The 7 Powers Of Business

30 Dec 2025 · 21 min · 8 chapters

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In short

Podcast Summary: Marketing School - The 7 Powers Of Business

Episode Overview In this episode of *Marketing School*, hosted by Neil Patel and Eric Siu, the focus is on Hamilton Helmer’s "7 Powers" framework, which outlines strategies for building a competitive business. The discussion transitions from traditional business strategies to contemporary applications in AI and vertical integration, emphasizing Google’s dominance in the AI space.

Key Topics Discussed The 7 Powers of Business The episode introduces Hamilton Helmer's framework of seven strategic powers that serve as competitive moats:

  1. Branding: The significance of strong brand identity (e.g., Coca-Cola).
  2. Process Power: Efficient business processes (e.g., Toyota’s manufacturing efficiency).
  3. Switching Costs: The challenges clients face when moving to another service provider (e.g., long-term contracts in agencies).
  4. Scale Economies: Cost advantages that businesses gain due to the size of their operations.
  5. Cornered Resources: Control over essential resources (e.g., owning a copper mine).
  6. Network Economies: The increased value of a service as more people use it (e.g., Facebook).
  7. Counter Positioning: Offering a unique pricing model or service that disrupts the market (e.g., performance-based pricing).

Application to Agencies and AI

  • Agencies: The discussion highlights how agencies can implement these powers to build a sustainable competitive advantage.
  • AI Moats: The hosts analyze the current AI landscape, noting Google’s comprehensive stack across applications, infrastructure, and silicon.

Vertical Integration in AI

  • Google’s Dominance: Google integrates various aspects of AI (models, cloud services, chips) more than competitors like Microsoft or AWS.

Leadership and AI Integration AI Fluency Initiatives

  • The importance of AI fluency in organizations is discussed, emphasizing the need to align KPIs with AI integration efforts.
  • Hackathons: The use of hackathons to boost AI understanding and fluency within teams is recommended.

Challenges in AI Adoption

  • The conversation highlights the pitfalls of “AI theater,” where organizations implement AI tools without measurable impacts on revenue or efficiency.
  • The significance of practical leadership in guiding teams through AI adoption and ensuring that efforts translate into tangible results.

Maintaining Competitiveness

  • Importance of adapting to new technologies quickly to avoid obsolescence.
  • The discussion also touches on the need for leaders to help their teams embrace AI rather than imposing expectations without support.

Key Takeaways

  • 7 Powers Framework: Provides clarity on competitive moats.
  • AI Fluency: Must align with KPIs for effective adoption and results.
  • Vertical Integration: A strategic advantage in the AI sector, particularly seen in Google.

Conclusion The episode wraps up with insights on perseverance in business, emphasizing the necessity of staying relevant and adaptable in a rapidly changing landscape. The hosts encourage listeners to foster an environment of innovation and openness to change within their organizations.

Transcript Highlights

  • The hosts discuss the 7 Powers framework in detail, with practical examples from various industries.
  • The conversation shifts towards the need for AI fluency and how to maintain competitiveness in the evolving market.
  • Anecdotes from their experiences illustrate the challenges and successes in implementing these strategies.

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This summary provides a comprehensive overview of the episode's discussions, frameworks, and actionable strategies for listeners interested in enhancing their business strategies and understanding of AI integration.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Exploring the Seven Powers of Business

0:45 to 4:20

Detailed discussion of the seven powers and their applications.

“So cornered resources would be an example of, let's say you own a copper mine or you own all the chips.”

Examples and Applications of Moats

4:20 to 6:50

Real-world examples of each power, focusing on branding and efficiency.

“Which is, I mean, this is interesting to me because this is end of year.”

Future of AI and Business Adaptation

6:50 to 9:30

Discussion on AI's impact on business and the importance of adaptation.

“So I stole my mom's credit card to sign up for MSN and I waited for her to leave and then I moved my computer over because I didn't have the extension for the phone cord and I plugged it in, right?”

AI Fluency and Team Collaboration

9:30 to 13:00

Strategies for improving AI fluency within teams and enhancing collaboration.

“yeah and when it comes to AI just make sure that you're helping out your team and not just putting it on them and just be like, you're expected to know everything.”

The Secret to Guaranteed Wealth

14:30 to 15:10

Discover insights on perseverance and sustained effort in business success.

“And I think it's worth it to talk about the secret to wealth.”

The Importance of Common Sense

15:10 to 15:38

Understand the role of common sense alongside persistence in achieving success.

“If you can just hang in there and keep compounding, if you're listening to this right now, you're definitely not a stupid person, right?”

Defining Human Stupidity

15:50 to 17:42

Explore the definition of stupidity and its impact on society.

