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The Best Marketers Are Becoming Part-Time Engineers

28 min
Aug 12, 202620 days ago
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Summary

The episode explores how the best marketers are evolving into part-time engineers, drawing on a Procter & Gamble study showing role convergence across departments. Hosts Eric Siu and Neil Patel discuss how AI coding tools, free product strategies, and tools like ChatGPT Voice are reshaping how marketers build and distribute products. They also cover Palantir's land-and-expand model, business moats, and push back on agency doom narratives by noting only 250,000–500,000 people globally are truly 'AI-pilled.'

Insights
  • Marketers who can build V0 products using AI tools have a significant competitive advantage over traditional engineers, as taste and judgment now matter more than raw coding ability.
  • Releasing free versions of products that competitors charge for is often cheaper and more effective than running paid ads on Google or Facebook for audience acquisition.
  • Switching costs remain the most defensible moat for agencies — the more integrated and multi-service a relationship, the harder it is to rip out.
  • Only an estimated 250,000–500,000 people globally are deeply AI-pilled, meaning most businesses still need human experts and agencies are far from dead.
  • AI voice interfaces like ChatGPT Voice are beginning to replace passive podcast listening during commutes, signaling a shift toward ambient productivity.
Trends
Role convergence: marketers becoming part-time engineers and engineers becoming part-time marketers across all departmentsAI coding tools advancing to the point where source code review is becoming optional, moving toward intent-based software developmentFree product-led growth strategies outcompeting paid advertising for audience acquisition and lead generationMulti-agent AI systems (e.g., Buzz by Jack Dorsey) enabling small teams to coordinate complex workflows autonomouslyChatGPT Voice and ambient AI assistants replacing passive media consumption during commutes and downtimeLand-and-expand SaaS models creating deep switching costs that make vendor replacement economically irrationalEngineers being trained to think in 'marketable moments' as product launches become marketing eventsStablecoin-based incentive systems emerging in gamified business productivity toolsAI adoption still in early innings globally, sustaining demand for skilled human experts and service businessesVoice AI replacing smart home assistants like Alexa as open-source and LLM-powered alternatives mature
Topics
Companies
Procter & Gamble
Study cited showing all roles now involve both marketing and engineering tasks; noted as 5th largest global advertiser.
Palantir
Discussed as the originator of the forward-deployed engineering model used for land-and-expand revenue growth.
Ubersuggest
Neil Patel's free SEO tool cited as a successful example of free product-led growth strategy.
Answer the Public
Acquired by Neil Patel as part of his free tool flywheel strategy to grow audience and leads.
OpenAI
ChatGPT Voice highlighted as a transformative ambient productivity tool replacing passive podcast listening.
Nvidia
Mentioned as notorious for having a bloated code base, contrasted with Silicon Graphics' cleaner approach.
Silicon Graphics
Referenced as a historical example of clean, perfectionist code bases contrasted with Nvidia's bloated approach.
Salesforce
Used as an example of a deeply embedded SaaS vendor that is costly and difficult to rip out and replace.
Microsoft
Cited as a classic example of a vendor with high switching costs making replacement economically impractical.
Meta
Used as the primary example of a business with strong network effects as a competitive moat.
Coca-Cola
Cited as an example of a business whose primary moat is brand power within the Seven Powers framework.
Toyota
Referenced as an example of process power as a competitive moat, producing cars at massive scale efficiently.
Tesla
Mentioned as potentially having process power or cornered resource moats similar to Toyota.
Single Grain
Eric Siu's ad agency promoted as a resource for customer acquisition strategies and free marketing plans.
Y Combinator
Gary Tan from YC cited for arguing that speed itself can be considered a business moat.
8VC
VC firm where Joe Lonsdale discussed Palantir's early land-and-expand and forward-deployed engineering strategy.
Tata
Mentioned as an example of a firm that places temporary headcount within client organizations.
Infosys
Cited alongside Tata as an Indian firm placing temporary employees within client organizations.
Amazon
Alexa cited as a currently limited voice assistant being outpaced by LLM-powered open-source alternatives.
People
Eric Siu
Co-host driving the discussion on marketer-engineer convergence, AI tools, and free product-led growth strategies.
Neil Patel
Co-host discussing free product strategy via Ubersuggest, switching costs, and agency longevity amid AI disruption.
Elon Musk
Tweeted that source code is becoming like assembly language as AI coding tools eliminate manual code review.
Joe Lonsdale
Discussed Palantir's early forward-deployed engineering model and land-and-expand revenue strategy in a talk with 8VC.
Gavin Baker
Cited for estimating only 250,000–500,000 people globally are deeply AI-pilled, putting AI adoption in perspective.
Gary Tan
Cited for arguing that speed is a legitimate business moat, a point debated within the Seven Powers framework.
Seth Godin
Referenced for his Purple Cow concept and the idea that today's wow becomes tomorrow's average, applied to product la...
Jack Dorsey
Creator of Buzz, a Slack-for-agents tool Eric Siu is using to coordinate multi-agent AI workflows.
Brad Gerstner
Mentioned as a peer of Gavin Baker in the circle of prominent tech investors who publicly share market insights.
Quotes
"Software development stops being about writing and editing lines of code and becomes about describing what you want and verifying that the resulting program actually does it."
Eric Siu
"If you can't answer what you're giving away for free that people feel value in and can't really find for free right now, then what you're building probably won't get you the results that you're looking for."
Neil Patel
"Make sure whatever you're building as a marketer is something that people are used to paying for and they wouldn't expect for free. And the moment you give it away for free, they're shocked, they're ecstatic, they share it. That's what causes virality."
Neil Patel
"Today's wow is tomorrow's average. And that changes a lot faster now too."
Eric Siu
"Hard talent is always like a percentage of people. And that's never going to change."
Neil Patel
Full Transcript
2 Speakers
Speaker A

