Jensen Huang floats paying Nvidia engineers half their annual salary in AI tokens
Increasingly in Silicon Valley engineers are asking how many AI Tokens they'll be getting on top of their annual pay, and it's increasingly a hiring tactic for large firms.
Key takeaways
- AI companies use tokens as an economic unit to measure how much computing work the AI does.
- The longer your text is, the more tokens it takes to process, so pricing is often based on cost per thousand or million tokens.
- Huang became one of the first high-profile CEO to publicly address the issue of a company token budget.
Cite or link to this article
Griffin, M. (2026) 'Jensen Huang floats paying Nvidia engineers half their annual salary in AI tokens', 311 Institute, 8 March. Available at: https://www.311institute.com/jensen-huang-floats-paying-nvidia-engineers-half-their-annual-salary-in-ai-tokens/ (Accessed: 1 October 2026).
Speaking at the GPU Technology Conference on Monday, Jensen Huang said in his two-hour-long keynote speech that he could see a future where every single engineer will need an annual token budget, and that he is willing to provide it.
"They're going to make a few hundred thousand dollars a year, their base pay," said Huang of engineers. "I'm going to give them probably half of that on top of it as tokens so that they could be amplified 10X. Of course, we would."
"It is now one of the recruiting tools in Silicon Valley: How many tokens comes along with my job?" Huang added. "And the reason for that is very clear, because every engineer that has access to tokens will be more productive."
Tokens refer to a tiny piece of text that the AI reads or writes, usually about the size of a part of a word. AI companies use tokens as an economic unit to measure how much computing work the AI does. The longer your text is, the more tokens it takes to process, so pricing is often based on cost per thousand or million tokens.
Huang became one of the first high-profile CEO to publicly address the issue of a company token budget. His comments were made during a keynote primarily catering to developers, where he said that purchase orders between Blackwell and Vera Rubin would reach $1 trillion through 2027 due to their ability to generate more tokens.
As I’ve discussed previously organisations everywhere are coming up with new ways to compete for talent on top of the traditional salary, bonus, and equity by turning to AI inference power, and investors are now taking note of tokens as a "fourth component" in recruitment with some saying they believe that a company should clearly list its token budget on hiring notices.
Meanwhile Thibault Sottiaux, engineering lead at OpenAI's Codex, which is an AI coding service, recently wrote on X that AI compute is becoming scarcer and more valuable.
"I am increasingly asked during candidate interviews how much dedicated inference compute they will have to build with Codex," wrote Sottiaux. So this seems to be the start of a new tech bro trend …
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Why does this matter?
Increasingly in Silicon Valley engineers are asking how many AI Tokens they'll be getting on top of their annual pay, and it's increasingly a hiring tactic for large firms.
About the author
Matthew Griffin Founder, 311 Institute
Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."
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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.
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Source: first published by the 311 Institute on 8 March 2026. Cite as: Griffin, M. (2026). Jensen Huang floats paying Nvidia engineers half their annual salary in AI tokens. 311 Institute. https://www.311institute.com/jensen-huang-floats-paying-nvidia-engineers-half-their-annual-salary-in-ai-tokens/
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