Your AI Cost Model Stops at the Token Price. The Bill Doesn't.
Akamai Technologies, Thursday, June 25th, 2026
Akamai argues nearly 80% of production AI spend sits in inference, beyond visible token pricing.
In this Akamai blog post, Ari Weil challenges the common assumption that AI costs can be modeled on token price alone. He explains that almost 80% of production AI spend actually sits in inference, where hidden infrastructure, latency, and scaling costs accumulate well beyond the per-token rate.
The piece walks through why organizations underestimate their real AI bill and outlines how to optimize inference setups. It frames inference economics as a strategic infrastructure problem rather than a simple unit-price calculation.