Claude Code’s creator offers a better way to measure AI success than token burn
Boris Cherny, creator of Claude Code, suggests that companies should measure AI success by human hours saved rather than just token consumption. He argues that focusing on productivity and background maintenance provides a better return on investment for enterprise AI adoption.
Why it matters
As companies move past the initial hype of AI, they are shifting focus toward tangible financial metrics and operational efficiency to justify high AI infrastructure costs.
Boris Cherny, the creator of Claude Code, gave a handy metric for assessing AI success. Bloomberg/Getty Images Boris Cherny says companies should track human hours saved, not just tokens spent. The Claude Code creator's comments come as companies reassess skyrocketing AI bills. Getting a good return on investment from AI is one of the hottest topics in business. Claude Code's creator addressed one of the biggest enterprise questions of the day: how companies can track the returns on their AI spend. Boris Cherny, the maker of Anthropic's biggest coding tool, outlined a four-step framework for enterprise AI adoption in a series of X posts on Thursday. In the third step, Cherny talked about measuring returns from AI once employees have adopted it into their workflows. "Once your teams are bought in, how do you track it?
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