“And that's why I said it in the earlier one.”

Common Sense in Business Decisions

17:42 to 20:14

Learn how common sense can affect decision-making and business outcomes.

“The first one is because they hurt themselves and they hurt others as well.”
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Transcript

Automatic transcript. May contain errors.

0:00I'll give you guys a little fun book that you can read. There's a book called Seven Powers and it's from this guy, Hamilton Helmer. And the whole book is this concept of these seven powers, these seven strategies. Okay. These, these moats that you can have. One is branding. Two is process power. Okay. Three is switching costs. And I'm going to explain each of these. Four is scale economies. Five is cornered resources and six network economies. Seven is counter positioning. So I'm going to start from the bottom. So counter positioning might be, um, like a performance based, uh, pricing versus retainer.

0:33So that's different than most agencies, as an example. Network effects would be like a meta, for example. The more people that use the network, the more valuable it becomes, like a Facebook or an Instagram, for example, or even a YouTube. So cornered resources would be an example of, let's say you own a copper mine or you own all the chips. For example, I think 97 % of making these really small chips are actually, you can only do that in Taiwan, for example, like these nanometer-based chips or whatever. Um, and then switching costs agencies. So we can talk about this for a second, but switching costs when, when you have, when you do a lot of things like, uh, like an agency and they signed a long-term contract with you and you're just kind of locked in, it's okay.

1:14If you do everything at like a B, you don't have to do everything at a plus, right? You do everything at a B ideally you're doing everything at a, but it's hard. Um, and then you have process power, like a Toyota, for example, they were everyone, every car manufacturer tried to look at Toyota back in the day. Um, like how did they do it? How did they, how are they so efficient? Right. Um, I would say Tesla kind of has that with their cars. Like that's the thing that Elon's actually most proud of, the manufacturing piece. And then finally, you have branding like a Coca-Cola, right? Now, when we look at agencies, what do we have?

1:40We might have branding. Okay, you might have like a WPP or Omnicom. There might be branding, but I think that's kind of slowly eroding. Not yet, but it's slowly over time. I think there might be process power, but I think there's switching costs for sure, which is why they can hang on to these deals for a long time or potentially counter positioning. But that's pretty rare in the agency world, like a center field, for example. What do you think about this? No, I'm with you, but it's hard to create that. Yeah, it is. Very hard. Really hard. That's the hardest part about it. Yep, yep. But, you know, sometimes the hard stuff is worth it, right?

2:10But if you have an engine that's working already, you should just double down on that. Did you hear about the Elon CyberCab video? I think he was talking about the production line, like five seconds or five minutes or something crazy like that. They can start building your car, soup to nuts. I don't know if that clip was AI created or not. sounds too good to be true but this is like all right that's kind of crazy to think about wait what do they can make a car in how long it was like five minutes or something like a cyber cab and what he was saying is it's more like electronics company manufacturing and they've just speeded everything i believe it did i think in a couple maybe in 5 10 15 years or so you and i i don't know about you and i we're not going to be the first round of this but we're going to be flying to china in 15 minutes in a rocket so yeah something like that i've seen that yeah And that was, I think it was Gwen's name, Shotwell.

3:01She's the president of SpaceX. This was like five, 10 years ago that she said this, and it's going to happen. So all that to say is the world's going to be crazy. And I think, speaking of moats real quick, before we move on from the topic of moats, who do you think is the AI leader right now that has the best moat? Google. Okay, so check this out. So this is done from Battery Ventures, okay, so VC firm. So early leaders are racing to vertically integrate. So what we're talking about, what Neil just actually mentioned is, why not offer a bunch of things? Like if you're a marketing agency, why not offer a bunch of things?

3:31You're basically, you want to control as much of the stack as you can, okay? So Google, at the application layer, they've got Gemini, okay? They've got AI search models. They've got Gemini, Gemma. Infrastructure, they have Google Cloud, okay? And then Silicon, they have TPU. So they have everything. They have their own chips. They have their own infrastructure. They have their own LLMs. They have their own applications. Microsoft is emerging. They have Copilot, the models, they use OpenAI, right? This is a partial presence. That's why it's in yellow. Infrastructure data, they have Azure, that's their cloud provider.

4:04And then Silicon, they're making this right now, Maya 100. Okay. But you just kind of go down the list over here. AWS is here, OpenAI is here, Anthropic, Cursor. The only one that's completely vertically integrated right now is Google. Yes. Although Google does use NVIDIA chips as well, but yes, they also have their own TPUs. Yep. Which is, I mean, this is interesting to me because this is end of year. I really recommend reading like battery ventures or all these kind of state of the AI and like how Tomas Tunguz had this predictions for next year predictions last year. I think it's really nice to stay on top of these things to see where things are going.

