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“White House Scales Back AI Executive Order After Industry Pushback” 🚨🚨🚨

The White House has released a softened version of its highly anticipated artificial intelligence executive order after intense lobbying from major tech industry figures reportedly led to a last-minute rewrite.

The final order, announced Tuesday, represents a notable step down from earlier drafts that would have given the federal government expanded oversight powers over frontier AI systems before public release.

Under the original proposal, regulators would have been granted up to a 90-day review window to examine new AI models for safety risks and national security concerns before they were deployed publicly. That provision has now been reduced to a 30-day voluntary review period.

The change reflects ongoing tension between Washington and leading AI developers over how aggressively advanced models should be regulated as their capabilities expand.

Earlier versions of the policy reportedly gained momentum after concerns were raised over next-generation systems — including internal discussions around high-performance models such as Anthropic’s frontier releases — which some officials believed could pose emerging safety and security risks.

However, the proposed framework was ultimately scaled back following what reports describe as direct lobbying from senior technology executives and political advisers. Among those involved were figures aligned with former White House AI and crypto policy efforts, who argued that stricter pre-release government access could slow innovation and disadvantage U.S. firms in a rapidly intensifying global AI race.

The final executive order instead focuses on coordination rather than direct pre-deployment control. It establishes an “AI cybersecurity clearinghouse” designed to facilitate collaboration between government agencies and industry, and instructs national security bodies to develop a classified benchmarking system for evaluating advanced AI model capabilities.

Supporters of the revised approach say it strikes a balance between national security concerns and the need to maintain U.S. leadership in artificial intelligence development. Critics, however, argue that the rollback leaves significant gaps in oversight at a time when frontier AI systems are advancing rapidly.

The policy shift underscores a broader theme in AI governance: regulators are still struggling to define how much visibility and control governments should have over cutting-edge models without slowing the commercial race driving the industry.

As AI capabilities accelerate, the debate over transparency, safety, and competitive advantage is likely to intensify further — especially as companies approach increasingly powerful next-generation systems.