The Luxury Era of The Creator Economy Has Arrived

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0:00

Okay.

2:44

$300 cpm. $300 cpm. Okay. 20 ads a day. True respect. So when you look at this one, 250 ads. 250 episodes. 20 ads per episode. $5,000 that you can make per episode. Right. And sponsorship packages. 20. Average sponsor deal is 500 grand. 10 million in revenue. Average sponsor deal over here. And they just do the math. Cost per ad, 2 grand views. Proposed 6,000 CPMs. 333. Main thing again is they know they don't have heavy, heavy volume. They might have like 2,000 to 5,000 listeners a time, but they know it's really valuable.

2:45

So. So, yes, because one of their listeners could listen to ad and then sign a multi million dollar contract.

3:17

Yeah. With Salesforce or something like that. Yeah.

3:24

Right. I get why people spend it. If you're a big company too, you just have to end up spending money on brand awareness. And that's why a lot of companies do super lots because they just have so much money to spend.

3:25

You've seen this, right? As you scroll by. So the cool thing is like, and I know one of the co founders at Ramp. I should reach Ramp is a presenting sponsor. So they put the sticker up there and then they have these like Formula one hats where it's like marketing school and you have all the logos that sponsor you. I'm like, that's pretty cool. Imagine we have like an orange one. McLaren. That'd be pretty cool. See, I don't have time to manage this, nor do you, but it'd be nice if someone would manage it.

3:34

Yes.

3:54

Yeah. Anyway, you can pick another one.

3:55

All right, let's go with. Let's see. Goldman Sachs A agents will overtake SaaS quickly.

3:57

Oh, did you see this graph here? Let me show it to you. Okay, so this, I keep calling it a graph. It's a chart. No, it's a graph.

4:06

Same thing.

4:15

Yeah. So, okay, the profit pool in software is expected to shift towards AI agents. So this is a study from Goldman Sachs. So this shows the illustrative shift in total addressable market TAM for software as a service, SaaS and agents over time. So you see in 2025 over here, then it goes to 2026. Okay, 2025 you have SAS TAM. And Asian TAM is relatively the same at 30 billion. Okay. Then you go to 2026, you know, kind of the same. And then you go to 2027. And then agents start to move higher while SaaS starts to go downwards. Right. You go all the way to 2030 where the agent TAM is 50 billion. SAS TAM is down to 20 billion.

4:15

This is just so confusing because most of SaaS companies.

4:52

I know, it just becomes this.

4:55

Yeah. Agents and are creating agents for their customers. I'm like, this is Goldman Sachs. They're just creating a bunch of bullshit.

4:57

Yeah. So that, that's. So that's exactly what I was going to say. Right. Like wait, this doesn't just disappear, it kind of just becomes this. Yeah.

5:03

HubSpot's been big on agents. Didn't Dharmesh by that agent web domain.

5:09

He bought a lot of. You know, he started OpenClaw site this week to have been talking about OpenClaw and Cloudbot like he started. So what we've been saying earlier is that a lot of this stuff is going to shift towards outcomes. Like even SEO software, this is going to shift towards outcomes because people just. People ultimately don't want to do things, they just want things done for them.

5:13

Yes.

5:30

Yeah, that's how it is. And so let me just see. Oh, this OpenAI frontier thing, I got to check out. You see that today?

5:30

No, but I've been watching crypto prices all day.

5:38

You have? Oh, you're waiting. I still think there's more room to drop.

5:40

Oh, me too.

5:44

Yeah.

5:44

Not financial advice.

5:45

Yeah, not financial advice. But you called this a couple months ago. Okay, so let me just. Goldman Sachs thing and then we can move on. A recent Goldman Sachs research projects. AI agents are set to take over the profit pool and software agents are expected to account for 60% of software economics by 2030. I think whoever wrote this should be fired. That's what I think. Yes. Yeah.

5:46

Dude, you want to hear something interesting? Because we were talking about crypto processes for a little bit.

6:08

Yeah.

6:11

So I texted someone earlier this morning because they had shares in a crypto company and I said, happy you liquidated some. I'm like, you can't control prices and why live in stress? Each day there are place where their shares are worth so much they could just buy a home free and clear and that would be life changing for them. And I told them, do I know this person? Yeah, you know him.

6:12

I'm like, tall person. Yeah, yeah.

6:33

I'm like, if it goes to zero, you're screwed. If it triples, quadruples, yes, your life gets even better. But going to zero really screws you over.

6:35

You can't afford to go to zero. Yeah, you can't afford it.

