This week, a topic boomeranging around Silicon Valley jumped to the fore: token AI as compensation.
The idea is simple enough – instead of giving engineers just salary, equity and bonuses, companies would also give them a budget with AI tokens, the computing units that power tools like Claude, ChatGPT and Gemini. Spend them to run agents, automate tasks, run code. The pitch is that access to more computers makes engineers more productive, and that more productive engineers are worth more. It’s an investment in the person holding them, is the idea.
Jensen Huang, Nvidia’s leather-jacketed CEO, seemed to capture everyone’s imagination when he floated the idea at the company’s annual GTC event earlier this week that engineers should get back around half their base salary — in chips. His top people, by his math, might burn $250,000 a year in AI computing. He called it a recruiting tool and predicted it would become standard throughout Silicon Valley.
It is not entirely clear where the idea was first conceived. Tomasz Tunguz, a prominent Bay Area VC who runs Theory Ventures and focuses on AI, data and SaaS startups—and whose all-data writing has garnered a following over the years—was talking about this in mid-February, writing that tech startups were already adding inference costs as “fourth component to engineer’s compensation”. Using data from compensation tracking website Levels.fyi, he put the top quartile software engineer salary at $375,000. Add $100,000 in chips and you’re $475,000 fully loaded – which means it’s now about a dollar in five.
It’s no accident. Agentic AI has taken off, and the release of OpenClaw in late January has greatly accelerated the conversation. OpenClaw is an open-source AI assistant designed to run continuously — shuffling tasks, spawning sub-agents and working on a to-do list while the user sleeps. It’s part of a broader shift toward systems that don’t just respond to prompts, but take sequences of actions autonomously over time.
The practical consequence is that token consumption has exploded. Where someone writing an essay can use 10,000 tokens in an afternoon, an engineer running a swarm of agents can churn out millions in a day — automatically, in the background, without typing a word.
By this weekend, the New York Times had compiled one smart look on the so-called tokenmaxxing trend, finding that engineers at companies like Meta and OpenAI compete on internal leaderboards that track token consumption. Generous token budgets are quietly becoming a standard job perk, the paper reports, just as dental insurance or free lunch once were. An Ericsson engineer in Stockholm told The Times that he probably spends more on Claude than he earns in salary, although his employer picks up the tab.
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Perhaps tokens will truly become the fourth pillar of mechanical compensation. But engineers may want to hold the line before taking it as a simple win. More tokens may mean more power in the short term, but given how fast things are moving, it doesn’t necessarily mean more job security. For one thing, a large token allocation comes with high expectations. If a company is effectively funding the value of a second engineer on your behalf, the implicit pressure is to produce at twice the rate (or more).
And there’s a murkier problem underneath: at the point where a company’s token spending per employee approaches or exceeds that employee’s salary, the economic logic of headcount starts to look different to its financial team. If computing does the job, the question of how many people need to tune it becomes harder to avoid.
Jamaal Glenn, East Coast-based Stanford MBA and ex-CFO of Financial Services, ex-VC points out that what might seem like a perk can be a clever way for companies to inflate the apparent value of a compensation package without increasing cash or equity—the things that actually compound for an employee over time. Your token budget is not covered. He doesn’t appreciate. It doesn’t show up in the next offer negotiation the way a base salary or equity grant does. If companies successfully normalize tokens as pay, it may be easier to keep cash computing stable while pointing to growing computing compensation as proof of investment in their people.
This is a good deal for the company. Whether it’s a good deal for the engineer depends on questions that most engineers don’t yet have enough information to answer.
