Here's something that doesn't happen often: industrial companies are suddenly the exciting growth story. As 2026 gets underway, the intersection of AI and electricity has transformed traditional industrial stocks into high-growth infrastructure plays. The thesis is straightforward—you can't build massive AI data centers without solving the power problem first.

Tech experts and Wall Street analysts are converging on the same conclusion: power is the biggest bottleneck in the AI buildout. The winners aren't necessarily the chipmakers or software companies, but rather the businesses that generate, move, and cool the enormous amounts of electricity that AI data centers demand. Think of it as the industrial super-cycle finally meeting its moment.

GE Vernova: Powering Everything From Grid to Chip

GE Vernova, Inc. (GEV) has positioned itself as the essential backbone of AI power infrastructure. At its December Investor Day, the company laid out ambitious plans that caught the attention of both analysts and hyperscalers. The numbers tell the story: GE Vernova is projecting $52 billion in revenue by 2028.

Management issued 2026 revenue guidance of $41 billion to $42 billion and expects its backlog to balloon to $200 billion by 2028. That's not a typo—$200 billion in backlog. Oppenheimer analyst Colin Rusch upgraded the stock with a price target of $855, pointing out that hyperscalers now represent more than one-third of recent orders. When Amazon, Microsoft, and Google are lining up for your products, you're doing something right.

The company sweetened the deal for shareholders by doubling its quarterly dividend to $0.50 and expanding its buyback authorization to $10 billion. It's the kind of capital allocation that signals confidence in future cash flows.

Vertiv: Keeping AI Cool Under Pressure

Vertiv Holdings LLC (VRT) specializes in critical cooling systems for high-performance AI chips, and as liquid cooling transitions from specialty application to industry standard in 2026, Vertiv is positioned to capture significant market share.

The company maintains a $9.5 billion backlog and achieved organic revenue growth of 28% year over year at the end of 2025. That growth rate puts most tech companies to shame. Evercore ISI raised its price target to $210, describing Vertiv as the "picks and shovels" play of the AI era—a reference to the California Gold Rush merchants who profited regardless of which miners struck gold.

Looking ahead, liquid-to-chip cooling demand is projected to scale dramatically as hyperscalers move toward 100,000-GPU clusters. Traditional air cooling simply can't handle that kind of thermal load, which means Vertiv's solutions become mandatory rather than optional.

Eaton: Managing Power at Scale

Eaton Corp. (ETN) dominates the global market for electrical switchgear and transformers that connect the grid to data center infrastructure. It's unglamorous work until you realize that nothing happens without it.

Analysts are forecasting a $414 to $495 price range for 2026 as the global transformer shortage creates substantial pricing power. When supply can't meet demand, margins tend to expand. UBS recently reiterated a "Buy" rating, highlighting that Eaton is benefiting from long-term structural growth trends in AI infrastructure.

The 2026 catalyst everyone is watching: Eaton is completing a $1.2 billion capacity expansion to address the supply squeeze in high-voltage equipment. That's real capital expenditure to meet real demand, not financial engineering.

Quanta Services: Building the Grid That Powers Everything

Moving large amounts of power to new AI sites requires specialized expertise, which is where Quanta Services, Inc. (PWR) comes in. The company controls the largest private workforce of high-voltage linemen in North America, creating a legitimate competitive moat based on skilled labor.

Quanta entered 2026 with a $39.2 billion backlog, reflecting a surge in utility-scale grid modernization projects. JPMorgan upgraded the stock to "Overweight" with a $515 target, noting that the company is uniquely positioned to serve "large-load" customers like Amazon and Google.

The labor moat matters more than you might think. Quanta's specialized workforce makes it the only contractor capable of meeting the strict timelines of the AI buildout. You can't just hire random electricians to build high-voltage transmission infrastructure—it takes years of training and certification.

Honeywell: The Value Unlock Through Spinoff

Honeywell represents a different angle on the AI infrastructure theme—it's a value unlock story. By streamlining its portfolio, the company is transforming into a pure-play leader in industrial automation and energy software.

Honeywell is scheduled to complete a major aerospace spinoff in the second half of 2026. RBC Capital upgraded Honeywell to "Outperform," stating that the separation of the aerospace and automation businesses creates a "clean setup" with a price target of $253.

The software angle is particularly interesting. Honeywell's "Forge" AI software is being deployed across the data center sector to optimize energy efficiency and cooling costs. It's not just about hardware anymore—the companies that can reduce power consumption through intelligent software will capture significant value as electricity costs become a larger percentage of data center operating expenses.

The theme connecting all these companies is infrastructure constraint. AI models need compute power, compute power needs electricity, and electricity needs generation, transmission, cooling, and management. The industrial companies solving these physical-world problems are positioned to capture substantial value from the AI buildout in 2026 and beyond.