President-elect Donald Trump has appointed senior executives from Meta, NVIDIA, Oracle, and Google to a newly formed Presidential Council of Advisors on Artificial Intelligence, according to reports from The Verge AI and TechCrunch AI. The announcement marks a significant shift in Silicon Valley’s engagement with the incoming administration.
Meta CEO Mark Zuckerberg and NVIDIA CEO Jensen Huang are amongst the confirmed appointees to the advisory body, which will provide direct counsel to the White House on AI policy and regulation. Oracle’s leadership and representatives from Google’s parent company Alphabet are also joining the council, though specific names beyond Zuckerberg and Huang have not been publicly disclosed.
The formation of this council represents a departure from the tech industry’s often adversarial relationship with Trump during his first term. Meta famously suspended Trump’s accounts following the January 6 Capitol riot, whilst other platforms grappled with content moderation decisions around the former president. The willingness of these executives to participate suggests a pragmatic recalibration as the industry faces mounting regulatory pressure globally.
The advisory council arrives at a critical juncture for AI governance. The European Union’s AI Act took effect in stages throughout 2024, whilst China continues to advance its own regulatory framework. The United States has largely relied on voluntary commitments from tech companies and sector-specific guidance rather than comprehensive federal legislation. This council could shape whether that approach continues or shifts towards more structured oversight.
Business Impact
The appointment delivers significant advantages to the participating companies. Direct access to presidential policy-making provides these firms with unparalleled influence over regulatory direction at a time when AI governance frameworks remain fluid. Smaller competitors and startups, excluded from this inner circle, face a structural disadvantage in shaping rules that will govern their operations.
Meta stands to benefit particularly from closer government ties as it pursues its AI ambitions whilst managing ongoing antitrust scrutiny. NVIDIA’s inclusion reinforces its position as the infrastructure backbone of the AI industry, with the company controlling approximately 80-90% of the AI chip market according to industry estimates. Oracle’s participation signals the enterprise software sector’s stake in AI policy, whilst Google’s involvement comes as it faces intensified competition from OpenAI and mounting questions about its search monopoly.
The composition notably excludes OpenAI, Anthropic, and other AI-native companies that have driven much of the recent innovation. This absence may reflect the council’s focus on established corporate interests rather than emerging players, potentially tilting policy discussions towards incumbent advantages.
Regulatory Implications
The council’s formation suggests the incoming administration will prioritise industry partnership over adversarial regulation. This approach contrasts with the Biden administration’s AI Executive Order, which emphasised safety testing requirements and civil rights protections. Trump’s team has previously indicated intentions to rescind that order.
The business community will be watching whether this advisory body pushes for pre-emptive federal legislation that could override stricter state-level AI regulations. California’s proposed AI safety bills, though recently vetoed, demonstrated appetite for more stringent oversight that some companies view as burdensome.
International competitiveness arguments are likely to feature prominently in the council’s recommendations. The framing of AI development as a strategic race with China has historically united both parties and could provide cover for lighter-touch domestic regulation.
What to Watch
The council’s first policy recommendations will indicate whether this body serves as genuine policy counsel or primarily as a channel for industry lobbying. Key areas to monitor include positions on open-source AI models, liability frameworks for AI-generated content, and data privacy requirements that affect training datasets.
The response from excluded companies and civil society organisations will shape public perception of the council’s legitimacy. If the body is perceived as regulatory capture, it could galvanise opposition and potentially backfire politically.
The concentration of AI policy influence amongst a handful of executives raises fundamental questions about democratic governance of transformative technology, questions that will persist well beyond this administration.
