OpenClaw Is The Most Important Piece of Software Ever.

0:00Eric Siu:Using only 20 % of your business data is like dating someone who only texts emojis. First of all, that's annoying. And second, you're missing a lot of context. But that's how most businesses operate today, using only 20 % of their data. Unless you have HubSpot, where all the emails, call logs, and chat messages turn into insights to grow your business. Because all that data makes all the difference. I would know because I use HubSpot at my company. Learn more at HubSpot.com. All right, guys. So it's another week of marketing school and Neil is in Hong Kong as of right now. So it's 1045 p.m. It's 745 a.m.

0:38Eric Siu:for me. And there's a lot to talk about. Neil, I think it'd be interesting because you've been traveling for the last few weeks. Maybe you could talk about what you're seeing, how people are, what trends you're seeing, what you've been talking about. And maybe we can start from there and then we can kind of jump around here.

0:53Neil Patel:so the first thing that i really saw is uh you know you and i are both american uh although originally my parents are from india i believe your parents are originally from taiwan i could be wrong but i'm pretty sure i know hong kong it was hong kong oh i'm in hong kong so it was funny because everywhere i go they ask me what i think about the war which I wouldn't have expected but they asked me because when they see my passport it's like oh what do you think about the war so you know I usually just say no comment because I don't want to get into them like I don't know what to think you know and of course no one wants a dictator who is going to kill people so you know I think a lot of people are happy that there's not someone ruling who killed I think it was 30 ,000 people but I try not to make comments about it but yet a lot of people tend to ask me about that of course no one wants to see innocent people die as well that's the first thing I noticed over the last few weeks because that's the big thing that is on the news around the world the second big thing that I'm noticing is at least because I'm in Hong Kong they're seeing the market soften because of China I think China actually just revise their gd targets are coming down yep their growth targets are coming down and what i'm seeing is you know we were talking i checked into hotel we do the hotels marketing funny enough globally and i was talking to some of the people who are here and even at the events i've been at and they're all telling me they're like guess where you're at uh go for it rosewood no i'm

2:43Eric Siu:Not at the Rose. Okay, I'm not going to guess anymore. Keep going.

2:46Neil Patel:So I ended up asking them, or, you know, we were just talking about the economy and things like that. And they're just like, you Americans need to buy more. And I'm like, what do you mean we Americans need to buy more? And they're like, you guys spend a lot of money on marketing per GDP per capita, which funny enough, when you look at per country, we actually are one of the leaders in how much we spend per capita for marketing. They're just like, we're producing a lot of goods, both India and China. and they're like, our people don't want to buy the goods as much. I'm Indian. You're Chinese. And they're just like, we need you guys to step up and buy more goods.

3:22Neil Patel:And I got that message like maybe three times over the last two weeks. Of course, we're going to tell you to buy more. Yeah, like it'll help our economy. You guys need to buy more goods. I was like, okay, sounds good.

3:35Eric Siu:Okay, so that's what you've been seeing. But like, what have you been, wait, this is going to put these on right now. What have you guys been talking about? Like, what have you been talking about in your talks? Like, what's the trend? Because obviously you're adjusting your talks per audience, right? So how's that been going for you?

3:49Neil Patel:The big thing is when they're thinking about marketing, they're specifically focused on persuasion. How do they convince more of their own people within their own country to develop their own ecosystem? them. So for example, in India, and I'll use that as an example because I'm Indian and I know the culture really well, they talk about, hey, Indians are very price sensitive. So if your marketing is pushing some products that are premium and that are expensive, it's harder to sell. Indians are extremely price sensitive. They want good deals. So they were just like, hey, in marketing in India, how can we use quote unquote persuasion?

4:34Neil Patel:Think of like David Ogilvie with copywriting, storytelling, to convince people to spend the money to buy the products here. And that was a big thing because, you know, they're just not able to get the consumption from their own market. And they're like, we're spending money on marketing. Our consumers just don't want to spend the money, even if they have it.

