Join the eternally curious, interested, and interesting hosts, Mike Koenigs of the SuperPower Accelerator and Dan Sullivan of Strategic Coach®, to amplify your capabilities, value, status, and authority on the Capability Amplifier podcast. Ever episode focuses on a new mindset, shortcut or deep thinking exercise that will improve your performance and lifespan. Learn more at: https://www.CapabilityAmplifier.com
Dan Sullivan [00:00:00]:
Hi everybody, it's Dan Sullivan here, and this is the next episode of Capability Amplifier. I put Mr. Mike Koenigs, we put him at the center of the spotlight on how he can take his breakthroughs using AI to help really ambitious companies that have a huge future if they could just line the ducks up in the right direction and get all the right people in the right position.
Mike Koenigs [00:00:27]:
And I think the breakthrough for me, and you're going to witness this, is First of all, we've got this idea we discussed of humanizing AI with something called the Super Sprint. It's a way to accelerate the speed that you can use AI in your organization, but also do it in a way that enhances your teams and multiplies your teams and your capabilities in very, very short periods of time. And Dan got to put me on the spot. So you're going to see him coaching me through the process of delivering and Really, I'm making the announcement about how this works. You're going to witness a lot of things and some great coaching along the way. You will love this episode. All right, Dan Sullivan, here we are, Capability Amplifier. I have a problem that I'd like you to help me solve because I'm busy solving problems with an idea that I've been experimenting with now.
Mike Koenigs [00:01:36]:
Didn't realize I'd been experimenting with it for years, but it turned into a product and it's something we call an AI Super Sprint. The basic idea behind it is, with this methodology, We've found a really interesting way to give a team the equivalent of 6 months' worth of training on AI, practical, tactical, make-money AI saving time in several days. The whole idea behind it is we go in, we onboard, we just do a lot of research. We ask a lot of questions. We interview. Let's just put it this way. We DOS them. We ask them about the dangers, opportunities, strengths, We do it on a team basis, on a company basis, and then we get as much data as we can.
Mike Koenigs [00:02:26]:
We've been putting it into multiple AI systems. The reason for that is we call it adversarial AI. If you have multiple geniuses working on the same problem simultaneously, they usually come up with different ideas.
Dan Sullivan [00:02:39]:
Mm-hmm.
Mike Koenigs [00:02:40]:
We wind up finding interesting places to either create top-line revenue, invent new products, But, more importantly, we get employees in the room actively participating using these tools. What happens is the employees are getting stuff done that matters. The founder is making decisions in real time, which in many organizations you have to wait for an approval. You have to wait for something to happen. But, they learn a new cadence. Of the brand, of the business.
Dan Sullivan [00:03:15]:
Mm-hmm.
Mike Koenigs [00:03:16]:
They can start predicting what happens. And all this is being captured simultaneously.
Dan Sullivan [00:03:21]:
Mm-hmm.
Mike Koenigs [00:03:21]:
And at the end of it, we've had, uh, I have some case studies I'll walk through with you today. Um, instances where we built completely new businesses, we've built software products. And then the long tail is the AIs continue to build marketing materials and tools long after we're not involved. In another instance, we found 4 new places to generate revenue inside a company and completely changed the way they think about channel marketing, for example. It's really an interesting ride, but it's caused me to rethink our business. It really is reacting and responding to what I believe people need right now, which is the pain of My people aren't learning AI fast enough. They're not using AI for things that matter. There's a whole bunch of time that's being lost.
Mike Koenigs [00:04:17]:
I'd like you to ask me questions about this. You always are a master of the messaging and the framing, but you also ask hard questions after I show you a couple of examples.
Dan Sullivan [00:04:30]:
I'm all for it.
Ai Voice [00:04:32]:
Yeah.
Mike Koenigs [00:04:32]:
All right.
Dan Sullivan [00:04:32]:
I'm hitting this cold, which is my favorite. My favorite.
Mike Koenigs [00:04:38]:
Okay. Well, I'll open up with a little case study first. I think that would be— it's one of the most exciting ones we've done so far. And I'll share my screen for this. This is a group of people who came to us who had been, one of them in publishing, one of them in the business of private equity, raised billions of dollars, and came in just frustrated with the industry because in the traditional private equity industry, you're always raising money for a fund, doing lots of due diligence. There's massive amounts of compliance you have to pay attention to. And then matchmaking a business with investment. And there's so many things that can go wrong, of course.
Dan Sullivan [00:05:31]:
Right.
Mike Koenigs [00:05:31]:
And then these funds go on forever. And what he said is the biggest, most frustrating thing is everyone uses the same basic model. They call it the 2/20 model, where you take a fee of the investment, you participate in the backend when it makes money back for the investors, but these funds can go on and on and on. And he said, we're, we're, we're, Going out shopping the same deals to the same investors with the same terms. Nothing's differentiating us, and we're completely constrained by compliance. We've got to find a better way.
Dan Sullivan [00:06:08]:
Mm-hmm.
Mike Koenigs [00:06:09]:
So we spent a day with, with the team, and I did what I always do. I start interviewing and asking questions. So I'll go through kind of like the stock stuff here, and I'll get to the interesting thing that you'll like the most. But they came in with the pain, which is our business is overly competitive. There are all these problems. I interviewed Kevin, who is one of the lead investors and an advisor. Andrea has been involved in publishing for a while, and they wanted to find a unique way to combine their unique talents. Then they have a super connector out there who is attached to lots and lots of investors.
Mike Koenigs [00:06:52]:
So, the outcome of this is we invented a brand, told a different story, and even invented a software platform, each one of those in a day each. So, they were able to raise money immediately.
Dan Sullivan [00:07:07]:
Wow.
Mike Koenigs [00:07:07]:
So, this is one of the things we did is I had him talk about the problems and we started brainstorming. just took the conversation and put it into a code generator that built an app that would overcome the challenges. So in this particular case, it would allow them to capture investors. They call them active impact investors. It would allow them to capture information about entrepreneurs, and then it would start matchmaking and also doing due diligence. Stuff that would often take 7 months could be done in 7 weeks.
Dan Sullivan [00:07:47]:
Mm-hmm.
Mike Koenigs [00:07:47]:
But we had a prototype built in half a day. And when we brought on Elvin and a couple other people, they started looking at this demo we had built and talking to us like it was already made. So I, you know, part of the beauty of AI is as soon as you create a picture in their head and have a story they can participate in, it feels real and they talk about it like it's already made.
Dan Sullivan [00:08:12]:
Mm-hmm.
Mike Koenigs [00:08:13]:
So that in itself was a breakthrough because Elvin started talking to investors saying, you wouldn't believe what this team has. And it wasn't just vaporware because these tools now can build something real. But where it got the most interesting was I interviewed them again, talked to 'em, and I said, let's make a video about your better future. And, you know, whenever you're creating a pitch, there's lots of buyers. In their instance, one of the buyers would be an investor in this new company. Another one would be someone who would put money into the funds. There'll be entrepreneurs who would go inside the platform so they can receive the money. And then there's channel marketing partners, there's connectors.
