AI in business is a double-edged sword. Used well, it compresses work that used to take days into minutes. Used badly, it produces confident nonsense at scale, and someone still has to clean it up.
What separates the two is almost never the model. It is context.
A general model knows a great deal about the world and almost nothing about your business. Point it at your own data, your own processes and your own customers, and it stops guessing and starts helping. That is why grounding matters so much. Context is king.
But context on its own is not enough. A grounded tool in untrained hands is still a liability. People need to know what these systems are good at, where they quietly fail, and how to check an answer before they act on it. That is the part most businesses skip, and it is the part that decides whether AI lands as a capability or a cleanup job.
So yes, context is king. But education is the king-maker. Invest in both, in that order, and AI stops being a gamble and starts being an advantage.