4:38And I just, you know, talking to Wade the other day, you know, you want to know what's interesting? They, okay, they started this AI fluency program and they actually, I said, how many people did you have to let go that? that, that, um, where they weren't into this stuff. How many, what percent of staff do you think he had to let go? 700 person org. 15, 20%. 10%. So still pretty high. Okay. So 10%. Um, originally their AI fluency was maybe 10 % or so. Once they, he said they launched a code red and he said, look, our, after maybe 12 months into it, our AI fluency went from 10 % to 80. Now it's at 87%.

5:14Now it's at 97 % actually. Um, and so all that to say, I was like, okay, what did you do exactly? He's like, well, we launched these hackathons. I was like, what did that look like? He's like, we basically shut the entire company off for a week. Nobody answered any tickets, nothing, right? And we just focused on driving AI fluency higher. I was like, how often did you do that? He's like, every four to six months or so. So I was like, okay, obviously one week is not practical for a lot of companies. And he's like, well, you can at least do one to two days and do this every three, four months or so.

5:41And I'm like, okay, that's a little more practical, right? But I don't know what the AI fluency level is for your company. but when I talked to one of our mutual friends, I was like, hey, what does it look like? And they have, let's just say they have a thousand people or so. He's like maybe 20%. And I just think that's unacceptable going into next year. And I've talked about it a lot. I just, now it's time to really, you know, make sure this is where the rubber meets the road. Yeah, 20 % is low. You want it much higher, but keep in mind more important than just, I wouldn't say it's more important.

6:13Just as important as fluency is how quickly they can adapt. And the reason I say this is AI is moving so quick with the different platforms doing different things. People need to be able to adapt super fast because if you're great at AI right now and you're stuck in using the same tools and you don't want to change, a year from now, a lot of them could be obsolete and you could just be doing things really inefficiently. When did you start using the internet? What year was it? Dude, I don't know. I was a little kid. I had a similar to you probably, but I think we had a similar story. I was using the battery dial-up internet that was connected to the phone line.

6:52So I stole my mom's credit card to sign up for MSN and I waited for her to leave and then I moved my computer over because I didn't have the extension for the phone cord and I plugged it in, right? So this is 1995 or 1994. I was eight or nine years old. And at that time, I couldn't fathom anybody not knowing how to use the internet, okay? Yet at the same time, you have people that were resisting, people saying, oh, the internet's gonna be a fad. you know, um, you know, uh, newspaper still the way to go, like these online publications, blah, blah, blah. I see this as this is how a lot of people are behaving right now.

7:20This is a fad. It's going to go away. Oh, it hallucinates. It makes mistakes, all these things. And so, you know, what we can do as leaders, if you're a leader listening to this right now is how can you bring people along for the journey and you can bring them to water, but you can't make them drink. And so that's why we're doing these office hours right now. We're doing these hackathons and we realized what these office hours, we made them optional. The first one didn't have that many people show up. And so my CTO was pissed, right? And so I don't know how you guys are doing it right now. You want to talk about your AI fluency program if you have one?

7:50I have no idea how we're doing it. I know we have one, but I have no idea how we're doing it because I'm not in charge of it. Yeah. Well, did you do that chat GPT thing, by the way, the end of year review? Did you see what kind of user you are? Uh-uh. I did not. Oh, dude, you got to check it out. You have it on your phone, right? Yeah, I do. I say you're like a top 10 % to 15 % user. That's what I think you are. No. Really? You think you're higher than that? Less. Open up your ChatGPT app on your phone, and then it should have a year-in-review thing and then hit play. But, you know, look, I think all this to say is...

8:23And the reason I say that is I use Gemini more than I use ChatGPT. Oh, you do? Okay, yeah, I don't know. But all that says, like, guys, I think speaking from two leaders' perspectives, I don't think we expect people to necessarily be power users, but come on, you have to help us help you at the end of the day, because to be able to automate away the work that you don't want to do, like we were talking to one of our designers this week and he's like, dude, with the work I can do, like if I can focus on this, I can do the work of, you know, he's maybe exaggerating a little bit about 50 or a hundred people or so.

8:54And he just, I want to automate a lot of the stuff. I'm like, so our CTO is like, why aren't you automating away this stuff? He's like, because I'm being told to do all these other things right now, which is kind of the old way of doing it. And I'm just like, dude, how do you not push back? and so all that to say is if you're within the organization too you got to push back if you guys are doing things in an antiquated way just say hey why are we doing it this way like why don't we try this way and try to drive AI fluency can't just come from the top it's got to come from the bottom too and one more thing I'll say about Wade is I was like hey who's driving a lot of this right now he's like actually it's the people team I was like really the people team is driving innovation with AI stuff he's like yeah so anyway food for thought yeah and when it comes to AI just make sure that you're helping out your team and not just putting it on them and just be like, you're expected to know everything.