Mike Koenigs [00:09:01]:
You know, everyone needs a little slightly different version of the story. So within a day, we had made 7 videos, all synthetic, and started showing them to people. So I'm going to show one to you now that captured the essence of the— a 90-minute conversation, and it did it in about 2 minutes. So I'll play it for you now and see what you have to say.
Ai Voice [00:09:30]:
Today, capital is trapped in a broken horizontal game. Frustrated investors chase incremental returns while middlemen control the flow. 9 out of 10 investments fail in this passive, outdated system. But the fusion of AI, blockchain, and automation has shattered everything. This convergence delivers institutional power directly to the individual. This is not linear growth. This is a quantum leap. 100 times faster than the internet revolution.
Ai Voice [00:09:59]:
The puck is racing toward the new frontier. NextEdge Alliance is completely disrupting the distribution channel, connecting investors directly to entrepreneurs. We eradicate delay and give you control over your destiny. Our intelligence platform provides institutional-grade diligence at individual speed. The Entrepreneur Scanner matches your expertise to the right deals in weeks. Not months. You're no longer just money. You're active, impactful capital with access to flow you'd never see today.
Ai Voice [00:10:32]:
The future of private capital is decentralized, founder-aligned, and investor-controlled. Don't get left behind. Join the revolution. Become a founding member of Next Edge Alliance.
Mike Koenigs [00:10:47]:
All right, so they just started showing that video and, you know, a couple of the other ones to the right kinds of people. And they had, within weeks, they had not only raised a couple million dollars, they ended up oversubscribing this opportunity because the story was better. And what I love about the experience when we're working with teams is the teams get engaged in the storytelling. And they get involved in making things that solve the problems, the tools that felt magical. Or they, you know, sometimes you put the right tool in someone's hands, but they don't know how to use it right. And they just get collaborative very, very quickly. So that's one of the case studies.
Dan Sullivan [00:11:41]:
Right from the beginning, These are entrepreneurial companies. These are not corporate clients, right?
Mike Koenigs [00:11:51]:
That's correct. Yeah. I've had one recent one who worked for Ernst Young, which has 450,000 employees. But we really created a whole business within a business. So, I'm going to just say everyone is an entrepreneur who goes through this process. And yeah, it's not common to work with a corporation. They don't think right for this.
Dan Sullivan [00:12:14]:
Well, they're faster moving to begin with, they're entrepreneurial. First of all, they're smaller. I mean, the number of players has a complication factor. So this is like a skunkworks, a digital skunkworks that you're saying, that they have a particular project, it's very clear. How much off-the-shelf stuff is there already that they already have that you're just linking together in a new way?
Mike Koenigs [00:12:49]:
That's a good question. Usually the only thing that's off the shelf is we're using— we build our tools using usually 4 AIs. Perplexity is one, and then we use Claude. NotebookLM from Google, and then often another one, it could be either ChatGPT or one called Manus. And the idea is those are like our experts. And the only thing that's stock off the shelf is really the connectors that gather the data or the tools. I try to avoid building new things only because it slows things down and the investment in infrastructure It's slow for us because our goal is to put a story in front of a customer who raises their hand and buys, or an investor who puts money into the deal right away.
Dan Sullivan [00:13:43]:
I hope that answered your question. The other thing is the skill sets are already there, but they're doing it sort of like analog fashion rather than digital fashion. Is that right? All the players can immediately recognize how your solution helps them specifically within the framework of their analog being. They already know how to do this in the gravitational system, you know, and they know how long it takes just the way they're doing it right now. They already have the experience of doing this in slow motion.
Mike Koenigs [00:14:21]:
Yeah, that'll be— I think the most common thing is we've been thinking about this or I've been complaining, you know, it's Most of the time these initiatives are led by frustrated founders who've tried to get their teams to do things that they don't have the capabilities or skill sets or tools for, or agencies that can't get the big picture together. And I think what I've learned over the past, especially 6 months, but over the past 3 years of using AI is Because we can synthesize so much information so quickly, we can take years of data and analyze it and find opportunities that have been missed for years or forever.
Dan Sullivan [00:15:11]:
Yeah.
Mike Koenigs [00:15:12]:
Yeah.
Dan Sullivan [00:15:12]:
So, so the big thing, you know, last we had a podcast that was very popular. What I try to do is to, with a brand new thing, like brand new technology, AI being the new, new thing. But people have had, when you can tell a story that this already exists, you know, and I use the example that when zero came into European finances, One of the problems they had, they were still using Roman numerals, which were 1,300 years old or 1,400 years old. And it's hard doing quick calculations using the old mathematical system. But the moment you gave them a new mathematical system, namely 9 numbers plus 0, they could do it. So what is the— I'm just trying to think this because I'm using your own story here. Is there a story that goes first? I mean, to a certain extent, you just showed me a video and that's a story. That's actually a story.
Dan Sullivan [00:16:26]:
Does everybody understand the basic story to begin with when you do the first? Does everybody?
Mike Koenigs [00:16:32]:
Well, here, my next case study is all about that because this is how Just inside of the last 90 days, everything changed. And I'll answer the question by showing you one more because I had 2 case studies and this is the one that was the breakthrough for me and us. And I realized, oh, we really have a unique system here.
Dan Sullivan [00:17:00]:
Mm-hmm.
Mike Koenigs [00:17:01]:
That's why we started calling it the Super Sprint. So I'll show that and it's going to open with the story this time. So the basic idea is this company came and their goal is to increase their EBITDA and their top-line revenue and make this company twice as valuable inside of the next year, which meant doubling their sales.
Dan Sullivan [00:17:26]:
Mm-hmm.
Mike Koenigs [00:17:29]:
There were lots of frustrations and they had been— it's a 10-year-old company. I'm being very careful in what I can and cannot say. What happened was, we pre-prepared ahead of time and gathered an enormous amount of data, all their past. Basically, the short version of what they are is, if you imagined Amazon has invested $40 billion into the systems that get trucks from one point to another place on time and doing route management and then making sure every route is optimized. Amazon spent $40 billion to do that. These guys have the similar, so they provide a software platform to anyone who has a fleet.
Dan Sullivan [00:18:21]:
Yeah.
Mike Koenigs [00:18:22]:
And when you use their platform, you're pretty assured you're going to save a minimum of 20% right out of the chute. And there's a high probability that your trucks will be used half as much because they're so well optimized, which means you can double what you can get done.
Dan Sullivan [00:18:42]:
Mm-hmm.
