Anthropic's Growth Team Is Just One Person

16 Mar 2026 · 25 min · 15 chapters

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In short

Marketing School Podcast Episode Notes

Episode Overview

  • Title: Anthropic's Growth Team Is Just One Person
  • Hosts: Neil Patel and Eric Siu
  • Description: The episode discusses the implications of Anthropic operating with a single-person growth team and explores broader marketing themes, including product-led growth, the role of engineers in marketing, and the impact of AI on marketing processes.

Key Takeaways

  • Product Quality Drives Growth: A great product can lead to faster growth than an extensive marketing team.
  • AI's Role: AI tools should be used to replace workflows rather than replace human workers.
  • Brand Marketing vs. Performance Marketing: Enterprises focus more on brand marketing than simply on performance ads.

Chapters

  1. (00:00) Anthropic One-Person Growth Team
  2. Discussion on the claim that Anthropic’s growth team consists of only one person.
  1. (00:32) Product-Led Growth Explained
  2. Emphasis on how effective products can drive organic growth.
  1. (01:21) Engineers Running Marketing
  2. Example of engineers taking on marketing roles, particularly in startups.
  1. (03:09) Airbnb SEO Story
  2. Experience shared about working with Airbnb on SEO without engaging their marketing team.
  1. (04:56) Claude’s Explosive Growth
  2. Analysis of Claude's growth and the role of marketing in product success.
  1. (06:49) AI Replacing Workflows
  2. AI's potential to streamline processes rather than replace human jobs.
  1. (10:04) Key Man Risk In Companies
  2. Discussion on the dependency of companies on individual key players in leadership.
  1. (12:34) Where Companies Spend Ad Budgets
  2. Insights into budget allocation for startups, midsize companies, and enterprises.
  1. (14:07) Brand Advertising Importance
  2. Importance of brand marketing in enterprise-level strategy.
  1. (16:48) Four Deployed Marketer Model
  2. Introduction of the concept of "forward deployed marketers" akin to engineers in tech.
  1. (19:01) AI Content Quality Problem
  2. Challenges with AI-generated content quality and the need for tailored training.

In-Depth Discussions Anthropic's Growth Strategy

  • The success attributed to a single individual managing the growth marketing activities raises questions about team structure and resource allocation in marketing.

The Role of Engineers in Marketing

  • The conversation highlights a trend where engineering teams are increasingly involved in marketing strategies, often leading to more data-driven and analytical approaches.

AI in Marketing

  • AI should enhance human capabilities by automating tasks and improving efficiency rather than completely taking over roles.
  • The discussion about AI’s adaptability in understanding and generating content based on various user personas emphasizes the need for advanced AI training.

Marketing Budget Allocation

  • A breakdown of how startups, midsize, and enterprise companies allocate their marketing budgets offers valuable insights into prioritization and strategy differences across company sizes.

Future Marketing Models

  • The "four deployed marketer" model is proposed as a way to leverage skilled marketers within client organizations, mirroring successful strategies used by tech companies.

Conclusion The episode provides a thought-provoking look into modern marketing dynamics, the integration of engineering with marketing roles, and how AI can reshape workflows while maintaining human involvement. The insights shared by Neil Patel and Eric Siu underscore the evolving landscape of digital marketing, emphasizing the need for agility and adaptability in strategies.

Call to Action

  • Listeners are encouraged to subscribe and rate the podcast for continued insights into actionable digital marketing strategies.

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

Anthropic's Unique Growth Strategy

0:29 to 1:42

Discussion on Anthropics Growth Team being just one person and their methods.

“So Neil, I think a good starting point on this one.”

External Resources & Internal Roles

1:42 to 3:05

Exploration of how external contractors and internal teams contribute to marketing.

“So they have quite a few people that end up working on marketing externally and internally, even though their growth team is one person, I actually believe it is more people working on marketing internally.”

Consulting with Airbnb's Engineering Team

3:05 to 4:34

Neil shares his experience consulting with Airbnb and the role of engineers in marketing.

“And we have been working with engineers for three years.”

