Iran Strike Begins: Which Assets Will ‘Break Loose’ Next? | Clem Chambers

| Podcasts | February 28, 2026 | 74.8 Thousand views | 43:01

TL;DR

Clem Chambers argues the AI infrastructure boom will trigger sustained inflation as hyperscalers borrow trillions, forcing monetary expansion, while simultaneously disrupting legacy software business models but creating massive opportunities in commodities, nuclear energy, and physical infrastructure.

💸 AI-Driven Inflation & Monetary Expansion 3 insights

Hyperscaler capital drain forces money printing

Tech giants borrowing trillions for AI infrastructure will drain system liquidity, forcing central banks to print money to prevent broader credit collapse, creating sustained inflationary pressure.

Skilled labor wage explosion

AI buildout capital flows directly to physical trades—electricians, cable installers, and builders—who will command double-to-quadruple time wages, driving wage-price inflation.

Productive asset inflation cycle

Unlike past QE, AI spending initially creates productive assets, but the massive monetary expansion required to fund hyperscaler borrowing remains structurally inflationary for years.

💻 Software Industry Disruption 3 insights

Legacy code business model collapse

IBM's 13% single-day drop exemplifies vulnerability of companies profiting from obsolete COBOL systems, as AI agents can now rewrite legacy code and eliminate 'ransom-holding' service models.

Developer productivity multiplier

AI will not eliminate software jobs but multiply productive developer output by 20-30x, increasing software functionality while destroying companies that cannot adapt their technical debt.

Debt vulnerability in private credit

Software companies carrying heavy private credit debt face refinancing crises as hyperscalers suck available capital from the system, making them 'fallen angels' ripe for distress investing.

Infrastructure & Commodity Supercycle 4 insights

Nuclear energy renaissance

Companies like Fluor will construct nuclear power stations globally to meet AI's energy demands, benefiting uranium miners and specialized engineering firms previously considered politically untouchable.

Copper and critical mineral shortages

Copper could triple to $50,000-100,000/ton within two years; strategic mineral miners like Glencore face supply shortages as AI infrastructure buildout creates insatiable resource demand.

Physical infrastructure bottlenecks

Undersea cable layers, transformer manufacturers, and optical networking component makers face severe supply constraints as AI deployment requires massive physical infrastructure expansion.

Gold as geopolitical thermometer

Chambers monitors gold and Bitcoin for vertical price moves signaling geopolitical fragility, noting the largest Middle East military buildup since the Iraq invasion increases Iran-US conflict risk.

Bottom Line

Position for AI-driven inflation by accumulating commodity infrastructure plays—uranium, copper, and nuclear engineering companies—while treating distressed legacy software stocks as future 'fallen angel' buying opportunities rather than short candidates.

More from The David Lin Report

View all