Post scarcity and/or an age of abundance are just empty promises of pie in the future. Frontier AI is and most likely will always be wielded by the wealthy to further concentrate wealth, power and stability.
I think sufficiently advanced AI could create extraordinary productive abundance. Cheap intelligence could accelerate robotics, energy, medicine, materials science, and logistics. I’m not disputing the possibility of post-scarcity production.
The key point I want to make is more specific: AI-driven abundance does not automatically translate into broadly shared abundance under existing ownership structures. The missing link is not production capacity—it is distribution.
Even if AI makes goods and services dramatically cheaper to produce, it does not follow that most people will automatically gain access to them. The relevant assets—models, data centers, robots, energy systems, factories, mines, and land—are owned. If automation doubles output while reducing labor demand, the immediate effect is not necessarily shorter working hours with unchanged income. It can just as easily mean fewer workers, higher margins, and a greater share of returns flowing to owners of the automated stack.
That is the core tension: AI can expand total output without automatically expanding who has claim over that output. We’ve seen similar patterns in earlier general-purpose technologies.
During the Industrial Revolution, steam power and mechanized production massively increased output, but the early gains were highly uneven. Living standards for many workers improved only after decades of labor organization, regulation, and political reform. Productivity did not mechanically translate into broad welfare gains—it first translated into capital concentration and urban industrial ownership.
With electrification, factories became dramatically more efficient and flexible, but the benefits were not automatically distributed to workers or households. It took time for electrified production to diffuse, for labor markets to adjust, and for wages and working conditions to reflect higher productivity. In many cases, the initial effect was restructuring and displacement before broad-based gains emerged.
Even the internet boom followed a similar pattern. Digital infrastructure created enormous value, but much of it accrued to platform owners and early capital holders. Productivity gains in communication and coordination did not automatically produce equal gains in income or bargaining power for workers; instead, they often enabled winner-take-most dynamics and new forms of concentration.
The common story often assumes a simple transition:
AI makes intelligence, labor, and production extremely cheap. Therefore most people receive everything they need and no longer have to work.
But step two does not follow from step one. There are several possible bridges across this gap, but none appear automatic: Competition: Prices may fall toward marginal cost, but only if ownership is sufficiently competitive. As with earlier technologies, scarce inputs like land, energy, compute, and infrastructure can still sustain rents and concentration.
UBI or transfers: Purchasing power can be maintained, but the level and durability of redistribution are political decisions, not economic consequences of automation itself. Historically, gains from productivity have not been evenly or automatically redistributed without institutional pressure.
Open-source AI: Intelligence may be widely accessible, but compute, robotics, energy, and physical capital remain bottlenecks—similar to how open software did not eliminate hardware or platform concentration. Public or distributed ownership: Gains could be socialized, but that requires major institutional change in how production assets are owned, much like earlier expansions of welfare states or public utilities required political struggle.
ASI governance: A sufficiently advanced system might override existing allocation rules, but then distribution depends on alignment and control, not just capability. A common response is that firms will still need customers. That likely creates some baseline pressure for redistribution, but it does not determine its extent. Historically, economies have often maintained enough mass purchasing power to remain stable while still allowing significant concentration of wealth and ownership.
So the issue is not whether AI can generate abundance. It is whether the ownership structure of production changes in a way that translates that abundance into broad access during the transition.
My concern is timing: before automation weakens the importance of labor, it may instead weaken labor’s bargaining power and concentrate ownership, shaping the rules of the post-labor economy in advance—much as earlier technological revolutions first reorganized power before they broadened prosperity.
So I’m left with a simple question for those who expect AGI or ASI to produce widespread prosperity: What is the actual mechanism that converts AI-driven production into universal access under existing ownership structures—and why should we expect it to dominate during the transition period?
Post scarcity and/or an age of abundance are just empty promises of pie in the future. Frontier AI is and most likely will always be wielded by the wealthy to further concentrate wealth, power and stability.