Reported

FDR’s lesson for AI regulation

Source: Fortune
Author: Not listed
Published: Oct 4, 2026, 12:00 PM UTC
Collected: Oct 6, 2026, 3:05 AM UTC
Original language: English
Country / region: United States · North America

AI Policy and RegulationAI in Government

Summary

The article explores how Franklin D. Roosevelt's approach to banking and securities regulation during the New Deal could serve as a historical blueprint for contemporary AI oversight. It suggests that transparency and market integrity, rather than outright bans, might provide a balanced path for managing emerging technologies.

Confirmed facts

William R. Gruver, a retired Goldman Sachs partner and Open Discourse Coalition fellow, argues for applying New Deal principles to AI, according to Fortune.
The proposed regulatory framework emphasizes disclosure and accountability to prevent systemic instability, per the author's analysis.

Uncertainties

Whether the specific mechanisms used for financial markets can be effectively translated to the technical complexities of large language models.

Why it mattersAnalysis

Looking to historical precedents like the New Deal may help policymakers move past partisan gridlock by utilizing tested American governance strategies.

Human impactAnalysis

If successful, this regulatory approach could protect citizens from AI-driven fraud and misinformation without stifling technological progress.

Educational relevanceAnalysis

This piece provides a historical context for how the U.S. government has successfully navigated previous periods of intense economic and technological upheaval.

Professional relevanceAnalysis

The article suggests that professionals in the finance and tech sectors should expect a shift toward disclosure-based compliance rather than rigid technical prohibitions.

Global South relevanceAnalysis

Standardized regulatory models from the U.S. often set the tone for international standards that impact how developing nations adopt and govern AI.

AI-assistance disclosure

This summary may have been assisted by AI-assisted tools for classification, translation, extraction, or drafting. The original source should be consulted. Human review and editorial judgment remain responsible for publication.

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