AI Engineers Battle Rising Costs, Seek Efficiency

Engineers are now judged by their AI appetite. Teams track token counts, and some have leaderboards. It’s like measuring productivity by lines of code again, but this time the meter is running in real dollars. The push for volume is burning cash and slowing everything down.

This is tokenmaxxing. The flawed logic says a bigger prompt equals a better answer. Instead, scaling up just brings more latency, complexity, and shocking API bills.

A counter-movement is forming. Call it tokenminning. The goal is to systematically cut token use, often boosting performance in the process.

It’s a move away from brute force.

What follows are practical ways to start. These strategies don’t need a major overhaul. They’re lightweight.

They save money and make systems faster. The point isn’t to use AI less. It’s to use it correctly.