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AI demand is growing faster than physical infrastructure, creating compute bottlenecks and making scarce compute capacity highly valuable.
The article argues that while AI and robotics could lead to an economy of abundance as envisioned by Iain M. Banks, the transition may cause economic inequality, a K-shaped economy, and shifting scarcity in assets like land and ownership.
The article explores what retains value when AI makes generating high-quality images and videos commonplace, suggesting that taste, identity, consistency, and ownership become scarce commodities.
Andrew Chen reflects on how scarcity shifts across different eras, likely in the context of technological and AI advancements.
A tweet reflecting on how technology may solve scarcity before politics solves distribution, resulting in simultaneous abundance and societal anger.
An opinion piece exploring the idea of treating AI as a scarce resource and what implications that would have for allocation, regulation, and ethics.
An interview with economists Alex Imas and Phil Trammell discussing the economic implications of AGI, including what will remain scarce, how to tax and redistribute AI-generated wealth, and potential inequality scenarios.
The author argues that socialism relies on scarcity, victims, and intermediaries, and that AI is eliminating all three, citing a proposal by Sanders and AOC to freeze AI data center construction.