Why Token Consumption is Changing the Workforce Debate

Many companies are currently making critical workforce and talent decisions based on the flawed assumption that AI is always the cheaper alternative to human labor. However, as advanced AI agents take on complex, multi-day projects through commands like /goal—spawning sub-agents to build, test, and secure entire applications—the compounding token costs can easily reach tens of thousands of dollars for a single project. When applied incorrectly, these sophisticated AI processes are proving to be less efficient and far more expensive than human professionals.