OpenClaw Is The Most Important Piece of Software Ever.

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@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 10:45pm It's 7:45am 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 can 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.

0:00

So the first thing that I really saw is, you know, you and I are both American, although originally my parents are from India. I believe your parents are originally from Taiwan. I could be wrong, but I'm pretty sure China. Hong Kong is Hong Kong. Oh, I'm in Hong Kong.

0:54

I'm half Hong Kong.

1:12

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 and stuff 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, you know, 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 revised their

1:16

GD Gross targets are coming down.

2:19

Yep. Their growth targets are coming down. And what I'm seeing is, you know, we're talking. I checked into a hotel. We do the hotel's 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.

2:21

They're like, guess where you're at.

2:38

Go for it, Rosewood. No, I'm not at the Rose.

2:40

Okay. I'm not going to guess anymore. Keep going.

2:44

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. 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. And I got that message, like, maybe three times over the last two weeks.

2:46

Of course we're going to tell you, you buy more. Yeah.

3:26

Like, it'll help our economy. You guys need to buy more goods. I was like, okay, sounds good.

3:29

Okay, so that's what you've been seeing, but, like, what have you been. Wait, this is Kwang. I'm 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?

3:35

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? 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? Think of, like, David Ogilvy with copywriting, storytelling to convince people to spend the money to buy the products here. And that was a big theme 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. Cool.

3:49

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. Um, like, what time I woke up,

4:55

I got five hours of sleep. I'm good.

5:10

Oh, you're good. You're good right now. Okay, good, good, good, good. Because you're so, you're talking slower than you usually talk. Usually you're, you're pretty measured in, in how you talk, but you're even more measured today is what I've noticed.

5:12

So anyway, so here's what I, I've been seeing.

5:21

This is so I, I came back from traveling last Tuesday. What I will say, by the way, the reason I'm wearing these glasses right now, because I, I, I, these are not only they, they block red light and blue light, so they help you fall asleep, right? But they, they strain my eyes. Happening for me, Neil, is because I've been kind of redlining it with the AI stuff. This means that every day I, basically, because I have lasik, right? 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 on, I'm, I'm, I'm like, 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 Open Claw is the most important piece of software ever built, right? 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 Tae Kim, who wrote the book the Nvidia Way, which is a great book. So, 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 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. So just be prepared to take the risk. 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 Open Cloud for yourself, fine, go for it. You are not allowed to connect any of our stuff to it. Okay. Like, we don't want to deal with that. Right. And so, and that being said, Open Cloud was purchased by OpenAI. Like, they are doing a lot of security hardens, like, every single week, and they're making quite a bit of updates to it. But what I do want to say is the. The things that we have been shipping, I might want to pull up this dashboard for you, but I'm spending the vast majority of my time on it right now. 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, right? 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. What I'm getting at with this is like, I'm, you know, much more. I'm back. You know, 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, we have to be constantly building, right? And so the thing that we've been saying is stop paying humans to do robot work. Because our team right now, even though we have them using Claude 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, it's not going to be a good thing, right? So I might see people building dashboards for human use. Like, you don't want to do things that way, right? 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 you. We might be optimizing for humans right now, but in the very near future, Neil, like the stuff you. You're buying on Instacart, you're probably gonna have a robot doing that. For you. And it's gonna be robots marketing to robots. Right? Or humans marketing to robots in. In the near term. In the very near term. So my point of saying all this is that, yes, there's a lot that's happening right now.

5:25

Sure.

8:40

You know, Jensen's talking about OpenClaw and all this, but also the world is. Is. You might be hearing an echo chamber. Cause the stuff Neil and I are talking about, we're hearing from people that are cutting edge on this stuff. I would say keep the pressure on yourself, but also understand that the world is going to take time to adapt to this. But I do think we're very quickly moving into a world where you're going to stop paying humans to do robot work. Because I'll give you one more example here. Revenuecat 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 human humans for ten grand a month for these agents. Okay? So I think very quickly we're moving this world. And one of my. 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 a hundred grand. One hundred grand on its own.

8:40

That's awesome, dude. So yesterday I was at Campaign, you know, Campaign, the marketing publication. I was at one of their events and we were in a roundtable setting. Deals with a lot of big corporations that are publicly traded and that are global. Because Hong Kong is a big financial hub, you know, throughout the world. And it's a. It's this. 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, you know, or unexpected loss? Like something that AI did not do perfectly well. 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 their organization who helps the AI be trained to write Better content. Let's say if you're in a department with 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 ChatGPT or whatever they're paying for, a lot of people are paying Copilot. You want to know the number two option? Anthropic Gemini.

9:32

Well that makes sense. It's in the suite too.

11:19

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, 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 outputs?

11:21

It's not going to be great.

12:22

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 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 bullcrap output. Excuse my language, you need amazing people at content to train the AI. When it comes to content, you need amazing people at ads and creative to train the AI and so forth. 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. 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.

12:23

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 hope you all enjoyed it and we'll catch you next time.

13:51