In short
Marketing School Episode Notes: 8,000 People vs. 1 Chatbot – Who Does It Better?
Podcast Title: Marketing School - Digital Marketing and Online Marketing Tips Hosts: Neil Patel and Eric Siu Episode Number: 3007 Date: [Insert Date of Episode] Description: In this episode, Neil and Eric discuss the impact of AI on employment and marketing strategies, focusing on the implications of AI replacing traditional roles, the value of brand and distribution, and emerging trends in marketing.
Time-Stamped Show Notes
(00:00) The Impact of AI on Employment
- Discussion on IBM's layoff of 8,000 employees due to automation.
- Introduction of 'Ask HR' chatbot utilizing IBM's Watson X Orchestrate, achieving 94% automation in HR tasks.
- Notable outcomes:
- $3.5 billion in productivity gains.
- 40% reduction in HR costs.
(02:26) The Changing Landscape of Marketing
- Growth in AI integration within marketing roles.
- Shift towards automating various tasks in customer service and sales.
- Mention of internal discussions about replacing expensive software with AI-driven alternatives.
(04:36) The Moat in Business: Brand vs. Distribution
- Neil's Perspective: Brand is the primary moat, exemplified by Michael Jordan's brand in footwear.
- Eric's Counterpoint: Distribution is becoming increasingly important, especially as traditional marketing strategies evolve.
(06:13) The Rise of LLMO and Content Strategies
- Growing user demand for platforms like YouTube and Reddit.
- Traditional content acquisition models are failing, leading to inefficient marketing spend and increased customer acquisition costs.
- Concerns over outdated marketing strategies wasting up to 80% of budgets.
(09:54) Controversial Marketing and Its Implications
- Examination of companies like Cluey using controversial marketing strategies to gain traction.
- Discussion on the sustainability of such strategies and potential backlash.
(11:53) Synthetic Customer Development and Future Trends
- Introduction of 'synthetic customer development' as a method to gather insights from past customer interactions without direct interviews.
- Example of a company using call transcripts to create a custom AI for understanding customer needs.
- Anticipation of increased efficiency and growth through innovative uses of AI.
Key Takeaways
- AI's Role in Employment: Automation is leading to significant job displacement in sectors like HR, showcasing the efficiency of AI over traditional human roles.
- Brand vs. Distribution: The debate continues; while brand loyalty remains significant, effective distribution channels are emerging as critical for business success.
- Inefficient Marketing: Many businesses are struggling with high marketing spend inefficiencies, driven by outdated strategies that fail to leverage new technologies.
- Emerging Marketing Strategies: Controversial marketing can drive engagement but may not be sustainable in the long term. Synthetic customer development offers a promising alternative for gathering market insights.
- Future of Marketing: AI will continue to reshape marketing strategies, calling for adaptation and innovative approaches to remain competitive.
Conclusion In this episode, Neil Patel and Eric Siu discuss the transformative effects of AI on marketing and employment, emphasizing the importance of brand, distribution, and innovative strategies in navigating the future landscape of digital marketing.
For more insights and strategies, listen to the episode and check out the hosts' YouTube channels.
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Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:01I want to move over now and talk more around kind of how things are changing in marketing in general Because there's a couple of things we can touch on here. So marketers are using cursor now, what people actually want for marketing services. And then also the fact that IBM just cut 8 ,000 people against one thing. May I? Yeah. So maybe we can start on that one first. So 8 ,000 people versus one chatbot. So who does it better? Obviously the chatbot did it better because IBM cut 8 ,000 people. Yeah. So I'm just looking at this one over here and IBM laid off 8 ,000 HR employees, not for budget, not for performance.
0:33They got replaced by a chatbot. But that bot is called Ask HR and it runs on IBM's own AI engine, Watson X Orchestrate. Okay. 94 % of HR work automated. Pay, vacation, paperwork, even terminations. 3.5 billion in productivity gains. 40 % drop in HR costs. IBM built a system that made these types of layoffs possible. Now they're selling it to everyone else. Package, no code, enterprise ready. But you're going to start to take a look at this afterwards. I don't have that many people on HR, but yeah. IBM calls it innovation. Let's call it what it is, y 'all. one of the first at scale white collar replacement experiments and it worked yeah i i think i was just texting with a mutual friend this morning and i'm like so how many of these ai automation people do you have now a couple weeks ago it was two now it's six it's growing pretty quick i'm like so what's the job automate everything they can and then replace where we can um and build these flows where we can and then they're like we're on a mission right now to replace our internal gong i'm like that doesn't seem really difficult to build it's gonna take a little time but he's like, yo, it's going really well right now.
