According to Futurum Research, agentic AI systems can increase token consumption per task by up to 100 times compared to traditional AI models, potentially reshaping pricing models in the industry. The findings suggest this significant increase in token usage may accelerate the transition away from per-token pricing structures toward alternative billing approaches. The research highlights how the autonomous nature of agentic AI systems drives higher computational demands per completed task.