Trump reportedly to appoint Jensen Huang (黄仁勋), Mark Zuckerberg (扎克伯格) and other tech leaders as AI advisers
High-profile industry council reportedly in the works
It has been reported that former President Donald Trump will assemble a technology advisory group that includes Jensen Huang (黄仁勋), the CEO of NVIDIA, and Mark Zuckerberg (扎克伯格), CEO of Meta, alongside other senior figures from the tech sector to provide suggestions on U.S. AI policy. The move, reportedly aimed at shaping regulation, research priorities and industrial strategy for artificial intelligence, would lean heavily on the industry’s executives rather than career regulators.
Who’s likely to influence policy — and why it matters
Why pick the people who build the chips and platforms? NVIDIA dominates the market for AI accelerators that power large models, and Meta runs some of the largest AI research and deployment projects in the private sector — both are central to how AI evolves in practice. The choice of advisers matters because companies can push for rules that favor rapid deployment, export-friendly supply chains, or industry-friendly liability regimes. It has been reported that the council will advise on balancing innovation with safety and competitiveness.
Geopolitical and governance context
This advisory approach comes amid heightened U.S.-China tensions over technology: export controls on advanced chips, scrutiny of Chinese AI firms, and broader trade and national-security frictions. That context raises questions about conflicts of interest and the line between national strategy and corporate advantage. Reportedly, critics will press for transparency about deliberations and potential recusal rules; supporters argue industry insight is indispensable for practical, up-to-date policy.
What’s next
Details remain thin and it has been reported that the roster and formal remit are still being finalized. Observers in Washington, Silicon Valley and Beijing will be watching: can a council made up of the industry’s most powerful players craft policies that protect security and public interest without merely entrenching incumbents? The answer will shape the next phase of the global AI race.
