In short
Podcast Episode Notes: Are You Just An AI Slop Cannon?
Podcast Overview Title: Marketing School - Digital Marketing and Online Marketing Tips Hosts: Neil Patel and Eric Siu Description: A daily podcast offering actionable insights on various digital marketing strategies, including SEO, content marketing, and social media.
Episode Summary In this episode, Neil and Eric discuss the implications of Artificial Intelligence (AI) on the workforce and the emerging K-shaped economy. The conversation focuses on the distinction between high agency leaders and low agency workers, emphasizing that mastery of AI is crucial for maintaining competitive advantage. The hosts explore themes around agency churn, the future of work, and the importance of judgment in an AI-driven world.
Key Takeaways
- High Agency + AI Wins: Individuals who demonstrate high agency (proactive problem solvers) and effectively use AI are likely to thrive.
- Talent Amplified by AI: Integrating talent with AI tools can scale effectiveness and productivity.
- Automation Without Judgment Fails: Relying solely on automation without critical thinking and decision-making can lead to poor outcomes.
Episode Chapters
- (00:00) K-Shaped Economy Explained
- Introduction to the concept of the K-shaped economy, illustrating how AI is reshaping economic structures.
- (00:58) High vs Low Agency
- High Agency: Proactive individuals who take initiative and solve problems.
- Low Agency: Individuals who prefer structured environments and may not push for results.
- (02:24) AI Wealth Divide
- Discussion on how AI mastery creates a widening opportunity gap between those who can leverage AI and those who cannot.
- (05:12) AI Amplifies Talent
- Emphasis on the importance of pairing talent with AI tools to enhance productivity and decision-making.
- (11:21) Agency Churn Debate
- Analysis of agency churn rates and the challenges faced by traditional agencies in adapting to AI advancements.
- (23:28) Slop Cannons vs Turbo Brains
- Examination of the two types of workers in the age of AI: “slop cannons” (ineffective users of AI) and “turbo brains” (effective users who capitalize on AI’s capabilities).
Detailed Discussion Points
K-Shaped Economy
- Definition: A visual representation of economic disparity where one group of individuals flourishes while another declines.
- AI's Role: AI technology accelerates this division, allowing high agency individuals to propel their careers while low agency individuals become more dependent on AI management.
High vs Low Agency
- Characteristics of High Agency Individuals:
- Proactivity
- Problem-solving skills
- Resilience
- Low Agency Traits:
- Preference for stability
- Tendency to avoid risks
The Impact of AI on Employment
- Mastery of AI as a Necessity: Those who do not engage with AI risk falling behind in the workforce.
- Opportunity Gap: The divide between high agency workers who effectively use AI and low agency workers who do not engage with AI technologies.
Agency Churn
- Current Trends: High turnover rates in agencies due to ineffective adaptation to AI.
- Agency Structure: Traditional agencies face challenges in retaining talent and competing with AI-native companies.
Slop Cannons vs. Turbo Brains
- Slop Cannons: Workers who misuse AI, producing poor-quality work and contributing to information overload.
- Turbo Brains: Individuals who effectively utilize AI tools to enhance their productivity and deliver meaningful results.
- Importance of Judgment: Critical thinking is paramount in distinguishing effective use of AI from mere automation, ensuring that outcomes remain relevant and valuable.
Conclusion The episode underscores the urgency for individuals and organizations to adapt to AI's transformative impact by fostering high agency and critical thinking. The discussion serves as a call to action for marketers and business leaders to understand and leverage AI effectively rather than relying on it solely for automation.
Additional Resources
- Subscribe to Marketing School: For daily insights into digital marketing strategies.
- HubSpot: Mentioned throughout the episode as a tool that helps businesses utilize their data effectively.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOUnderstanding the K-Shaped Economy
0:36 to 2:36
Explore the concept of the K-shaped economy and its implications.
“is like dating someone who only texts emojis.”
Agency Dynamics in the AI Era
2:36 to 5:52
Discussion on how AI impacts agency roles and employment.
“And so I wanna review what that is and talk about where that's going.”
The Dual Nature of AI in Work
5:52 to 9:26
Examine how AI amplifies both productivity and laziness.
