The capital expenditure for AI infrastructure mirrors massive industrial projects like LNG terminals, not typical tech spending. This involves the same industrial suppliers who benefited from previous government initiatives and were later sold off by investors, creating a fresh opportunity as they are now central to the AI buildout.

While Nvidia captures headlines for powering AI with chips, the immense electricity needed for data centers has created massive demand for power generation hardware. Industrial giant GE Vernova, a leading producer of natural gas turbines, has a four-year order backlog, making it a critical, high-demand supplier for the AI boom.

While AI is often viewed abstractly through software and models, its most significant current contribution to GDP growth is physical. The boom in data center construction—involving steel, power infrastructure, and labor—is a tangible economic driver that is often underestimated.

Companies like Tesla and AWS are investing in lithium and copper refining to control their supply chains, a new phase of vertical integration driven by AI's massive industrial needs for data centers and batteries.

After decades of stagnation in physical innovation, the investment cycle is shifting. As AI commoditizes software ('bits'), capital will pivot back to real-world infrastructure ('atoms') like nuclear energy and space exploration, driving the next major growth wave.

The historic rotation between asset-light (tech) and asset-heavy (commodities) industries is breaking down. AI requires massive physical infrastructure (data centers), turning 'bits' companies into 'atoms' companies and creating huge new demand for energy and materials.

The tangible economic effect of the AI boom is currently concentrated in physical capital investment, such as data centers and software, rather than widespread changes in labor productivity or employment. A potential market correction would thus directly threaten this investment-led growth.

Before AI delivers long-term deflationary productivity, it requires a massive, inflationary build-out of physical infrastructure. This makes sectors like utilities, pipelines, and energy infrastructure a timely hedge against inflation and a diversifier away from concentrated tech bets.

The initial job creation from AI isn't just for software engineers. It's driving a massive boom in physical infrastructure like data centers and chip fabs, creating high demand for skilled trades like electricians, plumbers, and construction workers.