1:34Wait, why do they want to replace Gong? Expensive. Yeah, but Freshworks, is it Freshworks is a company? They have a Gong alternative that's really cheap. How much is it? It's like a fraction of the money. It's not like half the cost. Yeah, I think they want to see if they can build workflows to just replace it. Sometimes it makes sense to just pay for the cheaper one. Yeah. So instead of trying to build it, but like, you know, they have their own philosophies and there's no right or wrong answer for that. But I think we're going to see a lot more of this. And look, we saw it happen with customer service.
2:05Now this is HR. We've kind of seen it happen in sales a little bit. I think what's up next? Maybe creative, maybe marketing. Yes, but looking at Gong, I just checked this out. This is a March 5, 2025 article. Gong has passed$300 million in annual revenue. I did not know that. They're a good size. They're still growing. They're still growing. Yep. All right. So this one is interesting. What do you think the only moat that's left in business is now? I think the only moat in business, and there's only one, in my opinion, and I could be wrong. Or let me rephrase. For most businesses, because there could be some moats.
2:48Like, for example, you saw the Pentagon invested in a rare minerals earth company for$400 million or$400 billion or something like that. there's some moats like there's only so many natural resources and I own them like you can't that's called a corner resource yeah but if I look at like moats for most businesses the real moat that I see is a brand I think there's not really much of a moat other than that because if you and I go try to create shoes that are better than Nike or Air Jordans let's actually use Jordan as a brand Jordan has a strong following it's not about you and I creating a more comfortable shoe or a better looking shoe, we don't have that Jordan cachet, at least when it comes to athleisure wear, footwear, because we're not Michael Jordan.
3:33That to me is a true moat that is just too hard to get around, even with AI or technology and even time. So I think we're saying similar things here. I believe that the only moat in business now is actually your distribution. So if you look at Google 10 years ago, and you know this a little bit, 10 years ago, two pages scraped one visitor. Six months ago, six pages scraped one visitor. Today, it's 18 pages scraped one visitor. And then Anthropic, six months ago, was 6 ,000 pages scraped per one visitor. Today, it's 60 ,000 pages scraped per visitor, right? So the Cloudflare CEO said that if the business model of web has been searched fundamentally for the last 35 years, you get value by subscriptions, ad, or fame.
4:10All three of these things are going away and they're going away fast. And so this guy, only CFO, not only fans, but like only CFO. So he's like, look, as a finance leader at a software company and a small-scale influencer in the finance accounting space, I have been seeing the problem firsthand. Everyone is fighting for eyeballs. Competition is greater than ever. AI is commoditizing software. Traditional content strategies are breaking. I think we can agree with that. AI is radically changing the methods of getting attention. Yes, which we can talk about in a second, like what we're seeing people actually want.
4:36Customer acquisition costs are rising. So there are a lot of companies wasting absurd amounts of money, marketing money in 2025, running old playbooks. The joke used to be half of the marketing budget is wasted, but I don't know which half. Today, for many companies, it's like 80 % of the marketing budget is being wasted. So yesterday when I was at this AI potluck, one person manages a bunch of influencers and like, here, I'm like, so how does it work? How do you decide how much to pay? It's like, oh yeah, we just throw 50 grand here. Meta will give us money. We'll throw 100 here. I'm like, so how do you measure?
5:05Oh, we don't, right? But he's like, she's like, that's how the game is played now. And no wonder it's like, you know, Adobe or Snap will come to us and try to throw money at us. And then they like, they don't know how to measure it, right? But I do think, to your point, brand is the moat, distribution is the moat in this world that we're in now. And then I just think, like you look at what people are looking for now. They want LLMO. They want YouTube. They want Reddit. They want stuff that isn't the stuff that people were looking for, like at a much more aggressive pace a couple of years ago. It's shifting quickly.