You know that feeling when the strategy is done, the brief is written, everyone's aligned, and you realize someone still has to sit down and actually create all the content. That someone is you. And it's due tomorrow. Breeze Assistant can help. It works right inside HubSpot. Drafting campaign copy, blog posts, emails, all in your brand voice, all grounded in your actual customer data. So you don't just create content, you create content that converts. Check out HubSpot.com, the agentic customer platform for growing businesses. Basically, Neil, everyone is now becoming a part time marketer or engineer. So if you look at the little table over here, you can see that every single role row here, right, Every role row is they have some form of engineering that's happening over here and they also have some form of marketing that's happening. It doesn't matter if you're a customer, experience design, engineering, whatever, you're doing some form of marketing. Now obviously a marketing person is going to spend 36% of their time doing marketing. And engineer supposed to spend 53% of their time on engineering. But you can see these rising as the main things. And the thing is, Neil, like you and I, right, we're marketers, naturally, but I do find myself building more stuff now and sometimes, yes, we're going to think about finance, we're going to think about design as well. But I think this is a, it's like overall, this is one of the big findings in their study at Procter and Gamble. So this is, this is just people at Procter and Gamble, I guess. But I find that really interesting that we've talked about the coinbase philosophy of the pot of one, where one person, like one marketer can be part designer, can be part engineer and vice versa. Right. So I think that's interesting and it's going to continue to rise. I think a lot of this stuff is just going to merge together.

0:00

Speaker B

Yeah, totally. And one caveat here just for everyone to know. Procter and Gamble is the fifth largest advertiser globally as well. So advertising, advertising and marketing is also in their DNA. They spend a lot more than most companies. Yep. But I do agree in general, people are going to start doing more things because of technology and it's their ability to like code and stuff like that. Because if you also look at Proctor and Gamble, people aren't inherently engineers. Right. On the marketing side, yes, they're big spender on marketing, but people in different departments generally are engineers.