Mike Koenigs [00:18:43]:
You can double the amount of deliveries you have. The problem they were having is oftentimes to talk to a potential company could take 90 minutes or 2 hours, and it was customized every time. If they'd go to trade shows, having a booth at a trade show is not very powerful, but if you have a speaking slot, it's really powerful. Then there are other opportunities or avenues for Finding new customers, but they knew there were better customers out there. It's just a matter of which ones. So we ended up finding 4 new ways to generate revenue. But it all began with the story. So here's what happened.
Mike Koenigs [00:19:30]:
We did the data gathering. And because we had so much information, they walked into the room and I played them a video. It's a version of what I'm about to show you.
Dan Sullivan [00:19:39]:
Okay.
Mike Koenigs [00:19:40]:
and had a whole pitch deck created because I had so much data. So the first part of the meeting was, let's look at this and see what needs to change instead of creating something from scratch. And AI just gave us superpowers that, you know, it would— it did like 3 months worth of work.
Dan Sullivan [00:20:00]:
Mm-hmm.
Mike Koenigs [00:20:02]:
It took some driving to do it, but, but still. So I'm gonna just show you the video because This one story got everyone in the room excited because it covered virtually every problem they solve, every objection they deal with, and instead of it taking 90 minutes or 2 hours, it could be done in 4 minutes. So I'll just play it and see what you think.
Ai Voice [00:20:30]:
A family with no heat in February is calling about heating oil that's a day late. A grandmother is waiting on her chemo delivery. Garbage is piling up on a curb. All of this is happening because every truck on the road is a promise to a customer who cares. And somewhere in your fleet right now, that promise is being broken. A truck is taking the wrong turn. Another is parked at a customer who isn't ready. A third just clocked overtime and it's barely lunch.
Ai Voice [00:20:58]:
And the software you paid for to fix it It's an ERP with a map bolted on, or it's 40-year-old software that's been bought and sold like a ping pong ball, and the team that built it retired 10 years ago.
Ai Voice [00:21:11]:
Amazon won.
Ai Voice [00:21:12]:
Everyone knows what Amazon does. You click a button, place an order, and in 3 to 48 hours your package shows up.
Ai Voice [00:21:20]:
You don't care how it got there.
Ai Voice [00:21:21]:
It's just there. If you have trucks and deliver products, imagine if you had all the brains and capabilities of the Amazon experience, For your customers, your drivers, and your team. Rub for me. The Last Mile Operating System, trademarked. There's only one. 11 patents, 17 routing algorithms, 3 billion miles already driven smarter, and the team that built it still answers the phone. It's easy. 3 buttons for your drivers.
Ai Voice [00:21:53]:
They'll figure it out before lunch. Your dispatcher sees Every truck, every stop, every promise in real time. The safest mile is the one you don't drive. Fewer miles, fewer accidents, lower insurance, drivers home for dinner. At the University of Rochester, cancer patients get their chemotherapy 257% faster. Planning that used to take 6 hours now takes 30 minutes. At Matthews, Families get the dignified last mile their loved ones deserve. 200,000 fewer miles a year, 1,000 fewer maintenance hours, a measurably safer fleet.
Ai Voice [00:22:34]:
Verada doubled operational capacity with the trucks they already owned. No new fleet, no new overtime, just more orders served better. An armored car company runs 1,000 trucks across the country en route for me. Paper out, operating system in. Most routing software was bolted on, stitched together, or built around one big customer who wasn't you. Route4Me was built from the ground up by the team that holds the patents. 16 years still running, still building, still answering the phone. What happens if your CRM goes down for 3 months? Annoying.
Ai Voice [00:23:11]:
What happens if your last mile goes down for 3 hours or 3 days, you're out of business. Mission-critical infrastructure built like a life support system, because for your business, it is. In minutes, we'll show you exactly how much new top-line revenue your fleet is leaving on the table with our AI-powered calculator. Free, no-commitment. Like what you see? Apply for the pilot. The first 30 days are risk-free, 12-month commitment after that. We work with operators serious about growth, and we'll tell you straight if we're not a fit. Routing isn't a destination, it's a journey.
Ai Voice [00:23:49]:
Plan, execute, measure, improve every day, every truck, every promise. Route4Me keeps it. The last mile operating system.
Dan Sullivan [00:24:00]:
Yeah, it's really, it's really interesting. The one thing that we adapted You know, with coach, they're dealing with problems. And if you remind people of the problems right off the bat, it demoralizes them. So what we did as part of the story is tell how they're already doing things 90%. We always said, always tell them what they're doing is 90% right. You're a leader and everything. And you start off with a lot of compliments of who they are.
Dan Sullivan [00:24:35]:
Yeah.
Dan Sullivan [00:24:36]:
You know, what's already working? You got a great reputation. You know, you've got, you know, this is what you already have. These are the resources you have. These are compliments that you've received from the marketplace. But you always start them off by complimenting them. And then you go into, now we're going to show you a 10% From a time standpoint and a cost standpoint, a 10% investment that's going to double what you're already doing right now. So that's, that's how I approach it. I always start off by saying it's like the Experience Transformer.
Dan Sullivan [00:25:14]:
What are the 5 things that are already working?
Mike Koenigs [00:25:18]:
Yeah.
Dan Sullivan [00:25:18]:
Then we'll get to what's not working, but because of what's working and you add one new factor, which is the new sprint, you know, the sprint you're doing, all of a sudden they can already say, gee, I'll buy into this because I'm already doing things so well. So that's sort of my approach to it. Always start people off by making them proud of what they're already doing.
Mike Koenigs [00:25:45]:
Right. Well, what I'm experiencing when I listen to that, and I'm trying to think of how to—
Dan Sullivan [00:25:52]:
I mean, you get to that, you get to that, but it's not the beginning of the story. You know, I always start them off with a, you know, I mean, they experience the problems, they're frustrated and everything, and I don't want to embed them and go deeper into the problems they're already experiencing. I want to say what they're already solving and their customers love them. Now, let's add another factor that's going to double what you're already doing well.
Mike Koenigs [00:26:18]:
Yeah, that's really Yeah, let me— I'm going to process that.
Dan Sullivan [00:26:26]:
Yeah. Yeah. Like yesterday you did 2 tools, you know, and, you know, we had in the Free Zone program yesterday, I said, you know, what are the failures you had which you turned into breakthroughs? Okay. Yeah, I had failure. You always have failures. And the interesting thing is that every failure you've had, you actually transformed into a breakthrough. So you make them proud of what they've done. They get to think about it.
Dan Sullivan [00:26:57]:
And then you say, now, based on your experience, you're the only one who has this experience, is what can we do now with the addition of one AI-based factor that's already prepared for you? We just have to plug your individual activities, your individual resources in.
Dan Sullivan [00:27:16]:
Right.
Dan Sullivan [00:27:17]:
And this is where we can take you.
