AI's ability to generate software at near-zero marginal cost is erasing the scarcity premium that propelled software stocks for over a decade. This realization is causing a massive capital rotation out of software ETFs and into tangible, scarce assets like metals and commodities.

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.

AI makes software incredibly easy to build and replicate, eroding traditional business moats. Chip Huyen argues the next frontier for durable value is in physical AI and robotics, where hardware development cycles and real-world complexities prevent instant copying.

The massive AI CapEx spending by hyperscalers is transforming the software industry's economics. The new model resembles capital-heavy industries like railroads or oil, moving away from the previous era's 80% margin software dream. Investors are now focused on the conversion cycle from spending to durable revenue.

Historically, software engineering required minimal capital—a laptop and internet. AI development now mirrors heavy industry, where the capital asset (like a $10M crane or $100M cargo ship) costs far more than the skilled operator. An engineer's compute budget can now dwarf their salary, changing team economics.

The AI investment case might be inverted. While tech firms spend trillions on infrastructure with uncertain returns, traditional sector companies (industrials, healthcare) can leverage powerful AI services for a fraction of the cost. They capture a massive 'value gap,' gaining productivity without the huge capital outlay.

While digital AI optimizes ads and creates content, physical AI will transform the core of the global economy—manufacturing, mining, logistics, and transportation. The companies impacting the physical world are poised to be larger than their digital counterparts in this intelligence revolution.

AI's impact on creditworthiness creates a sharp divergence. Knowledge-based and horizontal software companies face existential business model risks and margin compression. In contrast, "picks and shovels" businesses like utilities and chip manufacturers benefit from a strong secular tailwind.

Historically, software was built like a house—a durable, depreciating asset meant to last years. AI's ability to generate code rapidly transforms software into a temporary, easily rebuildable expense. This removes execution as the primary limiter and exposes a company's strategic thinking as the new bottleneck.