As AI drives down prices in many industries, assets that cannot be easily devalued by it will become relatively more valuable. This includes not just land and metals, but also unique human content and experiences, which consumers will seek out as an alternative to what they perceive as 'AI slop'.

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.

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.

Navigate AI's uncertainty with a two-sided "barbell" approach. On one end, make high-risk bets on "AI-first" businesses. On the other, invest in stable industries AI won't eliminate, such as healthcare, food, and entertainment, which cater to timeless human needs.

A sophisticated investment strategy is emerging among top investors like the Ellison family (Oracle/Warner Bros) and Josh Kushner (OpenAI/SF Giants). This "barbell thesis" involves simultaneously investing in opposite ends of the spectrum: cutting-edge AI infrastructure and irreplaceable, 'anti-slop' human experiences or legacy media, hedging bets on both digital and physical futures.

Beyond being an inflation hedge, infrastructure represents a key constraint on AI's growth. Investing in areas like power capacity and data compute allows investors to "own the constraint on AI," providing a diversified way to gain exposure to the dominant technology theme.

Zuckerberg compares the current AI build-out to historical infrastructure bubbles like railroads. He anticipates a potential collapse where over-leveraged companies fail, allowing well-capitalized firms like Meta to acquire valuable data center assets at a discount. It's a long-term strategic play, not just a fear.

Michael Saylor’s adoption of Bitcoin for MicroStrategy's treasury wasn't just about inflation; it was a strategic pivot because AI and big tech were rendering his business model obsolete. Bitcoin, as a scarce asset, becomes an attractive safe haven for companies facing inevitable creative destruction from AI.

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.