Tag: life

Most conversations about AI and the future of work focus on skills. What should we learn? Which jobs will change? Which tasks will AI automate? Those questions matter, but I think there's a deeper challenge hiding underneath them. What happens when the thing you've spent years becoming is no longer the thing the world needs most from you? In Why Reinvention Is the Most Important Skill in an AI Economy, I explore why AI disruption isn't only a reskilling problem. It's also an identity problem. Careers become part of who we are. We don't simply do product management, teaching, software development, writing, medicine, or design. We begin saying, I am a product manager. I am a teacher. I am a developer. When technology changes the value of that work, adaptation can feel like losing part of ourselves. But reinvention doesn't mean abandoning everything we've become. It means carrying our experience, values, judgment, and hard-earned knowledge forward while becoming willing to learn something new. That's the idea behind Direction, the fourth part of the AI Adoption Learning Frame. Direction asks: Who am I becoming because AI exists? We may not be able to predict exactly what our future careers will look like. Some of the jobs people will hold ten years from now may not even exist today. But we can become the kind of people capable of learning our way into them. The goal isn't to predict your future. It's to become capable of learning your way into it.