**Nathaniel Whittemore** (0:01)
Today on The AI Daily Brief, four AI employees that you should set up right now.
The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.
All right, friends, happy Memorial Day for US listeners, and happy Operators Bonus episode for everyone else. I am once again joined on this episode by Nufar Gaspar. You've probably seen her on the show before. She's back currently with a new AI executive catch-up program. That week is a four-week sprint to get up to speed and to get current with AI. And today she's walking through some specific recommendations about where she thinks leaders specifically should start. All right, Nufar, welcome back to another AI Operators Bonus episode of The AI Daily Brief. How are you doing?
**Nufar Gaspar** (0:56)
I'm good. How are you?
**Nathaniel Whittemore** (0:57)
Good. You know, I think we don't set these up as meant to be in some sort of sequence or continuous with one another, but they do end up having the effect of sort of mirroring the pattern that we're going through as we learn more about what the market needs relative to education and upskilling. This episode specifically, I think, comes out of both an experience that you and I have had both separately and together, an observation, as well as sort of some things that have fallen from it. We've been running these agent operating system builder programs called Enterprise Claw, moving maybe to a name, Agent Boss, and as everyone across the enterprise has started to recognize the need to move into this agentic way of working, getting people who are ready for it into agentic system building, there are a lot of people who are just racing to catch up and are just a few steps behind that, which led to the creation of the executive catch up program that we're now offering, and also just this framework that you're going to share with us today. I'd love to hear a little bit more about the context for this and your experience that led you to it, and then I'm going to turn it over and let you teach us some interesting ways of looking at the world.
**Nufar Gaspar** (2:03)
Right.
I fully agree that there is a gap in the market, like the most frontier firms and individuals, they talk about agentic fleet and agent orchestration, and are worried about token maxing and many different things that get some other peoples to feel left behind, even more so than before. We often call that the capability overhang. I believe that there are so many things that every executive needs to do even if they are quite advanced, but let alone if they've been feeling that they need more time to catch up. Today, I'll try to frame it in a way that is as too agnostic as possible and just give executive the core decisions and things that they need to make in order to close some of the gap and be ready for orchestration of agents and so on.
**Nathaniel Whittemore** (2:49)
Awesome. All right. Well, I can't wait to see what you got for us. Sure.
**Nufar Gaspar** (2:53)
Good.
All right. Today, what I was thinking is to share with you what I'm learning based on training executives across 30 different countries. I see very frequently three patterns that come up again and again, and I think that mostly there is at least one of them. So one, I'm calling it the podcast CTO, someone that is deeply informed, that knows every release, every benchmark. But in like many cases, they haven't built a system for their own work at all or not yet. The second one, I'm calling them the weekend Tinkerer. They are building stuff. They are impressive for their own private time and their own thing that they're building. But they don't really know yet how to bring it to day-to-day because of various considerations. Then we have the Manifesto Writer.
Those are the one that has the clear vision that already funded the Transformation Committee. But personally, they have not yet feel that AI can do the work at their level.
While all three of them are making progress, all three are leaving enormous value on the table unless they are using the tools to the full advantage. Because I think the tools have crossed a threshold in the last few months that makes partial engagement kind of a real missed opportunity. And to be even more bold than that, I think that the leaders' quality of AI usage is the single biggest predictor of how well their teams adopt AI.
And when you see that the CEO is the best user, the organization looks like the most forward AI company out there that I get to see.
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