The Role of Automation in Marketing

5:04 to 6:16

Discussion on the effectiveness of automation in marketing processes.

“So basically, Anthropic's entire growth team was just one person for 10 months confirmed.”

The Dynamics of Marketing Teams

6:16 to 8:13

Insights into the dynamics of marketing teams in startups versus larger companies.

“It's still a golden turd, but it's a turd.”

Key Man Risk and Company Value

8:13 to 10:40

Discussion on the implications of key man risk in companies and its impact on value.

“hire humans like i said last time to do robot work yeah and two things one you have to be careful in what you read, like when people are saying like, oh, look at everything we did with just one grilled person.”

AI's Impact on Marketing Workflows

10:40 to 12:30

Exploration of how AI should be viewed in terms of enhancing processes rather than replacing humans.

“We were going to sell a chunk of the company.”

Trends in Advertising Spend

12:30 to 14:01

Analysis of how companies allocate their advertising budgets across different strategies.

“like working correctly or not, or even if we do like a 10th of that, that's cool.”

Enterprise Advertising Strategies

14:01 to 14:35

Learn about the shifting priorities in enterprise marketing spend.

“They shifted content and SEO from number three to number two.”

The Role of Human Touch in Brand Advertising

14:37 to 15:46

Understand why human involvement is crucial in brand campaigns.

“And speaking of Claude and using these AI tools, yes, it should be helping you with a lot of this stuff, especially processes.”
Show all 15 chapters

Introduction to Forward Deployed Marketers

15:50 to 16:21

Discover the concept of forward deployed marketers and their benefits.

“I don't think, I mean, I don't think, again, I actually wrote this out.”

How Companies Implement Forward Deployed Models

16:23 to 16:56

Explore how companies embed marketers to enhance their strategies.

“So that's a forward deployed engineer, okay?”

Retention and Engagement Metrics in Marketing

16:59 to 18:20

Learn about the potential retention benefits of embedded marketers.

“And not just like maybe you're only good at one channel.”

AI Tools in Marketing: Trends and Issues

18:21 to 19:13

Examine the common challenges companies face with AI tools.

“because you insert people into the company?”

Quality Control in AI-Driven Content Creation

19:14 to 22:33

Understand the limitations of training teams to use AI effectively.

“So you can pick Cloud or ChatGPT or Copilot.”
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Transcript

Automatic transcript. May contain errors.

0:00Eric 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.

0:29Neil Patel:So Neil, I think a good starting point on this one.

0:32Eric Siu:So did you know that Anthropics Growth Team is just one person? Yeah. So I didn't know that. I just read about it this week. Let me just give the context for everyone here. I know we can go into it. Obviously, I think they have a bigger marketing team to just one person. But you can go through it first because it turns out I changed my password. So I have to log back in. Sure.

0:51Neil Patel:So there was a report on someone putting it on X on how Anthropics Growth Team is just one person. and look at everything they've done from just one person. They have done a miraculous job, but you have to look at it a few ways. One, a lot of products actually grow through the product just being really good. If you look at some of the best companies, yes, a lot of them eventually end up doing marketing, but good products are much easier to grow naturally than having a crap product and amazing marketers. The second thing that most people don't report out in this is their growth team is one person, but how many other companies are they contracting with externally to help get things done like their Super Bowl ads or the creative solutions, right, for the Super Bowl ads?

1:39Neil Patel:I think they had, was it four commercials?

1:41Eric Siu:Yeah.

1:41Neil Patel:It was four different commercials.

1:42Eric Siu:Yeah.

1:43Neil Patel:So they have quite a few people that end up working on marketing externally and internally, even though their growth team is one person, I actually believe it is more people working on marketing internally. They're just not marketers. So we work with a Silicon Valley startup. They're not publicly traded. They're valued over a hundred billion dollars. There's not that many of them. So you can take a guess. All right. And we help them. Is it an AI company? Not an AI company. Okay. So a hundred plus billion dollars privately owned. Eventually they will go public. I'm assuming that based on A, their valuation, B, they raised a crap ton of money over the year.

