In short
How to become an AI-driven leader who uses AI daily to elevate thinking, strategy, and execution—rather than delegating AI to IT. Includes guidance on avoiding “AI slop,” distinguishing timely tool hype from timeless leadership principles, and using AI to speed alignment.
Guest
Geoff Woods, author of The AI-Driven Leader (updated edition). He argues leaders must use AI themselves to cast vision and lead from practice. He describes executive sessions and a “thought partner” approach that interviews leaders via AI to merge inputs and co-facilitate alignment.
Guest backgrounds
Geoff is a leadership/strategy practitioner who has run AI adoption and alignment work with large organizations; he also gives an example from his role as chief growth officer and later being put in charge of AI at a 100,000-employee company.
Key claims
AI is a thought partner; competitive advantage comes from using AI to enhance valuable internal capabilities; “access” ≠ “adoption”; authorship creates ownership.
Notable examples
DaVita alignment sessions; Air Canada CEO alignment; BarkBox niching to breed-level storefronts (116,000 permutations); weekly AI-assisted KPI feedback for an executive assistant; “thought partner” replacing sticky-note offsites.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Role of AI in Leadership
0:45 to 2:12
AI is not just for IT; it's a leadership tool for strategic vision.
“And we are talking about what has changed over the last 18 months and why I still believe AI is here to enhance you, not replace you.”
Understanding AI-Generated Content
2:12 to 3:18
Discussing the quality of AI-generated documents and the perception of effort.
“How do I know if what you send me is AI slop that you just kind of did one prompt and you just sent me whatever random long text that you got back?”
Judging AI Outputs
3:18 to 4:38
Exploring how to discern between quality and hastily produced AI content.
“The question that I find myself asking is, did they as thought leader review this and approve this?”
Managing AI in Teams
4:38 to 7:36
Challenges in management when team members use AI as a tool.
“If I said, I spent a lot of time on this, he would have read it immediately, right?”
Trends in AI Adoption
7:36 to 10:36
Insights on how AI adoption has evolved in organizations over 18 months.
“I do think I just want to make sure that we mentioned this also.”
Competitive Advantage with AI
10:36 to 14:00
AI as a standard in business and its implications for competitive advantage.
“If I build this GPT, this project, this agent, is it going to help me build a better business or a better life?”
AI as a Competitive Necessity
14:00 to 14:42
Learn how AI will become essential for business parity and not a competitive advantage.
“Well, imagine if a company today said, we have a competitive advantage because we use Microsoft Word or because we use the Internet.”
Challenges in Adopting AI
14:42 to 15:39
Explore the reasons why some industries are slow to adopt AI technologies.
“So even when I look at companies that are slower to adopt right now, I do question how much of that matters.”
The Role of Leadership in AI Adoption
15:39 to 18:26
Understand the importance of leaders personally engaging with AI to drive transformation.
“And again, this is kind of apart from AI, but why is the default?”
Using AI to Elevate Leadership
18:26 to 20:33
Discover how to leverage AI tools to enhance strategic thinking and leadership skills.
“practice, not theory, because I'm seeing a huge gap dream.”
Show all 25 chapters
Niching Down with AI
20:33 to 22:31
Learn how AI can facilitate hyper-targeted marketing strategies for businesses.
“to solve problems, to communicate, to collaborate, to create.”
Innovating Strategy through AI
22:31 to 28:01
Explore how AI can reshape business strategies and enhance collaborative decision-making.
“Because if you have a golden doodle, then you probably just want to be served by somebody who just do golden doodles.”
Unlocking Collective Knowledge with AI
28:01 to 29:21
Learn how AI can facilitate strategic meetings and align leaders' insights in record time.
“What would it look like if you built it first?”
Building Trust Through AI
29:21 to 31:27
Discover how AI can foster ownership and trust among team members by surfacing hidden thoughts.
“How, if you think about the bias that we discussed in the beginning, Bjork wondering whether he could trust Henrik's memo.”
AI Adoption Across Organizations
31:27 to 33:10
Explore how organizations initiate AI integration from grassroots levels to top executives.
“meeting and talk one person at a time is completely inferior to if we suddenly engage AI as a thought partner.”
Transforming Consultancy with AI
33:10 to 35:04
Learn how AI can drastically improve the speed and effectiveness of consultancy projects.
“And how long do you think it'll take from...”
Leveraging Human Strengths Through AI
35:04 to 37:23
Understand how to focus on human skills and strengths to maximize value in the workplace.
“And now this is going to become their backbone for how they drive alignment across an organization of hundreds of thousands of people.”
Empowering Employees with AI
37:23 to 42:00
Discover the importance of agency and self-discovery in enhancing employee roles with AI.
“And then you look through the transcript and go like, you know what?”
Empowering Teams with AI
42:00 to 42:41
Learn how to empower your team to leverage AI for maximum impact.
“our organization and make me 100 times more valuable.”
Understanding AI's Human Element
42:41 to 43:47
Explore the importance of human agency in leveraging AI effectively.
“I mean, like, I was slow to get it, but I get it.”
Leveraging AI for Quality Work
43:47 to 44:37
Discover how AI can improve the quality of work and decision-making.
“And I just think that's a very elegant phrasing of, I think, a issue that a lot of people are dealing with, which is that they hear that AI is the future and they just can't really compute.”
Reinventing Daily Tasks with AI
44:37 to 47:08
Learn how to rethink everyday tasks through AI to enhance productivity.
“My question, very simply for, you know, if I'm in a room of leaders is, would your team say your work is 35 % better?”
Identifying Valuable Outputs
47:08 to 49:39
Discuss strategies to identify and focus on high-value outputs using AI.
“I mean, I'll give you another example for me, which is, which just, just riffing.”
Framing the Right Questions for AI
49:39 to 51:52
Understand how to ask the right questions to leverage AI effectively.
“There are really cool, like Henrik's LinkedIn post writer, like Jeremy's custom proposal generator.”
The Synergy of Expertise and AI
51:52 to 52:19
Realize the importance of combining expertise with AI capabilities.
