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Citadel contends that displacing white-collar work requires massive compute increases. Rapid AI adoption would drive up compute's marginal cost due to physical limits on energy and capital. If AI compute becomes more expensive than human labor for a task, substitution won't occur, creating an economic boundary.
For current AI valuations to be realized, AI must deliver unprecedented efficiency, likely causing mass job displacement. This would disrupt the consumer economy that supports these companies, creating a fundamental contradiction where the condition for success undermines the system itself.
The tangible economic effect of the AI boom is currently concentrated in physical capital investment, such as data centers and software, rather than widespread changes in labor productivity or employment. A potential market correction would thus directly threaten this investment-led growth.
The AI buildout won't be stopped by technological limits or lack of demand. The true barrier will be economics: when the marginal capital provider determines that the diminishing returns from massive investments no longer justify the cost.
The fundamental economic shift is not just job automation but an inversion of roles. AI, as pure intelligence, will become the employer, hiring humans as contractors for physical tasks it cannot perform, like visiting a warehouse or collecting brochures. Intelligence becomes a cloud commodity, while physical presence becomes the service.
Forget what executives say publicly. The massive capital allocation for AI data centers is the real evidence of impending job displacement. This level of investment only makes sense if companies expect significant cost savings from automating human labor, making capital the truest indicator of intent.
The enormous market caps of leading AI companies can only be justified by finding trillions of dollars in efficiencies. This translates directly into a required labor destruction of roughly 10 million jobs, or 12.5% of the vulnerable workforce, suggesting market turmoil or mass unemployment is inevitable.
While AI may make energy and labor nearly free, it cannot eliminate all scarcity. Finite resources like physical space (e.g., Malibu real estate) and time will always exist. This ensures that economic principles and competition will remain relevant in any future.
Contrary to popular belief, highly compensated cognitive work (lawyers, software engineers, financiers) is the most exposed to AI disruption. If a job can be done remotely with just a laptop, an advanced AI can likely operate in that same space. Physical jobs requiring robotics will be protected for longer due to cost and complexity.
Capitalism values scarcity. AI's core disruption is not just automating tasks, but making human-like intellectual labor so abundant that its market value approaches zero. This breaks the fundamental economic loop of trading scarce labor for wages.
While AI is capable of disrupting most knowledge work now, large enterprises move too slowly to implement it. Widespread job disruption will be delayed by organizational friction and slow adoption, not technological limitations, even if AGI were achieved today.