The real driver behind sustainable AI isn't model scale or benchmark dominance—it's the continuous data pipeline feeding the system post-deployment. Once a model goes live, what matters is that steady stream of fresh, relevant data keeping it sharp and useful. Without it, even the most impressive architecture becomes stale. That's the unglamorous truth nobody talks about.