Artificial intelligence needs cooling, electricity, construction and automation before it can produce a useful answer.
Industrial suppliers may benefit from wider demand, but capacity, execution and valuation still matter.
Investors can study the full data-centre chain instead of treating artificial intelligence as one crowded technology trade.
Everyone talks about artificial intelligence models, but the boom is also making factories exciting again. Yet far less attention goes to the companies supplying the picks and shovels that make it all possible.
A modern data centre is a specialised factory. It consumes enormous amounts of electricity, produces serious heat and cannot afford to stop. The International Energy Agency expects global data-centre electricity use to more than double by 2030. That means more cables, transformers, cooling systems, backup power and construction work.
The boom is widening from software and semiconductors into the physical economy.
The first layer sits inside the data centre. Vertiv provides power management and cooling equipment. Trane Technologies supplies large cooling systems, including liquid cooling, which carries heat away from powerful chips.
Schneider Electric and Eaton sit at the electrical heart of the building. They provide switchgear, power controls and backup systems that safely move electricity to thousands of servers. Legrand adds smaller but essential components, including power distribution systems, racks and connections.
These businesses benefit from a simple truth: more computing creates more heat and requires more electricity. A better model may be digital, but the supporting infrastructure remains stubbornly physical. Servers still dislike heat, power cuts and improvisation.
Recent results support the theme. Schneider reports strong growth led by data centres. Eaton says data-centre orders in its main United States electrical business have risen sharply, while Vertiv continues to report rapid sales growth. The market has noticed, so the opportunity is less hidden than the headline suggests.
The second layer begins outside the building. Data centres can require as much power as a small industrial site, but electricity grids were not designed for demand to arrive this quickly.
Siemens Energy and GE Vernova sell turbines, transformers, switchgear and grid equipment. Their products help generate electricity and move it to where it is needed. Both are seeing strong demand linked partly to data-centre development.
ABB offers electrification and automation equipment across factories, buildings and utilities. Its role shows why the theme reaches beyond artificial intelligence. The same equipment also supports grid upgrades, factory expansion and wider electrification.
Artificial intelligence is one driver, while ageing grids, energy security and manufacturing investment add others. That mix may make demand more durable, although it also makes these companies harder to value with one simple label.
The final layer is execution. Quanta Services builds and upgrades power networks. Comfort Systems installs electrical, heating and cooling systems in complex buildings, including data centres.
These contractors benefit when spending moves from announcements to construction. They also reveal the bottleneck. Money alone does not build a data centre. Projects need skilled workers, permits, transformers and grid connections. Long waiting times may support supplier pricing, but they can also delay revenue and increase costs.
The largest risk is expectations. Many industrial winners are no longer forgotten, and their valuations may already assume years of smooth growth.
A slowdown in artificial intelligence spending would weaken orders. Grid delays could postpone projects, while labour and equipment shortages may squeeze margins. Investors can watch order growth, delivery times, cash flow and whether backlogs convert into profitable revenue.
Map each company to cooling, electrical equipment, generation, grids, construction or automation.
Compare orders with revenue, margins and cash flow to test whether demand becomes profit.
Limit theme concentration because different holdings may depend on the same data-centre spending cycle.
Watch valuation alongside quality. Excellent factories can still produce expensive shares.
Artificial intelligence may be making factories exciting again, but this does not turn every industrial company into an automatic winner. The strongest businesses will combine scarce products, reliable delivery, sensible pricing and demand beyond one technology cycle.
Schneider Electric, Vertiv, Eaton, Siemens Energy, GE Vernova, ABB, Legrand, Trane Technologies, Quanta Services and Comfort Systems offer different windows into that process. The lesson is not to abandon famous model makers for quieter machinery suppliers. It is to follow the entire chain. Behind every clever answer sits a less glamorous industrial system keeping the lights on, the chips cool and the promises physically possible.
This material is marketing content and should not be regarded as investment advice. Trading financial instruments carries risks and historic performance is not a guarantee of future results.The instrument(s) referenced in this content may be issued by a partner, from whom Saxo receives promotional fees, payment or retrocessions. While Saxo may receive compensation from these partnerships, all content is created with the aim of providing clients with valuable information and options.
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