Jensen Huang's Moat Is Dead. But He Has A Plan

29 Sep 2026 · 24 min · 9 chapters

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In short

NVIDIA’s “CUDA moat” is eroding as AI code can be compiled for other chips; the discussion argues NVIDIA is shifting its advantage to high-speed interconnect (Mellanox) and that durable moats now come from organizational “metabolic rate” (speed of reinvention), capital velocity, and brand/talent density. It also covers venture “froth” (rapid valuation jumps) and agentic commerce/data advantages, using Meta’s acquisition of Muse and examples of classifying followers via WhatsApp bots.

Guests

The transcript doesn’t name the hosts/guests; it’s a two-person conversation (repeated “Neil” and “Eric”). One referenced external guest is Peter Diamandis (quote source) and Harry Stebbings (20 VC interview).

Key claims/examples

CUDA inference moat is “dead”; NVIDIA bought Mellanox (2019) for $7B to preserve GPU scaling via interconnect. Three moats left: speed of reinvention, capital velocity, brand (with debate). Venture valuations are accelerating unrealistically. Example: using a Meta Muse-connected bot to analyze Instagram/116,000 followers in ~20 minutes; another example is Meta’s Muse/Scale bet and its distribution/data.

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

NVIDIA's Cultural Legacy and Current Challenges

0:12 to 0:26

Explore NVIDIA's unique culture and how its greatest moat, CUDA, is being challenged.

“It works right inside HubSpot, drafting campaign copy, blog posts, emails, all in your brand voice, all grounded in your actual customer data.”

NVIDIA's Cultural Legacy and Current Challenges

0:29 to 1:40

Explore NVIDIA's unique culture and how its greatest moat, CUDA, is being challenged.

“So I want, because we're kind of talking about SpaceX a little bit, another good company that probably has a little more bozos than NVIDIA, but doesn't have a lot of bozos, would be NVIDIA, right?”

The Future of Moats: Reinvention and Capital Velocity

1:40 to 3:00

Discuss the changing nature of business moats and the importance of reinvention speed.

“The most valuable moat on earth is leaking, right?”

Venture Capital Trends and Market Dynamics

3:00 to 4:50

Analyze the current venture capital landscape and its impact on startup valuations.

“Capital velocity, like how much money can you spend and how much money do you have?”

Talent Pools and the Bay Area's Unique Advantage

4:50 to 6:10

Understand the significance of talent density in the Bay Area and its impact on companies.

“And I was listening to one of the guys who created some sort of semiconductor company.”

Reinvention and AI's Role in Brand Dynamics

7:58 to 14:00

Delve into the implications of AI on branding and consumer behavior.

“Well, there's two of the four from the All In podcast that are in Texas now, but the other two looks like they're staying.”

Exploring Influential Followers

14:00 to 16:44

Learn how leveraging AI can identify influential followers on social media.

“Yeah, like this actually looks good on me, right?”

Risk Tolerance in Business Decisions

16:44 to 18:34

Understand different personalities in business risk-taking and investment.

“You already know I wouldn't do it, right?”

Personality Traits and Business Success

18:34 to 22:39

Discover how personality traits impact business strategies and relationships.

“Now, granted,$13 billion for Mark isn't as much money, but it is still a significant portion of Facebook's market cap.”
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Transcript

Automatic transcript. May contain errors.

0:00You know that feeling when the strategy is done, the brief is written, everyone's aligned, and you realize someone still has to sit down and actually create all the content. that someone is you, and it's due tomorrow. Breeze Assistant can help. It works right inside HubSpot, drafting campaign copy, blog posts, emails, all in your brand voice, all grounded in your actual customer data. So you don't just create content, you create content that converts. Check out HubSpot.com, the agentic customer platform for growing businesses. So I want, because we're kind of talking about SpaceX a little bit, another good company that probably has a little more bozos than NVIDIA, but doesn't have a lot of bozos, would be NVIDIA, right?

