We Did 320 Predictions, And The Results Just Came Back..

20 Apr 2026 · 23 min · 12 chapters

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In short

The hosts compare 320 YouTube predictions made over six months using transcripts and a YouTube API scoring prompt, then discuss how to use AI/pattern analysis and fast experimentation for marketing and revenue ops.

Guests

Neil (experienced marketer; “Marketing School” host) and Eric (experienced practitioner; also host). No outside guests are interviewed; later they mention unnamed “head of growth” at a well-known AI startup and executives at holding companies.

Key claims

Neil is ~65% accurate (right on SEO shifting to transactional/revenue keywords, creative as the mode, multi-platform persistence, AI overhyped short-term). Eric is ~72% accurate (right on technology trajectory like agents/coding and changing work). Together they cover “what persists” vs “what’s changing.” AI tools are good at patterns; use APIs to generate ideas and optimize quickly (“quick and decent”).

Notable examples

Neil’s “Madness in 2026” overshot; Eric’s “UBI” timeline too early. They cite a company growing from ~$1M to ~$20M+ MRR in 3–4 months via systematic AI ad variation (4,500/month). They review singlebrain.com: looks AI-generated but converts; Vodafone and HubSpot (Jim Pass) used it. They discuss “forced continuity” ethics and ROI-focused hiring/AI agent sourcing.

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

Analyzing Predictions

0:46 to 2:35

Discussion on the predictions made by Neil and Eric, including their accuracy and insights.

“Number two, AEI is overhyped in the short term.”

Lessons from AI Predictions

2:36 to 4:53

Exploration of how AI can aid in making better predictions and understanding market shifts.

“And this is what I'm trying to give to everyone here.”

Embracing Change in Marketing

4:54 to 7:30

Importance of adaptability and open-mindedness in marketing strategies based on new data.

“But if you disagree with someone, be open to looking at data and people who are trying the stuff that you disagree with, because you'll be shocked at how many times you'll find some winners in there.”

Aggressive Marketing Tactics

7:31 to 10:18

Examination of aggressive marketing strategies and their implications for ethical marketing.

“But we start looking at the processes and what people are doing.”

Website Conversion Debate

10:53 to 14:02

Discussion on website design, conversion rates, and the importance of rapid deployment.

“We have the single brain website up, okay?”

The Importance of Speed in Website Launches

14:02 to 14:33

Learn why getting a website live quickly is crucial in today's fast-paced environment.

Insights from Conversations with WPP Executives

14:34 to 16:15

Discover the challenges facing high-level executives at holding companies and their views on AI.

“My cloud cowork has been sourcing all these people.”

The Shift in Work Expectations Due to AI

16:16 to 17:09

Examine how the rise of AI is changing compensation expectations among marketers.

“Maybe they're doing like$100 ,000 worth of work.”

Hiring Challenges and Cultural Fit

17:10 to 19:05

Understand the significance of hiring marketers who align with company culture and values.

“But one other thing, going back to hiring marketers, I was just talking to one of my leaders about this the other day.”

Evaluating Marketing Strategies

19:06 to 19:55

Learn about the pitfalls of outdated marketing strategies and the importance of innovation.

“The reason we don't do it is because we don't believe that's a long-term strategy and it's useless.”
Show all 12 chapters

Sourcing Talent through AI Tools

19:56 to 20:37

Explore how AI can enhance the recruitment process and improve response rates.

“interviewing from WPP, you put out, I'm assuming, a job post, correct?”

Investing in Technology for AI

20:38 to 21:32

Discover the value of investing in high-quality technology for effective AI use.

“Yeah, so the reason I'm asking about the cost, some people also make their Mac Minis all out with RAM and stuff, so it adds up way more than...”
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Transcript

Automatic transcript. May contain errors.

0:00Eric Siu:So Neil, I did something funny with AI the other day. I basically had it look through the last six months of our YouTube channel. I used the YouTube API for this. And I asked it to look at the predictions you made and the predictions I made and score us over time. How do you think you did with your predictions?

0:17Neil Patel:I have no idea. Call it six out of ten, seven out of ten.

