For today's high-uncertainty economy, a barbell strategy is optimal. It involves playing safely in liquid assets like front-end government bonds while making long-term private market investments that solve geopolitical vulnerabilities in areas like rare earths, drones, or domestic chip manufacturing.

Instead of building AI-native companies facing intense competition, a viable strategy is to build "AI-durable" businesses. These are in real-world sectors (e.g., funeral homes) where the core service isn't disrupted by AI, but operations can be significantly accelerated by it.

An alternative to chasing hyper-growth AI is to invest in categories where AI adoption is slower. This provides founders with a crucial time advantage to build durable businesses, but it necessitates a more capital-efficient model that can't sustain a hyper-frequent fundraising pace.

As AI commoditizes software, the most defensible businesses are no longer asset-light SaaS models. Instead, companies with physical world operations, regulatory moats, and liability are safer investments. Their operational complexity, once a weakness, now serves as a formidable barrier against pure AI-driven disruption.

Instead of betting on unknowable AI winners, a better strategy is to find quality companies the market has written off as "losers" due to AI fears. Similar to the unloved "old economy" stocks during the dot-com bubble, these perceived victims could offer significant upside if the disruption threat is overblown.

The Ellisons are investing heavily in both AI data centers and legacy media assets like Warner Bros. This 'barbell' approach wagers that AI will personalize content delivery but cannot create new, iconic intellectual property, thus making existing IP even more valuable.

To hedge against the risk of AI disrupting portfolios and professions, consider allocating a small percentage to long-dated call options (LEAPs) on key AI players. A basket of Microsoft, Meta, Amazon, and Google provides exposure to the core infrastructure (Azure, AWS, GCP) and leading model developers (OpenAI, Anthropic).

Drawing a parallel to the early internet, where initial market-anointed winners like Ask Jeeves failed, the current AI boom presents a similar risk. A more prudent strategy is to invest in companies across various sectors that are effectively adopting AI to enhance productivity, as this is where widespread, long-term value will be created.

The business world is polarizing. To succeed, you must operate at one of two extremes: fully embrace cutting-edge technology like AI, or master old-school, deeply personal, 1940s-style human engagement. The undifferentiated middle will become obsolete. The most ambitious businesses must do both.