Some of Anthropic’s most experienced employees are reportedly purchasing remote land as a refuge against AI-related risks. This move isn’t just eccentric prepping; it’s a stark demonstration of the anxiety even inside leading AI labs. These engineers and researchers have been deeply involved with the Effective Altruism movement, known for its focus on existential risks, and have been running doomsday scenarios for years.
This behaviour exposes a growing unseen tension within the AI community. On one hand, we see intense optimism about what AI models can achieve. On the other, the people building these systems are hedging against catastrophic outcomes that mainstream discourse often downplays or ignores. It’s a bet on the fragile balance between breakthrough and breakdown.
For founders and technical leaders, the lesson isn’t to outbuy them in real estate. It’s to recognise that behind the spin of capabilities there is a profound uncertainty about AI’s trajectory and safeguards. This uncertainty is rarely quantifiable but heavily influences how insiders plan for the future. Your vendors, partners, or even internal teams may be wrestling with similar doubts — different from user enthusiasm but no less real.
Pragmatically, it means IRL prep isn’t the first sign of crisis; it’s a data point in a growing ecosystem-wide risk debate. Understanding this will make your risk management more honest and relevant.
Being aware of these internal dynamics can help frame more realistic AI strategies than the usual hype or panic.
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