“find like a good way of introducing people to the way of asking the thing about what is the problem for our business we're trying to solve, but in the context of what will become.”
Transcript
Automatic transcript. May contain errors.0:00I want to create such a profound, transformative experience that they deeply internalize that this is not IT's job. This is my job. I do not have to become an AI expert, but I do have to become an AI-driven leader. Meaning I personally use the technology every single day to elevate the impact that I make in the organization. And as a result, I'm qualified to now cast a vision for the future. I am qualified to define strategy for how I'm going to win, and I am qualified to lead the team from practice, not theory. I'm Jeff Woods. I'm the author of the number one bestseller, The AI Driven Leader.
0:39I was on the show 18 months ago when my book first came out, and I'm back again as my updated book is now being released. And we are talking about what has changed over the last 18 months and why I still believe AI is here to enhance you, not replace you. Can I start with a question? There's this architect called Pyakin Engels, who I used to serve in his board. He's a good friend of mine. And we were at this cool conference last week called Brilliant Minds. And I've been working on this manifesto because I think the world needs basically more positive versions of what could a future look like when AI kind of like rolled through.
1:15And so I show him this manifesto and he takes on his glasses and he looks at it and goes like, did you write this yourself? And I replied, of course not, because I don't write anything fully myself anymore. And then he looks at me and he goes, well, if you can't be bothered taking the time to write it, I can't be bothered to take the time to read it, right? Which then kind of obviously started, I mean, it wasn't like meant in a harsh way, right? It's just, you know, like I, you know, we're sitting having conversations and obviously I've spent a lot of time on this document, right? You know, I've spent endless amount of time.
1:46I've had like different modules that I brainstormed with Cloud on and I created an obsidian folder with all the background research. And then together when Fable was out, Fable helped me write some of it. So this was good writing. And so it started this, I think, very interesting conversation for me is when the length of copy is no longer the proof points of effort that you put into it. What is? How do I know if what you send me is AI slop that you just kind of did one prompt and you just sent me whatever random long text that you got back? or that you spend like six to eight hours actually really working through this document.
2:24And I don't have a good answer for it. So I'm posting it to you guys. Do you need one? Ah, you know what? I think I do because I also get AI slob and I find it to be annoying when somebody sends me something and I get halfway through and it clearly is just kind of like their first shot. And I also want to be respectful. Have I sent something to you, Jeff? I would want you to feel that I value your time. And if you for a second felt that I didn't, I would feel embarrassed by that. I have thought about this. And again, the role of the human is to be the thought leader. AI is your thought partner.
3:04As thought leader, you're in the driver's seat of the car. As thought partner, they're in the passenger seat. I write every word, but I use AI to write every word. And so for me, it's I can tell when somebody has just one-shotted it and sends it across. Josh, you're right. That does not leave a good impression. The question that I find myself asking is, did they as thought leader review this and approve this? Did they put their stamp of approval on this to say, this is my voice. This is the message I'm trying to deliver. Do I believe this is the appropriate length? Did they apply judgment and discernment to the message?
3:42When that happens, I love it. When that's void, that's when I judge them. Part of the challenge is this bias. I mean, yes, I agree. Of course, everything you said, yes. Bjork's problem is his bias. And I don't think Jeff has, no one, none of us have a chance to give a well-reasoned, you know, that implies that he's willing to engage. There's something interesting, Henrik there, which is he sees the document. It sounds like he didn't read it, right? He doesn't read it. And instead he asks you whether you wrote it. And then he decides whether he's going to read it, which is that's a pre-consumption hesitation, bias, et cetera.
4:27I wonder. I think it was because it was, it was a long document. What this wasn't like a few paragraphs. This is something. Oh, it was the length that he was reacting. I think it was the length of you. And I think he also, I think he's expressed after, I mean, like if A, I didn't answer his question. If I said, I spent a lot of time on this, he would have read it immediately, right? Like, and so this was not like a contentious conversation. This was just kind of like one that kind of became, I think, just interesting because of like the way it played out. I also have another friend when I call him, I said, am I calling a bad time?
4:58And he says, yes. And I go, should I call back later? And he replies, you don't have to. So there is the nice bender there. But I think what he was just reflecting on is that he now often get these long documents that somebody have one-shotted. And because that you kind of wasted your time when you're halfway through it and figure out it. I think he, we didn't talk about this, but I imagine what he's kind of looking for is some kind of qualifier that this is something that is now kind of not worth his time. That sounds so pretentious, but like something that he has to really spend real focus on.
5:37And I think actually that's a fair thing. Like if you send me something and it was like a one shot thing, I also feel like, hey, man, I just spent 20 minutes reading this. And like, clearly it was just the first thing that Claude spit out. I agree. the message I deliver with my team because I do still get some documents sent to me that I can tell are AI generated or feel off and I will just call that person and I'll say walk me through what your process was from the output to you refining it to putting your stamp of approval on it and I'm looking for the holes there and I'll even go to sections and say do you agree with this Do you stand by this wording?
6:13Do you stand by this thinking? And then they say, no. And I go, okay, this is a coaching moment. Never again. Send me anything unless you are saying, this is my stamp of approval. So this is me making the investment in you as your leader. This is now a standard because moving forward, you will be wasting my time. I won't tolerate that. We'll all end up being politicians. It'll be like, I send you something and I'll have to end with, My name is Henrik Wordlin, and I approve this piece of coffee. And I approve this message. But I think it's actually, it's an interesting point. There's the managing of the AI, which is the, call it, employee's responsibility.
6:50But then as leaders, there's the management of people who've now been given a new managerial job. You know, and you actually, you still have to take responsibility for your team's work. And in a way, what I hear you saying, Jeff, is I'm going to teach you how to be a good manager, team member, for lack of a better word, right? And I think that the bummer, if you're a CEO or you're a leader of an organization, is what you want is for these people to know how to be good managers. And what you're realizing, probably what a lot of people are realizing is these folks have never had new manager training like we used to do when all of a sudden Jeff was given a team.
