Anthropic's longest-serving employees are exploring the purchase of remote land across the United States as a contingency against catastrophic AI outcomes, according to reporting by the Wall Street Journal. The initiative reflects the company's deep philosophical roots in the Effective Altruism movement and reveals how existential AI risk thinking shapes decisions among some of the field's most senior technologists.
The land-buying effort connects to a Bay Area network of researchers and technologists sometimes called "doomers" who have been modeling worst-case AI scenarios for over a decade. These individuals view remote property ownership as practical insurance against potential societal disruption from advanced AI systems. The strategy suggests that some people closest to AI development believe the risks warrant concrete preparatory measures beyond their work on safety at Anthropic itself.
Anthropic, founded in 2021 by former OpenAI members Dario and Daniela Amodei, has positioned itself as the safety-conscious alternative in the AI industry. The company's founding pitch emphasized building AI systems with better alignment and interpretability than competitors. That mission attracts employees with genuine concerns about AI's trajectory. Many of these individuals arrived at Anthropic from backgrounds steeped in longtermism and existential risk philosophy, worldviews that emphasize humanity's potential futures and the need to navigate them carefully.
The land-buying phenomenon illustrates how seriously some AI professionals take downside scenarios. Rather than dismissing catastrophic risks as science fiction, these technologists treat them as possibilities worth planning for. This reflects a genuine divide in how AI industry insiders evaluate risk. Some executives downplay existential concerns and emphasize near-term benefits. Others, particularly those at safety-focused companies, allocate resources and personal capital toward preparation and mitigation.
The connection between Anthropic and Bay Area longtermism networks is not accidental. Effective Altruism and longtermist thinking have directly shaped Anthropic's hiring, research priorities, and strategic direction. The company explicitly markets itself to people concerned about AI alignment and safety. Its employees are disproportionately likely to believe in the importance of reducing existential risk from AI, making preparatory measures less surprising within this context.
The practical specifics matter. Employees purchasing remote land suggest they view tail risks as real enough to warrant personal investment. This is different from theoretical concern. It represents actual capital allocation based on risk models these technologists find credible. Whether such preparations would actually provide meaningful refuge in a true AI catastrophe scenario is debatable, but the effort signals how differently some AI researchers conceptualize the stakes.
This story also reveals tensions within the AI industry's self-perception. Anthropic positions itself as responsible and safety-conscious relative to competitors. Yet its employees preparing for doomsday scenarios might undermine that narrative for some audiences. It could be read as an admission that even at the safety company, people believe outcomes bad enough to justify personal exit strategies remain possible.
The land purchases also raise questions about how Anthropic's safety work translates to actual confidence in outcomes. If the company's technology and research substantially reduce AI risks as intended, such preparation becomes unnecessary. The fact that experienced employees still pursue it suggests either genuine residual doubt about risk reduction or a rational approach to catastrophic tail scenarios regardless of ongoing safety efforts.