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Real assets like prime real estate, energy, and materials are attractive in an AI-centric world. If AI causes job loss, governments will print money (e.g., UBI), inflating hard assets. If AI booms, it will require massive physical infrastructure, driving demand for these same assets.

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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.

Investors fleeing to hard assets like energy for safety from AI are ignoring second-order effects. AI's problem-solving capabilities could lead to breakthroughs, such as in battery technology, which would disrupt the very "safe" assets investors are buying by making renewables more viable.

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.

Faced with mass job loss from AI, governments are unlikely to seize assets from the wealthy. The politically easier path is to print massive amounts of money for social support, preserving the existing capital structure while devaluing the currency.

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.

In an unpredictable AI-driven job market, the most reliable path to financial security is not a specific skill but owning assets. This allows individuals to participate in the massive wealth generated by the technology itself, providing a hedge against inflation and potential job displacement, and avoiding a future of dependency on government assistance.

As AI concentrates wealth toward capital, holding cash is a losing strategy. The most critical financial shift is to convert earnings into ownership of uncorrelated assets like equities, real estate, and Bitcoin. This strategy is essential for survival and prosperity in the new economic paradigm.

The 50-year supremacy of asset-light software may be an anomaly. If AI makes software creation nearly free, economic value will shift back to the historical mean: tangible assets like infrastructure, energy, and regulated, liability-bearing businesses that touch the physical world.

Concerned about AI's potential to displace white-collar jobs, Wilkinson views investing in the underlying infrastructure as a key strategy. He specifically invested in a Bitcoin mining company pivoting to AI data centers, effectively buying into the "toll bridge" of the future to protect his capital.