4:55Eric Siu:Cool. By the way, you know what's interesting? So last week we recorded, I think Neil was in India, and then he was basically falling asleep at the end. In this version, you're getting him in Hong Kong, and he's basically close to falling asleep here. So his energy is a little different. No, I woke up.

5:10Neil Patel:I got five hours of sleep. I'm good.

5:12Eric Siu:Oh, you're good. You're good right now. Okay, good, good, good. Because you're talking slower than you usually talk. Usually you're pretty measured in how you talk, but you're even more measured today is what I've noticed. So anyway, so here's what I've been seeing. This is, um, so I came back from, um, traveling last Tuesday. Um, what I will say, by the way, the reason I'm wearing these glasses right now, because I, I, I, these are, um, not only the, the block red light and blue light, so they help you fall asleep. Right. Um, but they, they strain my eyes less. So what's been happening for me, Neil, um, is because I've been kind of redlining it with the AI stuff.

5:46Eric Siu:This means that every day I basically, cause I have LASIK, right? It after 10 years, your eyes start to hurt like hell. They dry up really quickly. Right. So, but I have that every day now. So my eyes hurt like hell at the end because I burn my eyes out every single day. Because I'm not even watching TV anymore. There's so many good shows to watch. I'm just like, I can't help it. I just like walk back to the computer room. I put these glasses on and I'm just cranking on AI, right? And one thing I will say is Jensen said this the other day, Jensen Huang. So here's, I quote, okay? Jensen Huang, CEO of NVIDIA.

6:17Eric Siu:Open Claw is the most important piece of software ever built, right? Wow. Wow. Like, that's crazy to hear from me because he's been doing this stuff for a very long time. And here, I'm going to read the exact quote. This is from Take Him, who wrote the book, The NVIDIA Way, which is a great book. So OpenClaw is probably the single most important release of software probably ever, right? And so what I want to say is, like, one, there's a couple of caveats here. I think if you're a founder right now, yes, absolutely set it up. You want to make sure you set up security provisions and all that. But if you're listening to this, you're probably not going to get it right.

6:48Eric Siu:So just be prepared to take the risk. I, we are almost, I'm not even bringing this up to my team right now. So they might be listening to this, but our whole thing is like, if you set up OpenClaw for yourself, fine, go for it. You are not allowed to connect any of our stuff to it. Okay. Um, you're like, we don't want to deal with that. Right. And so, and that being said, OpenClaw was purchased by OpenAI. Like they're, they are doing a lot of security hardens like, um, every single weeks and they're, they're making quite a bit of updates to it. Um, but what I do want to say is the, um, the things that we have been, um, I might want to pull up this dashboard for you, but I'm spending the vast majority of my time on it right now.

7:24Eric Siu:And I came up with this phrase. Actually, my open clock came up with this phrase because there's this new offer that we're coming out with. The phrase, Neil, is stop paying humans to do robot work. So I'm going to repeat that again. Stop paying humans to do robot work. So what I'm getting at with this is I'm much more, I'm back, we're pushing the team on AI fluency. That's one piece. right but also for me with our new offerings we have to like on top of what we're doing right now um we have to be constantly building right and so the the thing that we've been saying is uh stop paying humans to do robot work because our team right now even though we have them using cloud code to build stuff and we're doing hackathons and things like that there's a very big risk there the risk is if they build a lot of stuff that for ai theater which is like maybe just to appease me or whatever um it's not it's not going to be a good thing right so i might see people building dashboards for human use.

8:14Eric Siu:You don't want to do things that way. You want to build things that robots can use. And I think something that we kind of touched on briefly last week, Neil, was that we might be optimizing for humans right now, but in the very near future, Neil, like the stuff you're buying on Instacart, you're probably going to have a robot doing that for you. And it's going to be robots marketing to robots, right? Or humans marketing to robots in the near term, the very near term. So my point of saying all this is that, yes, there's a lot that's happening right now sure you know jensen's talking about open claw and all this but also the world is is um you might be hearing an echo chamber because the stuff neil and i are talking about we're hearing from people that are cutting edge on this stuff um i would say keep the pressure on yourself but also understand that the world is going to take time to uh to to adapt to this but i do think we're very quickly moving into a world where you're you're going to stop paying humans to do robot work because i'll give you one more example here um revenue cat is hiring agents for 10 grand a month i don't know if you saw this on twitter but this came out yesterday so they put out a job post saying hey we're not hiring humans here we are actually hiring agents to work alongside humans for 10 grand a month for these agents okay so i think very quickly we're moving this one of my um this guy i know on twitter nat eliason his agent he released it into the world 30 days ago and the agent on its own has already made 100 grand 100 grand on its own that's awesome

