Investors they are pouring more money into the US industrial and infrastructure economy that focuses on trade and commerce (ETFs), showing greater confidence in the next phase of artificial intelligence (AI) relief.
Along these lines, industrial sector ETFs have attracted $25 billion in inflows over the past 12 months, the highest ever.
At the same time, ETFs related to construction and energy pulled in about $21 billion, according to data shared with finances market reviews platform Kobeissi’s letter on May 3.
The increase represents a sharp rise from 2024 levels, with industrials ETFs jumping nearly 400%, while energy and energy ETFs rose nearly 200%.
After an uneven performance until the early 2020s, the number increased in late 2025 to 2026 as the interest surrounding the foundation of AI grew.
The conference is driven by the growing awareness that the development of AI is not dependent on itself semiconductor chips as well as electricity, grid power, cooling systems, and industrial equipment.
Expectations of cash flows
With hyperscale data centers on the rise, art companies are expected to spend billions of dollars on infrastructure projects in 2026, increasing interest in ETFs related to power generation, utilities, industrial equipment, gas infrastructure, nuclear power, and data center infrastructure.
Energy Infrastructure ETFs that focus on natural gas and utility-scale utilities are on the rise as corporations look for reliable sources of data-driven energy.
At the same time, investments related to nuclear and uranium are gaining increasing interest due to their ability to provide long-term electricity on demand controlled by AI.
Broader ETFs tied to data centers, digital infrastructure, and electricity have also posted strong gains, reflecting growing investor confidence that infrastructure will be the biggest beneficiary of the AI boom.
Compared to other high-growth technology stocks, industrial and utility companies are also viewed as offering higher income and dividend yields.
However, these new systems come with several risks. In this case, infrastructure projects may face delays, grid connection issues, and cost overruns, while concerns continue that investment in AI may not be as profitable as it is based on delays.
For investors seeking exposure, diversified ETFs can provide a risk-reducing option to benefit from AI infrastructure and reduce risk.