6:45

I'm like, you should at least start liquidating. Eventually they started.

6:46

Yeah.

6:50

And I told them, like, no one can predict when it'll go up or down or any of it. It's all random. So then they text me back while we're recording this podcast. Yeah, looks like it definitely has hit the bottom, though. Have been holding above X, you know, price. They're talking about their stock, which is just above, you know, the value of, you know, their book or whatever it may be that they're claiming based on whatever's public information. Like you can Google this company and you can actually see all their holdings because they have to report it. And. And this person isn't an exec where they know all the financials for quarterly earnings or anything like that. And then he straight up said over text, have been. We've been one of the strongest, you know, stocks in the last few days. People are deleveraging, it appears across the market. And I responded with, no one knows the bottom. Sadly, it's all a big guess because the moment they say they think their stock has hit the bottom and then they're crossing their fingers, no one knows any of that.

6:50

Yep.

7:52

And then they respond with, sure, could definitely go lower and trade for free, essentially. But also why it took some off the table. What do you think is going on? And no one really knows what's going on. Whatever happens, happens. You can never predict the bottom. All you can do is invest in companies you believe in. And I'm not saying their company is good or bad, but it goes back to the Warren Buffett philosophy. I wouldn't want to hold their stock for 10 years or 20 years, whether it looks like a buying opportunity or not. I'm not a buyer because I wouldn't hold it. Right. I'm not recommending people buy Bitcoin or cryptocurrencies, but certain things like Bitcoin, I'm a believer that I would still want to hold it five years from now. I don't know if the price is going to be worse five years from now or higher, but when you believe in something, it makes the pill much easier to swallow when things go wrong. And if you're not really, if you don't believe in the company, we're willing to hold it during its down times and just keep pushing through, then don't buy it in the first place.

7:53

Well, and Warren Buffett's saying, if you're not going to hold it for 10 years, don't even hold it for 10 seconds, right? Yes, it's the same thing here. And so that's, I would say the psyche. If maybe those of you that are listening to this are a little younger. You might think trading is the way you see all these people on YouTube. Oh, you look at this red candle over here and this, you know, I think the downside is this and that. And then they draw it all another line and goes like this. I'm just like, what is this? Oh, dude.

8:54

And that same person used to be like, oh, after every bitcoin having it.

9:14

Goes up like this. And this is what the stock's four year cycle.

9:18

I'm like, dude, people are just talking out of their behind.

9:21

Yeah. It's like they're trying to just justify something from out of nowhere. So yes.

9:24

Just because something happened in the past doesn't mean it repeats itself again in the future.

9:28

What do they say? They say history rhymes, but it doesn't repeat. It rhymes, but it doesn't repeat. So keep that in mind.

9:32

I haven't heard that one before.

9:38

I like a lot of good quotes. They see we need some good clips anyway so, so way I'll speak for Neil too. We're hiring good clippers. So if you, if you're really good, by the way, don't, don't send me a DM with like how you're good at it. Show me examples on the work that you did for us.

9:39

And yeah, he nailed it when he said for us. Don't take other random people and show us the clipping.

9:53

Yeah, show our stuff.

9:58

You don't have to show us a lot, just enough where like sounds good.

9:59

You're hired. Some guy before I show you this open AI frontier, some guy had like a lot of followers and he looked at his profile and he like he has a lot of good clips. I was like, you know, if you really want to stand out, I would recommend that you know, doing what he's a. Well, we have a good, a lot of good examples. Whatever. I'm like, but yeah, you just look like everybody else. So good luck to you and your business.

10:02

But let's go back to clipping for a Bennett. Didn't you hire a company that was doing all these clips for you?

10:19

And I'm still doing it. Okay. But what I've realized. So they're, they're good at it. I've realized. So pblaunch shout out to PB launch. I've realized that when I'm like this, I enjoy making the videos and they're, they tend to do better. Right. The problem is when someone writes the scripts for me, I tend to just let it, I just follow it and, and I look at the performance and it's. It's just not that good. Right. Don't get me wrong, it's creative. It's like there's clone videos of me and all this cool stuff. But I like talking about the stuff we talk about.

10:24

So. So what I found to be super effective. And you can do this with your team. We go and interview the people who deal with specific things for clients. So someone may only deal with Reddit for clients. We'll have people who only deal with Instagram for clients or meta ads for clients or LinkedIn ads. And you get the point. Email marketing. And we will talk to them about not just what's new and fresh, but more importantly because I already know most of the stuff. It's more so what our customers continually hitting you up for and what issues do they have and what problems are they trying to address? And we look for enough people saying those, giving them those signals. Then we create a script around those problems and then the solutions we provide and then we integrate case studies and then we release those videos. You don't get as many views, but you get more customers. Works really well. I found it very efficient. Your writing knows to do this.

