Here's an example use case we found for our business:
Our sales people request invoices from a potential customer. On those invoices are our competitor's services and price. We have matching services and our own prices. The goal is to find similar services where we charge less. In the past, our sales people would spend hours combing through those invoices. We wrote a prompt for GPT4, fed in our services and prices, and asked it to find services we could potentially replace as well as our profit margin. It took us a day to write this prompt. The results were outstanding and GPT4 gave accurate results. We even asked it to package it up in a PDF for us.
This will save our company hundreds of thousands each year and we can get back to the potential customer much faster than before - increasing the likelihood of a sale.
If we had to program this like normal software, it'd probably take months to get it right. Chances are, engineering would never even prioritize this feature for our sales people.
GPT6 with much higher context and much cheaper inference cost? Yes please. I think people can't imagine how it's going to change everything.