Credit Anxiety: When Nobody Knows What AI Really Costs

The software industry is undergoing a fundamental repricing as companies shift from traditional seat-based subscription models to opaque, credit-based AI consumption pricing. This transition creates significant friction, as users struggle to predict costs for unpredictable AI agents, leading to a "messy middle" where customers feel nickel-and-dimed. Meanwhile, project management platforms like Notion and Atlassian are racing to launch agent platforms, effectively flattening their competitive differentiation as agents prioritize utility over traditional UI/UX. Ultimately, intellectual labor is becoming a commodity akin to electricity, forcing companies to move upstream in the workflow to capture context. As AI agents increasingly automate routine tasks, the value of legacy software stickiness—historically based on data lock-in and human retraining—is rapidly eroding, necessitating a new approach to organizational knowledge and process design.