5:37It's shifting really fast. I also think there's gonna be a day of reckoning in the AI marketing space where companies are gonna be like, whoa, whoa, whoa, we're spending all this money on this technology that's gonna make us more efficient, but we didn't see our revenue go up or profitability go up. What the heck are you burning all this money on? It doesn't mean that the technology is bad. I think there's a big issue with how marketers are using the technology and many of them are just spinning their wheels and doing a lot more work with AI, but this work is irrelevant, has nothing to do with their bottom line.
6:08They think it looks cool, but at the end of the day, your CFO, your CEO, none of them care unless you can move the needle. Yep, 100%. And you're seeing the same thing, right? People are looking for LLMO, YouTube, Reddit. What else are you seeing an increase in? We're seeing it in everything LLMO related. And we're just seeing crazy inefficiencies and people burning money and not having good KPIs in mind before they burn the money. Here's a question. Are you charging more for LLMO? No. Around the same. But you're not charging for rankings. You never charge for rankings. We never charge for rankings.
6:44But when you're looking at LLM optimization, we look at it as a lot of the fundamentals are similar to SEO, but there are some other different stuff as well. So we charge for what the work is. And it really varies company to company because some companies have like, they're in 20 different countries and all these different languages and they have like 50 different divisions. So it depends how many you're helping, how hard it is. And it's the same thing, just like SEO. Dude, I got a good one for you here. So you know Jason Cohen from WP Engine? Yeah. So, okay, WP Engine, they used to do 400 million.
7:18Smarter Bear or whatever it's called, right? So he tweeted this. So his basically premise is like, no successful SaaS company has a strong social account. And I think it's actually more, no successful B2B SaaS company has a strong social account. Do we have any counterpoints to that? Because if you think about it, who actually is, wait, repeat the line again. No successful B2B SaaS company has a strong social account. Like Salesforce, HubSpot? Oh, HubSpot actually does. HubSpot with their YouTube. Is it strong? Ahrefs with it has a good YouTube. HubSpot is pretty good. Ahrefs is pretty good. Yeah, but even then, it's not strong like the consumer ones.
7:56Yeah. You agree with that, right? I agree with that, yeah. Like if I look at like HubSpot's Instagram, that's a great example of it. They have 621 ,000 followers. What's like the average view? I'm looking at the reals. Nah, dude. like 10 ,000 real views, 16 ,000, 11 ,000, 20 ,000, 17 ,000, 14 ,000, 26. It's not bad, but, and this is not, I'm not trying to hit on HubSpot. We have the same problem for our B2B company or even our SaaS. There's just not a lot of viewers in our space. No. Yeah. So I think, here's the thing. It's hard to say strong social account because strong compared to what? Yes.
8:34If you are trying to hit your TAM, I think they're hitting a good amount because they're just like, If you see strong social account compared to consumer, it's not fair because there's way more eyeballs for consumer. Let me get an example here. So you know that company Clue Lee, right? We're talking about them a little bit? Yeah, yeah. The one place that the company that helps cheat on everything. So they do controversial marketing, right? But they also do. Have you seen this one? So there's this gal over here, right? She's talking. And then basically this view, like 1 million views over here, 2.1 million views over here, right?
9:04Let me show you the video itself. so this video let me let me go back to it is basically here check this out
9:17what's prime or prime hazard is this soccer players she has no idea who these players are yeah so but then everyone in the comments on like YouTube or TikTok is like what is she using clearly clearly clearly but 4 million views on that video. And so all of these content creators that they're hiring, like it's working really well for them because they know how to drive hunks. And Kuli is blowing up from this because everyone's just looking at it like, oh, it helps you cheat on everything else. Yeah. Controversial marketing, I think it works to an extent. You just can't, I don't think you can do it forever, but this viral 4 million view formula, that's what they do to get massive signups.
9:58And I think they're growing like a weed right now because you can cheat on everything in so many different things. Yes. But why things can end up happening is they're going to be like jazz Remember when Jasper came out and they were just like, create content, easily click some buttons? What happened with Jasper in the long run? Massive cheer. Well, they didn't really have like a moat. And I do think that the moat that Cluey has is actually they're pretty good with distribution, which is why they're hiring these people. I don't think they have a product moat. I don't think they're stronger right now, right now from a product standpoint versus like other companies, but they can always hire for that.