0:41And so NVIDIA is the most valuable company in the world, but Jensen has maintained this amazing culture throughout his career, right? So I wanted to bring something up. This is from Peter Diamandis over here. So do you see my screen? No. Yeah, now I do. Okay, great. So right now, NVIDIA's greatest moat is CUDA, right? CUDA is their, it's one of their programming layers, right? Basically what it does is it translates the code into instructions that NVIDIA's chips can run at blazing speed. But the problem with that mode now, Neil, is it's being eroded because now you can just go to an AI and say, hey, take my AI code and compile it to run fast on this AMD chip.

1:21Hence you see AMD is rising up, Intel is rising up, you see Cerebris coming out of nowhere, right? And then there's like jalapenos coming out from OpenAI. You have the Tensor processing units from Google. for freaking training is coming out from Amazon. So all these things, right? So chips are becoming, you know, have always been competitive, but CUDA was really NVIDIA's moat. What am I saying right now? The most valuable moat on earth is leaking, right? So it's like, okay, well, CUDA as this inference time moat is dead, okay? So here's the thing. And NVIDIA Jensen already knew this, right? So that's why he bought this company Mellanox for$7 billion in 2019 to own high-speed interconnect.

2:00So if you want to run 100 ,000 or a million GPUs as one coherent machine, you still have to buy NVIDIA at the end of the day, right? So the quote here is, your moat is only good until the next moat, and Jensen is moving NVIDIA's moat very intelligently, right? So here's my point with all this. The durable advantage is the metabolic rate of the organization, and AI is the fastest rate, the fastest rate raises. So this is from Peter Diamandis, and he says there's only three moats left, okay? So the three moats left today, Neil, would be it's your rate of being able to change. That's one of them.

2:36Brand, he's arguing, is another one. And then capital velocity is another one. Okay, I'm going to repeat that. So really, number one is speed of reinvention, right? So the question is no longer who has the best moat. It's really how fast you can reinvent yourself. Number two is capital velocity, so which shows up on the balance sheets and the hyperscalers, the way they're spending right now. And then number three, he's saying to a lesser extent, actually, would be brand, right? So we can agree or disagree with this. We can actually react to this. I think brand is definitely in there. Capital velocity, like how much money can you spend and how much money do you have?

3:07I don't know how much of a moat that is because there's so much money out there. I listened to Harry Stebbings, you know, the 20 VC. And he's telling me how crazy it went. He's like, let's see if I can actually pay the clip I saw this morning or was it yesterday? It was actually, it was really crazy. And I don't know Harry personally. I messaged him a few times and he's messaged me. But I don't think he's full of crap. Just being honest. Listen to this. Put it closer to Mike. Time to call BS on what is happening in venture right now. Every venture investor knows the truth, which is this game has completely been ruined by three rounds in three weeks.

3:47One company I met this morning raised at$150 million price. And a week later, it raised at a$500 million price. Then a week later, it raised a$1.5 billion price. It is still three people with an idea. By the way, there's another company that I'm at today. First round was at$3.5 billion. Then, because of the oversubscriptions, too many people wanting to invest in it at that ridiculous first price, it's now raising it at a$5.5 billion price. This is very standard. I sit down with my team yesterday, and you know what they say? They say, hey, trouble is we just can't find a company that is raising under$100 million.

4:27That is not the price. That is the round. This is absolutely ludicrous. That's not a new normal. That's not healthy. That's not cool. That's just froth. It's hype and it's bad for the ecosystem. Now, the question is, what do you do in this time? You have to play the game on the field. so but um but yeah dude you just i think there's access to tons of capital i do think it's brand i do think it's speed to adaption and if i had to pick a third one and it's kind of related to speed to adoption it is actually talent like how good of a talent pool you have because your talent pool affects if you have capital what you do with your products do they learn from the mistakes Do they leverage the latest technology?

