Descriptions:
In this Office Hours segment, NYU professor and entrepreneur Scott Galloway tackles the question of whether AI-driven algorithmic trading is making financial markets structurally more resilient to crashes. The episode is framed around a Reddit listener question about whether robo-traders and AI systems are dampening the emotional panic that historically caused severe market downturns.
Galloway grounds his analysis in concrete data: algorithmic trading now accounts for 60–75% of total US equity trading volume, up from roughly 15% in 2003 and plateauing around 70–80% since 2010. He notes that passive index funds now represent 57% of equity fund assets (up from 36% in 2016), and that passive investors don’t panic-sell — they rebalance on schedule. His conclusion is a cautious “maybe” — algorithms do reduce sentiment-driven volatility in normal conditions, but during extreme stress events, coordinated algorithmic withdrawal can create sudden liquidity gaps that amplify rather than dampen crashes.
The episode also covers unrelated topics including introversion strategies for career advancement. For anyone tracking the intersection of AI, quantitative finance, and market structure, the trading segment offers a clear-eyed, data-supported framework for understanding how AI has already reshaped equity markets — and where the systemic risks of that transformation still lie.
📺 Source: The Prof G Pod – Scott Galloway · Published May 13, 2026
🏷️ Format: Opinion Editorial