2:26Neil Patel:Are they worth over$500 billion? They're not worth over$500 billion. There's only one. Yeah, that's true. There's actually not that many. Probably shouldn't have said them out, but it doesn't matter, right? Anthropoc could be, in theory, less than$500, but yeah, it's not. I said no AI. So yeah, that actually eliminates them. We'll let people guess. Yeah, they can end up guessing. So we help them with a lot of different things in marketing, from SEO to GEO and the list goes on and on. And we help them in many countries. Take a guess who we work with on their marketing team. One of the C-level execs?

3:03Neil Patel:No one. We work with engineers. Okay. And we have been working with engineers for three years. I think this is our third year on our contract with them. We just work with engineers. So the point I'm getting at is in some of these companies that are startups based out of San Francisco, they do marketing. and a lot of times you're not dealing with marketers. You're dealing with engineering people and product people who are helping or who you're working with marketing. And the same goes with Airbnb. That one I can mention. So years and years ago, when I had Kissmetrics, my old startup, we started doing consulting to reduce our burn because we don't want to raise more money.

3:43Neil Patel:I think at that time, we raised$4 million. Yeah, so we added some consulting and consulting that wasn't related to our products so that way we didn't have to keep raising money because we had more inquiries. One of the companies we closed was Airbnb. I got connected with, I believe his name is - Junie. Nathan, the CTO and co-founder, right? I believe it was one of the co-founders. I believe his name was Nathan and he was a CTO. So I worked with him. I worked with someone else on engineering and we're fixing all of their SEO issues, content issues, duplicate page issues, We were trying to figure out how to optimize their conversion rates.

4:20Neil Patel:So we're working on so many different things and not once out of working with them for, I think with them, maybe 12 months or 24 months or something like that. I know it's less than two years, but I believe it was more than one year. Not once had I ever talked to anyone in marketing. Quick break.

4:37Eric Siu:One of our ClickFlow users just told me that they're saving 90 plus hours a month on content alone. ClickFlow is our AI SEO product that actually does the work. Not just here's what you should do. It does it. It creates content in your voice. It helps you with other areas, such as finding the right internal links and creating FAQs. We spent years making it, perfecting it with our clients so it doesn't just sound like AI slop. You can get a 14-day free trial at clickflow.com.

5:01Neil Patel:If you're serious about AI SEO, you should check it out. Back to the show.

5:04Eric Siu:Yeah. So here's what I'll say. I mean, so this guy tweeted this out. So basically, Anthropic's entire growth team was just one person for 10 months confirmed. This is what we just talked about, right? So single non-technical person running paid search, paid social, app stores, email marketing, SEO for the$380 billion company behind Claude. Here's how one human is doing it. The job of a full marketing team, it starts with a CSV. So here's what I'll say to all of this. If you look at the revenue chart for Claude from the last two years or so, it's like going, going, going, and it goes parabolic.

5:33Eric Siu:And that's when Claude Code, like the Opus models, 4.5 comes out, 4.6 comes out. really I would say the last year year and a half or so Claude really started to take off and they're launching all these products like crazy to your point it's the marketing that's when your marketing is so good your product is so good and it's consumer and business and you're touching enterprise yes of course you're going to grow it really quickly right and to your point a lot of this stuff like he is kind of reinforcing like okay paid social paid search or whatever he there there's a marketing team and by the way you when you have all the technology you have you should be able to you're not looking to automate away humans, but you are looking away to automate away processes.

6:09Eric Siu:And that's why this person can do more. But there's a lot more than this. Like if the product sucked, it doesn't matter if you had the best growth person in the world. It's still, you're polishing a turd. It's still a turd.

6:18Neil Patel:It's still a golden turd, but it's a turd. Yeah. What we've seen with Silicon Valley-based companies, a lot of them may not have a big marketing team, but there's other roles that are involved in marketing. So at our agency, NP Digital, we do a ton of app store marketing. So like, let's say if you're Netflix, you have an app, you would want it to rank really highly in the app store, right? Or we've done app work for like Tinder, right? The dating app. So what we found with a lot of Silicon Valley based companies, when we're doing different marketing initiatives, we tend to deal more with technical people and actually no marketers.