1:42

Speaker A

You know, I was having lunch with my CTO today and we were walking and he's like, I actually think that, you know, we're gonna need more people that have, you know, product builder type marketers that are deep in marketing but can build products versus like a standard engineer from the past that, you know, will build up like a UI and like build up like a typical SaaS product. Right? And so he's. And I'm like, I honestly think it's gonna be a mix of the two. Like, you might need some of that. You might need to kind of build out like a traditional ui. Um, and then you're also going to need like marketers such as yourself, Neil or myself that has the taste and judgment and we know how to at least build a V0 of something to get at 20, 30, 40, 50% there. Which then brings me to my next point. Elon actually tweeted this yesterday. So he said this source code is on the verge of becoming like assembly. So CTO sent this to me yesterday. I'm like, I don't even know what that means, right? So I asked Twitter or X to summarize it. And Elon basically is saying that code AI coding tools have advanced to the point where developers increasingly trust outputs without reviewing generated source code, mirroring the historical shift away from manual assembly programming after reliable compilers emerge. I have no idea what that means, right? So he's like, the next evolution is AI system will produce optimized binary executables directly, eliminating traditional source code as an intermediary step in software development. There's too many big words here, okay? So I'm just like, dude, what does this mean practically? So practically it means software development stops being about writing and editing lines of code and becomes about describing what you want and verifying that the resulting program actually does it. Okay, so here's the key thing here. So Neil, you and I, we don't review code right now. People talk a lot about technical debt and things like that, right? They talk about the code base being very bloated and Nvidia is actually notorious for very having a very bloated code base. Whereas before, like, if you came from like Silicon Graphics, like, it was very pretty. Perfectionist, right? Elon saying, like, it's probably going in that direction where you're not even going to be talking about having, you know, too much technical debt because the stuff is going to be so good, eventually it's going to clean itself up and we're not even need to understand what's under the hood. That's all that he's saying. And I think it's already happening.

2:19

Speaker B

Right now.

4:22

Speaker A

But the crazy thing again is when I talked to you on the phone yesterday, we have people that we know where they don't let their engineers, they don't trust AI. It's not reliable. Right. I think a lot of deception is going to go in this direction and humans are just going to say, hey, I want this. And you verify, hey, is this actually what I wanted? If it is, great. No complaints.

4:23

Speaker B

Yeah. So let's dive into speaking of what marketers are spending their time on, let's talk about how the best marketers are becoming part time engineers. And I know you have this as a topic here. I'm curious to what that person said on X, but I agree with this. And the reason I agree with this is marketers now can create product and free products quicker than ever. If you look at how much people spend on advertising, in many cases it's actually cheaper to release a product that a lot of people pay for your competitors that cost money and release it for free and gobble up a lot of visitors and audience that way than it does for just running ads on, you know, Google or Facebook. From a profitability standpoint, I did a lot of that in the early days with ubersuggest. That's why we bought Answer the Public. And that model's worked out really well for me. And I know there's a lot of other companies that have released free products to create their flywheel.

4:41

Speaker A

Yep. So it is the table that I just showed you, Neil. But let's talk about what we're doing right now. Okay, so I'll give you some examples. So whenever we build product right now, we say to the engineers, we say to people, hey, everything that you build, we need to have a marketable moment. So whether you're using a Hyper Frames video where it's like a 20 to 30 second video, and by the way, when they make one of those, and I put it on my Twitter, 40,000 views. Right. So, so, and there's a lot of these hyperframe videos that have like a million views plus. Right. There's a lot of these launch videos. So we want to launch video on a specific feature or product or by the way, for our skills dojo, which we've given away for free. If you want access to skills evals, loops, that type of stuff. Well, we're just gonna, we're promoting other people's skills. We're promoting our own skills that gets a lot of reach as well. And then we can market to those people. So that's for free. The clickflow API to mcp, that's for free as well. The API gateway, we're gonna have a free version of that too. Carrot we're trying to give a free version of that for free. So we're just trying to give a lot of these, these free things out and that way people can use it and then we can figure out, hey, who in here is actually a product qualified lead that fits our ideal client profile. And then we can reach out to them from a sales angle side and then follow up with them. Right. And then just continue to follow up with them with different angles over time. And that's, that's working for us right now. But the key thing that we made a change in is, hey engineers, you're all marketers now. We're going to teach you how to make these marketable moments. And we literally have a channel on Slack where every single week we're just talking about marketable moments. Because then that informs the salespeople, that also informs the paid media people on what we want to amplify. That also amplifies what we might want to do from an organic social standpoint too. So that's what we've done. I'm curious to know what you guys are doing right now.

5:36

Speaker B

We focus on one simple thing when we try to release product from a marketing standpoint. In other words, the product helps just build a bigger audience. What are we giving away for free that people charge for and they feel value in that you can't really find for free right now. And if you can't answer that question, then what you're building probably won't get you the results that you're looking for. From a marketing perspective, you can have the best email sequences, the best social posts, the best marketable moments when it comes to creating a video. But if the offer itself isn't valuable enough, it doesn't work. And then you just wasted all this time building whatever you're trying to build. In conclusion, in conclusion, make sure whatever you're building as a marketer is something that people are used to paying for and they wouldn't expect for free. And the moment you give ex, you give it away for free. They're shocked, they're ecstatic, they share it. That's what causes virality. That's what does really well when you're building and releasing products as marketers.