0:21Eric Siu:Okay, so check this out. So it basically, okay, so let me, I basically, here's the prompt that I use for everyone here, okay? So if you use the YouTube API for the Marketing School podcast over the last six months, how has Neil's predictions been versus Eric's predictions over time, right? And it looked at 320 videos over the last six months, okay? And it looked through all the transcripts. Okay, so where Neil was right, number one, SEO isn't dead, it's shifting to transactional and revenue keywords. Okay, that's number one. Number two, AEI is overhyped in the short term. The verdict is yes, he's correct.

0:57Eric Siu:Number three, you still need humans in the loop for paid media. Creative is the mode. Yes. And then number four, economy is starting to turn around, partially right. And then number five, multiple AI platforms will win. So it scores you on these things. And then it basically gives me, it looks at your things and it looks at my things too. And so basically, here's the key takeaway here. And I'm going to give you a couple of YouTube API use cases, but I just thought this would be funny to mention to Neil because he's traveling right now. So, Eric, where he's been wrong. So, number one, I said Madness will take over in 2026.

1:33Eric Siu:I overshot. Okay. Well, AI beat human IQ in 2026. They're actually right on benchmarks, but framing was sensational. Okay. And then I said UBI is going to happen. Deflationary utopia timeline. Right. Too early. So, where I'm generally wrong is I will overshoot my predictions. Right. Now, for you, where Neil has been wrong, Neil underestimates the speed of AI displacement and then downplaying the coding revolution, right? So it gives all these quotes here. So overall scorecard, to your point, Neil, you said six out of 10. It said Neil is right, batting about 65%, okay? Strength is market structure calls.

2:07Eric Siu:So multi-platform, SEO shifting, not dying creative as a mode. He reads the macro correctly. Weakness is he's consistently six, 12 months behind Eric on AI velocity. Eric, I'm batting about 72%, My strength is technology trajectory calls are generally correct. He's a practitioner, not just a commentator. His best calls come from firsthand usage. Weakness is he's tendency to extrapolate personal experience into universal timelines. The excitement runs ahead of the adoption curve. Okay, here's the main thing for everyone. So the pattern, AI does a good job with patterns. And this is what I'm trying to give to everyone here.

2:39Eric Siu:You use a YouTube API, you use an X API. It will spot the patterns for you and you can get better from it. And Neil, I never thought about it this way, but it says the meta pattern. why this podcast works, Neil, is Neil is right about what persists. So SEO, creative, multi-platform. Eric is right about what's changing. Agents, coding, K-shaped work. Together, they cover the full picture better than either does alone. That's probably why the podcast works. Isn't that funny?

3:03Neil Patel:It is. And my favorite part out of this whole thing was how it states you are sensational. I thought that was entertaining because it doesn't matter if you're sensational or not, but it was just funny how it picked up on that. And it was like, you know, but it was spot on. And I figured roughly what my batting average is because I said six or seven, I believe, right? And I was right in between, 6.5. Yep.

3:28Eric Siu:And by the way, like if Neil's at 65%, I'm at 72%, neither of us is really that much better than each other. That's why this thing works, right? And Neil's has a lot of experience. I have a lot of experience. That's all to say that we're going to be wrong a lot of times. Like three out of four wrong is still a lot. And so any podcast you listen to, you have to kind of apply your own level of experience and thinking to it. But my point of saying all this, like the way I use this for YouTube, we use it to generate new ideas. We use it to look at other competitive channels, to look at ideas they're coming up with.

3:57Eric Siu:When you leverage a YouTube API to X API, do these things and you combine them, it actually helps a lot from a content generation standpoint because these things are really good at pattern recognition.

4:06Neil Patel:What I've learned over the years, and I think this has helped us actually do quite well. if you look at the batting average here, right? So call it three out of 10 times, we're both wrong. All right. Eric and I love to be proven wrong. So when we have ideas on what we think work for marketing, we love when people internally or externally want to challenge us, not because it's a fighting battle, be like, I'm smarter than you, or I have more experience. It's actually none of that. It's more so great. Prove me wrong. Because if the data shows that we're wrong, we're really happy because we found a new channel, a new avenue for growth.

4:47Neil Patel:And I think that's the biggest mentality shift that marketers need to have. You're going to have ideas on what you think works or doesn't. But if you disagree with someone, be open to looking at data and people who are trying the stuff that you disagree with, because you'll be shocked at how many times you'll find some winners in there. And it's not because you're wrong. It's more so because algorithms change. So what works today won't necessarily work tomorrow. And what doesn't work today may work tomorrow.

