Organizations that win with AI pick the best model for each task instead of locking into one provider. Until OpenAI's latest release, Claude dominated Excel work, but now OpenAI's model is better there. Switching between providers costs less than paying for one mediocre tool across everything.
I think there's two ways that we are really focused on becoming different. One is I just think about raw horsepower, super important. What I've seen recently is up until the last OpenAI model came out, Claude was really far ahead, the best model for everything relating to Excel. I've been testing the last OpenAI model and all of a sudden it's significantly better than Claude. And so one of the great advantages that the independent providers have is you can switch back and forth between whatever model is the best model. And that putting the right tool for the right job, I think, is something that we're definitely focused on so that we can provide the most amount of value for the least amount of money, which is, I think, quickly becoming the biggest issue with AI. The reality is anybody could win those modeling tests if they just turn up all the knobs and spend a ton of tokens to be able to deliver the answer.
AI Is Accelerating Faster Than Humans Can Keep Up: What Should Finance Pros Do
