Businesses are increasingly integrating Artificial Intelligence into their operations, treating it as an essential utility. However, despite the decreasing prices of AI tokens themselves, the overall cost of utilizing AI is surprisingly high. Companies are finding that maintaining consistent AI access and functionality—keeping the “tap running”—is far more expensive than anticipated, especially considering the current output or “water flow”. This cost inflation stems from factors beyond token prices, potentially including infrastructure, development, and ongoing maintenance. The situation suggests a disconnect between the perceived affordability of AI components and the practical expenses of real-world implementation. Businesses are now grappling with understanding the true economic implications of their growing reliance on AI technologies. This trend highlights the need for better cost analysis and management strategies as AI becomes further ingrained in everyday operations.