HPE proposes measuring AI coding investment by merged PR cost
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On November 2, 2026, MIT Technology Review reported HPE's argument about the economics of hybrid AI platforms: measuring AI coding investment should no longer track token consumption, but instead calculate the cost of actually delivered software (such as merged PRs). Background data cited in the report includes: AI coding agents can consume 10 to 50 times as many tokens as ordinary conversations; Uber reportedly exhausted its 2026 AI budget before April; and Gartner predicts that by 2028, the token costs of AI coding will exceed developers' average salaries. This is currently the only report on the matter, with no further developments disclosed.
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- MIT Technology Review · AIStop counting tokens, start counting what ships
AI coding agents can consume 10 to 50 times the tokens of ordinary conversations; Uber reportedly used up its 2026 AI budget before April, and Gartner predicts that by 2028 AI coding token costs will exceed the average developer salary.
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