“because people are just growing so fast right now.”
Personal Productivity with AI
9:26 to 10:35
Personal story about increased productivity through AI during a haircut.
“I was getting a haircut before I flew out to Florida on Sunday, right?”
Security Concerns with AI Tools
10:35 to 13:00
Discussing the security issues surrounding AI tools like OpenClaw.
“So David Hensel, you know, he we used to play a game together.”
Agency Churn and Adaptation
13:00 to 14:01
Insights into agency churn rates and the need for adaptation in AI.
“we're already working on a SOC 2 compliant version.”
High Churn Rates in Agencies
14:01 to 15:27
Discussing the alarming churn rates in agencies and the lack of strategic plans to address it.
“So I was like, okay, so what's the deal right now?”
Agency Talent and Performance
15:28 to 17:44
Exploring the differences in talent quality between agency workers and tech industry professionals.
“Yeah, I could see how startups and smaller business are going to be more innovative because they don't have all the legacy, archaic bull crap to deal with or politics.”
The Role of AI in Agency Performance
17:45 to 20:38
Analyzing how AI influences the performance of agencies compared to traditional models.
“But he made some other interesting points here.”
Challenges Facing Marketing Agencies
20:39 to 24:34
Identifying the challenges marketing agencies face in a rapidly changing environment with AI.
“It's in their benefit to just go and get it.”
Show all 12 chapters
The Slop Cannon Metric Explained
24:35 to 28:01
Introducing and illustrating the 'slop cannon' metric to discuss the impact of AI and talent on productivity.
“Some of them, especially as they scale and they get really big to like 10, 15 billion in revenue, you do have some amazing talent, but the majority of their talent is mediocre and average.”
The Misuse of AI in Marketing
28:01 to 29:55
Learn why using AI to create unoriginal content can harm your marketing efforts.
“And the logo is straight up a ripoff of my ad agency website.”
Transcript
Automatic transcript. May contain errors.0:00Eric Siu:Did you know that most businesses only use 20 % of their data? That's like reading a book with most of the pages torn out. Or paying for coffee that's one-fifth full. Point is, you miss a lot. Unless you use HubSpot. Their customer platform gives you access to the data you need to grow your business. The insights trapped in emails, call logs, and transcripts. All that unstructured data that makes all the difference. Because when you know more, you grow more. And when you get a full cup of coffee, you can do more too. But I digress. Visit HubSpot.com today.
0:35Eric Siu:Using only 20 % of your business data is like dating someone who only texts emojis. First of all, that's annoying. And second, you're missing a lot of context. But that's how most businesses operate today, using only 20 % of their data. Unless you have HubSpot, where all the emails, call logs, and chat messages turn into insights to grow your business. because all that data makes all the difference. I would know because I use HubSpot at my company. Learn more at HubSpot.com.
1:07Eric Siu:Being a know-it-all used to be considered a bad thing, but in business, it's everything. Because right now, most businesses only use 20 % of their data unless you have HubSpot, where data that's buried in emails, call logs, and meeting notes become insights that help you grow your business. because when you know more, you grow more. See, being a know-it-all isn't so bad. Visit HubSpot.com today to learn more.
1:34Eric Siu:Nobody likes a spoiler unless it's your customers telling you exactly what they need. But too bad most businesses miss out on these signals. The hits dropped in emails, the messages hidden in call logs and chats, all of it trapped in the digital ether. But with HubSpot, you get all this data in one place. Their customer platform brings together are the insights you need to grow your business. And spoiler alert, the more you know, the more you grow. Visit hubspot.com to find out how today.
2:07Eric Siu:Cutting your sales cycle in half sounds pretty impossible, but that's exactly what Sandler training did with HubSpot. They used Breeze, HubSpot's AI tools, to tailor every customer interaction without losing their personal touch. And the results were pretty incredible. Click-through rates jumped 25%, qualified leads quadrupled, and people spent three times longer on their landing pages. Go to HubSpot.com to see how Breeze can help your business grow. I think a week or two ago, we talked about the K-shaped economy, right? And so I wanna review what that is and talk about where that's going. And then I found another article yesterday talking about the headline is, you've been kicked out of the arena, you just don't know it yet.
