AI NewsMarch 26, 20263 min

Trump to Appoint Zuckerberg, Ellison, and Huang to New AI Technology Council

President Trump is set to appoint Mark Zuckerberg, Larry Ellison, and Jensen Huang to a new technology council focused on AI policy, co-chaired by David Sacks.

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Trump to Appoint Zuckerberg, Ellison, and Huang to New AI Technology Council

Trump to Appoint Zuckerberg, Ellison, and Huang to New AI Technology Council

President Trump is set to appoint Mark Zuckerberg (Meta), Larry Ellison (Oracle), and Jensen Huang (NVIDIA) to a new technology council focused on AI policy, according to a Wall Street Journal report on March 26, 2026.

The council, co-chaired by White House AI and Crypto Czar David Sacks, will include up to 24 members and advise the administration on artificial intelligence policy, regulation, and competitiveness.

The Key Appointments

Mark Zuckerberg — Meta CEO

  • Oversees Llama, the leading open-source AI model family
  • Controls Instagram, WhatsApp, and Facebook AI systems
  • Has advocated for lighter AI regulation to maintain US competitiveness

Larry Ellison — Oracle Chairman and CTO

  • Oracle is a major cloud provider for AI workloads
  • Has pushed for AI in enterprise and government applications
  • Long-standing relationship with defense and intelligence agencies

Jensen Huang — NVIDIA CEO

  • NVIDIA powers virtually all major AI training and inference
  • Controls the GPU supply chain critical to AI development
  • Has warned about AI export restrictions affecting US competitiveness

David Sacks as Co-Chair

David Sacks, appointed as White House AI and Crypto Czar in early 2025, will co-chair the council. Sacks has been a vocal advocate for:

  • Minimal AI regulation to maintain US leadership
  • Opposition to what he terms "AI doomerism"
  • Focus on beating China in the AI race rather than slowing development

His co-chairmanship signals the council's likely orientation: pro-innovation, anti-regulation, and competitiveness-focused.

What the Council Might Address

Based on the appointees and administration priorities, expect focus on:

1. Export controls — Balancing national security with industry growth

2. Energy infrastructure — Powering data centers for AI training

3. Workforce development — Training for AI-related jobs

4. Government AI adoption — Modernizing federal systems

5. International competitiveness — Maintaining US lead over China

Notably absent from early discussions: AI safety regulation, bias mitigation, or existential risk frameworks. The council's composition suggests a growth-first approach.

Industry Implications

For AI companies, this council represents direct access to policy-making. The inclusion of open-source (Meta), enterprise (Oracle), and infrastructure (NVIDIA) perspectives suggests a comprehensive view of the AI ecosystem.

The exclusion of OpenAI and Anthropic from initial reports is notable. Both companies have emphasized AI safety in ways that may conflict with the administration's growth-focused approach.

What This Means for AI Development

If the council follows Sacks' stated priorities:

  • Lighter touch regulation than EU or previous US proposals
  • Focus on beating China rather than domestic restrictions
  • Support for open-source AI given Meta's inclusion
  • Energy and infrastructure investment to support data center growth

For developers and companies building AI products, this signals a permissive regulatory environment. The emphasis will likely be on enabling innovation rather than constraining it.

What to Watch

Key questions for the coming months:

1. Who fills the remaining council seats?

2. Will OpenAI, Anthropic, or Google DeepMind participate?

3. What specific policy recommendations emerge?

4. How does this interact with existing AI safety efforts?

The council's composition and charter will shape US AI policy for years. With frontier AI advancing rapidly, the decisions made here will affect every developer building on these technologies.


The Wall Street Journal first reported the council appointments on March 26, 2026.

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Expert researcher and writer at NeuralStackly, dedicated to finding the best AI tools to boost productivity and business growth.

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