Algorithms aren't just a computer scientist's playground anymore. MIT researcher Sendhil Mullainathan is showing how AI can completely reshape the way we approach economics and make critical decisions. The shift is real—computational thinking is breaking into fields that traditionally relied on traditional analysis. When you apply algorithmic frameworks to economic behavior, you start seeing patterns and optimization opportunities that weren't visible before. It's the kind of crossover that pushes entire disciplines forward. The question now isn't whether AI belongs in economics—it's how we leverage it to make better decisions at scale.