7:25We invested in his ability to get exceptional work out of them. Now we hand Jeff co-pilot and are disappointed he's not a good manager. Right. Correct. It's a training gap. I do think I just want to make sure that we mentioned this also. Jeremy, I think, was asked a question a little bit like this at one point. And I think you said something to the extent of, I almost find it to be kind of like criminal liability if people have not used AI. Like in the same way that if you go to an operation, the doctor say, you know, I didn't use a microscope because I wanted to eye it with my own natural eye.
7:59You know, you would be very uncomfortable with that. The interesting thing there for you and B.R. Kenrick is to say, to stand by your statement, of course. The most interesting part of that conversation to me is your willingness to say, of course, because most people in that moment go, no, no, no, it's all me. It's all my handcrafted artisanal cognitive labor there. Trust me, right? And I like that you took a principle to stand. Then the conversation I think should be, why did I say, of course? Let's talk about that. why do I now think it's a it's an abdication of responsibility to do it without augmentation and that's like that to me is a really interesting place to take that conversation yeah and I mean we've spent a long time at this but like I then wrote a Lincoln post about it today and the commentary is kind of interesting because I also think that there are some people that use writing to formulate their own thought now I do that in voice more than I do that in text.
8:54It's better for me to talk it out than it is to write it down. And so having AI then to be able to take the conversations that I have, and then after having many of them constill that and put it into something that is thoughtful and short is something where I have, you know, get a lot of help from AI. But for other people, I think the way they get to that point is by sitting and actually putting the fingers on the keyboard. So maybe it's also just a little bit individual. Okay, Jeff, we have to know, switching from Henrik's fascinating Bjark moment, we have to know what's changed. Okay, we had you on the show.
9:29What is it, 18 months ago? I just thought that'd be a fun place to start with you, talking about your expertise, what you've learned in the rooms that you've been in. What's changed in the last, has it been 18 months? Is that approximately it, two years? I don't even know. Well, the book came out, Andrew and Leader came out September of 24. So we're... nearly two years. Maybe a little under 18. Yeah. Yeah. So here's what's interesting. If I look at the things that have changed, I kind of put them into two categories. There's what's changed that's been timely. Like, well, this model came out and now you can upload a PDF.
10:02Now it can generate a PowerPoint. And there's what's timeless. For me, I think most of the changes that were timely were distractions. Now, I had this theory when I was writing the AI-driven leader that most of the news, the tools would be distractions. Because for me, I don't believe the goal of any company is to adopt AI. I think they want to harness this technology to create a better business and better lives. So that's my bar. When a new model comes out, is this going to help me build a better business or a better lives or a new functionality? Is this going to help me build a better business or a better life?
10:37If I build this GPT, this project, this agent, is it going to help me build a better business or a better life? That's a very high bar. Most things don't qualify for that. So there are so many things that have shifted into technology. What has not changed is using that. I didn't realize how profoundly impactful it would be if you just started using AI to elevate how you think as a human. That hasn't changed, you're saying? That has not changed. And I think where the market is overall, I mean, if you go back 18 months, Every leader knew AI was the future, but they had not started. And they felt like they were falling behind.
11:20If I look at where the market is today, they know it's the future. They think they've started, but they're confusing access with real adoption. Yeah, that's a really cool characterization, Jeff. I totally resonate with that. 18 months ago, it was on the list of things I need to do. Maybe a different way of saying it that's kind of punchy is now it's on the list of things I've already done. But it's a false sense of confidence. Exactly. Exactly. Because anybody who's really deep in AI goes, I'm not done with the internet. Does anybody think of internet? Go, yeah. Oh yeah. Yeah. I'm done with that.
11:56You go, no, it's now an integral part of daily life. And I think the leaders who maybe 18 months ago thought, I need to do that. Maybe now you're saying now they're in danger. I'll say, oh yeah, I've done that. I rolled out co-pilot licenses, right or something like that right correct correct kiff how do you then tackle with the feeling that you're so ahead of this and i'm sure your own organization has the autonomous agents and the deals for things and then meanwhile we go into organizations i'm sure you do that and then you get the sense that they're just getting like co-pilot rolled out and it almost seems that we You're now getting fascinated by this next level game that you can play with AI where people are still playing the first version.
12:44Do you think that people that are advanced are kind of almost losing kind of like the majority of people that would like to go on this journey? Because we're already thinking about autonomous agents. So how do you compute that? Not necessarily. I mean, I remember I was studying adoption curves when I was writing the AI driven leader. And it's like, you know, you got three and a half percent of your innovators. Then you got your early adopters, early majority, late majority laggards. I knew that the adoption was going to follow that curve. And that's just proving to be true. I'll still, we do a lot of sessions for executive teams of companies.
13:20And more often than I would like to say, when I say, all right, open up chat or copilot or clot, there's a C-level executive in the room who hasn't logged in before. Who doesn't have it on their device, maybe. Yeah. Yeah. And it's their first time. And for me, I know my job, and this is just a timeless leadership principle. Your job as a leader is to meet people where they're at, not where you think they ought to be. So if where they're at is I need to help them log into ChatGPT, great, let's do it. I'm going to help them do it remarkably well. But now let's get them on the fast track to using it.
13:52So that is still where the market is. I also question, Henrik, how much of it is really going to matter over time. Say more? Well, imagine if a company today said, we have a competitive advantage because we use Microsoft Word or because we use the Internet. I think most of AI is going to become a source of competitive parity. They'll be competitively disadvantaged if they don't use Word. A company would never brag, we're an anti-Word shop. Exactly. Exactly. So there will come a day where just AI's table stakes. It's like electricity. It's like Internet. And at that point, it's competitive parity.
14:29Real competitive advantage doesn't come from AI. It comes from using AI to enhance your internal capabilities that are valuable, rare, or costly to imitate. Those are the raw ingredients of a competitive advantage. So even when I look at companies that are slower to adopt right now, I do question how much of that matters. Now, specific industries, it does. Because if you're in an industry like the accounting industry, I was with a firm, a big one. and they're all playing this game of chicken. Like they all know whoever gets rid of the billable hour first, everybody else is going to follow. And there's a real opportunity.