7:11

Speaker A

Yeah. And keep in mind, by the way, Seth Godin used to say this, basically today's wow is tomorrow's average. And that changes a lot faster now too. Right. I think it's not Neil, but Seth Godin had a book called Purple Cow. And Purple Cow is just a cow that stands out. Right. You want to be that purple cow. And that purple cow is changing every single day. The target's moving very quickly. So you just have to be ready to, ready to adapt. Um, by the way, Neil, I have a little topic here. So do you want to know how. How Palantir land and expands for cheap?

8:16

Speaker B

No. But I'm curious.

8:48

Speaker A

Well, this is early days Palantir. Right. Obviously, they popularized the Ford deployed engineering model. So I was watching a talk with Joe Lonsdale, who co founded Palantir, and he was talking to 8VC. I think it was like a, like a VC firm. And the main thing that they did in the beginning, I'm not. It was like they just made sure that they got their tentacles in there in terms of the four deployed engineers working at these companies. Right. And then doing some stuff for maybe, you know, not, not too expensive to start with. But what ends up happening is because they end up asking for more and more overtime. The, the, the, the expansion revenue just goes up to. We're talking about seven figures. We're talking about multiple seven figures. We're talking about tens of millions of dollars a year. And what happens is you build so much goodwill when you, when you build with these people where they just don't want to get rid of you. And Neil and I were talking on the phone, on the phone yesterday. The thing is this. And this is from, from Neil Sharon. So maybe I'll let you share it. But when you do a damn good job and you're so integrated, it's hard to get rid of you. Right. So, Neil, you can, you can add a little more there from our conversation. Yeah.

8:49

Speaker B

So then when you look at it from a perspective of land and expand, if you get in with a company and you help them out with one product or service item and then you convince them to do two or three more. So if you help them with eventually multiple products and then you do it in multiple languages and territories, whether they like you or not, it's not easy for them to rip you out. And this is what they call in, at least in SaaS, switching costs or in business switching costs, a lot of times it's hard to rip out Microsoft or it's hard to rip out Salesforce or whoever it may be. So you just stick with the solutions that are cheaper to pay for than it is to rip them out and switch them to something else. Now, in that calculation, a lot of Businesses also run the scenario of if we don't switch them out, what are we losing in growth or potential revenue or whatever it may be? But the moment you're just like, oh, the other software does everything that the current one we pay for. It's just half the cost on an annual basis. But to rip it out, it costs $2 million, and annually you only save, you know, 300 grand. You're probably not going to rip it out and take the multimillion dollar hit.

9:47

Speaker A

You know what Neil's talking about here? When we think about a moat from an agency, there's a book called Seven Powers. And the only moat, in my opinion, that a traditional agency has, at least for today, is switching costs, right? Because if you're talking about, you have, it takes a lot to get through procurement. You're a global organization, you're working with them in different areas. You have multiple services in there. That's hard to rip you out. Now if you're talking about multiple integrations you have and things that you built, it's even harder to rip you out, right? So that's what you want to think about, switching costs. But then if you want to think about some of the other moats for a business, because Seven Powers, right?

11:04

Speaker B

There's.

11:35

Speaker A

There's moats. Someone, Gary Tan from Y Combinator argue that speed is actually a moat and that that's arguable. But when you look at Coca Cola, for example, what do they have? They have brand power. Okay, when you look at Toyota, what do they have? They have process power. How do they create cars at such, such a scale? You can argue Tesla that even has that, right? Or you can argue that maybe they have a cornered resource, right? So if you have all the copper in the world, then that's a corner resource. Now, ideally, if you can have three or four of these, then you have a really defensible business. But I, in my mind right now, I think when you look at like an agency, like, what can you do? Like, network effects would be another, another moat that you can have, right? Like a, like a meta, for example, has network effects. And that, that's, that's not easy to defeat. And so the more moats you have, you think about a castle. In fact, Neil is actually in a castle right now. He's in a moat, right? Really?

11:35

Speaker B

In a castle?

