Agentic AI is breaking the token meter, and enterprises need a plan for what comes next
SiliconANGLE 3 weeks ago 9 ● 15 sources
Agentic AI can consume 10 to 100 times more tokens per task than a single inference call, according to a Futurum report on moving away from per-token pricing for production use. The report forecasts agent and reasoning inference rising 219% this year, while total inference spending grows from $120 billion in 2025 to $885 billion by 2030. Enterprises are urged to plan a cost “off ramp” by budgeting for cost per task, using reserved capacity when utilization is predictable (around 60%+), and testing open-weight models instead of treating per-token pricing as the default.