The AI trade narrative may require serious reconsideration as we approach 2026. What was initially driven by advancements in chips and faster programming could soon shift focus to a more fundamental and less glamorous element—electrical power and infrastructure.
Microsoft CEO Satya Nadella recently highlighted the true bottleneck in artificial intelligence development. He stated, “The biggest issue we’re now having is not a compute glut. It’s power. You may actually have a bunch of chips sitting in inventory that you can’t plug in—in fact, that is my problem today. It’s not a supply issue of chips. It is actually the fact that I don’t have warm shells to plug into.”
This power limitation is becoming increasingly apparent as companies race to build data centres. The lead and wait times for these facilities have dramatically lengthened, sometimes stretching out to five to seven years. For tech firms driving AI innovation, this delay is untenable, forcing some to assume roles traditionally held by utility providers.
This shift impacts various sectors beyond chip manufacturers. For instance, Nvidia faces risks of supplying vast warehouses full of processors that cannot be activated due to insufficient power capacity. Looking ahead, the AI boom may well evolve into a broader demand story surrounding electrical transformers, the power grid, and related infrastructure.
Companies such as Vertiv, Schneider Electric, Eaton, and Siemens could become significant beneficiaries under this new narrative. Schneider and Eaton are particularly notable for their vertical integration in circuit breaker manufacturing, providing them with a competitive edge.
Vertiv exemplifies this trend, with its share price surging from a low of $53.60 earlier in the year to $166.25—a remarkable increase of over 200%.
Another factor to consider is the potential rise in copper prices. With growing competition for raw materials from both the AI and electric vehicle sectors, copper demand may escalate, putting additional pressure on commodity markets.
For forex traders, understanding this evolving AI landscape is crucial. It suggests that currency pairs tied to economies strong in industrial manufacturing, power infrastructure, or raw materials might see increased volatility and opportunity as market focus broadens in 2026.
Original Source: Justin Low of investinglive.com