12:24

Speaker A

Yeah, Neil's literally in a castle. Dude, this. He just ran away to take care of his kids. So. And by the way, look, you can see there's a, there's a female knight over there. In the background. Right. In fact, this looks like it might be a World of Warcraft looking at the lion over there. Anyway, I'm going to continue to carry this episode while Neil's gone. So one thing I'll say is this. Oh, look, Neil brought his backpack over here. Neil, by the way, are you in a World of Warcraft? If you're building an e commerce brand, you should check out DTC Pod, hosted by Ramon Barrios and Blaine Bolas on the HubSpot Podcast network. They speak with founders, marketers, creators agencies and platform experts about what it actually takes to grow a direct to consumer business. From paid ads and influencer marketing to conversion, email, brand building and consumer trends. I particularly enjoyed their conversations around scaling a brand without losing what made customers care in the first place. Listen to DTC Pod wherever you get your podcasts real quick. If you want to acquire customers faster and more efficiently this year with the latest strategies and tactics, then check out singlegrain.com. that is my ad agency again, www.singlegrain.com. check it out and if it seems like a fit, we'll get in touch and help you with a free marketing plan.

12:25

Speaker B

No, I'm in the Lego theme. I'm at the Lego hotel, Lego castle hotel, and whatever the theme is, but I'm assuming it's just fighting. Oh, okay.

13:36

Speaker A

He's in a Lego castle hotel. That's amazing. Okay, great. So I was just talking about the moats, but let me talk about one thing, new Neil. Have you used chatgpt voice yet? Have I sold that to you yet?

13:43

Speaker B

Yeah, you sold it to me. I still don't use it, but you sold it to me, dude.

13:54

Speaker A

Oh, well, you can't, you can't do it with your kids. Okay, guys, let me, let me explain how good this is. Okay, so chatgpt voice, when I went to go see my dad over the weekend, I was like, you know what? I'm not going to listen to a podcast because that is mental masturbation. Right? I want to get things done. So I opened my ChatGPT voice, which is, by the way, it's open on this computer over here, so it can control all the apps that I have and it open, it controls my other agents. I was like, hey, you know what? I want you to note the top three highest leverage things that I'm working on right now and I want you to tell me the next steps. Okay? I want you to tell me the next steps and then I want you to execute on them. It started executing on all those things and it kept moving the ball forward. And that's the main thing. It kept moving the ball forward, right? And then had a 40 minute compute to commute to my dad and then 40 minutes back. And I just kept doing it, I kept working through it. My phone got really warm. And then what happened afterwards is I on my way to see my dad the first time I was actually worried, I was like, oh crap, I'm gonna be late, right? And I just said that they. I was like, hey, can you text my dad, tell him I'm going to be about five minutes late? And then it sent the text message and then it confirmed with me that he responded and he received it. I'm like, that's good, let's continue to get back to work. Now. This is really big because you now have like a, like a Jarvis from Ironman. You can tell it what to do and it knows your context. And not only that, I can control my other harnesses. So I had my Herbies desktop app open too. I was like, hey, I want you to continue work trees on. Work trees on that one too. What else can you continue there? And so because a lot of this stuff is about, sure, people talk about setting up loops and graph engineering where you don't have to prompt it, but in many cases you still have to kind of check on the thing and improve it over time and make sure it's not just YOLOing and doing whatever it wants. Maybe you can do it with code, but when it comes to marketing, when you're sending like sales emails or when you're sending like recruiting emails and things like that, you have to have some form of human in the loop there. And so that has been amazing and it's only going to get better.

13:59

Speaker B

But you do know for the, at least the texting example with your dad, you can just talk into your phone and it just does it automatically anyways, right?

15:52

Speaker A

But I, I'm too late. But by the way, I'm still working with the thing and so like I can just as I'm working, I'm like, by the way, send a text message. Right? But by the way, sure, I can say hey Siri, send, send a text message, whatever. But it can I confirm that he received it and he sent the reply to me. I can't do that. Right? But with this thing, it's like your dad actually got it.

15:57

Speaker B

Have you seen the new Siri?

16:15

Speaker A

No, I haven't. Tell me about it.

16:17

Speaker B

I haven't used it either, but they say it's really good.

16:18

Speaker A

You can't promote something where you haven't even seen it yet.

16:22

Speaker B

No, but I read about it yesterday.

