Get your free personalized podcast brief

We scan new podcasts and send you the top 5 insights daily.

The AI boom is causing a tangible 'crowding out' effect in the real economy. Fed President Schmid confirms hearing 'every day' from businesses that the data center build-out is creating intense competition for physical commodities like steel and copper, as well as for labor and equipment, directly impacting other industrial sectors.

Related Insights

While the long-term productivity benefits of AI are uncertain, the short-term economic impact is clear. Building massive data centers requires immense physical resources like steel and energy, creating an immediate inflationary boom that contributes to an overheating economy in 2026.

Even before the AI boom, demand for copper was outstripping supply for standard manufacturing and electrification. The addition of massive data centers and EVs creates a long-term supply deficit that is nearly impossible to solve, as bringing new mines online can take over 15 years.

The demand shock from AI is so immense it requires industrial revolutions in foundational sectors. Beyond silicon, this will drive massive growth in energy, steel, mirrors, and manufacturing, reshaping the physical economy for the first time in decades.

Daniel Gross's prescient question about copper being mispriced proved correct. The metal hit all-time highs due to AI's physical needs, with a single NVIDIA server rack containing two miles of copper wire. This highlights a critical, non-obvious bottleneck in the AI supply chain.

While AI may be deflationary in the long run, its immediate effect is inflationary. The immense capital expenditure on data centers, hardware, and energy strains supply chains, creates electricity shortages, and drives up prices for physical goods and skilled labor. Policymakers should focus on this immediate pressure, not on speculative future deflation.

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.

The massive, concurrent AI build-out by large tech firms creates such inelastic demand for components like copper, gas turbines, and memory that their prices are soaring. This tech-specific investment is fueling broader inflation in industrial and hardware markets, a significant ripple effect of the AI boom.

The seemingly immaterial world of AI is entirely dependent on a vast physical system. Beyond electricity, AI's expansion drives demand for industrial commodities like copper and aluminum for grids, refined fuels for transport, and robust shipping infrastructure. This links digital growth directly to global commodities and logistics markets.

The massive, sustained demand for AI compute is fueling a historic, privately-funded infrastructure build-out. This is not a short-term boom but a decades-long project creating a renaissance in American manufacturing for materials like steel, concrete, and fiber optics, particularly in the Rust Belt and the South.

While AI is a disinflationary force via productivity, its development requires a massive physical build-out of data centers and chips. This creates huge demand for real-world commodities and resources, exerting significant inflationary pressure that complicates the macroeconomic picture for policymakers.