5:17Eric Siu:Yeah. So your relationship with change, we've said this already, your relationship with change and adaptability has to be really strong in this era. And I'll tell you what, Neil, I just came from a call where I was arguing with this head of growth from a well-known AI startup. And he's like, I challenge you on this. I'm like, well, I pushed back on this. He's Indian too. So I knew it would be fine. Like, because the bickering that we do on this podcast, right, we bicker all the time. And it was just like that. We're bickering. I was like, I just want you to know I'm not mad. And we just kept going on.

5:42Eric Siu:It was a public. There are other people in the room. I'm like, you're wrong here. And now we're pulling up data, proving each other wrong. But in the end, we respected each other more for it. Like that's also part of it too.

5:52Neil Patel:And it's really cool because as marketers, you should be open to when people share data or experiments, even if it's a really small sample size, don't push it away. Look, because no joke, you can always end up learning something new. And I was giving a talk in Toronto. I don't know if we talked about this a while ago. I forget the exact revenue numbers now, but there was a company that grew from like a million to call it 20 something million and monthly reoccurring revenue within like a matter of like three, four months. It was a really short time period. Crazy growth. And sometimes when people are doing these kinds of things in the leveraging affiliates, a lot of their tactics are aggressive.

6:33Neil Patel:And a lot of the way in their messaging is aggressive. So people could be looking at it like, they only grew because it's shady. And that could be the case. But when I look at companies like that, and Eric looks at companies like that, what we look at is, how are you able to scale that fast? Okay. Yes, maybe the ads were over-promising. Maybe they're pushing boundaries on areas Eric and I would not want to push on. But oh, the root behind this or one of the root causes for growth is not the sensational type of marketing because you were doing that three, four months ago. It's actually used AI to create 4 ,500 ad variations every single month.

7:11Neil Patel:And now you can say, okay, that's not that hard. Let's just use tools and crank out 4 ,500 ad variations. But if you're not doing it in a systematical approach and you don't have some reasoning behind what you're creating, you're just going to create 4 ,500 ads. A lot of them will be duds and you'll lose money on a lot of your ads because bad ads means inefficient advertising. But we start looking at the processes and what people are doing. We then take those tactics and implement it in legitimate businesses and legitimate strategies and we don't push too aggressive and we don't promise the world.

7:43Neil Patel:And we found over the years, because we met a lot of these people at these masterminds. That's caused a lot of, I would say, our growth over the years. I met a ton of them at War Room, right? Just people being really aggressive with forced continuity.

7:56Eric Siu:Yeah. What I would say is, by the way, you want to explain forced continuity to people? I don't think many people know that.

8:01Neil Patel:Sure. So to give you context, this was maybe more than 10 years ago or something like that. Eric and I would be sitting down in a round table. So a mastermind, think of like a group of marketers all getting together and people talking about growth. there were some marketers who talked about like yeah i took a business from zero to a hundred million i know that's more common in today's world with ai 10 years ago that was not that common you're like zero to a hundred million bootstrap no venture capitalist how oh i sell anti-wrinkle cream okay what makes your cream so unique oh just the same stuff but check this out we do a free trial and then uh we charge every single month so i was like but how does that convert why would most people does not pay.

8:44Neil Patel:They're like, oh, we just say it's a free time. We keep charging people every single month until they cancel. That's forced continuity because you're charging people when they don't realize they're being charged. To me, that's not an entrepreneur who is good or clever. That's just someone being unethical, especially in marketing.

9:01Eric Siu:To me, that's a, I mean, to be fair, Neil, I would say that's a short-term thinking entrepreneur, not a long-term thinking entrepreneur. Very entrepreneurial still. We've always said this on the podcast ever since we started this podcast close to 10 years ago now neil do things do black hat things in a white hat way so the black hat things that work often they're they're innovating quite a bit right and if you figure out how to do it in a white hat way which is clean then you're going to get the best of both worlds and so that's why neil and i were always trying to learn we've just always found too that when you try to do things short term it never ends up working out

9:31Neil Patel:dude the first person that actually told me on the black hat thing the white hat way was ryan dice because when I first met him, I flew to Austin and everyone was doing like a soap opera series with email marketing, which is a way to like drive people through different emotions. And then eventually got cosmic convert or doing a tripwire where you get someone to buy something really cheap. That's an amazing deal. And then you upsell them on higher price items to boost your conversion rates and your LTV. Both those models work. So when I met up Ryan in Austin, I remember him saying, he's like, look, dude, this whole space with info marketers, it's a shitty space.