15:10There's a real opportunity to gain market share. And I'm on stage in front of their 450 partners. And I said, I'm going to be a velvet hammer. I feel like you guys are all on the Titanic. You can see the iceberg and you're celebrating the meal that you just had. That doesn't seem too velvet. there's no okay there's no they loved it by the way but it's like they know they have to do something yet they're still debating it's like dude you're saying you want to win but you're not thinking and acting like you want to win like you have a legit window in time to move right move so that's why henrik like the i think most companies depending on what do you think's going on there why i mean and again this speaks to kind of timeless whether it's leadership innovation, et cetera.
15:56Why the reluctance to move? Do you have any reflections on that? And again, this is kind of apart from AI, but why is the default? Let's stand on the sidelines and wait and see. Is it a question of where folks are in their kind of careers? I see three buckets. One is they don't know how to. So it's a genuine, they know they need to move, but nobody has shown them how to and made it simple enough that they can start. Two is you've got industry or personality types like accounting, legal, like they're risk averse by nature. The construction, they just tend, they tend to be laggards when it comes to technology adoption throughout time.
16:39And then there's strategy. I think Apple had a strategy. They've never won by being the first adopter. they've won by letting everybody else spend billions in r &d and then they just step in and do it better and then instead of spending billions now they're going to get paid billions to use somebody else's ai model i'm hesitant to give too many organizations the benefit of the doubt that oh y 'all are the apple here and by the way if you think you're the apple let's assume you're not Yeah. I think that's a safe. That's just a convenient excuse. Okay. So you get in these executive sessions, like you get an executive team saying, Jeff, I mean, you just mentioned that where I'm with executives and I love that phrase, meet people where they're at.
17:26So if it's log in, great. What are you hoping? I mean, if you don't have to deal with log in issues and you get a team of executives in a room for whatever, 90 minutes. Yeah. What are you hoping to accomplish in your ideal world? what would you do to help unleash possibility there? Galvanize them to become AI-driven leaders. For me, I want to create such a profound, transformative experience that they deeply internalize and commit to this idea that this is not IT's job, this is my job. I do not have to become an AI expert, but I do have to become an AI-driven leader, meaning I personally use the technology every single day to elevate the impact that I make in the organization.
18:14And as a result, I can now, I'm qualified to now cast a vision for the future. I am qualified to define strategy for how I'm going to win. And I am qualified to lead the team from practice, not theory, because I'm seeing a huge gap dream. And I know you see it too, which is every executive team now has said, we're going to become an AI driven organization, but they're talking the talk but not walking the walk. They then delegate it and say that's everybody else. That means tell other people to do something. Yeah, and you're saying, what it sounds like you're saying is get folks to stop telling others what to do and get them to start elevating their own game.
18:51Do it yourself. Do it yourself. That's hypocrisy, not leadership. I realize that I'm just the slow person in the room now, but like I finally just got what you've been talking about here and I think that is very profound. I mean like that All right, let me just mansplain back. What do you think I'm talking about, Henrik? Yeah, no, but I think when you talk about the AI-driven, leader AI-driven company, I have been like, oh, you know, like, but then you also say that it's not really about AI, but everybody on this podcast has gotten. So let me just mansplain it to everybody who listens. No, this is good.
19:22You're just saying, and I think this is very profound and very true, that this has nothing to do about making sure that your organizations use AI per se. It's about you using the tool that's available to you to figure out what is the next step function? What does your company want to be when it gets old or older? And a lot of people just haven't asked that question to the Zim for a long time because we've been going through the trauma of just having to deal with COVID and then this new thing kind of like landed. And the only way to really be having an Ironman suit on and move at the speed that you need as a professional business person today is to understand these tools profoundly so you could use them for yourself to build an organization of the future that is probably going to use AI, but that is not the point of the whole thing.
20:07I get it. I'll go home now. Thank you. And I realized this myself when I was an operator. Before AI, when I was a chief growth officer for a public company out of India. And when I saw AI, I started using it myself. And I realized very quickly I was using it for all the things that didn't matter. I was using it to write better emails. I didn't get to that level by the quality of the emails I wrote. I got to that level because of my ability to think strategically, to solve problems, to communicate, to collaborate, to create. And I found myself wondering how can I stop asking AI questions and start getting it to ask me questions instead to elevate my thinking and my leadership.
20:46And the chairman saw this. He puts me in charge of AI for a company. We have 100 ,000 employees. This is a big freaking company. He says, go figure out AI. Partner with Google. Learn a lot from them on the tech, how to identify use cases, train tuned models. We're driving it through the org. And I'm realizing, and Jeremy, this is when we met. I'm realizing it is not technology first, strategy second. It is strategy first, technology second. Everybody has, and they're still asking, what's the right use case? I think it's the wrong question because you're, it's like you're holding AI as a hammer and you're looking for a nail versus what are the biggest problems that we have that if we could solve them, it would unlock a new level of growth for us.
21:31Now, how do we solve that and recognize that AI is a tool to help you solve those problems? So my realization is focusing on what's timely, like how do we use AI in our sales process? Or how do we use AI in customer service? I don't think that's the right question versus what is timeless? What is timeless when it comes to building and growing a great business? And how do we use AI to supercharge those processes? it. That's where all my focus is. Can I give you an example, which I think, Mike, so I'm still involved with BarkBox, you know, like it's a$400 million turnover, treats and toy business for dogs.
22:14And the way that we've seen our strategy and how the world have evolved in that space is that it's thought about you bought your dog toys in the supermarket, then you went to Petco, and then you went to Bark because we kind of like, we niche down, right? And so one of the things we're working right now is how do we niche even further down to a breed level? Because if you have a golden doodle, then you probably just want to be served by somebody who just do golden doodles. And it also worked with like the conversion funnels of like influencers being more powerful. So there's a more elegant thread between somebody who talks about your partner.