2:47Eric Siu:Because everyone's talking about, you gotta be the man in the arena and all that, right? But people are just like, no, you've been kicked out of the arena, know you just don't know yet and I want to get your reaction to that okay so let me share the for my first screen here and I apologize I'm on a laptop so I hope this doesn't break Neil can you see this okay yeah okay cool so I'm gonna show the graph first so it says look this is the k-shaped economy okay so basically what you're seeing on the screen over here is you're seeing a line you're seeing a graph okay and then chronologically it's just like one line but then that line diverges into one that scales up.
3:23Eric Siu:The graph goes up and then the line graph goes down. That's where it splits off. That's why it looks like a K. So you have high agency, which is the bifurcation point where it's moving up. And these are high agency plus AI mastery people. Then you have low agency people who are managed by AI. So, and I literally think this is -
3:43Neil Patel:Before you go into it, do you want to explain high agency, low agency? because Eric here is not talking about ad agencies or marketing agencies. If anyone's listening and can't see the graph.
3:52Eric Siu:Oh, totally. Dude, I got to give you some insight. I spoke to one of these ad agency people too. He works with a holding company. So we should talk about that. But on the agency side, okay, high agency means that if you're a high agency person, that means that you're someone that's very proactive. You get things done and you just figure things out, right? Like, you know, everyone knows those people. You're very resilient. you're very um you have a very strong bias to action am i making sense there yeah you're you
4:19Neil Patel:execute you're a go-getter you don't procrastinate you don't wait for someone to tell you what to do
4:24Eric Siu:you just go and do stuff on your own and the world revolves around these people people are attracted to these people right um low agency is like okay maybe you just want to you're the exact opposite maybe you don't want to have a bias to action maybe you just want to chill right maybe you just want a nine to five which is okay right maybe maybe you're in a different phase of your life but that's lower agency you're you don't want to get things done that quickly um so his point here is that in 10 years there's going to be two classes of people so economists call it the k-shaped economy and the next three two to three years will decide which line you're on so i don't think there's a lot of time here right so um you're going to have an overclass that uses ai as a lever to build wealth automate income and make decisions at a speed that no human can compete with alone and then you're going to have an underclass that gets managed by it so imagine this like you need uh not you need um neil when um because you've worked as a janitor before right and i've worked um at like i think i've worked at a fast food restaurant no no no i worked at circuit city before you worked at you clean right let's see i clean toilets yeah you clean toilets right so so my my point is you know if you're a toilet cleaner in the future you're probably going to get managed by an ai right like early in your career like you know the data entry job that I was doing my first job out of college, I'd be managed by an AI.
5:36Neil Patel:So what this graph is just saying is there's a K-shaped economy, or what's the overall point?
5:42Eric Siu:The overall point is you're going to see with high agency people are going to like be the ones managing the AIs, and then low agency people will get managed by AIs. That's the entire point, because people are just growing so fast right now. Yeah, yeah.
5:56Neil Patel:Yeah, when I look at the K-shaped economy and like the graph, I look at even pre-AI, we were already heading to a K-shaped economy,
6:05Eric Siu:I think AI just accelerates it. Yeah, completely. And, you know, we kind of talked about this before, but, you know, I said that money amplifies your nature, AI amplifies your intelligence. And what's interesting is that, you know, a lot of people here see the same thing, right? And we're kind of talking about that right now. So to close out this point, he says, this guy Miles says, if you're reading this now and you haven't built systems with AI, haven't automated a single workflow, haven't used it to create anything that makes you money or makes you irreplaceable, you are currently on the wrong line that's not an insult you have the agency right you have the will your own willpower to change your trajectory right now but six months from now the gap will be twice as wide and a year from now it might not be crossable and i actually see that and what i'll say to everyone listening to this is if you're looking for a job right now and you're into this stuff both neil and i are hiring and we're looking for people with amazing agency because to neil's point earlier everything is a talent game more than ever now everything is a talent game that i I think the AI stuff actually reinforces the need for strong talent.
