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凤凰科技 2026-03-19

Tech leaders push tokens into the conversation — as pay and as possible universal income

Two of the most influential figures in the AI boom are publicly reframing how value created by models might flow to people. It has been reported that Jensen Huang (黄仁勋), CEO of NVIDIA (英伟达), suggested including tokens as part of engineers’ compensation, while Sam Altman (奥尔特曼), CEO of OpenAI, has reportedly predicted tokens could evolve into a form of universal income. Short and provocative ideas. Big implications.

Huang: quiet the doomsayers, share the upside

At NVIDIA’s GTC keynote in California, Huang spent hours introducing the Vera Rubin AI platform and, it has been reported, warned against what he called “doomsayers” in Washington who amplify fear about AI. Reportedly, he also floated using tokens as a way to reward engineers building the models that run on the chips his company sells. That suggestion is notable because NVIDIA sits at the center of global AI supply chains and U.S. export policy — the same hardware that powers many models is subject to trade controls and geopolitical scrutiny.

Altman: a social-safety-net prediction

Sam Altman has reportedly gone further in public remarks elsewhere, saying tokens could ultimately function as a universal income. Is he talking about crypto tokens, platform credits, or some new tokenomics tied to AI outputs? The reports don’t fully specify. What is clear is that token-based compensation and redistribution would force regulators, employers and platforms to grapple with taxation, sanctions compliance and the social consequences of shifting real wages into digital units.

Why does this matter? Token pay would change talent incentives, corporate governance and cross-border flows of value — and it intersects with trade policy at a fraught moment for chipmakers and AI firms. Can tokens scale into everyday wages? Will governments accept them as income? For now these are proposals and predictions — it has been reported that the ideas are gaining traction among the people who are building the stacks that could make them real.

ResearchSpace
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