6:58Neil Patel:It is very reversed from working with like Fortune 500 companies.

7:03Eric Siu:You know what's funny? So when I used to work at startups, it was the engineers that helped me. So I led marketing, but I worked, I found that I got a lot more leverage working with the engineers because they think about things in systems, right? They don't think about the tasks themselves, which is actually interesting. This brings me to a point. I was listening to the CEO of Sierra, the AI company, right? So he was chairman of Salesforce, I think, for a while, or up the board at Facebook and also OpenAI for a little bit. So Brett Taylor is his name. And this quote I really like, he said, look, talking about replacing humans is like it kind of sucks.

7:36Eric Siu:It does suck. But when you talk about AI replacing workflows and processes, that's what we should be thinking about. And I think a lot of people, that's the resistance right now because they tied their identity into doing the actual task themselves when it was never about that. right and i think that's a much easier way to put it than like you know like all the all the stuff that gets views right that gets clicks like i have all these dot charts that go out like this replaces this this releases this and it gets people arguing with each other but at the end of the day what what we really mean at least what i really mean i think you mean this too is you should be looking at replacing processes it's not so much about all these bloated you know you don't want to hire humans like i said last time to do robot work yeah and two things one you have to be careful in

8:18Neil Patel:what you read, like when people are saying like, oh, look at everything we did with just one grilled person. Is it really one grilled person? Or are there a lot of other people dipping their toes in marketing?

8:28Eric Siu:He for sure works with a bunch of engineers and he's probably hired a bunch of consultants. But you can see here, this is like a case study from, you can see that this is their branding, right? So like, oh, as the growth marketing team focused on building out performance marketing channels across paid, search, social, mobile app stores, email marketing, SEO. As a non-technical team of one, they use cloud code to automate repetitive marketing tasks. Sure,

8:46Neil Patel:they do that but there's no way it's just one person i agree with you and the second thing is you were talking you just mentioned brett taylor brett taylor for people who don't know uh sold the company to google back in the day it's really amazing what he did he was supposed to be the ceo of salesforce decided to back out was on the twitter board push during that transition uh-huh yeah he pushed elon to end up for the board forced elon to end up buying uh x when he tried backing out for a minute. And then I believe he's also on the board of OpenAI. I think he was to help with that transition. And I don't know if he's there anymore.

9:22Eric Siu:I'm pretty sure he's on the board. He has a conflict of interest now because he has the chatbot company. Sam Allman praises it. Yeah, I'm sure he does. But that kind of seems like a conflict of interest. I think he's still on the board. I'm 99 % sure. Maybe. Maybe he's still chairman. I don't know. He's not that much older than us. Yeah. Wikipedia says he's still chairman.

9:41Neil Patel:Uh-huh. Yeah. Did you see, so talking about replacing people, did you see the X comparison of Sam Altman, you know, and I hope no one passes away, but Sam Altman passing away versus Elon passing away, what would happen to the companies? No. So they were just like, well, if Sam Altman passes away, and again, Eric and I don't want any wish ill will to anyone and we don't want anyone to die. But if Sam Altman passed away, they're just like, it wouldn't be a big deal for OpenAI. Brett Taylor would just take it over. He's already on the board. He's an amazing operator. And some were arguing that it may even operate better with Brett running and being at the helm of OpenAI.

10:21Eric Siu:Potentially. But you can't lose Elon.

10:23Neil Patel:You can't lose Elon. They're like, well, who's going to replace Elon? They're like, oh, we're going to have a lot of problems.

10:27Eric Siu:Yeah, yeah, yeah.

10:29Neil Patel:But that just goes to show, and this is a problem I think in organizations, and I've seen people talk about this all day long. I'm not valuable like Elon Musk, but I remember when we were pitching NP Digital to investors a long time ago. Oh, you tried to raise funding?

10:48Eric Siu:Oh, I remember this.

