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Gang of 3: Zuckerberg, Musk, and Huang Call Trump to Oppose AI Regulation

Meta Platforms CEO Mark Zuckerberg, SpaceX CEO Elon Musk, and NVIDIA CEO Jensen Huang each spoke separately with President Donald Trump last week and persuaded him to abandon a proposed federal AI oversight body, according to 247wallst.com. The framework, floated by Google DeepMind's Demis Hassabis, would have created an industry-funded standards and testing body modeled on FINRA to evaluate frontier models before deployment; the three CEOs argued it would cement dominance for OpenAI, Anthropic, and Google by creating a regulatory moat. On their earnings calls, Zuckerberg said Meta's Q2 2026 revenue rose 27.96% year over year to $60.80 billion while diluted EPS of $6.18 missed the $7.2214 consensus by 14.42%, Musk said SpaceX's AI segment revenue jumped 247% year over year to $2.56 billion with a tentative target of 20 gigawatts online by the end of next year, and Huang said NVIDIA's Q2 FY2027 revenue reached $96.22 billion, up 105.85% year over year, with supply for about 70% of demand.

by read3 min views5 publishedSep 17, 2026
Gang of 3: Zuckerberg, Musk, and Huang Call Trump to Oppose AI Regulation
Image: 247Wallst (auto-discovered)

Three CEOs with hundreds of billions already committed to AI infrastructure made separate calls to the White House last week, and a proposed federal oversight body quietly disappeared. Here is what each of them said on their earnings calls that…

Three of the loudest voices in AI spent last week working the phones. Meta Platforms (NASDAQ:META | META Price Prediction) CEO Mark Zuckerberg, SpaceX (NASDAQ:SPCX) CEO Elon Musk, and NVIDIA (NASDAQ:NVDA) CEO Jensen Huang reportedly spoke separately with President Donald Trump and convinced him to back away from a proposed federal AI oversight body. The concept, floated by Google DeepMind’s Demis Hassabis, would have created an industry-funded standards and testing body modeled on FINRA to evaluate frontier models before deployment. The three CEOs argued the framework would cement dominance for OpenAI, Anthropic, and Google, creating a regulatory moat.

Zuckerberg: AI Is Now the Whole Business #

On Meta’s Q2 2026 call, Zuckerberg told analysts “AI is accelerating our core business today, powering our next generation of products, and opening the door to entirely new enterprise opportunities.” He also flagged that Meta is “receiving a lot of offers for compute at a significant premium over what we paid for it”. Revenue rose 27.96% year over year to $60.80 billion, but diluted EPS of $6.18 missed the $7.2214 consensus by 14.42%. Capex hit $30.12 billion in the quarter, and Meta narrowed full-year 2026 capex guidance to $130 billion to $145 billion. Free cash flow collapsed to $784 million from $8.55 billion.

Musk: 20 Gigawatts and Exclusive to NVIDIA #

Musk left little doubt about his AI ambitions on the August 4 earnings call. “We are building AI compute capacity at scale faster than anyone else, we believe,” he said, adding that the company’s “tentative target is to actually have 20 gigawatts at the power and cooling level online by the end of next year.” On chip supply, he was blunt: “Going forward, we’ve decided to build exclusively on NVIDIA because we think the Vera Rubin architecture is the best architecture.” SpaceX’s AI segment revenue jumped 247% year over year to $2.56 billion, with $15.83 billion of the quarter’s $18.37 billion in capex directed to AI compute infrastructure.

Huang: “Compute Is Revenue” #

Huang was the most direct. “AI has reached its inflection point. It’s doing useful work. Its tokens are productive and profitable. Now, compute is revenue,” he told investors on August 26. He also warned that NVIDIA is running short: “At this moment, we have supply for 70%. We have more supply than 70%, but about 70%. Our demand is much higher than that.” Q2 FY2027 revenue reached $96.22 billion, up 105.85% year over year, with Data Center at $89.02 billion and Q3 guidance of $108.0 billion. Supply obligations swelled to $279 billion.

The three CEOs are collectively committing hundreds of billions to AI infrastructure, and the power, cooling, and networking suppliers riding that spend are the subject of a free report we put together here: 7 Stocks Powering the AI Boom (That Aren’t Chipmakers). Any framework that slows model deployment lands directly on those bets. Keep an eye on how White House advisor David Sacks, who favors lighter, voluntary approaches, shapes what comes next.

Contact [email protected] for any questions or corrections.

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