"Every new generation of agentic AI seems to assume that the answer to complexity is to throw more context at the model, keep longer histories, spawn more calls, loop over more tools, and let the token meter run wild."
"From the customer's perspective, explosive token growth is not necessarily a sign of intelligence. In many cases, it is a sign of inefficiency."
"The current industry narrative often treats token consumption as if it were a proxy for progress. Bigger context windows, more reasoning traces, more agent loops, more memory, more retrieval, more interactions. It all sounds impressive."
The AI industry faces a growing dependency on tokens, particularly with the rise of agentic AI systems. These systems consume tokens not only for answering questions but also for planning, reflecting, and managing tasks. While increased token usage may appear as growth for infrastructure providers, it often signifies inefficiency from the customer's viewpoint. The narrative equating token consumption with progress overlooks the reality that more tokens do not equate to greater intelligence or effectiveness in AI systems.
Read at Fast Company
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