22:45Now there's 360 breeds in the US. And if you want to do mixed breeds, you have to do 360 by 360. That's 116 ,000 different permutations of this thing, right? There is no way you could solve that with humans. I cannot make a business where I have 160 ,000 different storefronts, except with AI. With AI, I can make this thing, right? And so I think for me, as you're saying, that is an articulation of like the strategy is niching. The way that you can get that and the reason why you need to understand AI is because you didn't know that that was even possible to do if you didn't understand AI. You couldn't implement that.
23:20Yeah. And that to me is where I would put, I don't know if the right word is pushback Jeff but I'm scrolling up on my notes because you said something earlier and I wanted to kind of think about it uh the idea is and it gets at what Henrik's saying the the strategy we can now imagine of niching down it was previously outside of the realm of possibility so there's something about a familiarity with the capabilities of AI that's actually required to ratchet up what you imagine. And so, oh, I remember what you were saying, timeless. Sorry, I forgot for a second brain fart, but small language model here.
23:59What you were saying about timeless changes versus timely changes. And you said, Jeff, that I don't think model developments really matter that much or some version of that. And where I would push back respectfully in the spirit of kind of collaboration is they do matter when they fundamentally change what the kind of strategic possibilities are. And so I don't think that someone can be oblivious to what the best in class models can do. But again, not because they need to be techie, but because it redefines what is the kind of strategic possibility set that we need to be discussing as a leadership team.
24:35And here's my own experience. People will always ask me, how do you stay ahead on AI? And my answer is I don't try to. Because I think most of the latest things are distractions. I don't study the latest model release. I'll hear that it'll come out. I don't spend half a second investigating what its capabilities are. I don't. When it matters, it surfaces. Like when Claude Cowork came out, I started to hear about it. And anytime there's a significant model that changes real capabilities, I hear about it. Then I dive in. So I don't waste my time with the latest tool, the latest this, the latest that.
25:22The true 20 % that drives 80 % of the results, the cream rises to the top. Then you focus on it. How do you think, and maybe it's a different way of asking the same question, but I do think it is complicated for most people that of doing strategies today to make a strategy that is AI native in the way that we just talked about it with the niching down. So how do you think a business leader that, yeah, like is not as in tune with what's going on, even if it's only the 20 %? Correct. Even have the ability to formulate the vision for their business without having that insight. I can tell you how we do it.
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26:10this is just our approach. And this is also an area of expertise for us. The last decade of my life has been helping companies shape strategy and turn it into execution. So I understand how do you do that? But I used to be the guy that walked into the offsite with the sticky notes and the Sharpies and asking questions and everybody's writing their answers down and we're getting them on the wall, we're clustering them. But I realized now with AI, that model is broken because one person talks at a time, the loudest voice dominates, the smartest ideas don't always speak, whether because of politics, psychological safety, or maybe they weren't even invited into the room.
26:50And the process takes absolutely forever. People usually nod their heads, but then they kind of go and do whatever they were already doing. I found myself wondering, because I keep a sticky note on my desk that says, how can AI help me do this? Just as a trigger in my environment, I don't go looking for use cases. What I'm doing is the use case. And I was preparing for an offsite and I was like, how can Anna help me do this? We ended up inventing and patenting a model specifically for this, where instead of sticky notes and Sharpies, we architect a prompt. It's like I'm doing this for the executive team for Davida next week.
27:27They're giving us all their strategy data. We're ingesting it into a model that has the right levels of security and architecting a highly sophisticated prompt. And when we get in the room next week, they're just going to open their computers and open what we call our thought partner. And they're going to click a button. Thought partner is then going to simultaneously interview every single person in the room about the strategy and ask them the right questions. What's the AI driven business that will put you out of business. What would it look like if you built it first? Think big, cast that vision.
28:05What do you believe are the internal capabilities of the organization that are valuable, rare, costly to imitate? And so it's asking very strategic questions to people, and they're going to be walking around speech to text for probably 20 to 30 minutes answering all these questions. And what it'll do is it'll lay out almost a McKinsey style report of every person of their thinking. We then click a button. It will simultaneously read all of them and merge them and then AI on the back end, because they don't know all the capabilities of AI, but this is where the prompt architecture on the back end can prompt their initial context to then conduct deeper analysis and research.
28:46And then on the board in the screen in front of everybody, they'll say, here's where you're aligned. Here's where you're not. Here's what people are thinking, but not saying. And based on that, here's my first question. And it will then, AI will co-facilitate the meeting with me, where it will listen to probably 30 minutes of debate in just every word, and then ask the next best question to not only shape strategy, but truly to drive them to alignment in a matter of hours. Normally that would take three to six months. So that's how we now do it is we use it to unlock the collective knowledge of a group of leaders, but also harness AI on the back end to do things that the human can't do with that context we unlock, and then to co-facilitate meetings to drive them to alignment.
29:38That's cool. How, if you think about the bias that we discussed in the beginning, Bjork wondering whether he could trust Henrik's memo. even though Henry could put a ton of time into it. How do you think about that challenge? Take DaVita as an example, because you haven't been there yet, so we can speculate, you don't know. But take DaVita as an example. What makes them invested in the outcome and owning it? One thing I observe is folks see AI do a bunch of stuff, and yet you ask them what their favorite ideas are, and they go, the thing that's on the sticky over here that I didn't say to the AI, that AI didn't read back to me.
30:15You know what I mean? Yeah, yeah, yeah. How do you ensure that sense of ownership given all of the processing that's happening in the background. Authorship creates ownership. What's amazing, we've done this enough times now, people see their words on the board. They can see their thoughts. They see their DNA in the output. And also, because it's an anonymous interview and we design it to not accept surface-level answers, as it pushes for what they really think, things get said to AI that have never been said out loud in the company because people don't want to spend the political capital to say it.
30:57And when AI puts that stuff on the board and people look at that and go, holy shit, that's never been said, but that is true. Like the trust and the quality goes through the roof. And that's just the initial summary. Then they start to talk about it. And then the summary gets enhanced and they can see the language of the room now being reflected in it. They realize they're authoring something with AI and they just realize, oh my gosh, as a human, our ability to have a meeting and talk one person at a time is completely inferior to if we suddenly engage AI as a thought partner. Have you seen any organization lean in and act in the way that you're prescribing if the CEO and all the senior management is not embedded or is kind of leaned into AI?