10:48Neil Patel:Yeah, this was a long time ago. It wasn't really raising funding. We were going to sell a chunk of the company. Yeah. And when we were doing this, I don't know when this was, but maybe like - Three years ago? three, four years ago, I guess, maybe four years ago. So when we were talking to potential people, they would all ask the question of what happens when Neil is gone, right? Key man risk. Key man risk. And then now, again, as I told everyone earlier, I'm no Elon, we don't really talk to investors at all anymore, but we don't really get the question anymore on key man risk.

11:21Eric Siu:Yeah, which is good. So do you think today, okay, if you were to go away, like the company could continue on as is. It would continue growing all the things. Same growth rate next three years, average?

11:36Neil Patel:I think growth will slow down a little bit. Okay, yeah.

11:39Eric Siu:I think you don't have the key man risk.

11:41Neil Patel:I have key man risk in multiple areas.

11:45Eric Siu:But anyway, I think it's good to call that out. But I do think going back to it again, the whole idea that AI here is here to replace processes, I think it's also hard. like we're doing our hackathon next week at my company. Right. And I was, I'm just seeing the people, the things people want to build. They want to build dashboards or they want to build keyword research tools. I'm like, bro, like you're, you're building things for humans to still use. Like stop, stop thinking like that. Like think outside, like you got to think about things that only robots can do. Right. Because I look, I look at the stuff people are talking about on X.

12:14Eric Siu:Like I'm not doing, I'm not running ads myself. You're not, you're not either, I'm assuming, but on X or they're just talking about it on X. Like they're running ads. Yeah. They're like, I use Cloud Code to basically manage all my ads and I'm spinning up like a thousand different variations or whatever. And like they're showing their process. I'm like, you know, whether it's like working correctly or not, or even if we do like a 10th of that, that's cool. Right. Because I don't think you should be like spinning up ads or whatever. And I think if you're an SEO, you got to be learning the different dynamics around AEO, probably learn some Reddit, learn some YouTube as well.

12:42Eric Siu:You got to be very dynamic. So like even us going through this hackathon process, number two, it's very important for me right now where I'm like, hey, I got to take a quick look at what they're working on. I'm not involved in the hackathon until the very end, like the show and tell, but I'm like, you got to like constantly keep things like on track. Otherwise it can just go like really haywire.

Read the full transcript

13:00Neil Patel:Yeah. Dude, speaking of running ads, I got the question the other day and we ended up creating a chart on this. I don't think it's been published, but it ends up breaking down where companies spend their advertising dollars. It shouldn't be live yet. Right. So I doubt it's on X, but it will be on X, my guess is next week. So I always get the question from people on, hey, where should we be spending money on marketing? And if you guess, where do most people spend their money on? I already know. Yeah, you're going to end up saying ads. So we started looking at it from startups to the midsize companies and then enterprise companies, midsize being nine plus figures.

13:40Neil Patel:And what we found was startups spend most of their money on paid search. You nailed it. Google. Okay. Then the next category, if you had to guess, what do you think it is? Metal. Close enough. It's organic social media. And then the third category, and we bucketed them in together, was content and SEO. Now, here's where it gets interesting. With midsize, it's almost the same. Paid search is still number one. They shifted content and SEO from number three to number two. And if you had to guess what number three is, it's social media, but it's not organic. It's paid. Paid. You nailed it, right? But enterprise is where it really gets interesting because it changes.

14:22Neil Patel:Paid search is actually not number one, it's number two. Paid social is still number three. But number one, if you had to guess, where do you think most enterprises spend their money? Big brands, Coca-Cola, Pepsi. Yeah, bingo. Brand advertising. And speaking of Claude and using these AI tools, yes, it should be helping you with a lot of this stuff, especially processes. but when you're doing a lot of brand advertising campaigns i think that's when it's really important to have the humans in the loop um and the reason being is uh did you see you see the coca-cola fiasco with the ai generated ads no what happened so they ended up creating ai generated polar bear commercials oh yeah and then people were just pissed they're like you took the soul out of the heads and they didn't like it and i'm not saying people are right or wrong but if your goal is branding, because once a company gets so big, I don't care who you are, whether it's Claude or ChatGPT, or, you know, even in the agency space, you look like publicist, you're not getting your customers from paid social or paid search.

