There’s a comforting narrative making the rounds in boardrooms and LinkedIn posts: “AI will democratize excellence. Everyone will perform like the best.”
It’s a nice story. It’s also dangerously wrong.
There’s a comforting narrative making the rounds in boardrooms and LinkedIn posts: “AI will democratize excellence. Everyone will perform like the best.”
It’s a nice story. It’s also dangerously wrong.
Here’s what most leaders get wrong about AI transformation: they think it’s a technology problem. It’s not. It’s a human problem that technology can solve, but only if you build around people, not despite them.
Leadership is just another code word for innovation. Every business I’ve ever dealt with that sought help with innovation had leadership challenges. I’ve always said that if you want innovation, you have to eliminate what stands in its way. And what stands in its way? Old mindsets, outdated ideas, hubris, unquestioned processes and practices.
I was talking with a collaborator last week who kept framing AI as something we’d “layer into” existing processes. Make the workflow faster. Reduce some costs. Optimize what we already have.
A few times a month, I listen to Lenny’s podcast. The interviews are great, but the one I heard recently is a must listen: His interview with Jag Duggal, the Chief Product Officer of Nubank.
I was recently talking with a few family members, and they asked me about what I’m working on and started going. My aunt was listening, and when I finished, she said, “Don’t give ideas away freely!”