7:03Eric Siu:Because last week we did an episode talking about slop cannons. We need to hire people with good judgment. Everything is downstream of hiring.
7:10Neil Patel:One of my favorite AI quotes is actually from Eric. And he said it either a week ago or two weeks ago when we were recording the podcast. A brings out the best in you or the worst in you. And I 100 % agree with what Eric said. And I love that quote. And I've been using it. in which if you are a player and you're just a go-getter, you execute on your own, AI just makes you even better, more dangerous, more valuable. If you're lazy and you don't like working, AI brings out the worst in you in which you try to figure out how to get AI to do as much of your job as possible. And I see marketers being like, oh, look at this.
7:53Neil Patel:It created a website for me. It's creating content for me. It's doing outreach to try to build links for me. And they're like, this is great. Look how much of my job I automated. And then they're telling me like, yeah, this technology is amazing. Everyone needs to use it. But then I see what they're doing with their time. They set up a lot of these systems and tools to help them out. So that way they can go run around and take photos or go travel or hike or whatever they want. And I'm like, so you're telling me I don't need to pay you? Now, the people who are showing me this are friends and they don't really work for me.
8:31Neil Patel:But it's just like, if they show that to me and they were working for me hypothetically, I'd be like, so you're telling me you want to get paid to not work? And yes, it's great how you can use AI to do a lot of stuff, but you should be using your time for other things that AI is not as great at. And when people have the attitude of, oh, I just automated everything so I don't need to work. It's just like, those are people who are just going to be replaced. and they're not going to be backfilled. And AI really does bring out the best in people from what I've seen and the worst. And people need to have the right mentality in which it's a great tool.
9:07Neil Patel:It can do a lot of what you're doing and make you more efficient and do even some things better. But that opens up a lot of time for you to do other things. If you decide to use that time to do other things like personal stuff and expect to get paid for it, You're in for a reckoning.
9:26Eric Siu:Dude, you know what's crazy? I was getting a haircut before I flew out to Florida on Sunday, right? And this is the first time I got a haircut before I was using Open Claw. And so with my barber, typically we just kind of, you know, I'd be, you know, doom scrolling on my phone. And we'd be kind of, you know, talking about whatever, like small talk, or, hey, what video games are you playing right now? Blah, blah, blah. How's your family? Right? That type of stuff. This time, as he's talking to me, I'm not doom scrolling. I actually ended up shipping like when I say shipping like the my open call was doing a bunch of tasks so he cuts my hair takes 30 minutes or so in that 30 minutes I pushed it to do seven tasks right whereas before I well like these are like tasks like a typical human would do right um whether we're like strategizing on things or like doing a prd or something like that right um I'm like holy crap and I think it's like before I'm going like Neil talking about AI being an amplifier before I'm going to bed, I'm like on my phone, like it's like 7pm because we're done with dinner and all that.
10:23Eric Siu:Right. And then literally until 1030pm, I'm on open call. I'm just pushing stuff. Right. And so I'm saying that I've never had more fun at work, but also like I've never worked harder either because the entire thing feels like a video game now. And I saw David Hensel. So David Hensel, you know, he we used to play a game together. So he was I was 12 years old or so. And he was like, I think he's like 21 years old or something like that. We played a game called EverQuest. and I'm like dude this is just like EverQuest he's like it's exactly like EverQuest it's like World of Warcraft right I'm like holy crap you can literally build whatever you want whatever you want and it's only going to get crazier from here and um that's why it's so exciting so I I literally show them all open claw and a lot of them are using cloud code some of them are like maybe one or two people are just on chat GPT but we all feel behind and that's every single day but we all know that there's no time to slack off like now's the time to press like even harder yeah
11:17Neil Patel:And when you look at OpenClaw, a lot of people are telling me like, oh, I can't use it because I don't have a Mac Mini. Well, you can just spin up an AWS instance and just pop it on there. You don't need a Mac Mini.
11:27Eric Siu:I would be scared. That's the only one word of caution there. I'd be concerned with the security items there. No, no.
11:33Neil Patel:You sped up a whole new instance and a whole new account on AWS.
