’s Who of the AI Power Buildout

Quanta Services (NYSE:PWR), which Jim Cramer calls a “terrific” stock, accounts for 8.68% of the fund. Eaton (NYSE:ETN) represents 8.45%. Johnson Controls International PLC (NYSE:JCI), ABB (OTC:ABBNY) and Schneider Electric were also among its largest holdings.

For broader exposure, the Global X U.S. Infrastructure Development ETF (BATS:PAVE) holds 100 companies across infrastructure-related industries. ETN and PWR are among its top ten largest holdings. The $13.76-billion fund has also gained ground recently, with 2.23% gains over the past five days.

Meanwhile, iShares U.S. Infrastructure ETF (BATS:IFRA) provides another route, combining infrastructure enablers with asset owners. Caterpillar Inc (NYSE:CAT) was its largest holding at 4.31%, followed by PWR at 4.03%.

Caterpillar itself reported a 24% jump in second-quarter revenue to $20.5 billion, with Power & Energy sales rising 17%; the company specifically cited higher sales of power-generation equipment in data-center applications.

AI’s next bottleneck may not be computing power — it may be the physical power needed to run it. And that could make infrastructure ETFs an increasingly important way to play the AI super-cycle without betting on a handful of mega-cap technology stocks.

Photo: Shutterstock

Disclaimer:This article represents the opinion of the author only. It does not represent the opinion of Webull, nor should it be viewed as an indication that Webull either agrees with or confirms the truthfulness or accuracy of the information. It should not be considered as investment advice from Webull or anyone else, nor should it be used as the basis of any investment decision.
What's Trending