Mike Koenigs [00:27:20]:
Okay. So that is useful and it helps me get to the part where I want to ask you some questions. Okay, so I'm going to show you just a couple more things because when I walked in and showed them the video, one of the leaders said, well, it looks like we're done. Can we leave now? And then they saw what was the preview to what— to this piece, which was I had taken all their data and made— tried to create a simplified pitch deck for them. Because one opportunity we ended up uncovering is that they are doing these trade shows, but they don't always have someone speaking. But that's part of that's because you usually need to be pretty close to a professional speaker to speak well. And you have to have a really short story so you don't lose the attention of the audience. Well, I thought if you can open with a 4-minute video and have 12 more minutes or so to go through the rest of the deal, that's what we ended up building was something that was compressed that anyone could do.
Mike Koenigs [00:28:29]:
So we kind of built out this presentation that reinforced the benefits, came up with a way to repackage They had had the makings of a book and never used it. So a way to capture leads. And then in the end, what we found was we uncovered some hidden revenue. I can't talk about specifically what it is.
Dan Sullivan [00:28:58]:
Yeah, I got it.
Mike Koenigs [00:28:59]:
But then we found several places they could immediately capture revenue to get closer to doubling their income this coming year without changing their behaviors a lot. Yeah.
Dan Sullivan [00:29:17]:
Or their culture.
Mike Koenigs [00:29:18]:
Their culture. Yep. And then their teams, because we had some of their— some really bright people who were super engaged, their recent hires started using these new AI tools. They had the capability to create all the content, for example, to create promotional webinars. They had assets they could use and repurpose, but everyone tapped into a new, better vision of themselves as team members, as well as what the company would do. And it was a game of something that I've really learned from you is You are truly one of the most talented facilitators I've ever met. It looks easy and what you do with founders is extremely challenging and knowing when to get out of the way and let them do what they want to do. What I've learned inside of this is AI can provide you with superhuman skills, but it can also push you It can make you 3 times or 10 times worse if you allow it to.
Mike Koenigs [00:30:32]:
It needs to be facilitated to get results.
Dan Sullivan [00:30:36]:
Mm-hmm.
Mike Koenigs [00:30:36]:
So now that I got to that tail end, I'd like your take. How would Dan Sullivan present this to founders and how would you tell this story? 'Cause you've watched me, you've watched this kind of thing, you've seen me for years. And this is, to me, it's a breakthrough of thinking and process that gets the results quicker and it's collaborative. And I am looking for guidance on how do you tell this story better? How would Dan do it?
Dan Sullivan [00:31:16]:
Here's a question that I have. I mean, are you, aware of the specific company that you want to help and you have some information about them that they've not processed in a way. In other words, that you have a way of thinking about their company that they haven't really done themselves. You're showing them a completely new way of looking at their company just based on what they're already doing. So how much information do you have? upfront about who they are and what they're already doing?
Mike Koenigs [00:31:50]:
Before they're a customer or when they become a customer?
Dan Sullivan [00:31:53]:
Yeah, before they're a customer.
Mike Koenigs [00:31:54]:
Before they're a customer, what I have done recently, I always have people fill out a form that is very DOS-like. It's like, what are your current dangers? What are the opportunities you want to take advantage of? I always say, what do you want to be known for? What are your superpowers as a company? Then I also ask them ahead of time, if you walk away from a meeting where you'll learn how to use AI effectively and amplify your capabilities in your organizations, what would make this conversation an 11 on a scale of 1 to 10?
Dan Sullivan [00:32:34]:
Mm-hmm.
Mike Koenigs [00:32:35]:
I ask a variation of what would be considered the Dan Sullivan question. What do you want? What's your, you know, if we were meeting a year from today, what would your better future look like?
Dan Sullivan [00:32:46]:
Yeah.
Mike Koenigs [00:32:46]:
So I have that data and then I use tools that go out and scrape every piece of information we can on the founder and the business. And then I push it through and get a report that will, you know, for me find opportunities. So I'm well equipped to have a conversation ahead of time and at least be equipped with asking questions that will lead to opportunities that AI can amplify. And it always starts with telling a better story, packaging it, and finding ways to increase the price of the product and having better conversations with customers you already have so they want more.
Dan Sullivan [00:33:30]:
Yeah.
Mike Koenigs [00:33:31]:
I don't know if that answered the question, but those are kind of the thematic Well, I'm asking the questions mainly so that I can ask you better questions.
Dan Sullivan [00:33:42]:
And, you know, but the big thing is that is, well, let's just take fleets, for example. There's an enormous amount of information about fleets that's available because fleets have been around forever.
Dan Sullivan [00:33:59]:
Yeah.
Dan Sullivan [00:33:59]:
But for example, you could say to them, There's 4 stages on how at the end of the first year, there's 4 adjustments that if you made them over the course of 12 months, the first adjustment would be this one because this is money on the table right now and you can get that money right away. And they can do the math. I mean, they're doing the math, but let's just say there's 4 solutions here. That simply takes advantage of what you're already doing. The money is already there. It's either saving money or it's more making money. Okay. And this is the first stage.
Dan Sullivan [00:34:41]:
You would do this. And then there's the second stage. Once we get that in place, then we add the second stage, then we add the third stage and fourth stage. And a year from now, you're looking at double your revenues.
Mike Koenigs [00:34:53]:
Revenues.
Dan Sullivan [00:34:56]:
And I think that's very, very interesting. I'm just writing our next book and, you know, we're just putting the finishing touches on the next book. And in the introduction to the book, I said, how do you use this book? Okay. So right in the introduction, how to use this book, and I tell them 10 things that they're gonna be better at if they finish the book. 10 things that I put it right in the introduction, how to use this book. So when you're reading the book, we're gonna give you 10 frameworks for actually understanding what the book can do for you. But you have enough experience now. I mean, you've done, I mean, you've been doing it for 30 years, but now you have, AI as a tool.
Dan Sullivan [00:35:53]:
And what I feel is that it's really simple. I have a client in Toronto, and the biggest problem that airlines experience is canceled flights. It's the killer in the airline industry. And the reason is that you have to reschedule everybody.
Mike Koenigs [00:36:18]:
Right. Yeah.
Dan Sullivan [00:36:22]:
And I don't have the numbers exactly right here, but let's say the average airline can reschedule 100 people a minute. Okay. Well, that's a lot. Like, for example, if O'Hare goes down in Chicago, the busiest airport in the world, if they go down like O'Hare goes down, you're talking about 50,000, 60,000 customers across the network right away. And at 100 a minute, we're talking about 3 days beyond us of getting people rescheduled. And he's got a black box that reschedules them all, and it doesn't involve the airline, it's just the cell phone of the customers, and they have all the customers' phone numbers. And so he went into one of the airlines and he said, I wanna tell you, how much it cost you to reschedule flights last year? It was $98 million. Okay? It was $98 million.
Dan Sullivan [00:37:25]:
And that $98 million would be available to you right now if you had the black box. And the chief financial officer of the airline said, well, how much is this gonna cost? And I said, well, that's not the question. How much of the $98 million is ours?