11:37Eric Siu:Yeah. So the way I have it set up, right, when you put it on AWS or like a virtual private server or something like that, There's a lot of security issues around it. And even the way I have it set up right now on a Mac Mini, it's not bulletproof. So I would just say with OpenClaw, like it's nice and I use it. I'll use it for my own stuff, but we definitely wouldn't use it for clients because there's too many security issues. And so we want like a SOC 2 compliant version, and which is something that we're actually actively working on building right now. And we just want to manage it ultimately because people like your clients, ultimately like our clients, they don't care if it's OpenClaw, clothes claw or like whatever it is exactly right they just want outcomes they just want outcomes
12:18Neil Patel:yeah and if you're going to use it on an amazon instance you shouldn't be using it for anything sensitive anything customer facing you should just be using it for testing and experimental experimental stuff in my opinion and wait for open ai who has a deal eric called it on our last podcast you remember you were saying like yeah the open claw founders in san francisco probably doing a deal with, you know, like one of these big companies like OpenAI or Anthropic or one of them, I forgot which ones you were naming, or Facebook, and he ended up doing a deal with OpenAI. And I'm waiting for OpenAI to release a version that's safe for us to all use.
12:55Neil Patel:And then it's on. Yeah, we'll see.
12:58Eric Siu:I mean, it's, you know, we at SingleGrain right now, we're already working on a SOC 2 compliant version. And there's a handful, like Manus, for example, which is owned by Meta. but they kind of have their own version of like an agent as well. So I think a lot of these are moving into this space. So we'll see what happens. But the one thing I wanted to call out too, actually, this will be interesting, Neil. And then I want to come over to this article. So I met with someone at one of these, Google. Okay, so I met with someone at Google and he actually manages some of these hold co relationships, these traditional agency hold co relationships.
13:33Eric Siu:He works directly with some of these CEOs. So I think you would find this interesting because this is your space. So I want to get your reactions to some of these and kind of go from there. Are you ready?
13:43Neil Patel:Mm-hmm. So to be clear, this is a person you met that is a Google employee. Mm-hmm. And then he deals with all the agencies and he specifically deals with the agency CEOs and stuff like that.
13:55Eric Siu:Yeah, some of these agencies hold co-CEOs. And I think there's a handful of these types of people, but very smart guy. And I've known him for a while. So I was like, okay, so what's the deal right now? And I was just, I'll kind of fill you in on the conversation. I was just like, okay. He's like, dude, Eric, the churn right now, these hold co-says their churn is 20 % annually. It's more like 30 % and the churn is going up. And so he's like, when I talk to these hold co-CEOs, I'm like, what are you guys going to do about this churn? Because the churn is really high, right? And none of them have a plan.
14:25Eric Siu:I'm like, none of them have a plan? He's like, yeah, none of them. All their plan is to grow top line right now. It's just continue to grow top line. And he's like, the problem that I see with a lot of these agencies is that they're not AI native, right? And so he's like, you guys are like, you know, AI native, or at least he perceives me to be, right? And so he's like, they're going to have, because the way they're structured, they used to throw people out. The problem was a labor arbitrage. That arbitrage is not going to work as well in the next, you know, five, 10 years or so. And so he's like, and also I'm like, I was like, hey, entertain me here.
14:58Eric Siu:Cause he used to work in tech. He used to work in SaaS. He used to work in e-commerce. I was like, hey, you've worked in all these industries. What percent of these people do you find impressive on the agency side? He's like, honestly, I don't look forward to having most of these conversations. Maybe only 5 % of people are impressive on the agency side, which we've kind of joked about, right? I was like, okay, well, entertain me here. On the e-commerce side, on the startup side, on the software side, what percent of people are generally impressive, right? He's like 15 % to 20%. So that's three to four times more.
15:27Eric Siu:So I'll pause for a second. What are your reactions to this so far?
15:30Neil Patel:Yeah, I could see how startups and smaller business are going to be more innovative because they don't have all the legacy, archaic bull crap to deal with or politics. So they can do more innovative stuff. But the first reaction I get when you're telling me all of this is, this person doesn't seem to enjoy their job. They should go find a new job. Could be, could be. But that's my first reaction. On the churn metrics, it depends which companies you're talking about. But you have to keep in mind, some of them are publicly traded. So I doubt that they're fudging their numbers on churn. He may not be talking about all publicly traded companies, and I'm assuming that is the case.
