Addressing large-scale displacement requires moving beyond traditional unemployment benefits. One practical lever involves implementing a robust Lifelong Learning Account system. Instead of one-time retraining programs that fail, governments could provide portable training credits that workers carry through multiple careers. These funds allow individuals to upskill or pivot before their current role becomes obsolete.
We must also rethink taxation. As AI increases capital returns while shrinking labor income, the tax burden often shifts away from robots toward humans. Implementing a modest automation tax on high-output AI systems could fund transition programs or a guaranteed basic income. This isn't about punishing innovation. It is about recapturing the productivity gains that machines generate to support the people they replace.
Furthermore, we should strengthen the social floor through modernized portable benefits. Currently, health insurance and retirement plans often tie workers to a single employer. This makes job changes risky. Decoupling these benefits from specific companies allows for a more fluid, resilient workforce. By creating a safety net that follows the person rather than the job, we provide the stability necessary for people to navigate a shifting economy without losing their dignity or basic security.
