AI coding tools can generate code across a wide range of syntaxes, paradigms, and environments. They are beginning to transform how we write, teach, and even conceive of programming. For decades, functional programming has pushed toward higher levels of abstraction, composability, and reasoning. Today, AI is accelerating that trajectory by shifting attention from syntax to intent. What does this mean for the evolution of programming languages and computer science education? Do functional programming ideas provide a foundation for this shift? And how might our conception of software development change in an era where machines help shoulder the mechanics of coding? This talk may raise more questions than it answers, but it aims to spark a discussion about how we, as practitioners and educators, can help shape this transition for future generations of computer scientists.