Opinion | AI Regulation Needs a ‘Bank Examiner’

2026-05-18 · Source: Technology - WSJ.com · Field: Legal & Regulatory — Regulatory Affairs & Government Relations, Compliance & Risk Management · Depth: Intermediate, quick

Summary

The Trump administration, despite initially promising to deregulate AI, is now considering stricter oversight, with National Economic Council Director Kevin Hassett suggesting that frontier AI models should undergo safety testing similar to FDA drug approvals. While the White House appears to be moderating this stance, a leaked draft executive order reportedly mandates prerelease testing for AI systems. This shift towards more stringent regulation is further highlighted by the Pentagon's classification of Anthropic as a supply-chain risk due to the company's self-imposed restrictions on military applications, indicating a growing tension between AI development and national security concerns.

Key takeaway

For CTOs and VPs of Engineering evaluating future AI development and deployment strategies, anticipate a regulatory environment that increasingly demands prerelease safety validation. Your teams should begin integrating robust testing protocols and consider the implications of potential "red lines" on model usage, especially for government or defense contracts, to mitigate future compliance risks and supply-chain disruptions.

Key insights

AI regulation is shifting towards a "bank examiner" model, emphasizing expert supervision over product-safety laws.

Principles

• AI models require proven safety before release.
• Expert bodies are better for AI supervision.

In practice

• Implement prerelease safety testing for AI.
• Establish an expert AI oversight body.

Topics

• AI Regulation
• Bank Examiner Model
• Frontier AI Models
• AI Safety
• Anthropic

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Policy Maker, Legal Professional, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Technology - WSJ.com.