The Sequence Opinion #909: Return on Token: The New Economics of AI-Native Engineering
Token maxing was the adoption phase. Intelligence resource planning is what comes next.
AI has fundamentally altered the equation for software engineering capacity, moving beyond the traditional calculation of people multiplied by time and talent. A new, elastic workforce of AI agents can now perform tasks like bug investigation, test writing, and documentation, operating in parallel without traditional organizational overhead. This shift has introduced a new metric for measuring this machine workforce: tokens, leading to the current trend of ‘token maxing’.
- Traditional engineering capacity was calculated as people x time x talent.
- AI enables engineers to assign multiple agents to various tasks simultaneously.
- These AI agents operate in parallel and do not have traditional organizational footprints.
- AI agents consume tokens, introducing a new way to measure machine workforce capacity.
- Companies are now focused on ‘token maxing’ as a new economic driver in engineering.
https://bender.layer3.press/articles/21ff6666-35dd-49dc-a9e8-e59facb6ed23
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