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The 3 New AI Directives from the Administration

1. Filtering “Woke AI” from Federal Procurement

This order bans the federal government from acquiring any generative AI models that the administration judges to have ideological bias or “woke” content, mandating instead that systems show “truthfulness, historical accuracy, scientific inquiry, and objectivity”.

Procurement contracts must include the new “Unbiased AI Principles”, enforced via OMB guidance instructing agencies to vet LLMs for ideological neutrality.

OMB will issue detailed rules within 120 days, which will:

  1. Define compliance parameters for agencies procuring AI, including disclosure of system prompts, model specifications, and evaluation methodologies, without forcing vendors to reveal proprietary model weights.
  2. Ensure contracts explicitly incorporate the principles and assign financial liability (e.g., decommissioning costs) to vendors who fail to comply after a cure period.
  3. Allow technical flexibility, permitting agencies to adapt the principles to different use cases, and providing exceptions for national security systems.  

Aimed at preventing “woke Marxist lunacy,” it restricts the use of AI that promotes diversity and inclusion ideals in federal systems.

2. Speeding Data Center Build‑out & Deregulating Energy

This directive speeds up the construction of AI and semiconductor data centers by removing permitting delays, offering federal loans, grants, and tax breaks, and softening or revoking Biden-era climate and DEI requirements on federal.

It fast-tracks approval for energy infrastructure critical to AI computational workloads, prioritizing gas and coal while scaling up the electric grid and workforce (electricians, HVAC techs).
This is part of a broader national push to remove “burdensome red tape” and “onerous federal regulations” to enable a surge in computing capacity.

3. Expanding AI Exports to U.S. Allies

A third order directs the Commerce and State Departments to create “full-stack AI export packages”, including hardware, software, cybersecurity, data systems, models, standards, for allied nations in sectors like healthcare, agriculture, education, and transportation.

It seeks to mobilize over $100 billion in financing through agencies like the Export-Import Bank and DFC to support international AI deployment. The goal is to cement American dominance in global AI supply chains, counter China’s influence, and shape international tech governance.

What are the potential risks AI Executive Orders

  1. Bias under a different guise
    • The “neutrality” requirement could embed a different ideological agenda by excluding DEI-informed models.
    • Broad government decrees on neutrality may chill model diversity, reducing voices representing marginalized communities.
  2. Environmental and local impact
    • Rapid build‑outs may compromise environmental reviews and local input, straining power grids and accelerating carbon emissions as well as creating dirty power (unwanted harmonics) to surrounding homes and businesses.
    • Civil society groups warn that bypassing safeguards prioritizes Big Tech and energy interests over labor, civil rights, and environmental justice.
  3. Geopolitical and regulatory pushback
    • Aggressive export diplomacy might trigger techlash in partner nations, with concerns over privacy, national security, and dependency.
    • Divergence from EU/UK’s precautionary stance could create compliance friction for companies navigating multiple jurisdictions.
  4. Neglect of core safety risks
    • The deregulatory focus mostly ignores AI-specific threats like deepfakes, disinformation, autonomous weapons, and frontline safety failures.
    • Experts caution that without risk-based governance (i.e., threat assessments, testing, licensing regimes), advanced frontier AI could be deployed recklessly.

Conclusions

  • The administration’s approach prioritizes innovation, U.S. leadership, and market dominance over precaution and democratic concerns.
  • But it risks ideological conformity, environmental degradation, and privacy/security oversights, potentially undermining trust in AI.
  • We need to strike the right balance between maintaining global competitiveness while building robust guardrails in order to avoid technological, social, and geopolitical problems.
author

Robert Bergman

Robert Bergman with Next Level Mediation provides full mediation services - including proprietary and confidential Decision Science (DS) analysis that assists each party in understanding their true litigation priorities as aligned with their business objectives. Each party receives a one-time user license to access our exclusive DS Application Cloud. We… MORE

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