Trump’s 2026 AI Policy Panel: Zuckerberg, Huang, Ellison Lead Tech Advisory Council
Former President Donald Trump has appointed Mark Zuckerberg, Jensen Huang, and Larry Ellison to the newly reconstituted President’s Council on Science and Technology, a 13-member panel tasked with shaping U.S. AI policy. The move signals a high-level industry alignment on emerging technologies.

Trump’s 2026 AI Policy Panel: Zuckerberg, Huang, Ellison Lead Tech Advisory Council
summarize3-Point Summary
- 1Former President Donald Trump has appointed Mark Zuckerberg, Jensen Huang, and Larry Ellison to the newly reconstituted President’s Council on Science and Technology, a 13-member panel tasked with shaping U.S. AI policy. The move signals a high-level industry alignment on emerging technologies.
- 2Trump’s 2026 AI Policy Panel: Zuckerberg, Huang, Ellison Lead Tech Advisory Council In late March 2026, President Trump reestablished the President’s Council of Advisors on Science and Technology (PCAST) and appointed Mark Zuckerberg (Meta), Jensen Huang (NVIDIA), and Larry Ellison (Oracle) to its inaugural tech advisory panel.
- 3This 13-member council, also known as Trump’s 2026 AI policy panel, is tasked with shaping U.S.
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Trump’s 2026 AI Policy Panel: Zuckerberg, Huang, Ellison Lead Tech Advisory Council
In late March 2026, President Trump reestablished the President’s Council of Advisors on Science and Technology (PCAST) and appointed Mark Zuckerberg (Meta), Jensen Huang (NVIDIA), and Larry Ellison (Oracle) to its inaugural tech advisory panel. This 13-member council, also known as Trump’s 2026 AI policy panel, is tasked with shaping U.S. federal strategy on artificial intelligence, quantum computing, and semiconductor supply chains. The move signals a major pivot toward industry-led governance in critical technology sectors.
How the 2026 Tech Panel Will Shape AI Regulation
The inclusion of three Silicon Valley titans reflects a deliberate strategy to align federal AI regulation with real-world innovation. Each leader brings domain expertise: Zuckerberg on generative AI and content ecosystems, Huang on AI accelerators and hardware infrastructure, and Ellison on enterprise cloud and data sovereignty solutions.
AI Governance Through Private Sector Expertise
PCAST’s advisory role is non-binding, but its influence is profound. By embedding industry leaders directly into policy design, the White House aims to reduce regulatory friction and accelerate deployment of secure AI systems. Analysts note this may ease compliance burdens for tech firms while embedding ethical guardrails early.
National Security and Algorithmic Bias
Firstpost reports the panel’s mandate includes addressing algorithmic bias, data localization, and AI’s national security implications — particularly in response to China’s rapid AI advancements. Federal R&D funding priorities and workforce training programs will also be reviewed.
Conflict of Interest Concerns
Critics warn that appointing CEOs of companies with massive regulatory stakes may skew outcomes. The White House insists transparency measures, including public hearings and independent scientists on the panel, will mitigate bias. A full roster, including academics and defense experts, will be revealed by April 2026.
Global Implications of Trump’s AI Advisory Board
Trump’s 2026 tech panel isn’t just domestic policy — it’s a strategic signal in the global tech race. By consolidating U.S. tech leadership under a unified advisory body, the administration aims to counter China’s state-backed AI initiatives and strengthen alliances with democratic tech partners like Japan and the EU.
U.S. Tech Competitiveness at Stake
With semiconductor supply chains still fragile and AI innovation accelerating, this panel’s recommendations could define America’s technological sovereignty for the next decade. The White House has tied PCAST’s output directly to the National AI Initiative Act of 2026.
What Comes After May 2026?
A public hearing is scheduled for May 2026, where the panel will present preliminary findings. Expect proposals on AI licensing, export controls, and federal procurement standards. Businesses and developers should monitor these updates closely — they may reshape how AI tools are built and deployed across the U.S.
Why This Matters for Innovation and Regulation
This marks the first major PCAST restructuring since 2021. Unlike previous administrations, Trump’s approach prioritizes direct industry input — a shift many call pragmatic, others call risky. But one thing is clear: the future of U.S. AI policy will be written with input from Silicon Valley’s most powerful CEOs.