15:29Neil Patel:You're getting it from your brand name. And we all know this. All these companies that are old and that are large tend to get majority of their customers from their just brand. And when you're doing branded campaigns, it has to be thought out really carefully because if you screw up a little bit, it can just really tarnish your reputation and your brand.

15:49Eric Siu:Yeah. I don't think, I mean, I don't think, again, I actually wrote this out. I've been writing these X articles. I had one that did well this last week. It was like 500 ,000 views or something, but we can talk about that in a second because I think that's the future of marketing. But I've been talking more about this forward deployed marketer model, similar to Palantir, right? Or similar to Anthropic. Like they put forward deployed engineers in.

16:10Neil Patel:Wait, can you explain it? Because I have no idea what you're talking about.

16:12Eric Siu:A forward deployed engineer, Palantir. I've always wondered, I'm like, what the heck do they do, right? They make so much money. And so what they do is they put an engineer, they embed the engineer into your company. So that's a forward deployed engineer, okay? FDE. And then what happens is they already have their stack, Foundry, and that's the base software stack that they have, but they customize it for different government agencies that they work with or whatever client they're working with, right? Right. So Anthropic did this too recently, which is why the government didn't want to turn off of them necessarily.

16:42Eric Siu:They were negotiating so much because they were so entangled with their four deployed engineers and all their software was in all the government systems. Right. It was hard to rip it out. So I think we're at least we're we're calling it single brain where we're taking things. We're going to have four deployed marketers, like really smart marketers. And not just like maybe you're only good at one channel. You're like a more well-rounded marketer. Like I would consider us a little more well-rounded in our careers now. and so and then you have your they're working with the custom agent stack that you built and they're customizing for the the clients right so i think to your point going back to the brand thing real quick i think you're always going to need smart people smart people aren't going to you know they're not going away and i think the people that never were good at these jobs anyway that's okay they're going to be able to work on something else that they really like and they'll

17:26Neil Patel:be okay so let's go back to the for deploy engineer yeah because i'm an fdm here at for

17:32Eric Siu:deployed marketer.

17:33Neil Patel:Okay. Yeah. Cause I have something on marketing that could be somewhat related, but maybe I'm misunderstanding the engineering side. So it is a company has their own software solution or technology and then corporations work with them. So they're putting their own engineers into other companies offices. They're working as employee of that organization and help implementing their own solutions. But they're in that physical location, like being in Goldman Sachs' office or whatnot.

18:00Eric Siu:It's similar to how holding companies will put their employees into like - Got it.

18:03Neil Patel:We do the same thing in which some of our clients require us to put our marketers within their offices. How many hours do they have to be there per month in office?

18:12Eric Siu:Is it full-time? Yeah, full-time. We don't have any that are part-time. It's all full-time. Got it. So they're full-time and once the engagement ends, they come back to you. Uh-huh. So, and do you find that they actually retain longer because you insert people into the company? Do you have numbers around that? I don't, but I should look that up. I'll get some numbers on that.

18:29Neil Patel:Yeah, we've been doing this for years.

18:31Eric Siu:I would imagine, like I've never asked you. It's obvious that you've been doing it, but I've just never bothered to think about it. Like, nor have you.

18:37Neil Patel:Yeah, I never thought about it. I know for a fact we've been doing it for more than five years. The retention's got to be higher. I'm so curious about that. Yeah, I don't know. And I know we do it in many regions, so I can actually break it down by client size and by region. But an interesting model here. Dude, that post would do well.

18:55Eric Siu:If you have the data around it, you post it to X or whatever, that would do it. Because nobody talks about how well that does, and it's like a new concept. But agencies have been doing it for a very long time. They've been doing it for a very long time.

19:06Neil Patel:But speaking of that, when I travel throughout all the world, people talk about what they do with AI. And one thing that we're seeing consistently is organizations are all paying for these tools. So you can pick Cloud or ChatGPT or Copilot. A lot actually pay for Copilot, at least on the enterprise end, you know, or Google because it's just thrown in. And when they're paying for these solutions, one, they usually don't pay for one. They pay for multiple. But two, they're all running into the same problem. The problem being, hey, and I'm going to use content as an example because this is a simple one that a lot of people or marketers use.

