Summary
In this office hours segment of The Prof G Pod, NYU professor and investor Scott Galloway responds to a listener working in AI adoption consulting who observes growing AI fatigue inside organizations. Galloway uses the question to lay out a bearish case on AI stocks while maintaining confidence in the underlying technology, arguing that the industry is transitioning from an “experimentation era” into an “ROI era” that will expose a painful gap between current valuations and actual business results.
Galloway cites a wide range of data points: worldwide AI spending is forecast at $2.6 trillion in 2026, up 47% year-over-year, yet a survey of 6,000 senior executives found 90% report AI has had no measurable impact on productivity over the past three years. A 2024 MIT study found 77% of vision-based tasks are still cheaper to perform with human labor, and Microsoft reportedly canceled most of its direct cloud code licenses just six months after opening access. Apollo chief economist Torsten Slok, Galloway notes, sees no signs of AI boosting profit margins outside of the tech sector itself.
Galloway predicts a significant market drawdown — not a dot-com-style collapse since AI company revenues are genuinely growing — but a repricing as earnings fail to meet expectations baked into valuations at companies like Nvidia, Microsoft, and the frontier model labs. He identifies supply chain automation (citing Flexport) as a near-term winner and suggests the best business opportunity may be in helping companies decide where AI spending is and is not justified.
📺 Source: The Prof G Pod – Scott Galloway · Published July 06, 2026
🏷️ Format: Podcast
