A few months ago, we ran an internal test comparing two AI models.
Both gave the same correct answers.
But one used 3x the compute.
That’s when we realized that, in AI, accuracy is no longer the only metric that matters.
Every answer has a hidden cost:
→ The cost of computing.
→ The time it takes to respond.
→ The carbon it leaves behind.
So we started tracking a new metric: Cost per Correct Answer (CpCA).
It sounds simple, but it changes how teams think.
→ You stop chasing marginal accuracy.
→ You start designing smarter, lighter, greener systems.
→ And suddenly, efficiency becomes innovation.
In the coming years, AI leadership won’t just be about model performance.
It’ll be about responsible performance, the balance between precision, speed, and sustainability.
Because the smartest AI isn’t the one that answers more.
It’s the one that answers better, at the lowest cost to the planet.
