"World of DaaS" Economist Glenn Hubbard - The Fed’s Dilemma, AI Productivity, and Why Experts Lost Trust
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Jan 12, 2026 Glenn Hubbard, an esteemed finance and economics professor at Columbia Business School and former Chair of the Council of Economic Advisers, dives into several pressing issues. He discusses the Fed's tricky position on rate cuts, speculation on AI bubbles, and the divergence of consumer sentiment from economic reality. Hubbard argues for better government data and urges more direct communication with CEOs to forecast economic shifts. He also critiques current tariff policies and reinforces the importance of transparency in education ROI.
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Upgrade Government Data Practices
- Improve government data by upgrading surveys and linking with private data sources like ADP.
- Use Gen AI and user governance panels to refine public data and models.
Share And Disaggregate Administrative Data
- Release anonymized tax and IRS-derived datasets to researchers and the public when possible.
- Disaggregate data (e.g., small vs. mid-size firms) to reveal meaningful economic heterogeneity.
Talk To Business Leaders For Early Signals
- High-frequency qualitative outreach (CEOs, CFOs) reveals turning points before surveys catch up.
- Talking to business leaders yields actionable signals that formal surveys may miss.
