Creating Shared Prosperity With AI: Stanford Digital Economy Lab’s Erik Brynjolfsson

AI serves as a powerful tool for economic transformation, yet its impact depends heavily on human choices rather than technological limitations. Erik Brynjolfsson, director of the Stanford Digital Economy Lab, highlights the "J-curve" phenomenon, where productivity gains remain elusive until organizations invest in complementary intangible assets like redesigned business processes and workforce reskilling. The "Turing trap"—the tendency to use AI solely to mimic or replace human labor—stifles innovation. Instead, leveraging AI to augment human capabilities and develop new products fosters sustainable growth. Empirical analysis of payroll data reveals that while AI exposure correlates with employment declines among early-career workers, those roles focused on augmentation rather than automation experience job growth. Ultimately, AI acts as an amplifier of human intention, requiring proactive leadership to balance wealth creation with shared prosperity.