16:11Neil Patel:But the publicly traded ones, I don't think they're churning at high numbers, like 30 % and stuff like that. what people tend to forget and this is the big thing about agencies um and i saw eric on an x thread about this you were debating with someone okay uh about this conversation yeah yeah so the thing with agencies is agencies are hired for people more than anything else so if you're a company, a big organization like Procter & Gamble, and you're looking to figure out things, you're hiring Accenture or McKinsey to help you with AI in many cases. You agree with that statement, right? If you look at Accenture and McKinsey, their businesses in some areas are struggling, but the AI parts are booming.
17:03Neil Patel:And we see the same thing in marketing. People, and it goes back to the topic Eric and I talked about earlier, where it's all about hiring and the quality of people that you're recruiting, right? You just want amazing talent. So a lot of companies, what they do is they hire agencies because they have amazing talent. Not all agencies do, but the ones that do have amazing talent tend to do well because people hire you for the people and they want you to just figure out their problems for them. I'm not saying that'll always be the case, but that has been the case historically. And I believe that's going to be
17:38Eric Siu:the case over the next few years at least. I think that's always going to be the case. People want something to just do to work for them, something or someone. But he made some other interesting points here. So he's like, one, you know, I'm like, so what do you see agency people as? And so they are hiring from the people, right? But he's like, now there are no longer any differentiators. He's like, these agencies are just literally like budget managers. And I was like, okay, so explain, like, why do you think that? He's like, dude, I shared this in the thread, but he's like there are software companies in india that will go to like an agency like maybe a proctor and like oh you're proctor and gamble you're working with this agency over here what what's your you know what are they charging you right it's like could be you know 10 15 20 sometimes 5 in terms of ad budget um you agree with that yes uh-huh okay so he's like oh let's say hypothetically some some agencies charging like you know uh 10 or 15 he's like okay well oh, if you're paying 10 % or something like that, how about we just charge you 4%, right?
18:38Eric Siu:And he's seeing these upstarts in India with whatever software that they have, they're taking hundreds of millions of dollars of budget away. And he's like, dude, he's like, this is just gonna continue to happen on the AI native side. I'm like, so what are people gonna do? He's like, unfortunately, and he does, I think he does like his job. He works with really smart people, but he's like, dude, even people at Google, very smart, they don't wanna rock the boat and they don't wanna change anything, right? And so they'd rather not rock the boat and say, hey, these things are changing. They're just like, let's just keep it how it is.
Read the full transcript
19:07Eric Siu:And that's why some people are like, yeah, maybe it's going to take a little longer for UBI to come, or in your case, maybe not at all.
19:14Neil Patel:So I'm in a little bit of a different camp than this Google person. And this is just my own take. I've spoken at Google's offices a lot, at many different offices all throughout the world. Google and Facebook, I'll throw them also in the same bucket. it, they're really big on they will build a technology that'll do all the bidding and everything and they can leverage AI. And Mark Zuckerberg's even gone out being like, why do you need agencies? I don't know if you've heard him say that, but yeah, he's big on that. And from their perspective, just think of it this way. Let's say you're paying someone 10 % to manage your ad spend.
19:52Neil Patel:In many cases, it's more. It's very rarely less unless you're spending an arm and a leg because it's hard to do it at 5 % and actually make it profitable. Facebook and Google rather have that money go to them. Imagine if everyone was spending an average of 10 % more. If Google does over 200 and something billion a year just in ad spend revenue, let's just use the 200 billion. I know they do more than that in ad revenue. If they did 10 % more, that's extra 20 billion. that straight drops to the bottom line and that's pure profit. They would go from$116 billion a year to$136 billion a year in pure profit.