Dan Sullivan [00:37:45]:
Right.
Dan Sullivan [00:37:46]:
If we solve this problem for you. You know, I mean, there's a number. We get $98 million. I mean, would $8 million be okay if we got $8 million or something like that? So the big thing is that what I'm seeing here is in your discussion is that they don't sleep at night because of this problem. They don't take free days because of this problem. They have incredible complexity of solving the problem just the way they're doing things. And we said, what if we could just get rid of all the friction? We could get rid of all the wasted effort that we're devoting to not solving the problem. And I don't know if that's helpful at all, but it seems to me that—
Ai Voice [00:38:38]:
Yeah.
Dan Sullivan [00:38:40]:
You want to get as close to a no-brainer as possible with this.
Mike Koenigs [00:38:44]:
Yep.
Dan Sullivan [00:38:45]:
Yep. We've got the whole system. All we have to do is plug in your numbers and, you know, we'll show you the exact amount of money that you're either going to save. That's one pot of money and how much extra money you're going to make. And that's another pile of money. And it's about money. I mean, it's about money.
Mike Koenigs [00:39:05]:
It always is. Yep.
Dan Sullivan [00:39:07]:
Time is money. Time is money, or lack of.
Mike Koenigs [00:39:12]:
Yes.
Dan Sullivan [00:39:13]:
Yeah. What are you getting so far out of the conversation?
Mike Koenigs [00:39:18]:
Well, I think the, um, um, what I am experiencing just this last part is what has attracted my buyers in the past is the notion of they know they need to be using AI more effectively. They usually watch me do something that they're like, oh, God, if I just had a piece of that in my own company, if my own people thought this way or could use these tools proficiently. They can see in their head it would make a a big difference in terms of efficiency, productivity, doing more with fewer people, or enhancing the ones they have.
Dan Sullivan [00:40:07]:
Yeah.
Mike Koenigs [00:40:08]:
And then they also are attracted by the fact of speed, of creating better stories that can attract better customers. Like, those are the kinds of things that they know it will make a difference. And it's always a frustration. It's like, how do we create more value faster and collapse the speed of time and trust.
Dan Sullivan [00:40:30]:
Yeah.
Mike Koenigs [00:40:30]:
And that, it's not always quantifiable, but anyone with an intuition can see it.
Ai Voice [00:40:37]:
Yeah.
Mike Koenigs [00:40:39]:
And now if I were to find a means to do a better job of analyzing upfront the business, which can happen during a consultation, And where I naturally migrate to is I know if they have— if they already have existing customers, we can for sure create a more expensive, more valuable product they can charge more money for and tell a better story for. That one is a for sure. If they have a platform that can give them access to rooms full of buyers, That one is always— we can definitely show a good way to present their product or service better. I think quantifying that, what I love about this is, it puts the onus on them to implement and take the tools and resources we create. And that is— so the positive side is I think I can tell a better version of the story and get them closer to nirvana faster.
Dan Sullivan [00:42:01]:
Yeah. Well, there's something—
Dan Sullivan [00:42:04]:
Go ahead.
Dan Sullivan [00:42:05]:
The one thing I want to just say is getting rid of people is not a Good subject right now. Yeah, but getting double value out of the people you have is really a good story.
Mike Koenigs [00:42:22]:
Yes.
Dan Sullivan [00:42:23]:
I mean, I have to tell you, people don't like firing people.
Mike Koenigs [00:42:28]:
Yep.
Dan Sullivan [00:42:28]:
It's demoralizing and they know it creates a— so I never talk about you're going to get rid of people. I say you're going to get double value out of the people you have. Question I have, how difficult is it to get the existing people and their skills plugged into the new system?
Dan Sullivan [00:42:50]:
Yeah.
Dan Sullivan [00:42:51]:
I mean, that's very important for them because they don't want to take on more work.
Mike Koenigs [00:42:56]:
Yeah. Is that a direct question or is that just—
Dan Sullivan [00:42:58]:
No, I'm asking you the question. Yeah.
Mike Koenigs [00:43:00]:
Yeah.
Dan Sullivan [00:43:01]:
So here's what I— How fast does the team get plugged in to Just in terms of the people they have.
Mike Koenigs [00:43:08]:
Okay, so what I found—
Dan Sullivan [00:43:10]:
I mean, this is logistics and logistics is actually a simple business. It's not an easy business.
Mike Koenigs [00:43:22]:
That is true. Okay, so I'm going to answer the question because there's a nuance to this. And I found over the past 3 years, 2 significant breakthroughs where adoption is invited in and it happens rapidly. One of them is, over the course of time since we were doing the training, the AI Accelerator training, I found the breakthroughs happened when I'd have a founder in the room, so a physical founder watching magic with usually a number one or a number two alongside them, and then they'd have their teams.
Dan Sullivan [00:44:00]:
Right.
Mike Koenigs [00:44:01]:
remote. And we'd give them an exercise and they'd start working on it in the room. And sometimes they'd just do it anyway. They wouldn't pay it— they'd pay attention to a few things I'd say.
Dan Sullivan [00:44:12]:
Yeah.
Mike Koenigs [00:44:13]:
I'd give them some tools and they'd start working and typing and doing stuff in the background. And then they'd raise their hand and say, we just solved a huge problem that we wasted $50,000 or $500,000 on in 6 months with a consultant. And And my EA built this thing. She built an app or she built a tool. And I call it popcorn moments. So it's a new— it's just a collaboration.
Dan Sullivan [00:44:41]:
Yeah.
Mike Koenigs [00:44:42]:
Where the founder's involved with employees and actually playing with the tools in real time. So that's the first one. Now, where I've had the biggest breakthroughs Were the selection of super sprint teams. What I tell everyone is, we've got to limit this to a founder, usually a number 1 or number 2, ideally a sales and marketing person, and some AI-friendly. They don't have to be proficient, but they're advocates and they're positive.
Dan Sullivan [00:45:18]:
Yeah.
Mike Koenigs [00:45:19]:
You can't have any negative people. And you have to be cautious about the volume of fact-finders in the room because they can get stuck in details and want to solve any problem.
Dan Sullivan [00:45:33]:
In the weeds. In the weeds. You get in the weeds.
Mike Koenigs [00:45:37]:
So, the wrote-for-me example is the best one that pops into my head is we had these 2 relatively young guys to the company. who were remote, and I started giving them tasks. And then we gave them access to these little AIs we built. And within 2 hours, they were contributing massively to the movement.
Dan Sullivan [00:46:00]:
Mm-hmm.
Mike Koenigs [00:46:01]:
And we were producing multiple— the AI world calls them artifacts, but an artifact is a useful outcome or output. So it could be a, a bunch of emails for a campaign, or it could have been like some significant research that impacted moving forward. But we soon had triple the output inside of the multiple days we were spending together.
Dan Sullivan [00:46:30]:
Yeah.