10:53

I'm going to do this with my little. Because it's very doable. So you know what I've done recently, right? So because a lot of our calls are saved, I want to see over time kind of how people, how teams are adopting AI and what the AI score is relatively. Or it can even score you on like, hey, Neil's like trending over time on core values. And it cites actually examples of quotes that you say. And so I tested this recently and it actually said like, oh, like Sean CTO, for example, right. Like, you know, his AI fluency is like, you know, 8.8 out of 10. And it shows some examples exactly what he said. And it also shows some other people on the team where it's like, hey, maybe this person's like a little behind. Now I can literally take that framework and use it for what you just mentioned over here for content ideation. And it could just pop up like, deal of the day, deal of the day.

12:00

Yes, but we don't like just using recorded calls. I understand that. Especially if you get approval. The reason we like to talk to the people on our team is a recorded call will tell you what people are asking, but it doesn't tell you what people are willing to pay for it. So what we find is when you talk to people on your team, there's certain issues that maybe not the majority say, but enough people say, and someone's willing to pay you a half a million or a million dollars to solve.

12:41

That problem while they could get a.

13:12

Reddit problem that a lot of people are asking you for, but people are willing to spend 10 grand for.

13:14

I'm confused. Why would your calls not be recorded?

13:19

No, no, I'm saying let's say your calls are recorded, assuming you're getting permission. If you have recorded calls, potential sales calls, what they're willing to pay for their problems varies a lot.

13:21

Yeah, yeah.

13:33

Versus when you talk to someone, let's say if we're just focusing on Reddit, if you have a hundred recorded calls of potential customers talking about their Reddit problems, you can create a video on that. AI can help you with that. But what we found to be more effective is because with the recorded calls, like if you use GONG and stuff like that, it's really easy to parse and get the data from. But what we found to be better is when we're talking to our sales reps and our team that works on, let's say, Reddit, for example, because we're using Reddit for this case and they break down what our best customers, the ones who are paying us the most and sticking around the most, are having issues with Reddit and how we solved it and we look at all the commonalities and then create content around that versus what just the majority of the recorded calls say. We tend to pick up better customers because it's appealing to our ideal customer profile versus anyone who has a Reddit marketing issue.

13:34

Wait, but I'm still missing. It's like, so how do you have that conversation if it's not recorded? Because we have GONG in all of our calls and it's declares that it's recording.

14:27

Yes, but I'm talking about, we will go and talk to, let's say Noah here, let's say he runs Reddit marketing for our corporation. We'll ask him the biggest issues for client related calls. We don't recall all our calls. So let's say he has a company, there's a company, X Single Brain.

14:36

Yeah.

14:54

And he's talking to you and you already signed up. The conversations are gonna be different than what they are for.

14:54

I think we're on the same page. So I think you might have the, the gong calls, but I think you, you're still talking to people too on the side, but you're Trying to get whatever data you can. So I think this is. This is kind of similar to what we were talking about earlier in the conversation is this is not the end all, be all. You know what I mean? It's. You still need to have conversations. Yes.

15:00

But we're finding if we use data from recorded calls, the content quality isn't that good.

15:16

Yeah.

15:20

And the reason is, is we have too much volume and what people are looking for varies drastically. While if we just pull out what our ideal customers are looking for and base it off of that. Yeah, it's much better content, not necessarily from the views, but from a conversion from a watcher to becoming a customer.

15:21

But you can also segment those calls too.

15:40

You can, yes. That's.

15:42

So my point is, I think a lot of this is. This does, again, amplify AI, amplifies your nature.

15:44

Right.

15:50

So hopefully you're someone that thinks a little step, a couple steps like, hey, like, don't just take the data for what it is, segment it, but also use that with actual conversations that you're having in person too. So the final thing to call out here is this OpenAI frontier thing came out today.

15:51

I just have one business question for you. So you record all calls. Your clients will let you record calls after they become a customer?

16:04

Yeah.

16:11

Oh, we can't do that.

16:11

Yeah, you can't. But like ours, our thing keeps declaring. There's a call recorder and they. Some do ask us to remove it and we do. But.

16:12

Yeah, no, no, almost all our clients don't want it.

16:20

The vast majority of our call recorders are in there. Yeah. Yeah.

16:22

I would say if I have. If we have 10 calls with customers, I'm lucky if one lets us record it.

