Joshua S. Gans

“Academic expert expressing uncertainty about whether AI will provide small incremental benefits or drive profound change in legal work.”

Automation of complementary tasks (O-ring technology) creates discrete bundled adoption requirements and can increase labor income by scaling bottleneck task value, contradicting linear task-level displacement models.

“Co-authored NBER working paper on O-Ring Automation studying task automation and labor displacement.”

Recent AI developments reduce prediction costs, making certain human labor complementary while reducing returns to other types of judgment, and humans will delegate decisions to machines even when human input would improve outcomes.

“Co-authored research examining how recent AI developments reduce costs of prediction tasks and their impact on decision-making and productivity.”