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AI Assistants · 4 min read · 2026-03-25

Mark Zuckerberg and Jensen Huang are part of Trump’s new ‘tech panel’

Mark Zuckerberg. | Image: Cath Virginia / The Verge, Getty Images Meta CEO Mark Zuckerberg, Oracle CEO Larry Ellison, Nvidia CEO Jensen Huang, and Google cofounder Sergey Brin will be the first four members of the President's Council of Advisors on Science and Technology (PCAST), according to the Wall Street Journal. The panel, which will "weigh in on AI policy," will include 13 members to start, but could grow to 24. Trump's AI and crypto czar David Sacks and White House tech advisor Michael Kratsios will co-chair the panel. According to the White House's January announcement for the panel, PCAST will "advise the President on matters involving science, technology, education, and innovation policy. The … Read the full story at The Verge.

Editorial take

The practical takeaway is not just that mark zuckerberg and jensen huang are part of trump’s new ‘tech panel’ matters. It is how this changes the assistant, agent, and automation stack for operators right now.

Mark Zuckerberg and Jensen Huang are part of Trump’s new ‘tech panel’ is part of a larger shift in how AI assistants, agents, and automation systems are evolving in public.

Mark Zuckerberg. | Image: Cath Virginia / The Verge, Getty Images Meta CEO Mark Zuckerberg, Oracle CEO Larry Ellison, Nvidia CEO Jensen Huang, and Google cofounder Sergey Brin will be the first four members of the President's Council of Advisors on Science and Technology (PCAST), according to the Wall Street Journal. The panel, which will "weigh in on AI policy," will include 13 members to start, but could grow to 24. Trump's AI and crypto czar David Sacks and White House tech advisor Michael Kratsios will co-chair the panel. According to the White House's January announcement for the panel, PCAST will "advise the President on matters involving science, technology, education, and innovation policy. The … Read the full story at The Verge.

The operator angle is what matters most here: products that improve execution, reduce friction, and create leverage for teams will keep compounding while generic AI noise gets ignored.

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