01What Trump's New AI Dream Team Is and How It Works
Trump's new AI dream team is the President's Council of Advisors on Science and Technology (PCAST). It includes Mark Zuckerberg, Jensen Huang, and Larry Ellison. These leaders advise the White House on AI policy.
PCAST has existed since 1933. Every president since FDR has had one. The idea is to bring outside experts to help make better science and tech decisions.
Trump's version has 13 members. 12 are CEOs, investors, or founders of major tech companies. One is a scientist, John Martinis, a Nobel Prize-winning quantum physicist from UC Santa Barbara.
The council produces recommendations. These go to David Sacks, Trump's AI and crypto czar, and Michael Kratsios, head of the Office of Science and Technology Policy. They shape executive orders and legislative proposals.
That's how industry advice becomes rules.
02Who's on the Council and What They Bring
The full council list includes Mark Anderson from Andreessen Horowitz, Sergey Brin from Google, Safra Catz and Larry Ellison from Oracle, Michael Dell from Dell Technologies, Fred Ehrsam from Coinbase, Jensen Huang from NVIDIA, Lisa Su from AMD, and Mark Zuckerberg from Meta. Also two energy founders: Jacob DeWitt from Oklo and Bob Mumgaard from Commonwealth Fusion Systems, plus venture investor David Freeburg.
This is the most industry-heavy PCAST in history. The administration's bet is simple: if you want to win the AI race, bring in the builders.
Each member matters for different reasons. Jensen Huang builds the chips that power AI. Mark Zuckerberg leads open-source AI with Meta's Llama models.
Larry Ellison runs Oracle's cloud infrastructure, which hosts AI workloads. These are the people who control the physical layers of AI.
03How to Get Started with Understanding PCAST's Impact
To understand what this council means for you, follow these steps:
- Know the members – Learn who sits on PCAST and what companies they lead. This tells you where their interests lie.
- Track the recommendations – PCAST produces advice, not laws. Watch for public reports or statements from the White House.
- Monitor policy changes – Look for executive orders or legislative proposals that follow council advice, like the national AI framework.
- Assess your AI tools – See which companies power the tools you use. If they depend on NVIDIA or Oracle, policy shifts could affect pricing or availability.
- Stay informed – Follow AI news and official announcements to anticipate changes in regulation.
This helps you adapt early rather than react late.
04How the Council's Work Affects Your Business Tools
The council's focus on infrastructure means the tools you use daily are shaped by these decisions. NVIDIA's chips run most AI tools like ChatGPT, Claude, Midjourney, and Gemini. Huang's seat influences chip export rules, which affect global AI development and costs.
Meta's push for open-source AI could lead to more free tools. Llama-based models already power many AI products for small businesses. If open-source wins, you get more competition and lower prices.
Oracle's infrastructure role affects data policy and energy permits. Faster data center builds could mean more capacity and better service. The national AI legislative framework also matters: it says training AI on copyrighted material is not a violation.
This affects content creators and businesses using AI-generated content.
05Results and Comparisons from the Episode
NVIDIA reported $215 billion in revenue for fiscal 2026, up 65% year over year. Data center revenue alone was $193.7 billion. Chinese competitors have ordered over 2 million of NVIDIA's most powerful chips, worth up to $14 billion in sales.
Meta is spending $115 to $135 billion on AI infrastructure in 2026, double its 2025 spend of $64 to $72 billion. Oracle has a $300 billion contract with OpenAI and a $523 billion backlog in future contracted revenue. Its cloud backlog is growing faster than AWS and Azure.
Compare this to Obama's and Biden's councils. Obama's had mostly academics. Biden's had 27 members from universities, non-profits, and industry.
Trump's has 13, mostly industry leaders. This shift is deliberate.
06Tips, Limits, and Mistakes to Avoid
Avoid thinking this council makes laws. It only offers recommendations. The real power is with Sacks and Kratsios.
Also, don't ignore state-level AI laws. Over 1,000 state AI bills were introduced in 2025, and 118 were enacted across 38 states. The federal framework aims to override them, but until then, they still apply.
Watch for regulatory sandboxes. These allow companies to experiment under relaxed rules. This could mean faster innovation but also less consumer protection.
Be ready for changes.
Don't assume all council members agree. They have different interests. Meta wants open-source, NVIDIA wants chip sales, Oracle wants cloud contracts.
Their advice may conflict. Expect compromises.
07Who This Matters For and Why It's Important
This matters for any business owner, content creator, agency, or freelancer using AI tools. The price and capability of tools are downstream of these decisions. If you run a small business, open-source AI could cut costs.
If you create content, copyright policies affect you.
The council's makeup signals that infrastructure is the key battleground. The people who control chips, data centers, and power will shape AI's pace. Understanding this helps you anticipate changes.
Notice who's not on the council: Elon Musk and Sam Altman. Musk's relationship with Trump broke down in 2025. Altman stood at the White House for Stargate but isn't on PCAST.
This suggests the administration values hardware over software. That framing matters for your AI strategy.
08What to Watch Next with the AI Dream Team
Keep an eye on chip export rules. The fate of those 2 million chip orders to China will affect global AI supply. Also watch for federal AI legislation.
The framework supports no new AI regulatory body, so existing agencies will handle it.
Track energy policy. Fast-tracking permits for data centers over 100 megawatts on federal land is a sign. More of these orders may come, affecting energy costs and availability.
Finally, watch for open-source AI growth. If Meta's push succeeds, Llama models could become more dominant. This could lead to more free tools for you.
Stay informed and adapt early.