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12:51Okay, why do you actually need to cheat on a lot of this stuff like Neymar versus Hazard, like just reality wise? I'll give an example. So I do, I would like to cheat on if I'm talking to you, let's say I'm interviewing you for a job, right? And then I have a heads up display over here that tells me all these things about you. Oh, you went to Michigan. Oh, you went over here. Here's an interesting fact. Or like maybe some other things I found about your work. Like that heads up display would be very interesting to me. Yeah, be useful to me. It would be useful, but I don't think it's useful enough to spend money on every single month.
13:21Like I don't think it's that useful. I do. I think the one thing that's worth copying from Cluelito is if you watch his interviews like this controversial marketing. So this guy, Sully tweeted us. He's clearly is cheat on everything. Soham, that guy Soham, the Indian dude that had like a bunch of different jobs at YC, lie and deceive, right? And now we have founders fabricating lies and chasing attention by any means necessary. Is this what startups have become? Just whoever can become the most controversial. Now, this is not necessarily new. You look at the news cycle, even if you look at ESPN or CNN or whatever, everyone looks for controversy.
13:55And I think it can work. But again, I think you can flame out your audience over the long term. So yeah. Time will end up telling. And, you know, Cluelly has, there's a product, what's a product name that competes with Cluelly and they just release it for free? Oh, they posted it. So they're like, oh, we just took their code and we open sourced it or something like that. It was something like that. They just made it all free. Yeah. You know, okay, let me give you a cool thing. This was at this AI founders dinner that I hosted the other night. So have you heard of synthetic customer development?
14:27No. So to build like billion dollar software companies, you have to be doing a lot of customer development. You have to be talking to customers. Like the CEO of Intuit, again, you know, the CEO of AOL, they're like, it's about the customer is stupid. And synthetic customer development, so instead of having me, I have to book a call with you, Neil, or book a call with Noah. What you can do is you can take all of your call recordings, like your gone transcript, for example. So I had a friend, he basically took 70 ,000 of his transcripts and he made a custom GPT from it, right? And from then, all his people are just talking to that custom GPT.
14:58Especially like the last 90 days or two, you're just looking at sales calls. What are people looking for? What are customers struggling with? And so now you have synthetic data that's being created and you can train off of that instead of always having to wait to have these customer development calls because those calls are important. But this is a good example of people using synthetic data to drive business outcomes. And I think it's really smart. I think it's smart too. I think we're gonna see a lot of people doing things to help them grow faster, generate more revenue, become more efficient.
15:27What I'm really waiting for is there was a rumor that Meta may end up buying, what's that eyeglass company? Ray-Ban? Ray-Ban? Oh, yeah, yeah, yeah. Yeah, Ray-Ban, right? They have the partnership with them? Yeah, because they have all those glasses. And if you look at most eyeglass solutions, like, did you ever try the Vision Pro? No, you did. I did, but did you ever even go to the Apple store and try putting it on or anything? No, never. It's really cool and amazing. It gives you a headache and it's just too heavy. It's not practical. Meta's version, I'm not saying it's as good. I doubt it is as good because it's too small, so how much can you fit in it?
16:00the concept is really good. And if everyone starts wearing a version of that or contact lens, how much new inventory do we now have for advertising? A lot. Yeah, yeah. And everything that we're doing. I deal with multiple ones too. Yeah, yeah. Not that that matters. You can only have like one human using it this time. Yeah. Even in like the iPhone, we have a phone. Apple doesn't really showcase much ads within our phones. No, but Meta will. Yeah, and if Apple, this is just my take on it, I bet you more people would have iPhones if Apple made it for free and then they made the money by showing ads.
16:35But they don't, that's, you know, it's just business models and philosophies. Meta is an advertising company, so they'll drive more. Yeah. You know, Apple is about this privacy and simplicity thing and design. Yeah, that's true. So we're going to end the episode here. See you guys later. Please don't forget to rate, view, subscribe.
