AI Tokens Emerge as New Perk, but Engineers Wary of Hidden Costs

Companies offer AI compute budgets as part of compensation, raising concerns about productivity expectations and long-term value for employees.

Mar. 22, 2026 at 6:20am by Ben Kaplan

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The idea of providing engineers with AI tokens, computational units that power tools like Claude, ChatGPT, and Gemini, as part of their compensation is gaining traction in Silicon Valley. Companies pitch it as a way to boost productivity, but experts warn it could lead to increased pressure on engineers and potentially reduce the value of traditional compensation like salary and equity.

Why it matters

The rise of 'agentic AI' that can autonomously complete tasks has led to a surge in token consumption, with engineers at some companies competing on internal leaderboards that track their token usage. While this may seem like a perk, it could also be a way for companies to inflate the perceived value of compensation packages without increasing cash or equity, which are the components that truly compound for employees over time.

The details

The idea of providing engineers with AI tokens as compensation was floated by Nvidia CEO Jensen Huang, who suggested engineers should receive roughly half their base salary again in tokens. This would allow them to run more AI-powered agents and automate more tasks. However, experts warn that a large token allotment comes with large expectations, as companies are effectively funding a second engineer's worth of compute on the employee's behalf. Additionally, as token spend per employee approaches or exceeds their salary, the financial logic of headcount starts to look different to CFOs, potentially leading to questions about how many humans are needed to coordinate the work.

  • In mid-February, venture capitalist Tomasz Tunguz wrote about tech startups adding inference costs as a 'fourth component to engineering compensation'.
  • In late January, the release of OpenClaw, an open-source AI assistant designed to run continuously, accelerated the conversation around agentic AI and the explosion of token consumption.

The players

Jensen Huang

The CEO of Nvidia, who floated the idea of engineers receiving roughly half their base salary again in AI tokens.

Tomasz Tunguz

A renowned venture capitalist in the Bay Area who runs Theory Ventures and focuses on AI, data, and SaaS startups, and who wrote about the trend of adding inference costs as a new component of engineering compensation.

Jamaal Glenn

An East Coast-based Stanford MBA and former VC turned financial services CFO, who points out that token budgets may be a way for companies to inflate the apparent value of compensation packages without increasing cash or equity.

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What they’re saying

“Maybe tokens really will become the fourth pillar of engineering compensation. But engineers might want to hold the line before embracing this as a straightforward win.”

— Connie Loizos

“If the compute is doing the work, the question of how many humans need to be coordinating it becomes harder to avoid.”

— Connie Loizos

What’s next

As the trend of offering AI tokens as part of compensation continues to gain momentum, engineers and industry experts will likely continue to debate the long-term implications and whether it truly benefits employees or is a way for companies to reduce traditional compensation costs.

The takeaway

While AI tokens may provide a short-term productivity boost for engineers, the long-term impact on compensation and job security remains unclear. Employees should carefully consider the hidden costs and potential trade-offs before embracing this new perk as a straightforward win.