Mike Koenigs [00:46:30]:
But the most important thing was they now knew the voice and behavior of the brand and felt Like they had agency to make decisions and they really understood the conversations.
Ai Voice [00:46:44]:
Practice.
Mike Koenigs [00:46:45]:
And then what I hear afterwards, and I just got an email from someone who was in one of these, she said, my 2 people have been on fire. They're doing things they never thought they could do. They know how to find the answers to the problems. They don't just solve them. Now they're asking better questions to find better tools. So the adoption rate, then it can— the breakthrough happens in a couple of days.
Dan Sullivan [00:47:15]:
Mm-hmm.
Mike Koenigs [00:47:16]:
But then the full immersion happens in 90. And John Kissel will say the same thing about his experience with bringing on someone fresh who just gets mentored and has some AI capabilities as they're doing things that multi-year folks weren't doing before?
Dan Sullivan [00:47:35]:
Yeah, so here's what I'm seeing about it, is that the solution to a whole company is a new sprint team. Okay, so what I'm saying is that what you're selling is the AI that supports a new sprint team in your company that is going to gradually transform the rest of the company. It's a sprint team. So the big thing is that you're humanizing it, okay? Because they know that almost any company knows that they're not properly organized. They don't really have the right people doing the right things as it relates to a bigger future.
Dan Sullivan [00:48:24]:
Yeah.
Dan Sullivan [00:48:24]:
But if you can You can get an owner and you can get a number one to the owner and you can get a certain sprint team together. We can go through and create another doubling in one year program for your company, but you have to be selective about the people who are on the sprint team. So that's how I— We call them dominoes.
Mike Koenigs [00:48:45]:
Yes.
Dan Sullivan [00:48:46]:
Yeah.
Mike Koenigs [00:48:47]:
Yeah. That is exactly right. Because what happens is The 2 people who participate in the first one, now they start replicating that behavior and people look at them and go, I want that superpower too. Hey, Mike Koenigs here. If you're enjoying this episode and you just had the thought, I want that superpower too. Well, I have an opportunity for you. It's called the $1,000 Cup of Coffee with Mike. You and I will sit down together and talk about your business, your team, Your biggest opportunities, and the better future self you want to create.
Mike Koenigs [00:49:22]:
And then I'll take you through the same kind of diagnostic process Dan and I have been talking about in this episode. And we'll start with what you're already doing right. As Dan said, you may already have 90% of what you need— the customers, the reputation, the team, the data, the experience, and the intellectual property. You may simply be missing the next 10% that could multiply the value of everything you've already built.
Dan Sullivan [00:49:45]:
Right.
Mike Koenigs [00:49:45]:
Built. Now together, we'll identify the biggest opportunities to increase top-line revenue, find hidden money that may already be sitting inside your business, and create new products, services, offers, or revenue channels. And we'll also look at how you can tell a better story, increase your status and authority, and become more valuable to the customers you already have and attract new customers who can immediately recognize what makes you different. And this is not about replacing your people. It's about getting more value from the great people you already have. And we'll explore how a small, carefully selected sprint team can use AI to make better decisions, ask better questions, move faster, and begin transforming the rest of your organization. Now, at the end, I'll create a highly detailed super sprint roadmap for your business. It will show you where the opportunities are, what to prioritize, and the specific steps you can take to move forward.
Mike Koenigs [00:50:41]:
And you can take that roadmap and implement it with your own team. Or if it makes sense, we can discuss how my team and I can lead a 1 to 3 day super sprint inside your business and help you build, fix, and amplify the highest value opportunities that we uncover. Now, the investment for this meeting is normally $3,000, but because you're listening to the show, you can do it for $1,000. Now, There are some criteria that you have to meet though. This isn't just for everyone. It's designed for founders with a real business, with real customers, and 7 figures or more in revenue. And it's founders only that I speak with, not number 2s, not number 3s. The founder who has decision-making power needs to be there.
Mike Koenigs [00:51:26]:
So it's also for successful founders who've had an exit and are ready to build their next act. I don't work with unfunded startups or businesses that don't have customers unless you've already built and sold a successful business in the past. Now, if that sounds like you, go to aiaccelerator.com/1k. That's aiaccelerator.com forward slash the number 1 and the letter K. So let's sit down, we'll find the hidden opportunities inside your business and build your super sprint roadmap. Now let's go back to the show. Thank you for watching. Now I'm about to say something that I don't personally want to do, but I know someone someone will want to do is, I'd like to take the Super Sprint methodology and it should be a certification program that would be delivered in companies because when you use these 1 to 3-day, very specific outcome processes and it's done very democratically.
Mike Koenigs [00:52:27]:
What I do is I have everyone present their better future, their biggest problem. We put them up on a board and we democratically rate them. Of course, the founder is the tiebreaker, but with no exceptions, the right things show up. And that's what we work on first. And we set up constraints, time constraints and movement constraints. And we just—
Dan Sullivan [00:52:54]:
Yeah, you're putting them into a real-time situation.
Mike Koenigs [00:52:59]:
That's right.
Dan Sullivan [00:53:00]:
Yeah.
Mike Koenigs [00:53:00]:
Yeah. And it changes the psychology of the business and what they think is possible really fast. And they're not bogged down. Now, in my particular case and with a leader, when I've, you know, it's someone who needs generalist knowledge on these tools and how to use them, or they could get stuck for days on something that can be solved in 5 minutes. But I see that as being an amazing opportunity moving forward, our generalist AI facilitators, and they don't need to know anything about the core business. Like, I didn't know anything about fleets, but I got a, you know, a PhD in fleets in no time. And now I've done it with a bunch of other businesses since that, uh, it's not important that I even understand your business, um, or someone who, you know, is working in my place.
Dan Sullivan [00:53:51]:
Sounds like Strategic Coach.
Mike Koenigs [00:53:55]:
Yeah, exactly.
Dan Sullivan [00:53:56]:
No, you're creating a sprint coaching organ. But what I'm saying here is that you know that AI is going to support this. The problem that I see with AI is that what's available 6 months from now is going to be a lot greater than it is today.
Mike Koenigs [00:54:19]:
Yes.
Dan Sullivan [00:54:20]:
The question is, what is the technology-human interface that allows already existing players that you have in your company who can join a team. They have a unified vision, they have a unified communication structure, and AI— if AI is twice as valuable in 6 months, nothing has to change. They just have to take the benefit of the new AI. But they want to put themselves in a position that they have a growing teamwork inside their company that's always adapting quickly to the breakthroughs in AI.
Mike Koenigs [00:55:00]:
Yes.
Dan Sullivan [00:55:01]:
The problem with AI is that if you don't approach it correctly, it's disrupting you every quarter and putting you back to zero every quarter, and you got to adjust, and there's no end to it.
