Eric Siu explains how AI copilots create a multiplier effect in organizations. Running parallel AI assistants for conversion rate optimization, SEO, design, and feature shipping reduces resource constraints and lets B players perform like A players by pushing workers toward greater autonomy.
How AI turns B players into A players. So this is the multiplier effect. So we can kind of go, go back and forth on this because we're seeing it happen in our organizations right now. In my mind, the biggest multiplier effect is when you're able to talk to it and you're able to run multiple things in parallel. So multiple tabs doing different things. So one, you can have a tab doing conversion rate optimization for you. The other tab, you can have it doing SEO for you. The other tab, you can have it helping doing design work. You can have it ship different features for you without waiting. And so the way it turns B players into A players is the B players used to need to wait. They still need to be told what to do. That's the definition. That's a B player. You need to be told what to do. An A player kind of just does it. But the B player, if you tell them what to do and say, hey, you're no longer resource constrained and you can use these copilots to help you, they can do a lot more than what they used to do before. And that, in effect, is more like an A player. It's still not quite— they're doing it autonomously yet. But if the agents push them to work autonomously, maybe they become enablers.