31:52Yes. Every company we've driven this with starts that way. So tell me, like, it starts with somebody more junior that kind of, like, introduced them to your organization or how does... Nope. Somebody, some leader reads the AI-driven leader, whether they're on the C-suite or it's one of their subordinates that passes it up the chain. both happen. And they eventually say, we want our whole executive team to think and act this way. And we get brought in to do a session on becoming an AI driven leader where we shift how they think every person learns how to use this as a thought partner. And then sometimes we're also in that session doing what I just referenced is called speed to alignment, where we are shaping strategy or taking the biggest problems of the company and using AI to align them on top solutions.
32:40You always have people in the room that are naysayers, skeptics, sometimes hostages. When it comes to AI, it's just because they haven't experienced their light bulb moment. And the moment that AI starts asking them questions and unlocks a profoundly deeper sense of thinking, and then they can see their answers on the board, it's a transformative moment. Truly. And how long do you think it'll take from... You know, this obviously is a very new way of doing this. Basically, you know, walking, eating your dog food as it were, like, you know, doing this in the same way. We call it drinking our own champagne.
33:27When do you think consultancy at large is going to do like you do? Or do you think they're caught in the same issue as the accountants and the lawyers we talked about earlier that? I don't know. There are certain consultant firms that have seen us do this and then ask, can we do it? Which we have conversations with them about what that might look like. But I do believe, I mean, this literally happened. I won't say which one, but one of the big ones. I was at Air Canada and the CEO had made a giant declaration to the public markets on some results they needed to deliver over the next three years.
34:07And they needed to guarantee that the C-suite was aligned on this. This consulting firm had the first hour and they put up their classic PowerPoint deck. Said, we'll send our army in to interview everybody for the next 30 days and then we'll come back and we'll give you another PowerPoint deck. They walked out of the room and I said, everything they said they would do in 30 days, we will be done with in one hour. Open your computers and click the button on the thought partner. And AI interviewed every person simultaneously for about 20 minutes, threw it on the board. That unlocked 45 minutes of debate.
34:41It compressed 45 minutes of conversation into five bullet points, asked the follow-up question. By the end of two hours, they were fully aligned. Then they said, great, now how do we drive this to the next 25? Because these are the people that are going to have to make it real. So we got back in the room in an hour and a half, aligned them. Then they said, how do we drive this to the next 400? Same process. With Herbalife, we went from 25 people to 400 people to 4 ,000 people. And now this is going to become their backbone for how they drive alignment across an organization of hundreds of thousands of people.
35:16I just think this is the future overall. I wonder, Jeff, just brainstorming with you on your business. One thing I observed is in the last wave, there's this company called IDEO. I don't know if you're familiar with them. And they took a lot of business from the McKinsey's and BCG's of the world at the time. And, you know, companies like, I don't know the exact book of business. I've never been inside. But imagine Target or Walmart or someone. They're going, do we want to hire McKinsey again? And at some point in the last call at 20 years, we're like, we've heard about this kind of cool. Like, they all wear cool shoes.
35:52Let's get IDEO in here, right? You know, it's like something different. And to me, there's this moment where it's not clear. And the incumbents, they all develop design capabilities. By the way, IDEO now basically is a shadow of a former self. Again, I don't have any inside information. There's just outside observation. My question for you is, have you thought about how do, or maybe that's okay. I don't know. I think that is a potential outcome that may be desirable. Have you thought about how to avoid that kind of flavor of the month almost? like BCG, McKinsey, Bain, they're always, and they're going to develop these capabilities.
36:27If you just fast forward five years, they're going to be able to do all of it. How do you think about long-term differentiation or do you think about that? I do. I find myself asking what are our internal capabilities that are valuable, rare, and costly to imitate? What is it that makes AI leadership, AI leadership? And where can we use AI to enhance it and where might AI undermine it? And if it does, we're not touching it. And we stay focused there. I've heard so many great leaders say, don't spend all your time worrying about the competition. Just worry about being the best version of yourself.
37:07That's where most of my focus is. Of course, I think about competition and other stuff. But at the end of the day, all I can do is make sure that AI leadership is the best that it can be. And let's go kick ass and let's take names and now let's solve the problem that's in front of us you've done this now a lot with a lot of companies where have you found that ai needs you know where have you found that something is deeply human and and requires like just the human the loop is where the value is not necessarily like the thing for example when you're i would imagine you've probably done some kind of like uh some of your models have listened to all the interviews and then it's elevated five of my points.
37:47And then you look through the transcript and go like, you know what? There's like this thing that it didn't pick up. I think about, you know, 80-20 rule. Most people spend most of their time doing 80 % of the stuff that unfortunately only drives 20 % of the results. I also think that 80 % stuff is where people are acting like machines, focused on outputs instead of outcomes, sending the message, generating report, doing the task, like that's all going away. Yet there's the 20 % they do that drives 80 % of the results. And quite often those are more human skills. And I'm far, I don't really worry about using AI to take the 80 % off my plate because I could spend a career doing that and not move the value of my company.
38:32I just go straight to how do we harness this on the 20 % and turn our human strengths into superpowers. So I'll give you a real world example. Marianella is my former executive assistant. When I hired her, I told her, I gave her the job description. I said, these are the KPIs that you have to do really well on to do your job at the highest level. Now listen to this really carefully. I told her it was her job to hunt me down every week and get me to score her on a scale of one to 10 on every KPI. and if I did not give her a 10, she had to ask what could she do differently next week to get a 10 and she could never ask me those questions without an AI note taker present.
39:15I said, I'm not gonna come to you ever and proactively give you feedback. It is your job to lead with agency. It is your job to own your development. You come to me and ask me for feedback and make sure that AI is listening and transcribing every single word. We did this for every week for four months. by the end of four months she is crushing it so it's time to promote her i did this differently than i would have in the past in the past i always said congratulations here's your new title here's your new pay here's your new job description which is me saying fit into this box that's done i looked at her and i said i want you to go to ai and write crit which is my prom framework context role interview task.
