AI coding token costs are increasing dramatically, prompting major companies to adjust their pricing strategies and internal budgets. According to MIT Technology Review, Uber exhausted its entire 2026 AI budget by April after expanding use of Claude Code, highlighting the rapid rise in token consumption—now estimated to be 10 to 50 times higher than before.
GitHub Copilot, another key player in AI-assisted coding, has shifted from a flat-rate pricing model to metered credits to better manage these soaring costs. Industry analyst Gartner predicts that by 2028, the expenses related to AI coding tokens will surpass the average salaries of software developers, underscoring the growing financial impact on tech budgets.
For Japanese markets, where AI adoption in software development is accelerating, these cost trends signal a need for careful budget planning and potential reevaluation of AI tool usage to maintain profitability amid rising operational expenses.