Caterpillar, Deere, United Rentals on AI buildout
AI is no longer just a software story; it is turning into a heavy-equipment story, and that matters because the companies that help build data centers, factories and infrastructure are suddenly tied to one of the strongest secular spending cycles in years.
The real economic twist is simple: artificial intelligence is making it easier to create new products and services, but it is also forcing companies to ask a harder question — what should they build, and where should they put capital? The answer, increasingly, is physical. Data centers need land, power, foundations, earthmoving and specialized equipment. Reshoring and grid upgrades need the same. That is why Caterpillar, Deere and United Rentals are acting less like cyclical industrial names and more like long-duration infrastructure plays.
Caterpillar has been the clearest winner in the market. The stock has climbed to about $865 from roughly $544 in early November, even after a sharp pullback from June’s peak above $1,060. That kind of move tells you investors are willing to pay up for exposure to power generation, construction and industrial spending tied to AI infrastructure. Deere, meanwhile, has held near $619 after a summer run that carried it above $635. United Rentals has also rebounded to about $1,135 after touching a low near $767 last November, showing that investors still want the rental model when customers need flexibility for big projects.
Why does this matter economically? Because AI spending is no longer confined to chips and cloud software. The buildout of data centers, transmission, gas infrastructure and manufacturing capacity is pulling demand through the entire industrial chain. Caterpillar’s latest filings point to stronger demand in gas compression and aftermarket parts, while also citing continued momentum from critical infrastructure programs and data centers. Deere’s management has talked about production efficiencies and the benefit of larger manufacturing volumes, while United Rentals said equipment rentals rose 12.7% in the second quarter and new-equipment sales jumped 14.7%.
For investors, the attraction is that these businesses can convert a capital-spending wave into durable earnings power. Caterpillar and United Rentals both have scale, service income and aftermarket revenue that can keep cash flow rolling long after the first shovel hits the ground. Deere adds pricing power, a massive installed base and a business that can compound through cycles. Those are the traits long-term investors want when a secular trend becomes a real earnings story.
The risk, of course, is that enthusiasm can outrun fundamentals. Caterpillar’s technical readings show the stock has backed off from overbought levels, with its 50-day moving average still well above the 200-day average, a sign the longer-term trend remains intact even after volatility. Deere’s shares are also above both major moving averages, and United Rentals is still trending comfortably above its 200-day average. That suggests the market continues to believe this AI-linked capex cycle has legs, but it also leaves room for disappointment if data-center spending slows, interest rates stay high or industrial customers delay projects.
The broader narrative is that AI is changing the economy in two ways at once: it is accelerating digital demand, and it is creating a physical construction boom to support that demand. Investors who focus only on the software layer risk missing the companies that actually move dirt, pour concrete and power the grid. For patient investors, Caterpillar, Deere and United Rentals belong on the watchlist — and possibly in a diversified long-term portfolio — because in the AI era, the winners may be the ones that make the buildout possible.
| Entity | Gains | Losses |
|---|---|---|
| Caterpillar | ▲Data-center and infrastructure demand | ▼Buyers waiting for cheaper entry |
| Deere | ▲Long-cycle industrial capex | ▼Short-term traders seeking quick pullbacks |
| United Rentals | ▲Rental demand from flexible builds | ▼Owners of idle equipment |
| AI builders | ▲Faster deployment of physical projects | ▼Delayed projects and underbuilt capacity |