Economists publish mathematical proof that AI will collapse the economy
A Wharton study shows AI could collapse the economy. We analyze the model and the debate over unlimited credit as a solution.
English · Original discussion in Spanish · Published
AI and the collapse of capitalism: the mathematical proof raising the alarm
A team of economists from the Wharton School and Boston University has published a peer-reviewed study that mathematically demonstrates how artificial intelligence, left unchecked, can lead to the collapse of consumer capitalism. The conclusion is direct: mass automation will shrink the consumer base and, with it, corporate revenues, triggering a downward spiral. The paper, picked up by outlets such as The London Economic, has peine the debate over whether the current system can withstand a wholesale replacement of workers by machines.
The mathematical model: why AI could destroy the economy
The premise is simple: if AI replaces workers, they lose income and purchasing power. Less consumption means lower corporate profits, which in turn reduces investment and employment, feeding the cycle. The authors formalize this dynamic with equations showing that, without intervention, the system converges to a state of low demand and production. It is, in essence, the paradox of thrift applied to automation: what is rational at the micro level (replacing labor with capital) becomes self-destructive at the macro level. Some analysts point out that this model is an augmented version of Keynesian underconsumption theory, now with GPUs in the starring role.
Unlimited credit: capitalism's lifeline?
Against the model's pessimism, a school of thought holds that unlimited credit and financial engineering can sustain demand. Banks and debt issuers would offer loans to individuals collateralized with homes or retirement plans, enabling artificial consumption. The state, for its part, would maintain social spending, which translates into consumption and feeds the profits of the very companies doing the layoffs. This scheme recalls modern "bread and circuses": public debt multiplying while inflation erodes savings, but the stock market holds up as long as interest rates don't spike. Critics, however, warn that unlimited credit has a limit when the ability to repay collapses.
The Pigouvian tax: the solution nobody applies
Among the proposals to prevent the collapse, a Pigouvian tax on automation stands out. Taxing the use of AI to replace human labor could internalize the social cost of lost jobs and consumption. However, the political viability of such a tax is uncertain, especially when corporate power is lobbying in the opposite direction. The debate remains open: either automation is regulated, or we accept that credit and public debt will be the temporary glue holding together a system that the numbers themselves predict will crumble.
The open question is whether Wharton's mathematical proof is a self-fulfilling prophecy or just an extreme scenario that market and policy mechanisms can avert. For now, the stock market keeps rising, and credit keeps flowing. But as a well-known investor liked to recall, trees don't grow to the sky.
Related discussions on the forum
A team of economists from the Wharton School and Boston University has published a peer-reviewed study that mathematically demonstrates how artificial intelligence, left unchecked, can lead to the collapse of consumer capitalism. The conclusion is direct: mass automation will shrink the consumer base and, with it, corporate revenues, triggering a downward spiral. The paper, picked up by outlets such as The London Economic, has peine the debate over whether the current system can withstand a wholesale replacement of workers by machines.
The mathematical model: why AI could destroy the economy
The premise is simple: if AI replaces workers, they lose income and purchasing power. Less consumption means lower corporate profits, which in turn reduces investment and employment, feeding the cycle. The authors formalize this dynamic with equations showing that, without intervention, the system converges to a state of low demand and production. It is, in essence, the paradox of thrift applied to automation: what is rational at the micro level (replacing labor with capital) becomes self-destructive at the macro level. Some analysts point out that this model is an augmented version of Keynesian underconsumption theory, now with GPUs in the starring role.
Unlimited credit: capitalism's lifeline?
Against the model's pessimism, a school of thought holds that unlimited credit and financial engineering can sustain demand. Banks and debt issuers would offer loans to individuals collateralized with homes or retirement plans, enabling artificial consumption. The state, for its part, would maintain social spending, which translates into consumption and feeds the profits of the very companies doing the layoffs. This scheme recalls modern "bread and circuses": public debt multiplying while inflation erodes savings, but the stock market holds up as long as interest rates don't spike. Critics, however, warn that unlimited credit has a limit when the ability to repay collapses.
The Pigouvian tax: the solution nobody applies
Among the proposals to prevent the collapse, a Pigouvian tax on automation stands out. Taxing the use of AI to replace human labor could internalize the social cost of lost jobs and consumption. However, the political viability of such a tax is uncertain, especially when corporate power is lobbying in the opposite direction. The debate remains open: either automation is regulated, or we accept that credit and public debt will be the temporary glue holding together a system that the numbers themselves predict will crumble.
The open question is whether Wharton's mathematical proof is a self-fulfilling prophecy or just an extreme scenario that market and policy mechanisms can avert. For now, the stock market keeps rising, and credit keeps flowing. But as a well-known investor liked to recall, trees don't grow to the sky.
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Summary of a discussion on Burbuja.info - Foro de economía, actualidad y política., translated from Spanish and reviewed before publication. Read the full discussion (5 replies).
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