16:25

Speaker A

You probably can, right? But they're so far behind. But I think this is going to become the default way, Neil, where actually now Hermes came out with something where you can replace your Amazon Alexa with its voice. Because Alexa is really stupid right now. It's going to get smarter over time, but it's really stupid right now. It screws up so many things. Right. So imagine you wake up in the morning, Neil, instead of asking, how's the weather? How about how's the weather? And knock out my top three things right now. That's how the weather is.

16:28

Speaker B

Yeah, dude. And by the way, with technology being so advanced, what I really hate about all the apps, whether it's AI or Siri or Alexa, if you ask how the weather is, it is. It can be wildly inaccurate. Like, there's been so many cases where it rains throughout that day and the weather apps will show it's not raining at that exact moment. And I'm like, man, these guys can't get this basic thing right.

16:55

Speaker A

Yeah. And it's 2026, and I, I'm sure they're gonna get it right. I think it's just they, they, they like. But I, I just look at ChatGPT voice. I think that this is gonna change how we work and we're just literally gonna be dictating. Because here's the thing. On that commute, back and forth had I spent 80 minutes to 100 minutes listening to a podcast, well, that. A hundred minutes now I actually just got work done. And so that, that is a new expectation. You're not gonna be listening to podcasts as much because people are just gonna be working more, talking about, you know,

17:18

Speaker B

I've never done the podcast in the car. I really, I've tried that out.

17:44

Speaker A

What do you do? You probably call people, right?

17:47

Speaker B

So I've done kids podcasts where like, it's trivia for kids. I forgot the lady that does it. But it's, it's, it's. She's all about trivia for kids. I can't do the voice Siri thing because my. Or voice anything because my kids will chime in the moment. I'm doing any voice thing in the car. Like, they'll ask, uh, you know, on Tesla, you know how you can ask questions. My kids love it. They'll ask animal facts or random stuff. Um, so I either do phone calls or I talk to my children, because with phone calls, even if they speak, the person on the phone, knows it's me when I'm talking, so I can still get a conversation going and I can be productive and get stuff done through that way. Um, it is hard when it's not a phone call because most voice assistants, if I'm talking, will pick up their noise and they'll just get a kick just trying to throw me off and put in other stuff that they're not supposed to put in.

17:52

Speaker A

Well, yeah, I mean, you have to be engaged in a different way because you have. You have. You have customers in the car or kids in the car, I should say. You have to entertain them, by the way, Neil. So I mean, on this note, okay, chatgpt voice is great, right? But then I installed Jack Dorsey's Buzz. Okay? So I want to show you how I'm working with Buzz right now. And I think this is going to change how work is. And to be frank, I've already been working inside of our Slack. I've been talking about having agents inside of Slack, but this is pretty cool. Like, anybody can install Buzz. I'm sharing the chat that we have over here. This is like Slack for agents, okay? So I'm making this world of business game in my free time, okay, where you can basically, Neil, because we have this thing now and this is open source, I can actually finish off that game now where if Neil completes a quest, I give him $20 in stablecoins, right? Or if he does, if he implements a workflow and one other person uses it for the next four weeks, maybe I give him $500, right? And then you have a for it. So I'm working on that right now with this thing. And I made this plan and then I have all these four agents in here, right? I was like, hey guys, I want you to review these plans and give me a different perspective. And they just start working here. Here's how it is right now. Here's my perspective. And then they start talking to each other. Fable 5 Claude code here. Here's what I think over here. Boom, boom, boom, boom, boom. And it just gets work done. So imagine I can use the Chat GBD voice. Plus I can use this and say, hey, guys, just do all these things over here, right? Bam, bam, bam, bam, bam. And then now we can do way more work.

18:47

Speaker B

So to clarify for anyone listening right now, if you watch the video version on YouTube, you'll see what Eric's talking about because he's screen sharing and showing you. So make sure you check out the video version to get some context. But speaking of talking in the car. Dude, I was driving to Legoland today, and I was talking to my cfo. His name's Paul. My daughter, once you realize, is Paul. Cause he knows he's a finance guy. He's like, hey, Paul, do you want to make some charts and diagrams and work on today's projections? That's funny.

20:11

Speaker A

How did he react?

20:41

Speaker B

He cracks up. But he knows, because she'll try to call. Like, she knows the password for my phone. Both my kids do. And, like, they'll text, too. They'd be like, what's this month's numbers? And, like, I don't talk like that. So they kind of know because it'd be like, hey, what's the growth of this month? Or what's the year over year? I'd be more specific.