16:25

Yeah, you probably have some type of. It's probably these enterprise ones. Yeah. Yeah. So, okay, so speaking of Enterprise, ish company OpenAI today. So they just introduced. Today, this is breaking news. They introduced Frontier, which is a new platform that helps enterprises build, deploy, and manage AI agents that can do real work. Frontier gives agents the same skills people need to succeed at work. Shared context, onboarding, hands on learning with feedback and clear permissions and boundaries. That's how teams move beyond isolated use cases to AI coworkers that work across the business. So Clay actually just came out.

16:31

So they're.

17:08

They're part of this. And I want to. I want to share this Varun. So Varun is. So Clay is one of six companies join OpenAI's New Frontier program. Tomorrow's best companies will run on AI across every function. Clay is already a creative tool powering growth teams at cursor ramp, figma and OpenAI itself. Now we're making that same power available for enterprises through OpenAI's new platform. So here's what it. Here's some ideas of the benefits that we can talk about. You know our reactions to this. So here are some ways clay and OpenAI help GTM teams use AI to grow together. Number one, Rev Ops and GDM engineering teams can turn their CRM into a living entity, one that automatically refreshes the dupes and services accounts that are ready to buy. Okay, that's cool. Number two, sales teams can score companies showing buying signals, pull verified contacts, generate personalized messaging, and sync everything to their CRM. Marketing teams can build targeted audiences and ship relevant creative campaigns from ads to landing pages to email. I think the main thing here is that you have all. Imagine your sales team, your marketing, they're all working within their own context. If you have shared context, you're going to be able to move a lot faster. Yeah, yeah. So Clay's doing this. Clay's in Sierra Harvey, which is a lawyer one.

17:09

Sierra is Brett Taylor, right?

18:17

Yeah, Brett Taylor, which I guess on.

18:19

The board of Open Air, they make.

18:21

They make bots, I guess. But I think the Clay one, a.

18:23

Lot of Sierra stuff is manual too, right, Is what they're saying.

18:26

I think they use a Palantir model, which is like they have the scaffolding and then they customize the chatbots for every client, which again, I think that's the future of software. So anyway, going back to this piece, if you're able, because here's my thing, right? I'm like, okay, I have so many ideas when it comes to sales GTM marketing. You do too. But how do you make sure this stuff is happening? And I remember Dharmesh posted about vectors a long time ago, where you want everyone kind of pointing in the same direction because if, if I want to do marketing this way, you want to do marketing this way, we're actually neutral. We're not moving in the right direction. You want everyone moving together. And you can actually see now you can onboard people the same way and all that. This just came out today. I'm excited about it and maybe I'll go try it when I go home.

18:29

On a side note, did you see that ads that?

19:06

Oh, yeah. Do you see the one with the workout one? Yeah, the workout one.

19:10

I don't know why I'm blanking on the company.

19:13

We were just talking about anthropic versus anthropic made these ads, super bowl ads, basically. They weren't calling out OpenAI, but they were saying, hey, we'll never have ads in our products.

19:15

It was hilarious.

19:28

Yeah, it was funny. So we'll just describe it real quick and highly recommend you watch. I think they have 4, 14 ads that are coming out, but one guy's like, you know, I'm trying to. I want to get a six pack. And then there's this one ripped guy.

19:28

He's like.

19:40

He's like the AI, right? He's like, perfect. That sounds like a very reasonable plan. Here's how you do it. And the guy's like, amazing, right? And the other guy's like, okay, well, in order to get started, sign up for this brand over here and we'll give you this discount. And the other guy's like, what? Anthropic will never have ads. Cloud will never have ads.

19:40

Yeah. Yeah.

20:00

And then Sam Altman responded.

20:00

Yo, he was pissed.

20:02

Yeah. So the funny thing about that response is someone who is a very popular VC, tweeter, Twitter, he likes both Claude and OpenAI. He's like, dude, the Sam Altman response was. And I can say this, like, he seemed like his butt hurt. He's like, you know, just to let you know that the ad was in good, you know, jest. I laugh at it, but just so you know, Texas has more chat GPT users than all of Claude.

20:03

Right.

20:26

There's, like, no reason to say that. And it's not like Anthropic was. Anthropic just wants their users. It wasn't like calling out OpenAI, so I thought it was. He's a little butt hurt about it.

20:26

Yeah, I. That was funny. Yeah, I watched him. I enjoyed him a lot. That's pretty much it. I think we're done.

20:35

So that's it for today, guys. Please don't forget to review rate. Review and subscribe and we will see you tomorrow.

20:41