Mike Koenigs [00:55:14]:
Yeah. What I believe is and the way I've adjusted my training. So the part of this, as I'm preparing for the XPRIZE training, 'cause this is a, there's 90 people in a room who work for XPRIZE. I'm not talking to a bunch of founders here. And then at this other organization that's got a couple thousand employees, I'm thinking through a different lens as well.
Dan Sullivan [00:55:39]:
Yeah.
Mike Koenigs [00:55:40]:
And what doesn't change, Dan, are the mindsets.
Dan Sullivan [00:55:43]:
Yeah.
Mike Koenigs [00:55:44]:
There are very explicit mindsets of using AI effectively that the technology, we don't care, we're just agnostic. But having time constraints on dabbling is important. Talking to AI versus typing, you know, that's where 3 to 10 minutes can be gained an hour. And then there are really simple tools allow you to replicate your skills that, again, the tech is going to just get better. There's no question about that. It'll get more predictive, but your own human psychology gets in the way of progress.
Dan Sullivan [00:56:28]:
Yeah.
Dan Sullivan [00:56:28]:
Yeah. Yeah. But what I'm seeing here is that there's a double sale that you have here. The first sale Is I can transform the center of your culture so that you have— I'm not going to use the word technology because that's— the technology is always a factor. And everybody's aware of, well, where do I get started with AI so that I don't have to relearn everything over the next 6 months. I don't want disruption in my organization.
Mike Koenigs [00:57:12]:
Yes.
Dan Sullivan [00:57:13]:
Yeah. And the other thing is, I'm thinking from the standpoint of Mike Kanigs that, you know, a really ideal thing is that you have a solution that you can stay with for 10, 20 years. And it's always the same because the humans are always going to be a constant factor. And we can get better and better at getting the sprint team up and going very, very quickly.
Mike Koenigs [00:57:42]:
Yeah.
Dan Sullivan [00:57:42]:
Because it's human relationships that's at the center of this. And the big thing is we know that AI is endless, the processing of AI. I remember I saw a video with Altman, you know, the OpenAI guy.
Mike Koenigs [00:58:02]:
Yeah.
Dan Sullivan [00:58:03]:
And he says, you know, our predictions about how the technology is going to advance have been pretty accurate. What hasn't been accurate is our understanding of the economics of it. And the other thing is the social aspect of it, how humans are going to respond to it. And they've done a really good job of terrifying the human element. You know, they've—
Mike Koenigs [00:58:29]:
That's so true.
Dan Sullivan [00:58:32]:
Yeah. So, so the big thing is those are 3 factors. We know the technology is always going to get better. Okay. So that's a given. Okay. Who is it that you have to have at the center of your culture that's always going to be gung-ho about the changing technology, but they have the ability to translate the technology into greater teamwork, greater productivity, greater profitability on a continual basis. So it's almost like you're creating a new kind of human element inside of any company.
Dan Sullivan [00:59:14]:
And there are certain mindsets that always have to be there. You know, you know, yeah, I don't know if this is helping at all. Is this helping you?
Mike Koenigs [00:59:23]:
It, it is. I think the, uh, what I'm curious about is, um, so all that, I, I think of it—
Dan Sullivan [00:59:31]:
See, what we need is a story that Mike Koenigs is, uh, we need a story that Mike Koenigs is telling the story about himself and his 30 years of experience and what he's now, what you're now able to help any company that's willing to actually transform themselves. That's what I'm seeing here. It's the Mike Koenig story. You know, you're the magician, you're the magician. And there are certain companies you like working with and there are certain companies you don't like working with. So this, if you're this type, it's like the book that we just produced, who we're looking for in Strategic Coach.
Dan Sullivan [01:00:08]:
Yeah.
Dan Sullivan [01:00:08]:
We're looking for people who are already doing everything we're describing here, and they know they just want to grow in each one of these areas.
Mike Koenigs [01:00:17]:
Yep.
Dan Sullivan [01:00:18]:
You're the expert. You're the expert. Yeah, but it's the Mike Koenig story. I think there has to be a lead story, which is your story, because you can get that out to 1,000 companies.
Mike Koenigs [01:00:30]:
Yeah. So what, what do you, you know, you've known me a long time, and what's your version of that? If you had your lead, um, tell me your version of it. I You'll always spin it differently than me.
Dan Sullivan [01:00:48]:
Yeah, it's just that, you know, you can tell a story. Ever since I was a 14-year-old kid, I've been fascinated with technology and how technology can transform companies. You know, I'm just passionate about this. And I was doing this for 30 years. We've We've jumped from one level of technology to another technology, and now we're into the mother lode of technologies, the technology that constantly transforms itself. And I'm really fascinated. And I know that there's companies out there without them being experts on AI can see the payoff for AI and they can translate it into what they've already built so that it grows faster. So I've worked out a whole set of formulas.
Dan Sullivan [01:01:39]:
I've worked out a whole set of processes by which any company that's willing, is excited, and it has real future to it. It has a real future to it. And I can show you how using the human resources you already have, you can start increasing enormously the productivity and the profitability of your company. It's a 4-stage process or it's a 5-stage process. And all we have to do is utilize your data to uncover opportunities you have right now. And then we can translate this into new apps. We can translate this into new marketing platforms, and we can do this. The technology is there to do this, but it just requires a certain type of founder, a certain type of, you know, of managers in the company and a select group of people who are gung-ho about their own future.
Dan Sullivan [01:02:39]:
They're gung-ho about their own future, but they're gung-ho about being a crucial center in the growth of the company. But it's a Mike Koenig story. See, the one thing is I don't want to depersonalize it that you're not at the center of this. I think you have to be at the center of this. Have you called Mike Koenig? Have you been in touch with this guy? He's got this amazing process. So my sense is that it's sort of a personal story that there's nothing that you love more as Mike Koenigs than helping a founder and his company that's got a great future if they can just transform the quality of the resources that they're already working with.
Dan Sullivan [01:03:30]:
Yeah.
Mike Koenigs [01:03:30]:
Thank you. Yep. That confirmed what I've felt. And again, I'm so close to this right now in the middle of them that it's hard to see through the noise. But I also wanna see what impacted you. So it was profoundly useful. I appreciate it.
Dan Sullivan [01:03:49]:
Yeah. Yeah.
Mike Koenigs [01:03:51]:
Well, good.
Dan Sullivan [01:03:51]:
Any other—
Dan Sullivan [01:03:52]:
Well, I always start with the entrepreneur because the entrepreneur is my, Passion. What's the unique ability of the entrepreneur? And how can the entrepreneur get into the sweet spot where everything you're doing is just absolutely what you love doing? And I keep learning and I keep getting better.
Dan Sullivan [01:04:16]:
Yeah.
Dan Sullivan [01:04:17]:
You're the energetic center to this whole process. And that's constant. You don't have to change at all from now on. You just have to go deeper in terms of who you already are. That's what I'm seeing.
Mike Koenigs [01:04:37]:
Yeah. Immensely useful. Thank you.
