Here’s the plot twist nobody saw coming: the technology that was supposed to supercharge the digital economy just broke it.
For four decades, America bet everything on software. We shipped factories overseas, told two generations that prosperity lived on a screen, and built an economy where Apple, Microsoft, Google, Amazon, and Meta became the foundation of American wealth. By 2025, tech companies made up 30% of the S&P 500. It was a beautiful run.
Then AI showed up and started making software… cheaper.
That’s the part most investors still haven’t processed. The entire digital economy was built on one assumption: intelligence is scarce. It took teams of brilliant engineers years to build systems that could process payments, optimize logistics, or manage workflows. That scarcity created moats. Those moats created trillions in value.
AI is systematically destroying that scarcity.
When intelligence can be generated on demand—faster, cheaper, and at near-zero marginal cost—the economics of software change. Not overnight, but persistently. And when that happens, value moves. We’re watching a fundamental inversion: from digital services back to physical infrastructure, energy, and raw materials. Call it the Great Re-Materialization.
Here’s why it matters: In the AI economy, the bottleneck isn’t intelligence anymore. It’s compute. And compute is physical.
Those GPUs running your AI models? They live in massive data centers made of steel, copper, and concrete. They consume staggering amounts of power—enough to strain grids that were never designed for this. That power needs to be generated, transmitted, and managed by infrastructure that takes years to build. Data center electricity demand in the U.S. is projected to more than double by 2030.
The GPUs generate enormous heat, requiring sophisticated cooling systems. Everything needs to be connected by fiber optic cable and networking equipment. Underpinning it all: copper, silver, aluminum, rare earth elements, natural gas, water.
This is where value actually accrues in the AI economy—not in the software sitting on top.
The market is already figuring this out. Year-to-date in 2026, the winners read like an industrialist’s shopping list: Vertiv (data center power and cooling, +67%), Modine Manufacturing (thermal management, +50%), Corning (fiber optic cable, +53%), Bloom Energy (distributed power generation, +83%), Texas Pacific Land (strategic acreage, +87%).
Meanwhile, software darlings are getting crushed: Atlassian, MongoDB, Workday, HubSpot, Intuit, The Trade Desk—all facing sustained repricing as AI commoditizes their core value.
The real opportunity? HALO stocks—Hard Assets, Low Obsolescence. Companies whose value is anchored in physical assets that can’t be commoditized by software and whose business is accelerated by AI demand. Power equipment manufacturers don’t get replaced by GPT-6. Copper miners benefit from every new data center. Thermal management companies prosper every time a GPU cluster comes online.
We’re in the very early innings of a multi-year commodity and infrastructure super-cycle. The investors who made fortunes in the original AI trade bought Nvidia when it was a gaming graphics company. The investors who make fortunes in the Re-Materialization will have bought copper miners, power equipment manufacturers, and industrial constructors before Wall Street figured out that AI runs on copper.
The first wave of AI rewarded the obvious winners. The next wave will reward those positioned closest to where value actually concentrates.