20:37Neil Patel:That's a lot of extra cash. They would love that money. It's in their benefit to just go and get it. Now, keep in mind, I'm biased and I would say Eric's also biased because we also run agencies. So we're on the other side of it. and we've seen companies just leverage the technology and we have a lot of clients who use the AI Max, PMAX and the list goes on and on and when we put a human in the loop including our fees in all cases where we have customers paying us because if we can't do this a customer doesn't keep paying us we produce a better ROI than them only using the AI tech that Google and Facebook are giving so when we charge fees it is black and white Because you have to remember, we're dealing with business people, CFOs, finance people.
21:24Neil Patel:And I'm going to use basic, simple example here. If a company is spending$10 million on ads, and that$10 million brings in$40 million in revenue, not profit, just$40 million in revenue, and let's say it's profitable for them. And now they're spending$10 million, and you, Neil, are taking$1 million in fees. All right? So let's say they're spending, let's just keep it simple. Let's say instead of spending 10 million on Google, you're spending nine on Google and they're spending a million to you. If you generate them 40 million in revenue, they're not happy. They better see 45, 50,$60 million in revenue.
22:08Neil Patel:So then that way it's a financial win for them. And we're able to do that for customers. And I'm assuming Eric is also able to do that for customers because if he wasn't, he's shaking his head that he is. If he wasn't, he would be terminated. Right? But we're seeing companies, and we've seen this already, them going to not just places in India. We see this also in the US. Companies make the pitch how they can use AI and do this for them in an automated way and charge 1%, 2%. We're not even seeing 5%. We're seeing 1%, 2%. And we've actually seen some of our customers switch. We've seen three switch so far in the last six months.
22:47Neil Patel:from this. And of the three, what do you think's happened if you had to take a guess, Eric? A percentage are coming back. You're right. Two have come back. The third one has not hit us up back yet. The third one ended up switching. Dude, we just had a conversation on this on Tuesday. This is Thursday as we're recording this, but we go over lost accounts. So internally, every week we go over loss accounts that we performed exceptionally well and is in their best benefit to come back. And the reason we cover this is, you know, we have game plans on how do we get them back over time? Because if something is better for the client and it's a better financial pitch for the client, you should be able to convince them logically to come back over time.
23:33Neil Patel:The one that hasn't come back yet, it's been roughly two and a half months. And, you know, with campaigns, you can analyze and see some of the data publicly, not all of the data. But I believe we'll be able to, maybe they don't come back to us because they didn't like the fees, but it was more profitable than what we believe they're doing right now. But I believe they'll make a change within another month or two. And the reason being is even if someone's cheaper, but in the grand scheme of things, Again, if you were spending, instead of spending$10 million on Google and then you switch to us and then you're saying, oh, we're spending$9 million on Google and$1 million with NP Digital, but we're generating more revenue.
24:16Neil Patel:Oh, we found another company that's just using AI. We can spend$9.5 million with Google and they're only going to take$500 ,000 in fees. Oh, this gets us more out of inventory. But then your revenue starts tanking. you're going to start questioning some things and you're going to end up starting to make changes we're finding not technology being bad we're finding the winning combination being technology with a players in other words rock stars combined with ai and i think that's the caveat when eric talks about agencies or this google person talks about agencies and we're not talking about our agencies we're talking about other people's agencies Some of these agencies have amazing talent.
25:01Neil Patel:Some of them, especially as they scale and they get really big to like 10, 15 billion in revenue, you do have some amazing talent, but the majority of their talent is mediocre and average. And what we're seeing is the agencies who are focused on hiring amazing people and not bloating their headcount, they're doing well when they combine AI. The ones that are just hiring for the sake of hiring, those are the ones that are struggling right now. Yeah.
25:27Eric Siu:So the thing I want to bring up is there's that two by two, you know, the matrix again. I'm going to pull this up one more time just so everyone can see it. So let me, okay, here it is.
25:38Neil Patel:The swap cannon metric? Yeah.
25:40Eric Siu:Sorry. So I think it's important to call out because this is exactly what we're talking about, right? So this is what I have on the screen over here. So this is a two by two, those of you that are just listening. So on the very bottom left, you have people who do not use AI and people who do not have good judgment. These, unfortunately, this is dead weight on your company. Now, let's say if you have someone who has poor judgment and they use AI, that means they become slop cannons, which means they just add a bunch of gunk and garbage to the Internet because they're just lazy in the way that they use it.
