In fact, it can work against ESG goals, waste energy, increase unnecessary operating costs, and give users almost no real value in return.
The problem is not AI.
The problem is how people use AI.
There is a big difference between using AI for hype and using AI properly.
Using AI for hype means throwing a powerful model at every small task, even when the task does not need that level of computing power. It looks impressive on the surface, but behind the scenes it can be inefficient, expensive, and wasteful.
Using AI properly means designing the right system for the right job.
I see AI agents more as builders than simple assistants.
As a builder, an AI agent should create the right “robots” for daily work. A small, low-power robot can handle simple tasks like sweeping the floor. A bigger, high-power robot should only be used when the job is heavy, like lifting bricks.
But if we force one powerful AI agent to do every single task, from the smallest to the biggest, then the energy usage stays high all the time.
That is not smart automation.
That is just expensive laziness with a fancy name.
The future of AI should not be about using the biggest model for everything.
It should be about building efficient systems where each task gets the right level of intelligence, the right level of computing power, and the right business value.
AI should reduce waste, not create more of it.
That is where real innovation begins.