20:43

Speaker A

That's exactly how you talk. How are we doing with numbers?

20:59

Speaker B

I wouldn't say this month's numbers. I would say, did we hit this month's numbers or targets? I wouldn't just say, like, what's this month's number? That's too generic. But either way, you know, they get a kick out of it. Yeah. Like, they know the type of people I'm talking to and their roles, and they'll say different things. So, like, with Paul, it'll be charts and diagrams and projections. With Mark, it'll be, did we. Did we hit the sales numbers? Because I always ask him that. And I ask them for country to country. My kids don't know all the countries, so they'll throw out random country names in Europe. And some of them are cities, because they don't know the difference between a country and city for. For all of them yet. They're young. And then, like, if it's Mike Camo, they'll be. They'll talk about, like, hey, dude, how much money are we gonna make this month? Or taking salary this month?

21:02

Speaker A

That's funny, by the way. You know, it's. Did I tell you I was sitting on that AI operators call? So, again, you have a lot of people that are working at these larger companies, right? Nine figures plus. And initially, all the CEOs were like, how do we cut headcount? How do we cut headcount? How do we cut headcount? But all these other people are like, well, no, they had to kind of walk the CEOs away from that language. And it's more about, how do we enhance what we're doing? And I think that's really important. Right. The messaging, the way you communicate something is really important, too. And so I'm not saying Neil wants to cut headcount necessarily, but it reminded me of the, like how, how quickly we change opinion on this AI stuff. And one thing I want to bring up, I was listening to Gavin Baker talking today. So you know Gavin Baker, the investor, right? Neil, uh. Oh, so he's actually a popular investor. Like you know, Brad Gerstner. Right. He's kind of in, in that, in that circle. Like they're like, they podcast the stuff and they're really good investors. So Gavin Baker was saying this and I didn't know the number was this small like Neil did. How many people in the world would you say are actually like, you know, like super AI pilled?

21:58

Speaker B

I don't know. Fraction of a percent.

23:06

Speaker A

Yeah. So it's like.007%. Okay. So according to what he said, so he says that it's likely that 500,000 people in the world are super AI pilled right now. If not, like maybe even 250,000. So if you divide that by 7 billion, it's 0.007%. Right. It's a very small number. And Neil and I were talking about this yesterday because even though I would consider that I'm in some pretty AI pilled groups, I like to talk about this stuff. Neil's in a lot of these groups as well. Both Neil and I, my cto, other people. And I was talking to someone else today. He works at one of these companies. We can say less than 10 people we know that are super AI pilled. So what does that mean exactly? If 250,000, 500,000 people are AI pilled, what that means is we're going to need way more compute, way more electricity, way more. A lot of things. And agencies are not dead. Okay. The harsh reality of AI right now is maybe we're just in the second inning, maybe, and that's it. Right. But all this talk about, oh, agencies are going to be dead, no one needs ad managers anymore. This and that, you can say we're biased. But I just, I don't think you can say that for a lot of these roles and a lot of the roles that people don't want to do anymore, we're just, they're going to be reskilled into other areas. So harsh reality, only 250 to 500k. That puts things into perspective.

23:10

Speaker B

Yeah. And that means companies are going to have to pay others who are experts. This is why things like service based businesses or agencies are not dead. And I see them lasting for a very long time because people pay other experts. And you could say, well, why don't they just hire those people internally? Well, I can ask you the same question. Why don't people hire amazing SEO people internally 10, 15 years ago? You know, some do. Some pay external contractors like from like upwork and places like that. Some hire agencies, some hire companies where they place headcount into their organizations temporarily, like Tata or whatever it may be. There's another one from India, what is it called? Infosys or something like that. It could be off on the name where they'll place like temporary employees within your organization. So there's a lot of options. But I believe if you're really good at what you do, people will continually pay you. If you suck at what you do, people may temporarily pay you.

24:32

Speaker A

Yes. And I also think that it's never going to change that hard talent is hard to come by. Right. Because hard talent is always like a percentage of people. And that's never going to change. No. So anyway, I just wanted to call that piece out because there's a lot of, you know, doom and gloom all the time and sometimes I even call that stuff out. So that is it for today. Please don't forget to rate View, subscribe and yeah, we'll talk to you tomorrow.

25:31