26:13Eric Siu:Now, if you move to the bottom right here, you have people who have good judgment, but they don't use AI right now. So these are people, at least for right now in today's day and age, these are steady hands. Okay. So these are people that are, you know, they're going to get the job done overall, but they're not enhanced by AI. But if you have someone that has good judgment and they use AI, these are turbo brains. They're supercharged and they get things, they get way more done. They're already smart people anyway. These are the people that you ultimately want. And so you can't just say like, I might come in, it's like, don't get me wrong.
26:41Eric Siu:I love AI, but I'm like, guys, guys, guys, we need to focus on talent right now. and people aren't quite, there's some people on my team that don't quite get what I mean, but I'm like, no, no, no. Everything comes downstream of talent. We can talk about AI all we want, but if we hire poorly, we're just going to have a bunch of slop cannons on the team.
26:56Neil Patel:Yeah, and I want to give an example of a slop cannon. I'm not going to reveal the names because I know them, but I've been explicit to them. So let's call one of them John and the other one Michelle, okay? Michelle's your wife's name. Yeah, Michelle's my wife's name, but my wife's not a marketer. She has a harder job than both Eric and I. She's a stay-at-home mom, and she has to deal with two kids who are not rational, which they'll be up in an hour and a half. Okay, so John says, lovable.dev, and build apps and websites with AI fast no-code builder. So then Michelle responds, but did you build anything?
27:39Neil Patel:Was looking into it. John says, I built 10 websites. sends screenshots, sends a whole image of a full-blown landing page and a website. And John's like, takes a day, LOL. Michelle says, wow, familiar logo. Michelle's saying that because John's website is pretty much a ripoff of my website. I don't think you need AI to do that. All right. And the logo is straight up a ripoff of my ad agency website. And Michelle says, wow, familiar logo. and John says, imagine a Claude plugin, but in a builder. Neil even did a testimonial for my website, laughing my, I'm not going to say the last two is AO, LMAO.
28:23Neil Patel:And John's like, can't believe you call yourself a marketer, Michelle. And you know, they're going to this. John's not a bad person, great person, like him as a friend. I've told John this to their face, maybe 15, 20 times. what is john doing in your matrix here uh eric creating sloth he's creating sloth this is no value it's not going to convert well you shouldn't use ai to just make up random testimonials you could use it to copy other people's websites if you want to do that but this is someone that doesn't need to be paid if you're being paid to just copy someone else's website why do they even need to pay you to do that.
29:05Neil Patel:They can just do that themselves. There's no innovation here. Yes, you can use AI to help you build a website, but shouldn't you be hiring someone who has a solid sense of direction and a lot of experience? So that way they don't need a designer, but they can use AI to build something that actually converts better. They understand your ideal customer profile. They're doing customer research and talking to customers to figuring out what angle you need to differentiate yourself versus all the other competitors out there that is using AI to fine tune their coffee and it's going back and forth with AI to fine tune it and making your headlines better, your CTAs better, running tests, et cetera.
29:47Neil Patel:But people like this who are using AI in the example I gave you for John, they are going to be replaced. And this is not how you should use AI as a marketer.
29:56Eric Siu:And we will see you. We'll see you next week. Goodbye. Thank you.
From the publisher
AI is reshaping the K-shaped economy and separating high agency leaders from low agency workers. In this episode, hosts Neil and Eric break down what the K-shaped economy means, how AI mastery creates a widening opportunity gap, and why talent plus AI beats automation alone. They debate agency churn, AI-native companies, slop cannons vs turbo brains, and why judgment matters more than ever. If you want to stay in the arena, this is a must-listen conversation on AI strategy, hiring, and the future of work.
Key Takeaways
High agency + AI wins
Talent amplified by AI scales
Automation without judgment fails
Chapters
(00:00) K-Shaped Economy Explained
(00:58) High vs Low Agency
(02:24) AI Wealth Divide
(05:12) AI Amplifies Talent
(11:21) Agency Churn Debate
(23:28) Slop Cannons vs Turbo Brains
