Alex Imas and Phil Trammell – What Remains Scarce After AGI? (www.dwarkesh.com)

In a recent discussion, economists Alex Imas and Phil Trammell explored the complex economic questions surrounding the potential implications of Artificial General Intelligence (AGI) on labor, wealth distribution, and market dynamics. They highlighted critical considerations on how to tax and redistribute the wealth generated by AI, grapple with rising inequality, and assess what economic roles humans might occupy in an increasingly automated world. Their insights emphasize that as automation advances, the sectors where human interaction is valued—termed the "relational sector"—may become scarcer, offering new opportunities even as traditional jobs face obsolescence. The dialogue notably addresses that typical economic predictions have often fallen short, citing historical perspectives from economists like David Ricardo who misjudged job automation's trajectory. Imas advocates for a shift towards prediction markets to harness collective insights instead of relying solely on individual forecasts. He also stressed the need for better data to analyze job creation and destruction, challenging the notion that labor share will inevitably decline as AI capabilities expand. This conversation is significant for the AI/ML community as it underscores the essential intersection of technology and economics, urging a proactive approach to prepare for AGI's far-reaching economic consequences.