A speaker argues that financial modeling is about the learning process and presenting insights to decision-makers, not just writing code. As AI advances, human judgment in front of leaders matters more than ever.
It's getting a little harder and harder. That AI is replacing the need for large numbers of programmers when people will have to adapt. I'm with you, though. I happen to believe that financial modeling is, and I'm prepared to go on the record saying this, and you both could agree with this, which is that financial modeling as a profession is a little different than some professions like computer programming, perhaps, or even data science, in the sense that financial modeling is a journey as much as a destination, maybe even more. I mean, some professions, it's just get me the right code that will get us this answer. And I don't care if it takes you four days or four minutes. We just want the right sequence of code. And so if you can speed that up, you're better off. And there's no reason not to. But modeling is just as much as the journey of getting smart, getting insightful, and learning. Because you, I believe, are still going to need to be the person in front of the board of directors, making your case, making your claim. And so there is still going to be a requirement to learn all the things you need to learn to look intelligent in front of the room.