Economic Policy for AGI

Abstract

As the development of artificial general intelligence (AGI) accelerates, the potential for profound, structural displacement of human labour necessitates a proactive re-evaluation of macroeconomic stabilisers and redistributive frameworks. This paper assesses twenty-four labour, welfare, and taxation interventions across a spectrum of technological disruption—ranging from mild frictional shocks to a theoretical post-labour asymptote—utilising an automated, multi-agent evaluation methodology. We advocate for a phased, 'least regret' strategy anchored by a Negative Income Tax and supported by targeted industrial policy, providing a resilient and adaptable foundation to secure consumer welfare and democratise the gains of technological progress.