AI Multiplies What You Already Have

A junior engineer on my team pulled me aside recently. Not to ask for help. To share a concern. He told me he wasn't always sure he understood everything the AI was outputting for him. He'd been reading it, checking it, shipping it. But he couldn't reliably tell if it was right. He was learning, he said, by reading what the AI wrote. I sat with that for a minute. He's more self-aware than most. What he described is the default mode for junior engineers right now across teams everywhere, not just mine. They get access to AI tools. The output looks like code. It compiles. The basic tests pass. So they call that learning. It's not. Reading AI output is like copying the theorem off the board without working the proof. The notation is right. The understanding isn't there. And the gap between those two things is invisible until production breaks. The Multiplier Goes to Those Who Need It Least A study tracking AI credit usage across engineering teams found that seniors were using the tools fo