40:00I want you to have AI help you discover what you think your greatest human strengths are and cast a vision for how you think you can bring 10 times to 100 times more value to the company. She goes, got it. Next week, she comes back with her vision. She goes, for me to bring 10 times - And you now report to her. Please let that be back. Wait for this. She goes, here's my vision. For me to bring 10 times more value based on my strengths, these are the 20 % priorities I'm currently doing. I got to double down on them. But here's the things I'm not doing that based on my strengths, I really should be doing.
40:33They're going to bring 10 times more value. But if I focus on those things, here's all the stuff I got to stop. Now I've segmented it into three groups. Here's what we got to stop because they're distractions. They don't matter. Here's the things I can use AI to augment or automate. And here's where we still need a person. So here's a job description for my replacement. She walks me through their 20%, their onboarding, their comp, asks for my approval. I'm blown away. And she goes, I appreciate it. We're not done yet. What do you mean? She goes, that's my vision for 10 times more value. That's not what you asked.
41:06You asked for 10 times to 100 times. I'm freaking out now. And she goes, my realization is I can't bring 100 times more value unless I make you 100 times more valuable. And she hands me a prompt where AI interviewed me to cast a vision for my role. If I were bringing a hundred times more value, it spat out a system of rules that we would have to implement. And then she anticipated knowing that I like to break the rules. She gave me another prompt where AI interviewed me to understand how I would try to break every rule and created a defense process. So if I ever want to break a rule, I have to go through AI first.
41:45Does it involve a shot caller or something? No, it does not. Her job description went from check my email, manage my calendar, handle my 80 % tasks to run our Latin America advisory process and run our rhythm of the business process inside our organization and make me 100 times more valuable. That's awesome. That's awesome. To your question, where I think about distinct human amplification, challenge people to use it to think. And don't put a ceiling on people's achievements. Don't pretend that you know how they can make the biggest impact. Put them in the driver's seat. Give them agency, like align them on company mission and goals, but get out of their freaking way and let them self-discover what their greatest strengths are and how they can make the biggest impact and support them.
42:39I love that. It's beautiful. It's a wonderfully uplifting note to end on. you know what thank you so much for coming on jeremy oddly another interesting conversation with jeff henrik woodland sitting in copenhagen by the window today yes i'm sure that people tuned into this episode to hear a saying yeah did you love that folks you love the banter they tuned they tuned in for the banter they tuned in for the banter um okay i have two things what do Yeah. No, I mean, four or five, but go ahead. Of course you do. It's not a competition, but it is. I mean, like, I was slow to get it, but I get it.
43:23That was great. I love that moment. We've talked about this a few times, that, you know, the more we learn about AI, realize this is not about AI, it's about humans, and it's about, you know, just running your business. And I think it took me a while, but I get it now. Like what he's articulating is this specific thing that you should use AI to become the best version of yourself so you can make the best company that you can imagine. And that probably requires that you understand these tools because they will give you an Ironman suit. And I just think that's a very elegant phrasing of, I think, a issue that a lot of people are dealing with, which is that they hear that AI is the future and they just can't really compute.
44:03They can make it the future for them or the company they sit in right now. And so I like that. Yeah. Just on that point, one thing I found myself saying when I'm talking with folks, you know, you can even go back to the Jagged Frontier study. One of the seminal studies that demonstrated the impact of AI on meaningful work. It was a study of hundreds of people at BCG. And one of the things that the researchers found is, you know, 12 % more tasks, 25 % more quickly, 40 % higher quality results. I think they later revised that to like 35%. But still, you have 35 % higher quality results. My question, very simply for, you know, if I'm in a room of leaders is, would your team say your work is 35 % better?
44:46Do you feel your decisions are 35 % better? If no, don't tell anyone else to do anything. This is about you, right? And I think it's his point is that AI is not IT's job. it's my job as the senior leaders is a very it's still lost on most organizations i think yes because also i think that nobody's really articulated in a very easy to understand way the why like why should you that i think when people ask for use cases they're just going like i don't i i have this button on my phone and i see it but like how and so uh yeah and i think that brings me to the second thing there are a lot of things that we do in our daily lives that we do because we always done it that way and he mentioned brainstorming i thought it's an elegant and interesting way of kind of like rethinking brainstorming i mentioned the story with with biak and and the linkedin post that i wrote um i now have i have different agents that do different things i use you know chat t and claude and all those different ones but they all kind of like when i ask i have a skill in all them where it says forward slash lock and then it just locks it into basically a repository of things that I've been working on.
46:02And every time I do something that's interesting-ish, I just go log in and write something. Now, every day I get two suggestions of LinkedIn posts I can do where it's reads the logs, but it also reads like, I don't record all my conversations, but I record those that I think might have interesting new nuggets. And it suggests me new LinkedIn posts. And so I'm now like posting much more often because I don't have to sit there with the empty paper and go, I wonder what you write about today. And I do have a lot of interesting conversation with much smarter people than myself that often kind of include something that would make a very interesting LinkedIn post.
46:36For example, this story about Biaga. And so I now get these two things every day. And I mean, like I've never posted more stuff and I think it's really quality work and it adds a lot of value to the people who are reading it. But it's just as simple as kind of retooling the way that I get to a LinkedIn post. And I think, you know, if we could do more of that, look at like each of the different outputs we have or would like to have more of or each of the different activities we do for thinking, then there's probably a lot of stuff where we could add AI to the mix and then get to a better output.
47:09I mean, I'll give you another example for me, which is, which just, just riffing. Cause I think that your point about usefulness and I also have a specific question about how you do the law, like how do you log the Bjarke conversation? But I'll give you my example. I noticed when you say output, we want more of, you know, you say LinkedIn posts a good example. I think that's great. Another one for me is customized proposals for workshops, things like that. Right. Like I'll do keynotes a lot. Very rarely do keynotes convert to customized proposals or let alone to then customize workshops. Part of the reason is I'm doing so much other stuff that I don't have the bandwidth to think about.