10:09Neil Patel:But some of these marketers do some really clever stuff. Take those tactics and apply them to legitimate businesses and legitimate offers. Quick break.

10:18Eric Siu:If you want to run personalized LinkedIn ads and have personalized landing pages to convert your customers at a much higher rate on LinkedIn, check out Carrot. That's K-A-R-R-O-T dot A-I. Carrot allows you to do things that LinkedIn ads does not allow you to do right now. Check it out. There are publicly traded companies such as SEMrush and Sitecore that are using this right now. And you can use this to get ahead because if you don't use this, it will take you weeks, if not even a little longer than that, to make these ads. Because again, you cannot do this on LinkedIn.

10:47Neil Patel:So again, go to www.karot.ai and we'll see you on the other side.

10:51Eric Siu:Dude, you want to speak of a... So I was speaking of arguing this week. I was debating someone. No, we can call this an argument. So here's the thing. We have the single brain website up, okay? And so this person who's a marketer, she was debating with me and she's like, this is AI slop. We have to redesign this page. And so here's what I said. I just said, hey, do you know how well this page converts right now? Like good or bad? She's like, I don't know. She thought I was trying to trap her or something. And I said, no, I'm just curious. You want to change this. You want to allocate resources to redesigning this.

11:24Eric Siu:How do you think it converts right now? She says, I don't know. Okay. So then here's the thing, Neil, that page, singlebrain.com, which is for sure AI, it looks AI generator, right? Doesn't matter.

11:35Neil Patel:Wait, pull it up and share your screen. We're on up here.

11:37Eric Siu:I'm going to share my screen. Neil, I'm going to get your feedback on this. Okay. So, and Neil will give his honest feedback. You know, I'm not telling him to say positive or negative things here. Take a look at this. You see this? Yeah. Okay. So this is single brain. Same headcount, 3X pipeline, 2X deal size, half the cycle time. Secure AI revenue agents. So that's what it does. Okay. So we build a managed team of AI agents that run your revenue operations 24-7. They source leads, write outbound, create content, recruit candidates, and get smarter every week. Work with us. I'm assuming you're pitching this to B2B companies.

12:08Eric Siu:Correct. This is B2B. These are revenue agents. And you scroll down. Your team spends time here. Here's the numbers over here. Here's your agent team over here. and then this is enterprise grade by default because we run it on NVIDIA, their enterprise runtime. So all that to say, okay, does it look AI generated? Yes, but would you qualify this as AI slop?

12:28Neil Patel:No, so I would only make a few main tweaks to it. I would reduce the white space, like there between the logo and the headline and between each section, there's a decent amount of white space. And I would also add more call to actions. But other than that, dude, this page isn't bad at all.

12:47Eric Siu:It's not bad for being AI gender. And I actually agree with Neil. Okay. So it took me like an afternoon to make this deal. Cause I didn't want to wait like six weeks to get a page up. Okay. Once we got this up, you know who came in? We got Vodafone came in. Okay. Enterprise company. They went through this. You know what I mean? Like it doesn't matter what it looks like. Like ready? Like this is all you need. And then we had, who else? We had Jim pass now known as well hub. They came through this too. So if it converts multi-billion dollar companies, who gives a crap, right? Just get it out right now and optimize it.

13:17Eric Siu:Come on, man.

13:18Neil Patel:If you're looking at the YouTube version, you'll notice when Eric was sharing, there's things like the logos aren't centered and stuff. And you'll notice that I did not say I would fix the logos here that I'm not saying you shouldn't fine tune those things, but most of those things do not have an impact on conversion. Your number one goal is speed and optimize for ROI. then someone else can go in there and fine tune the copy and adjust and tweak and a b test but it's like to me you you said you did this in a week and how many hours it took dude i did this

13:50Eric Siu:in two hours on my open claw and getting it up and launch it puts it on versell it it connected to my domain so i didn't know you know when you have to do like the whole like c name and like it did all of that stuff so it's got it set up on a domain and it got it live that's a great

14:07Neil Patel:website for two hours yeah if someone has an issue with it tell them to create go create a better one

14:12Eric Siu:in two hours exactly and here's the point neil said this guys we're not saying don't optimize and don't like design matters at the end of the day but in the beginning right now because the clock speed is so fast and you can you can roll these things back quickly you might as well just get it out now start collecting data and then optimize it don't say i'm going to take four weeks or eight weeks and do this because the human clock speed has changed it doesn't work anymore Human versus AI. Dude, I've been talking. My cloud cowork has been sourcing all these people. I've been talking to all these people from WPP.