9:43Like guide them, encourage them, set up internal groups. So I do know we have little pods and the pods call it, let's say five people max. They share some of the things that they're doing that are interesting every single week on a Friday for just 15 minutes and it helps everyone learn and it becomes more of a support group. and we've really found that that improves the percentage of people using AI to really move your KPIs. I'm not talking about efficiency and like, oh, you got more done at a time. Yes, that's cool and all, but what we really measure is KPIs. What are your key performance indicators?

10:20Are they going up and to the right because of AI? And we really put people in pods and we really have them focus on helping each other for their individual or division KPIs. Dude, and by the way, if you're a founder listening to this, so one thing that really, my C2 doesn't like it when I say this, but I'm like, dude, this stuff is so easy. Like when I open up a Zapier or a Lindy and I just dictate out what I want to build and it builds the agentic workflow. And Wade agrees with that when I asked him because they have something very similar with Zapier. He's like, yeah, it's super easy. So how do you, you know, you as a founder or a leader listening to this right now, you might be able to build these things.

10:58The challenge is you need someone to actually sit on top of and manage it. So I don't know if it's that GTM engineer or a workflow automation specialist. You need someone that's kind of walking around the organization, just asking people and almost pestering people saying, hey, like, what is what is something you're spending a lot of time on that you're repeating every week? That's taking a lot of time. And we should be thinking about every week how we can at least create some type of workflow to automate. And a lot of it's not going to work. Some of it will. But to Neil's point, you don't want a lot of this stuff to be theater, too.

11:25Right. Where it's just like, oh, it's just to appease the leaders to make it feel like we're using AI. that's not helpful either. It has to be related to your KPIs. When AI first started coming off, we had a lot of people that were doing all this cool stuff. And then we fast forward three to six months and we're like, wait, we're not seeing any change in the organization. Yeah, it's straight up theater. Neil, look, I used this tool, but like, okay, what did it do? Yes. And then it's like, look at all this cool stuff. Okay, there's no new revenue, no extra profit. Like, this is cool, but it's costing us money.

11:57Dude, at an actual point, no joke, I started seeing costs go up because we weren't seeing revenue go up from all these initiatives. And what we were seeing is them spending a lot of money on all these AI tools. And this is like, whoa, something needs to change here. Yeah. One thing I want to talk about too is if you've ever built a website, you know how tough it can be to keep a strong design while ensuring site performance is fast. That's where Framer comes in, and it totally changes the game. Framer is the design-first, no-code website builder that lets anyone ship a production-ready site in minutes.

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14:13Sign up for your$1 per month trial and start selling today at Shopify.com slash marketing school. go to shopify.com slash marketing school. That's shopify.com slash marketing school. Hear your first this year with Shopify by your side. You know, I was listening to Jensen Huang talk with Joe Rogan, okay? And I think it's worth it to talk about the secret to wealth. And it's the secret to guaranteed wealth, really. So you listen to a Jensen talk, for example. He's like, two things you need to succeed. One, don't get fired by your board if you have a board, okay? Second one is don't give up. And then I look at UiPath.

14:49You look at UiPath, you know how long they took to hit 1 million ARR? No. 10 years. 10 years. UiPath's that old of a company? Yeah. It took them 10 years to hit 1 million ARR. Figma, how long did it take them to get product market fit? I think it was like seven or eight years or something like that. So the key thing is really you want to stay alive long enough to get lucky. That's all it is ultimately. If you can just hang in there and keep compounding, if you're listening to this right now, you're definitely not a stupid person, right? Actually, I read a book on human stupidity. I want to talk about that in a second too.

15:18But I think Neil and I have realized that, again, you don't necessarily need to be the smartest person in the room. I'm speaking for myself, really. As long as you keep going, you will get lucky enough to hit it big. And I'm not saying you're going to be a billionaire or whatever. I don't know. But you're going to have outsized returns that your 18-year-old self would really be proud of. But I think it's not just doing it long enough. And, yes, don't get me wrong. I do think a lot of people get lucky. You just have to also have some sort of common sense. or it makes it hard if you don't. Yeah.