47:53What did we talk about? Like, I mean, if you think about like one area that's super interesting in a keynote is the Q &A. Lots of very idiosyncratic stuff comes up about the organization. Well, that's all in my mind. But then, you know, what happens right after the Q &A, like yesterday, I was in Chicago doing two kids. I got a race to the airport. I've got a phone call while I'm in the car. I go through security and then I get on the plane. I got a nap because I'm so tired, you know, and then it's like, and then I open my email and all of the kind of call it data, which would inform a custom proposal is totally gone.
48:27Right. And so what I've done is I've actually got a, you know, pen that records meetings that I'm in. And I have set up a skill to basically say, read that transcript. And then based on this kind of template I have for a custom proposal, iterate the template inspired by the actual conversation in the room. And I can tell you, I've never sent more custom proposals, you know, but it's because that's, I had to go through the thought process of, to your point of saying, what is an output that I would want? Maybe something I'm neglecting that I would actually really like. And that, I think, ties back to Jeff's comments around the Pareto principle.
49:09The 20 % of our activities that drive 80 % of our value almost by definition are things we are neglecting. Almost by definition. The 80 % that only drive 20 % of value are almost by definition stuff that end up crowding out our attention. And if you will kind of do the hard work of protecting the strategically important 20 are actually saying, how could I direct AI towards that strategically important minority of tasks? There are really cool, like Henrik's LinkedIn post writer, like Jeremy's custom proposal generator. They're right there. It's mostly a matter of giving yourself the kind of strategic thinking space to identify them.
49:57It makes a lot of sense. And I think it's probably like a good little tricker for people who listen to this to go like this for a few minutes after they've turned this podcast off and going, I wonder what I would like to do more of and let me sit down and make the skill for that. You know, there's often not that difficult. Right. Right. Yeah. I did love the, you know, comment that Jeff made. Now I'm qualified. You know, if I as a leader and elevating my game, I'm qualified to exhort others. But if I'm not elevating my own game, it's hypocrisy. I thought that was a really nice kind of very challenging statement for a leader to hear.
50:36Are you qualified to challenge your team? I like that too. Got everything, anything else? I know you have a hot stop, so I also want to be the time police today. the only other thing i would say is i like his uh jeff's comment that the wrong question is what's the right use case and the right question is what's the biggest problem we need to solve and shifting a focus from kind of use case orientation the only thing is that i haven't i think sometimes when you act big abstract questions then you also get like abstract answers and i think the the issue with that is i've tried that too and i think sometimes then their mind goes into a way that they frames the problem statements prior that is in the world that they live in currently and i think what's so elegant in for example the case about the breeds and bark box is that that is only a vision even the problem statement is not something you're able to phrase if you don't have a somewhat insight in what is now possible.
51:42If you cannot free yourself from the scarcity mindset of the pre-AI world. Well said. And so I have yet to find like a good way of introducing people to the way of asking the thing about what is the problem for our business we're trying to solve, but in the context of what will become. Well said. I think that's a really good, it's, it's a combination of the, your expertise and the capabilities of the model. You can't get the most out of your expertise if you aren't familiar with the capabilities of the model and you can't get the most out of the capabilities of the model. If you aren't bringing your expertise.
52:19A hundred percent, a hundred percent. As always, if you've enjoyed this conversation, hit the seven star button that you only get, I think Apple, they only give you like one seven star per year, right? So use your seven star on us. Use your seven star. The golden buzzer. The golden star. Hit it. Hit it. Share it. Like it. Love it. Comment. And we got a new website on beyondtheprompt.ai. Amazing. And you can go in and you can ask it questions about all the episode. We have a rack model with everything that we've ever done. You can put in your own company name and it will spit back at you what is the right episode for you to listen to.
52:55And so go check it out and let us know what you think about it. And with that, there's only one thing left to say and that is bye-bye. Bye-bye.
From the publisher
The episode begins with Henrik sharing a story about architect Bjarke Ingels questioning whether an AI-assisted manifesto was worth reading, sparking a discussion about effort, authorship, and accountability in the age of AI-generated work. Geoff argues that AI should act as a thought partner, while humans remain responsible for judgment and ownership.
The conversation then turns to leadership. Geoff explains why many organizations confuse access with adoption, why strategy should come before technology, and how he's using AI to redesign executive strategy sessions. Along the way, Henrik and Jeremy explore examples ranging from BarkBox's breed-level strategy to using AI to redesign individual roles around where people create the most value.
Key Takeaways:
- Leaders need to use AI themselves
Using AI personally is what qualifies leaders to shape strategy and lead others from practice rather than theory. - Use AI to improve your thinking
The biggest opportunity isn't automating work. It's using AI to think better, solve better problems, and imagine new possibilities. - Start with problems, not use cases
Begin with the biggest challenges facing the business, then use AI to rethink how to solve them. - AI still needs human judgment
AI can generate ideas, but people are still responsible for reviewing the output and standing behind it. - Focus AI on your highest-value work
Use AI to amplify the small set of activities where your human strengths create the greatest impact.
The AI-Driven Leader: aileadership.com
Geoff's LinkedIn: linkedin/geoff-woods
00:00 Are You Qualified to Lead on AI?
00:35 Meet Geoff Woods
00:54 The AI Slop Dilemma
05:48 Putting Your Stamp of Approval
09:19 What Changed in 18 Months
12:13 Access Isn't Adoption
15:50 Why Leaders Can't Delegate AI
20:09 Strategy Before Use Cases
22:02 BarkBox's AI Strategy
26:23 Reinventing Strategy with AI
33:11 Compressing Months into Hours
37:22 Human Skills as Superpowers
42:46 The Debrief
📜 Read the transcript for this episode:
For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:
Henrik: https://www.linkedin.com/in/werdelin
Jeremy: https://www.linkedin.com/in/jeremyutley
Show edited by Emma Cecilie Jensen.