14:40Eric Siu:Did I tell you about this yesterday? I think I did. No, not WPP. You didn't tell me about that. Oh, yeah. You told me a little bit about that. I've been talking to these holding company people. And by the way, these are like, we're talking COO, GM level, like, you know, executive VP. So they're high up at these companies, right? I'm like, so why are you guys looking to leave, right? And they're like, yeah, you know, we think the holding company model is done. And, you know, I like a lot of these people have said, oh, there's there's only so much I can take where I need to keep outsourcing to, you know, other countries for$20 an hour.

15:10Eric Siu:That's what the model is. I'm like, OK, cool. And they're like, yeah, we're not just we're not AI forward enough. OK, cool. So you must be very AI forward. What are you doing right now? Like, oh, I love ChatGPT. I pay$40 a month for ChatGPT. I make these agents that I was like, there's no$40 a month plan for ChatGPT. What are you talking about? Right. And you know what they do? They hide behind the whole like, oh, WPP. They only allow us to use these, you know, closed models or like, you know, we can't use all these other things, whatever. I'm like, just show me something that you built. You talk about these agents.

Read the full transcript

15:42Eric Siu:Just show me something. And then, by the way, Neil, here's the funny part. When I get to compensation, I'm more than happy to pay this compensation. I'll just put it to you this way. If you pay someone 500 grand and they make you 5 million, 50 million dollars, whatever. Yeah, worth it. Good ROI, right? Or if they want a million dollars. Assuming you have more than a 10 % margin of$500 ,000 and$5 million, but yes. Exactly, right? But the whole point is we want to return on investment. But what I'm seeing right now, Neil, is that people want, let's say they want a million dollars in compensation, but they haven't adapted and their work is being deflated away.

16:14Eric Siu:It's becoming deflationary. Maybe they're doing like$100 ,000 worth of work. And so all that to say is that the clock speed has changed and they can see the clock speed's not working at the organization anymore, but they're not changing their clock speed. Dude, totally. And it's so funny how people are like, yeah, I do this and I do that.

16:31Neil Patel:And they don't really actually do it or when they'll make the excuse that, oh, my company does not. Oh, cool. So what do you do on your spare time at home? Because your company's not restricting your home internet and it's very little. But overall, the single brand website, it's good. I used to tell my employees before AI really pushed hard is quick and dirty. Just give me something and get it up. Now I tell them quick and decent because AI, you don't need something dirty. It's good enough where you can get something decent in the first round really fast. I like that. When did you come up with that?

17:04Neil Patel:Quick and decent. That's good. Like four months ago when I was telling them quick and decent.

17:08Eric Siu:I like that. I like that. Quick and decent. That's good.

17:10Neil Patel:But one other thing, going back to hiring marketers, I was just talking to one of my leaders about this the other day. We had a person that we hired in Southeast Asia. And the salaries there are quite affordable. Let's call it less than six figures or somewhere around there, maybe with taxes and stuff like that. I'm talking about USD. So if you do the currency exchange, they're like, oh, it's quite a bit. That's great wages there. And I remember telling the person when I first met them, this person won't work out. And they're like, why? I'm like, they're not a go-getter. They're not going to close business.

17:44Neil Patel:They're trying to coddle people. I'm like, this doesn't work out culturally for us. I'm like, this person is not going to end up working out. You can figure out what you want to do when. I'm like, you're running this region. You figure it out. But I'm like, this is just my two cents. And I could be wrong and I'm happy to be proven wrong. They eventually figured out the person's not going to work out. So then they come to me. I was like, oh, who'd you end up replacing with? And they told me like, well, I want to look at budgets, maybe sometime next year, we'll figure it out. We're going to do this and this internally so we can cover it and there'll be no issues.

18:14Neil Patel:And I said, you know what you should look for? And like, what? I'm like, there's this other country that's close to the one that we're operating. Technically, we're in both. I'm like, you can get a leader that works on both at the same time because these two countries are next to each other. And they're connected by land. and I was just like, you should, and it's a quick flight and people in those two regions work in both countries and they share the same language. And I was like, what you should do is look for someone who costs two to three times what you were paying, ideally three. And like, that's a lot.