Dan Sullivan [01:04:43]:
Yeah.
Mike Koenigs [01:04:43]:
So any final words before we wrap this segment up?
Dan Sullivan [01:04:50]:
And here's what you want to do. You want to create an organization of the founders who are doing this. So the founders from, you know, and try to select different— you'd have a fleet, you'd have, you know, you could break it out to 12 different, distinctly different, so they're not competing with each other.
Mike Koenigs [01:05:12]:
Mm-hmm.
Dan Sullivan [01:05:13]:
But they're going through the same process and they're It's like coach. You're in the room with people, you don't know anything about their business, but you understand the growth process that any business has to go through.
Mike Koenigs [01:05:26]:
Yeah. So it's basically Super Sprint-enabled organizations. And the opportunity is you're not only experiencing this, because that's what I've I have found consistently is you've at least got to do this once. Now, my favorite clients are the ones that we do a sprint every quarter for 1 to 2 days. We either expand on something we've already done or we build something brand new because their teams have taken over the last one. That's what's great about it.
Dan Sullivan [01:06:09]:
Self-managing, self-multiplying teams. Yeah, yeah, yeah. No, it's great. I mean, it's great. But the big thing that I'm seeing, because I've taken you through your 6 lifetimes, your 6 technological lifetimes, and I don't think you want a 7th. My feeling is that you're at the center of where all the progress in the world is taking place, and you don't have to move.
Dan Sullivan [01:06:39]:
No.
Dan Sullivan [01:06:40]:
You just keep adding more and more experience and then you have a growing community of people who are using the sprint process to transform their companies.
Mike Koenigs [01:06:51]:
Yeah, I think that's the bigger game.
Dan Sullivan [01:06:53]:
Yeah, that's the—
Mike Koenigs [01:06:55]:
Going deeper with better, more coachable clients, just like you have. I mean, when you look at the distinction, And this is nothing more than just what it is when you go in and you see what Coach has with Free Zone people. They have a new operating system upgrade and they've spent enough time in the new operating system to have it rub off on them and have the success. So I see that as well. And it's something I can get excited by because the last thing I'd ever want to do now is start another mastermind. Not interested in that. But am I interested in exploring and enhancing? Yeah.
Dan Sullivan [01:07:49]:
The other thing is I just did a little test the other day, a little AI test, and I I chose energy. I chose energy. So I wrote a book about 2 years ago, a year and a half, 2 years ago. It was called The Great Meltdown. And MELT stands for money industries, energy industries, labor industries, and transportation industries. Those are the 4 factors.
Dan Sullivan [01:08:25]:
Okay.
Dan Sullivan [01:08:26]:
And I said, then I use energy efficiency, that if you add AI to all the energy systems in the United States, just using the American numbers because America is in warp drive compared to the rest of the world. I said, how many new jobs are going to be created just to use AI for energy efficiency over the next 3 years? And it's 500,000 new jobs.
Dan Sullivan [01:08:54]:
Wow.
Dan Sullivan [01:09:00]:
And that's the big thing that people are finding. It's not eliminating jobs, but it's adding jobs, but it's in specific— for specific areas. Money companies, money industries, you've already done that with equity firms. Then energy firms. And then people who are in the business of getting the right labor in the right place at the right time. And then transportation. Transportation is the big one.
Dan Sullivan [01:09:32]:
Yeah.
Dan Sullivan [01:09:33]:
Yeah. Yeah. I think it's exciting. I think it's very exciting. But Mike Koenigs doesn't change. He just keeps getting better and better. You're a prophet. You know what I mean? You're a prophet.
Dan Sullivan [01:09:46]:
You're a coach. You're a magician. You know? Let's keep Mike where he belongs to be.
Mike Koenigs [01:09:53]:
Yeah. Well, thank you. That's where he wants to be. This has been really useful. I'm glad I asked, and I'm glad you were able to do what you do, which is coach me through a thinking process and clarify. So it's nice to be— I think this episode, anyone who's watching this, they're the envy of this episode. So let's put this one to bed. How would you like to close this off?
Dan Sullivan [01:10:27]:
Yeah, well, I think there's technology and there's human nature, and one of them changes and the other one doesn't. Humans have had about half a million or a million years to kind of determine how humans respond to situations. And what they like is growth. I mean, the best humans love growth. They love greater productivity. They love greater creativity. They love greater profitability. Humans love that.
Dan Sullivan [01:11:05]:
But what will change all the time is the means, the technological means in which people can experience those great sources of energy. We just like growth. And I think the US is the country where it's blueprinted into the Constitution and everything else that makes the country work. And people who don't like growing are anti-American.
Mike Koenigs [01:11:38]:
And Yeah, and they won't be good entrepreneurs, that's for sure.
Dan Sullivan [01:11:44]:
Yeah.
Mike Koenigs [01:11:45]:
Well, good. Well, my take on this besides being immensely grateful for the coaching is it felt really good to get the confirmation about your sense of the model and how it fits, and then your ability to articulate it in a way that makes sense and adapt it. Of course, one of the big takeaways that I had been thinking about, it was like, I don't feel like there's a time for a reinvention for me. I don't want that either. I love the experience of what I'm doing and I like the new tools, but there's a different story here because There's definitely been a shift in mindset over the past year about what's happening to me, what's happening to my company, how AI is going to affect me. And I'm saying the global me. And there's, you know, as people have been using it now, they're trying to find like where it best fits in. And it's not just where does the technology fit, but where do I fit?
Dan Sullivan [01:12:59]:
Yeah.
Mike Koenigs [01:13:01]:
a tremendous amount of psychology that's out there both in the media and in the conversations I'm having right now. So this is just a confirmation that the answer to this is humanize AI even more.
Dan Sullivan [01:13:15]:
Yeah.
Mike Koenigs [01:13:15]:
And I'm really—
Dan Sullivan [01:13:16]:
All the money is going to be in humanizing AI. I mean, yeah. And because humans can say no, they just say, nope, nope. not doing that. And if enough of them say no, the technology doesn't go anywhere.
Ai Voice [01:13:33]:
Yeah.
Dan Sullivan [01:13:33]:
But my sense is that the number one human is the human at the center. And see, there's a difference between changing and learning. And I don't think you want to change, but I think you want to constantly learn. So what's the position you have to get into so that you're constantly learning so that you don't have to change.
Dan Sullivan [01:14:00]:
Hmm.
Mike Koenigs [01:14:02]:
Oh, that's a great distinction.
Dan Sullivan [01:14:05]:
Excellent.
Mike Koenigs [01:14:05]:
Well, let's end on that.
Dan Sullivan [01:14:07]:
Okay.
Mike Koenigs [01:14:08]:
This has been another exciting episode of Capability Amplifier with Dan Sullivan and Mike Koenigs. And Dan, you're awesome.
Dan Sullivan [01:14:15]:
Yeah, that's what I do.