AI's energy problem has a software fix. Most teams aren't using it.

Data centers will drive 40% of electricity demand growth through the end of the decade, according to Goldman Sachs. Most conversations about fixing that focus on chips, cooling, and renewable power contracts. There's a faster, cheaper intervention most teams haven't touched: how they process data. Shifting AI workloads from batch processing to real-time streaming can meaningfully cut energy consumption — with no new hardware required. "Systems no longer need to be sized for the worst-case bur...