AI coding costs will surpass average developer’s salary by 2028 as token consumption surges: Gartner
Gartner predicts that by 2028, the costs associated with AI token consumption in coding will exceed the average developer's salary. The shift toward consumption-based pricing models is creating financial unpredictability for organizations scaling AI agents.
Why it matters
Businesses must develop better governance and cost-tracking frameworks to prevent AI-driven budget overruns in software engineering.
By 2028, AI coding costs will overtake the average developer’s salary due to rising large language model (LLM) token consumption and the shift to consumption-based licensing models, forecast Gartner, a Stanford-based business and technology insights company.
The article summarizes industry research and expert analysis without bias.
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