As companies replace human workers with AI 'robots,' they eliminate a crucial source of government funding: payroll taxes. This trend threatens the solvency of programs like Social Security, which rely on a large base of human workers to support a growing retiree population.
Widespread AI-driven job loss will reduce consumer spending. In response, businesses will be forced to cut costs further by accelerating AI adoption, which in turn leads to more job losses and even lower consumption, creating a vicious cycle.
A rapid, significant (e.g., 5%) spike in unemployment over a short period (e.g., 6 months) due to AI would trigger an immediate and massive political and economic response. This would be comparable in speed and scale to the multi-trillion dollar stimulus packages passed during the COVID-19 pandemic.
Beyond displacing current workers, AI will lead to hiring "abatement," where companies proactively eliminate roles from their hiring plans altogether. This is a subtle but profound workforce shift, as entire job categories may vanish from the market before employees can be retrained.
The AI industry and the US government both require trillions in funding. This creates a paradox: the more successful AI becomes, the more it erodes the white-collar tax base by automating jobs, forcing the Treasury to borrow even more and intensifying the competition for scarce capital.
Faced with mass job loss from AI, governments are unlikely to seize assets from the wealthy. The politically easier path is to print massive amounts of money for social support, preserving the existing capital structure while devaluing the currency.
AI's impact on labor will likely follow a deceptive curve: an initial boost in productivity as it augments human workers, followed by a crash as it masters their domains and replaces them entirely. This creates a false sense of security, delaying necessary policy responses.
While proclaiming AI will create jobs, tech giants like Google and Meta have seen profits soar while their employee counts have fallen from 2022 peaks. This data from AI's biggest adopters provides concrete evidence that fuels public skepticism and fears of widespread, technology-driven job losses.
The labor market faces a dual threat. Weak demand, linked to tariffs and deglobalization, has already pushed job growth to zero. As AI adoption accelerates productivity, it could further suppress labor demand, potentially tipping the economy into a state of net job decline.
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.
Even if China could fully automate production to offset its shrinking workforce, its economic model would still collapse. AI and robots cannot replace the essential roles of human consumers, taxpayers, and parents, which are necessary for economic vitality, government revenue, and generational replacement.