This analogy frames a realistic, cautiously optimistic post-AGI world. Humans may lose their central role in driving progress but will enjoy immense wealth and high living standards, finding meaning outside of economic production, similar to younger children of European nobility who didn't inherit titles.

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The potential for an AI-driven, post-capitalist world of abundance is real. However, the path there will likely be as destructive as a world war, as the rapid upending of the economic order will throw society into chaos before stability is achieved.

Former OpenAI scientist Andrej Karpathy posits that once AGI handles most cognitive tasks, education will shift from a professional necessity to a personal pursuit. Similar to how people visit gyms for health and enjoyment despite machines handling heavy labor, learning will become an optional activity for fulfillment.

For some policy experts, the most realistic nightmare scenario is not a rogue superintelligence but a socio-economic collapse into techno-feudalism. In this future, AI concentrates power and wealth, creating a rentier state with a small ruling class and a large population with minimal economic agency or purpose.

Adopting the philosophy of 'building for dying' (向死而生), the founder views his AI product not just for current productivity, but as a future 'playground.' In a world where AI automates most jobs, the product's purpose will shift to providing fulfillment and the pleasure of 'pretend work.'

While AI promises an "age of abundance," Professor Russell has asked hundreds of experts—from AI researchers to economists and sci-fi writers—to describe what a fulfilling human life looks like with no work. No one can. This failure of imagination suggests the real challenge isn't economic but a profound crisis of purpose, meaning, and human identity.

When AI handles material needs, the traditional status game of wealth accumulation will lose its meaning. Humans will instead compete for status in non-productive domains like athletics, video games, or curating collections. These niche communities will become the new arenas for finding meaning and social hierarchy.

As AI commoditizes execution and intellectual labor, the only remaining scarce human skill will be judgment: the wisdom to know what to build, why, and for whom. This shifts economic value from effort and hard work to discernment and taste.

Superabundance from AI should free people from GDP-driven work to discover their unique gifts and contribute to society out of passion, not necessity. This fosters stronger families and communities, where human-made goods hold premium value.

As AI makes information universally accessible, traditional status markers like 'knowledge' will devalue. The new status will be derived from the ability to convene and lead large, in-person communities. Influence will be measured by one's capacity to facilitate real-world human connection and experiences, fighting digital isolation.

As AIs increasingly perform all economically necessary work, the incentive for entities like governments and corporations to invest in human capital may disappear. This creates a long-term risk of a society where humans are no longer seen as a necessary resource to cultivate, leading to a permanent dependency.