1-2-1: AI didn't level the field
Two leaders over the last few weeks used the same model for the same kind of task. One produced a working system. The other produced a polished version of what they were already doing.
Both of them thought they were "using AI". Only one was building with it.
1 Principle
The skill is no longer access to the tool. It's understanding what you're building with it.
Access used to mean "do you have the tool?". Now everyone has the tool. The new variable is comprehension. It's slower to compound, harder to fake, and the only thing that matters in twelve months.
2 Things Top of Mind
#1 The two leaders I keep comparing
I'll describe two leaders I've worked with this year. Both senior, both at companies around the same size, both using the same Claude subscription. Twelve months in, here's what each of them has. The first has a Personal OS: agents that run her briefings, draft her replies, surface what matters, prep her for meetings. She's compounded. The second has used Claude every day for the same period. He has a folder of impressive one-off outputs. No system. No compounding. Same tool. Different planet.
This week: Pick one workflow you've been using AI for. Write down what it looked like a year ago, and what it looks like now. If the only difference is speed, you're on the wrong side of the gap.
#2 Twelve months in, same work
Your team has been using AI tools for a year. They're more efficient now. Drafts come back faster. Meeting notes write themselves. Code reviews land in minutes. The throughput is up. Then someone asks what's actually different about the work. The roadmap looks the same. The decisions take just as long. The hard problems are still hard. Faster outputs have not produced different outcomes. The team learned to use the tool. They didn't learn to build with it.
This week: Find one thing your team does now that you couldn't do at all a year ago. Not "faster". Not "more polished". New. If you can't name one, the team has learned to use AI. They haven't learned to build with it yet.
1 Question
What's the one thing you can do with AI today that you couldn't do a year ago?
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