Automation Led to Economic Misery. AI Doesn't Have To (www.theatlantic.com)

Over the past four decades, automation driven by digital technology has exacerbated economic inequality, enriching a few while punishing many, and contributing to a crisis in liberal democracy. As generative AI becomes more prevalent, there are concerns it may amplify these disparities. However, a framework for “pro-worker AI” exists, which seeks to enhance human capabilities rather than replace them. This approach emphasizes creating AI tools that help workers across various sectors, from electricians to educators, ultimately increasing wages and productivity while generating new, meaningful job opportunities. Pro-worker AI is technologically feasible and promises significant implications for the workforce. For example, AI trained on specialized knowledge can assist electricians in troubleshooting complex systems, while educational AI can personalize curricula based on student performance trends. To realize the potential of pro-worker AI, however, society must redirect investment and policy efforts away from automation-focused initiatives. This includes reforming tax structures to favor labor over machinery, fostering a competitive tech environment through antitrust enforcement, and bolstering workforce training programs. Ultimately, embracing pro-worker AI stands to restore the link between productivity growth and good jobs, benefiting a diverse workforce and revitalizing the economy.