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ServiceNow’s Customer Chief Warns ‘Tokenmaxxing’ Is an A.I. Hype Cycle

“It's almost like measuring a restaurant based on how many ingredients they buy. You don’t measure a restaurant that way," said Chris Bedi, ServiceNow’s chief customer officer.

Tech workers are burning through massive amounts of A.I. compute in a race to code faster and automate more work. In Silicon Valley, the practice is known as “tokenmaxxing,” where employees push their use of ChatGPT and other large language models to the limit to maximize productivity.

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The trend has accelerated alongside the rise of A.I. coding tools and agents that can handle increasingly complex tasks. Unlike casually asking ChatGPT or Claude for writing help, generating code and running agentic workflows consumes far more tokens, or the units of data A.I. models process when users enter prompts or generate responses. Inside startups and tech firms, token usage is increasingly becoming a proxy for how heavily employees rely on A.I. in their daily work, with some engineers even leaving coding agents running overnight to speed up product development.

But not........

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