9:33Neil Patel:Dude, so yesterday I was at Campaign, the marketing publication. I was at one of their events, and we were in a roundtable setting. I was with a lot of big corporations that are publicly traded and that are global. Because Hong Kong is a big financial hub throughout the world, and it's a big region for APAC. Even though the population of Hong Kong isn't the biggest, it's more so this is where a lot of businesses are headquarters. and from here, they'll sign contracts for the rest of Asia. Hong Kong and Singapore are really known for that. So we're discussing AI and marketing. What is your biggest win and what is your biggest or unexpected loss, like something that AI did not do perfectly well?

10:21Neil Patel:And someone from the room made a really good point. They have, in their organization, This is a$10 billion USD company. They're publicly traded. They have people who just train AI for the company. So imagine you are in marketing and you use AI to create content, okay? And that's just your job, to create content. Well, they have someone who's part of the organization who helps the AI be trained to write better content. Let's say if you're in a department doing ads on Facebook, they train the AI to just create better ads. And they do that for every marketing function. So then that way, when the individuals within marketing are using, you know, Copilot or ChadGPT or whatever they're paying, or a lot of people are paying Copilot, you want to know the number two option?

11:16Eric Siu:Anthropic?

11:17Neil Patel:Gemini.

11:19Eric Siu:Well, that makes sense. It's in the suite too.

11:21Neil Patel:Uh-huh. But that's what we're seeing large enterprise corporations adopt. So just keep that in mind because everyone talks about optimizing for GEO, for chat GPT, perplexity, Claude. But a lot of the big corporations are paying for their staff to be on Gemini and Copilot. And remember, they have a lot of revenue and their budgets are massive because they're enterprise businesses. But we were talking about training agents and they were talking about how this is very successful. But here's a caveat on the big mistake that I saw, because some of them were showing me their outputs.

11:57Neil Patel:They're paying only a few people to train the LLMs to do marketing the way they want for specific tasks. If you're paying some generalists, and Eric will know this right away, if you're paying some generalists to train the AI to help on different marketing initiatives, what do you think is going to happen with the outputs? It's a smart model, but what do you think is going to happen with the outputs?

12:21Eric Siu:It's not going to be great.

12:23Neil Patel:Bingo, he nailed it. And the reason being is AI needs to be trained by people who are amazing at that job function. So the concept, in theory on paper, it sounds good to just have a few people who train the AI so it's more efficient for the whole organization and marketing. It sounds great. But if those people aren't specialists at what they do and they're just average and mediocre, then everyone with the organization that's using the AI to help them with specific tasks, they're going to get some mediocre bull crap output. Excuse my language. You need amazing people at content to train the AI when it comes to content.

13:01Neil Patel:You need amazing people at ads and creative to train the AI and so forth and so down the road. And here's the other thing. When a lot of these people are training the AI, they're expecting amazing results within a month. And I'm trying to tell them, you need to look at it from a year plus time horizon. You should still use it within that year. But if you continually train it for a year with amazing quality inputs, you're going to have amazing quality outputs in a year plus. Of course, in three months, you're still going to get great outputs. And even six months will be better than three months.

13:34Neil Patel:But people need to be patient and think long term, because if your companies have been around for 30, 40, 50 years, you can't look at it as like, I put in time and energy in this last 30 days. I expect amazing outputs in 30 days from now. You'll get amazing returns if you're patient and you do it right for a year plus.

13:51Eric Siu:Yeah. All right, guys. Well, I hope you enjoyed this. I need to go run to a webinar. Neil's going to go to bed. So I hope you all enjoyed it and we'll catch you next time.