Tokenmaxxing is dead, long live tokenmaxxing
Summary
A speculative analysis of tokenmaxxing in AI tool adoption, arguing that executives deliberately promoted token spending to drive AI usage. The piece introduces compounding correctness, distinguishes two forms of tokenmaxxing (for developers and for pipelines), and discusses loops and agent-based workflows, forecasting a future where generalist platforms and AI loops dominate. It also situates these ideas in the wider AI industry context with references to GPT-5.6, Mythos, and the software factory concept.