Former Goldman Sachs strategist Jeff Currie said energy stocks are the most effective way to invest in the artificial intelligence build-out [1].
This shift in investment focus suggests that the physical requirements of AI—specifically massive electricity needs—may outweigh the value of the software companies themselves. As AI infrastructure expands, the demand for power creates a critical bottleneck that favors companies controlling the energy supply.
Currie said that the commodity complex is currently in a structural bull market [1]. He said that capital should flow away from companies that are desperate for commodities and instead move toward those that already possess them [1].
According to Currie, the AI build-out will dramatically increase electricity demand [1]. Because of this surge, energy companies are positioned to benefit more than firms that are merely seeking commodity exposure [1]. This perspective shifts the focus from the "Magnificent 7" tech giants to what he describes as the "Munificent 7" energy plays.
While the tech sector has driven initial AI gains, the underlying power grid requires significant expansion. Some reports highlight six specific energy stocks as the best options for the AI power-grid build-out [3].
Currie said that the structural nature of the current commodity market makes these assets a safer and more productive bet for long-term growth. He said that the intersection of energy scarcity and AI growth creates a unique opportunity for those holding the actual resources [1].
“Energy stocks are the best way to play the AI build-out.”
This analysis indicates a pivot in AI investment strategy from the application layer to the infrastructure layer. By emphasizing the 'structural bull market' of commodities, Currie suggests that the physical constraints of energy production and delivery will become the primary drivers of value as AI scales, potentially decoupling energy stock performance from traditional tech trends.