15:49Okay, let's talk about the laws of human stupidity. So you'll like this, you'll like this. How would you define stupidity, Neil? Someone not having common sense. And that's why I said it in the earlier one. I'm like, dude, I see a lot of people who go after it for 10 years and I know they'll never do well because they just don't have common sense. Okay, so this definition is really good. You'll like this. I didn't think of it this way. So in this book, the definition of a stupid person is someone who harms other people for no gain to their self or actually they're detrimental to themselves, okay?

16:23And if you think about it, there's four different people in life, okay? You have stupid people, which we just talked about. You have intelligent people. So intelligent people will produce for others. They'll help others, but they'll also help themselves, okay? Then you have bandits. Bandits will steal from you, okay? So bandits will help themselves, but they'll steal from someone else. A helpless person is someone who helps others, but can't help themselves. So for example, You have someone who likes to play hero bar that doesn't know how to delegate in your company, and then they burn themselves out.

16:49Okay? That's a helpless person. So of these four people who I mentioned, Neil, which one actually harms society the most? Is it the bandit? Is it the helpless person? Is it the stupid person? It's definitely not the intelligent person. Which one is it? Okay. I need to slow down a little bit. I'll slow it down because I think I spoke too fast. I'm going to give it before again. Okay, ready? Okay. So you have four people in society. Okay? You have the stupid people who, again, they harm others, but they don't help themselves or they even harm themselves. Got that? Second one is you have the bandits.

17:23So bandits like I steal from you to benefit myself. And then you lose. So I win, you lose. Then you have the intelligent people. The intelligent people will help themselves and they'll help other people. And then the last one is helpless people who help other people, but they don't help themselves. So which people hurt society the most? The first one is because they hurt themselves and they hurt others as well. The biggest problem, though, is you can't triangulate. You can't predict. Like with a bandit, you can predict their behavior. With a stupid person, you can't predict their behavior. And the other thing with this book, too, is it doesn't matter if you're a Nobel laureate or you're in a group of billionaires or decamillionaires or whatever.

18:01There's always stupid people at every level. There's an exact fraction at every level. So it's the stupid people that hurt society, not the bandits. Because if you're in an abandoned society, everyone just steals from each other. The society doesn't get better. So it's a great book. I'll give you an example of common sense. This is what I mean in business. I was talking to a friend who has a SaaS product, okay? And he's trying to optimize his plans and pricing to get the most conversions and generate the most revenue. so i asked him hey how many signups do you get on your uh highest plan he said two three a day all right i think his highest plan is like 499 dollars uh uh a month it's a free trial though right so they don't all cover it i was like okay i was like what are your total signups per day i was trying to equate the percentage he then made a price change and then i was trying to look at the numbers.

19:02I'm like, just send me the total amount of signups and the percentage that are choosing the highest plans and the trial conversion rate. And he's like, well, on a weekly basis, we get around 100 and something people who choose the highest plan. And I'm like, new signups? Right? I'm not talking about existing customers. He's like, yeah, new trial signups. I'm like, so how do you go from two to three a day? Right? Because two, three a day times seven is not got 100 plus signups at the highest plan. And they're showing me data from their database of hundreds a day. And I'm like, this is what I mean by common sense.

19:42If you as an individual can't just see there's something wrong with the data, I'm not saying you get 100 plus a week or you don't. I'm not saying you get one, two or three a day. Something is off, right? But common sense will tell you that something is off. When they send it to you and they don't question the data this is like oh you lack common sense got it anyway i i thought i thought that was that was entertaining um and it by the way that book it'll probably take you like an hour to read it so it's a really entertaining but in fact i'm gonna bring it next time so you can you can read it it's it's fun you'll like it hope you guys have a happy holidays and amazing years eric and i wish you amazing 2026 yeah we'll see you in the new year bye

20:30you

From the publisher

Neil and Eric break down Hamilton Helmer’s 7 Powers framework for building a durable competitive business: branding, process power, switching costs, scale economies, cornered resources, network economies, and counter positioning. They apply these strategy concepts to agencies, then shift to AI moats and vertical integration, noting why Google stands out across the AI stack (apps, models, cloud, and chips like TPUs). The conversation closes with practical leadership lessons on AI fluency programs, hackathons, KPI-driven adoption, and avoiding “AI theater” so automation actually drives revenue and profit.

Key takeaways:

-7 Powers = clearer moat strategy

-AI fluency must move KPIs

-Vertical integration wins AI stacks

Chapters

(00:00) 7 Powers moat framework

(00:26) Counterpositioning examples

(00:36) Network effects and platforms

(00:47) Cornered resources explained

(01:04) Switching costs in agencies

(01:22) Process power in manufacturing

(03:12) AI leader and best moat

(05:40) AI fluency hackathons

(10:35) KPI-first AI adoption

(12:30) Don’t give up, stay alive

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