18:44Neil Patel:And I'm like, yeah, good people produce better results. You go the cheap route, you're going to make less. It's like, you can't start looking at it. It's like, I paid this marketer$300 ,000 a year. Well, if they made you$60 million in revenue growth, give him a bonus like who cares more power to him and this is where i think people get wrong we interviewed a marketer who worked for one of our competitors and they're like we can help you get at npd so much more llm traffic look at this playbook that i'm running and i didn't hire them they wanted a good amount of money it wasn't that their playbook was we just create you know 500 articles on our own website listicles talking about how our agency is the best for x y and z i'm like I get that works now.

19:28Neil Patel:The reason we don't do it is because we don't believe that's a long-term

19:31Eric Siu:strategy and it's useless. Also, welcome to like five years ago.

19:34Neil Patel:Yeah. Well, this is for LLMs, but yeah, it's five years ago for SEO or 10 years ago for SEO, but they're like, this will work for LLMs too. I'm like, it does work right now, but it won't work that long.

19:44Eric Siu:Yeah. Yeah. So anyway, it goes back to how we started this too. You want to go for black hat things that work in a white hat way, even though programmatic's technically not black. Maybe it's a little gray if you spam it too hard.

19:54Neil Patel:So going back to the people you were interviewing from WPP, you put out, I'm assuming, a job post, correct?

20:00Eric Siu:No. So this is Claude Coworks sourcing based on our careers page and our Beat Claude challenge.

20:06Neil Patel:So they're emailing out people or messaging out people?

20:10Eric Siu:So it's actually on my other computer right now. And our team does this too. So it logs into the LinkedIn recruiter and it just sends messages from that. Yeah. And it personalizes it for every single one. And the response rates are great. I'm like, this is better than juice box which is what we pay 500 bucks a month for or something like that but i've been having really good conversations like if anything it's like i could pick some of these people up later but there's there's been some really i will say guys um the vast majority vast

20:36Neil Patel:vast majority of people are still not ai4s so no and then uh for that open class setup how much did you pay for the computer i'm assuming it's a mac mini yeah it's it this one's a mac mini but i have

20:47Eric Siu:the the dgx sparks next to me too you see this i just i set that up over the weekend ah cool How much did you spend on the Mac Mini? So the Mac Mini,$700.

20:57Neil Patel:Okay, and the DGX Spark?

21:00Eric Siu:Dude, these are like five grand apiece.

21:02Neil Patel:Yeah, so the reason I'm asking about the cost, some people also make their Mac Minis all out with RAM and stuff, so it adds up way more than...

21:10Eric Siu:Well, that's my Mac Studio. So we're talking on my Mac Studio. That's all out with RAM right now.

21:13Neil Patel:Okay, and the reason I mentioned that to Eric is, if you notice, he's spending the money. People look at AI costs like, Oh,$5 ,000, that's expensive. Well, if you're spending$1 ,000 a month in tokens and it helps you save that by one time cost of five grand, you'll make your money back in five months. You can't be penny wise, pound foolish.

21:32Eric Siu:So anyway, that's a good place to end it. We will see you all tomorrow. Don't forget to rate, review, subscribe.

From the publisher

Eric and Neil break down how they used AI and the YouTube API to analyze 320 episodes worth of predictions, score who was more accurate over time, and uncover the deeper pattern behind why the podcast works. They also get into why marketers need to stop protecting their opinions, how APIs can surface content opportunities faster, why speed now matters more than polish, and what today’s “AI-forward” operators are still getting wrong.

Key takeaways
◾ AI is great at spotting patterns across large content datasets.
◾ The best marketers use data to challenge their assumptions, not defend them.
◾ Speed matters more than polish when you can launch, learn, and optimize fast.
◾ “Quick and decent” beats waiting weeks for something perfect.
◾ A rough-looking website can still convert if the offer is strong enough.
◾ Many “AI-forward” marketers still have very little real execution.

Chapters
(00:00) AI scores 320 predictions
(03:02) Why APIs are so useful for marketers
(06:04) What aggressive marketers can teach you
(10:48) Why an “AI slop” website still converted
(14:35) The real problem with “AI-forward” marketers
(17:09) Why better marketers are worth paying for

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