Despite ongoing market debate over the return cycle of artificial intelligence investments, major tech companies have shown no signs of slowing their capital expenditures in this space. Amazon (AMZN) has raised its 2026 capital expenditure guidance to $220 billion, Microsoft (MSFT) plans to invest $175 billion, Alphabet (GOOG) has boosted its target to $205 billion after two upward revisions, and Meta Platforms (META) will also deploy $135 billion. The lion’s share of these enormous sums is directed toward AI-related projects, with graphics processors, central processing units, data center leases, and memory manufacturers typically drawing the most market attention.
However, one often-overlooked group is reaping significant benefits from this AI boom—industrial companies. Building AI data centers is far more than stacking chips; it requires physical structures, power supplies, generators, cooling systems, switchgear, and substantial heavy equipment. Leveraging their specialized expertise, mature infrastructure, and long-standing partnerships with tech giants, a number of industrial firms are demonstrating outstanding investment value.
Take Caterpillar (CAT) as an example. This enterprise has long been known for its excavators, bulldozers, and other construction machinery, equipment that sees robust demand during the civil construction phase of data centers. But the more critical opportunity lies in its power business. AI data centers consume staggering amounts of electricity, and existing power grids in many regions cannot quickly meet this demand, creating a rapidly growing market for on-site power generation and backup power solutions. Caterpillar’s second-quarter Energy & Transportation segment revenue reached $8.2 billion, up 17% year-over-year, ranking second among the company’s segments, trailing only the Construction Industries segment at $8.3 billion. The company’s dual positioning in construction and power generation opens up multiple growth channels.
Eaton Corporation (ETN), as an industrial electrical equipment manufacturer, focuses on building power transmission and distribution systems. The company posted record second-quarter results, with total revenue of $8.5 billion, up 21% year-over-year and exceeding its own expectations. Within this, the Americas Electrical segment, most closely tied to data center construction, generated $4.0 billion in revenue—a segment record—with organic growth of 18%, while data-center-related revenue within this segment surged 65%. Meanwhile, the company’s electrical segment backlog grew 43% year-over-year. Management has raised its full-year adjusted EPS guidance to a midpoint of $13.50 and lifted its organic growth outlook to 11%–13%.
GE Vernova (GEV), the energy business entity spun off from the former General Electric, specializes in turbines, grid equipment, and electrification technologies. The company posted 22% revenue growth in the second quarter, with orders surging 88%. Its CEO revealed that data-center-related orders year-to-date have exceeded $5 billion, more than double the full-year total for 2025. On this basis, management comprehensively raised its 2026 guidance, projecting total revenue between $45.5 billion and $46.5 billion, electrification segment revenue of $14.5 billion to $15.0 billion, and free cash flow of $11.5 billion to $12.5 billion. Its Power segment, responsible for power generation, is expected to post organic growth of 18%–20%, with gas turbine backlog reaching at least 125 gigawatts by year-end.
In summary, while tech giants are pouring hundreds of billions into AI, every dollar ultimately must be grounded in physical industrial infrastructure. Caterpillar supplies equipment and power support, Eaton handles power transmission and management, and GE Vernova builds generation and grid foundations. As GPU and memory suppliers grab the headlines, these three industrial companies are steadily reaping rewards from this AI infrastructure wave through their solid operations.
