For the last few years, the AI narrative has been dominated by a ‘bigger is better’ philosophy. We’ve watched parameters balloon into hundreds of billions or even trillions, driven by the assumption that raw scale is the only path to intelligence. While scale delivers capability, it also creates a deployment bottleneck. A shift is now happening because massive models are too heavy for every task. The future of AI, particularly in Agentic Workflows, is not about choosing one size, it’s about a hybrid approach.”