Ayush

Data centers also consume huge amounts of water for cooling.

Straining resources is in an already drought-prone region.

Companies are shifting to renewable powered servers, experimenting with liquid cooling and optimizing model training to cut waste.

We also have to talk about inequality.

Most green AI projects start in wealthy nations, but climate change hits developing countries hardest.

Without equity, AI could widen the gap, where rich countries clean up their act while poorer ones face the worst damage.

AI isn't just about sensors and predictions, it's about its influencing policy too.

But biased or incomplete data can mean flawed predictions, which could lead to ineffective or even harmful policies.

Let's imagine two futures.

In one, AI runs cities powered by renewables entirely, self-adjusting buildings, smart transits, and zero waste.

The difference just comes down to our choices, how we will design, regulate, and demand sustainable AI.

It's not like a silver bullet.

It's a tool.

And like any tool, it depends on how we wield it.

Next time on AI Squared, artificial intelligence and law and justice.

Can machines be fair judges?

Welcome back to AI Squared, where two minds explore one intelligent future.

I'm Ayush.

AI is being used to build smart cities, scan faces in public, monitor traffic patterns, and even help write laws.

But it also raises serious concerns about privacy, bias, and surveillance.