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Huang’s pitch was not a casual aside but a strategic opening of a new capital front. He explicitly positioned wealthy families as a critical source of long-term capital for AI infrastructure buildout, signaling that Nvidia is seeking multiyear financial backing well beyond traditional institutional tech investors . The audience was primed for exactly this message: a JPMorgan survey had found that family offices are increasingly pivoting toward AI as a top allocation, making the room a natural receptive audience for Huang’s capital-raising argument .

The family office backdrop

Family offices have risen rapidly in number and influence. As long-term allocators with fewer quarterly pressures than public-market funds, they are becoming an important source of patient capital for large-scale infrastructure bets. Nvidia’s aggressive courtship during Computex reflects a broader realization across the tech industry that these pools of private wealth can help fund the next wave of AI construction without the short-term volatility that sometimes follows public-equity investors.

Huang’s direct language—“wildly profitable,” “completely reshaped,” “crazy not to”—was calibrated to move wealthy families who might still be treating AI as a speculative bet rather than as a foundational investment class .

Beyond the closed doors: Vera Rubin, Taiwan, and jobs

Huang’s private pitch was only one piece of a high-impact week in Taiwan. On stage at the GTC Taipei / Computex 2026 keynote, he confirmed that the next-generation Vera Rubin platform—an enormous multi-rack, multi-chip AI infrastructure system—had entered full-scale production . He called it “the most ambitious endeavor in the history of our company” and said Nvidia has “orders in hand” . The buildout relies heavily on Taiwan’s semiconductor ecosystem, especially TSMC, and involves more than a million rack components assembled across 25 factory sites on the island .

That hardware push is matched by a staggering financial commitment. At the groundbreaking ceremony for Nvidia’s new Taipei headquarters in the Shilin-Beitou Technology Park, Huang announced that Nvidia’s annual investment in Taiwan would rise to roughly $150 billion, up from about $10–15 billion four to five years ago . That figure—the highest Taiwan-spend number Huang has ever disclosed—makes Nvidia’s annual commitment to the island larger than the GDP of most EU member states . Huang called Taiwan “the epicenter of the AI revolution” and said the island’s ecosystem would remain a global technology hub for decades .

The headquarters project will break ground in 2026, aim to become operational by 2030, and is expected to employ about 4,000 people .

Huang also used the platform to push back hard on the narrative that AI is destroying jobs. In both his keynote and a separate interview with Singapore broadcaster CNA, he called claims linking AI to layoffs “complete nonsense” and “too lazy” . He argued that the real effect of AI has been to increase the number of software engineers, not reduce it, because companies want to hire more developers when each one can generate vastly more economic output . His remarks arrived as data showed over 107,000 tech workers have been laid off in 2026, a figure Huang contended was not caused by AI itself . He pressed the timeline explicitly: “How is it possible that AI became productive and useful only six months ago, and they were somehow laying people off two years ago because of AI?” .

Why the family-office pitch matters for the AI buildout

Huang’s private-event argument completes a strategic picture. Publicly, Nvidia is ramping hardware faster than ever—Vera Rubin, $150 billion in Taiwan, a new headquarters campus, agentic and physical AI as the declared next phase . Privately, the company is cultivating new deep-pocketed backers who can supply the patient capital that industrial-scale AI infrastructure demands. The JPMorgan survey’s finding that family offices are moving toward AI suggests the match is already forming .

Taken together, Huang’s Computex 2026 visit was a signal that Nvidia views the next leg of AI growth as requiring both a technological platform and an expanded base of long-term investors. In Taipei, he made his case to both audiences at once.