19:46Neil Patel:hey a lot of different people in our organization are using copilot or gemini or chat gpt to help with content and sometimes the quality is really good and sometimes the quality is really bad so then they go with a different model the model being we want to hire companies like yours np digital to come and train our people on how to create better content and i always tell them Oh, interesting. That model's broken. Yeah. And they said, why? I'm like, you can train people. One, if they're not receptive to the training, because not everyone will be. You're not going to get amazing quality results.

20:24Neil Patel:Because they have a minimum bar that they would like, and they want everyone to meet it. And I'm like, that is really hard to do. And let's just be realistic. Most large organizations that are publicly traded, I get Block laid off 40%, I believe, of their staff. Atlassian just laid off 10%. majority are not going to lay off 20, 30, 40%. I'm assuming you agree with this statement, especially the older traditional companies that are larger.

20:49Eric Siu:And I don't, yeah, I don't think it's majority. I think there's a good chunk, but not majority.

20:52Neil Patel:Correct. Yeah. At least in the next, at least in the rest of 2026, I don't see the majority of large old school corporations just laying off a ton of their staff. I agree with that. Right? Yeah. Maybe times will change in the future. Yeah. So they're trying to figure out how they can get their team to produce a minimum quality for any of their marketing materials when they're using AI. So I'm talking to them and I'm like, you guys are all thinking about this wrong. You're trying to train your team to all use AI in a specific way. And I just sent you a meme and you were the one who told me it's like six years old, but I just got it today.

21:31Neil Patel:Do you want to read the meme? Yeah.

21:32Eric Siu:So here, I'll read it and I'll bleep out the word over here. Okay. So the meme that Neil sent me, it's from MIT Technology Review. I think it was a joke that was from MIT Technology Review. But the meme is this. If you're so smart, why aren't you rich?

21:46Neil Patel:Turns out you're effing stupid. Yeah. And the problem that I was telling them is you're expecting everyone to put out a minimum quality of marketing when you're using AI. But people have different abilities. Some people are really talented and smart. Some people are newer and need to learn more. Some people are, whether they're new or great with technology, some people may be in the organization for a while and they're slower to learn technology. So I was like, the solution isn't to train everyone on AI and get a minimum. The solution is to train the AI to deal with different personality and levels so that way it can figure out who they're dealing with.

22:26Neil Patel:So that way they know what to ask that they're not going to ask so they can still produce a minimum quality output. so I was like what organizations need right now is instead of worrying about training a thousand people on in marketing or a hundred people in marketing on how to use AI it's to train the AI on all the edge cases and the people that they're dealing with so that way it knows the minimum quality of output that it needs to produce for each and every single output so that way no matter who's using the AI it adapts to that person and gets better and better and I was telling the organizations, I actually think that's more feasible than training, you know, 500 people or 200 people and get them to all create a minimum quality output.

23:13Eric Siu:Anyway, that's it for today, guys. Please don't forget to rate, review, and subscribe, and we'll see you later.

From the publisher

Neil and Eric discuss the surprising claim that Anthropic ran its growth team with just one person and what that really means for modern marketing. They break down why great products often drive growth more than big marketing teams, how engineers frequently lead marketing initiatives in startups, and why AI should replace workflows instead of people. The conversation also covers brand vs performance marketing, how enterprises actually allocate ad budgets, and the growing role of AI tools like Claude AI and ChatGPT in marketing operations.

Key Takeaways:

• Great products grow faster than great marketing alone.

• AI should replace processes, not people.

• Enterprise marketing is driven by brand, not just ads.

Chapters:

(00:00) Anthropic One-Person Growth Team

(00:32) Product-Led Growth Explained

(01:21) Engineers Running Marketing

(03:09) Airbnb SEO Story

(04:56) Claude’s Explosive Growth

(06:49) AI Replacing Workflows

(10:04) Key Man Risk In Companies

(12:34) Where Companies Spend Ad Budgets

(14:07) Brand Advertising Importance

(16:48) Four Deployed Marketer Model

(19:01) AI Content Quality Problem

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