5:13And I was listening to one of the guys who created some sort of semiconductor company. He's retired. He was on CNBC the other day. He was talking about the Fortune 10. Do you know how many companies from the Fortune 10 are from San Francisco, Eric? If you had a guess. Almost all of them. Let's see if I can pull it up. Can you see my screen? Yep, there you go. So, okay. NVIDIA, Apple, Silicon Valley, Google. Google's number three. Microsoft is... Microsoft, Amazon, or Seattle. Uh-huh. I don't know. Taiwan's semiconductor. I'm assuming that's Taiwan. Yeah. Meta is four. Broadcom is five. Tesla's number six, right?

5:53Yep. Did I count it right? Three, four, five, six. Yep. Yeah. Six out of 10 come from the Bay. I'm not talking about the United States. I'm talking... Well, technically it's Fortune 10, so they're all from you. But I'm not talking about California. I'm talking about the Bay Area, right? Like, you know, everyone's just like, oh, Tesla's moving out of California. They're going to Texas. Did you know since Tesla has moved out of California into Texas as their headquarters, they actually employ more people in California now than they did prior to them leaving California as a state, quote unquote. Right.

6:27And a lot of this headquarters stuff is just more tax and political stuff. And I'm not saying they're right or wrong. This is not the conversation for that. It's just more so the talent pool in Northern California is amazing. And a lot of it has to do with that's where a lot of tech was originally set up. They have a lot of major universities and people there have a massive appetite for risk. And you also have a very high concentration of amazing engineers, product people. And yeah, the ecosystem has just built. Like I just don't see the bay going anywhere no matter what happens to the state of California.

7:04just look at Chamath. I'm moving to Nevada all the way to, hey, I'm staying in San Francisco and not going to Texas or Nevada. I'm staying in San Francisco and I just raised some money. If you're building an e-commerce brand, you should check out DTC Pod, hosted by Ramon Berrios and Blaine Bolas on the HubSpot Podcast Network. They speak with founders, marketers, creators, agencies, and platform experts about what it actually takes to grow a direct-to-consumer business from paid ads and influencer marketing to conversion, email, brand building, and consumer trends. I particularly enjoyed their conversations around scaling a brand without losing what made customers care in the first place.

7:39Listen to DTC Pod wherever you get your podcasts. From Salesforce. Real quick, if you want to acquire customers faster and more efficiently this year with the latest strategies and tactics, then check out singlegrain.com. That is my ad agency. Again, www.singlegrain.com. Check it out. And if it seems like a fit, we'll get in touch and help you with a free marketing plan. Yeah. Well, there's two of the four from the All In podcast that are in Texas now, but the other two looks like they're staying. We'll see what happens. I mean, we have this election coming up, right? By the way, I have still never voted in my life.

8:12But anyway, so let me add this real quick. So let me come back to this moat piece. Do you see my screen? Yeah, one speed reinvention. Is that what you're highlighting? So the three modes that survive. Okay, so speed of reinvention, right? So I just want to read this part. So the question is no longer who has the best mode. It's those who are reinventing themselves faster than anybody else. Jensen is moving from CUDA to Interconnect, which is what we just talked about. Elon is shifting Tesla from manufacturing cars to offering robo-taxi services and robots as well. While SpaceX goes from rockets to Starlink to orbital compute.

8:43The durable advantage is the organization's metabolic rate. And AI is the fastest way to raise it. So again, the durable advantage is metabolic rate of an organization and AI is the fastest way to raise it. So what I would say here is I kind of the speed of reinvention is one piece. And I think that does tie in with the talent density piece that you're talking about, because you can build you can you can find great talent in North Cal. But the type of culture that you build the talent density within your own company, that's something that you can you can like drive on your own, right? Because Elon, like Tesla or and SpaceX are very much driven from Elon's intensity at the top, right?

9:13Same thing with Jensen's intensity at the top as well. So I think those two, in my mind, kind of go hand in hand. Now, to your point, capital velocity over here. So we're not talking about access to compute. Anyone can rent an H100, which is a NVIDIA chip. Not scaling ability. The moat is that Microsoft, Google, and Amazon, and Meta can pay for hundreds of billions of dollars of GPUs immediately out of cash flow and already have customers to fill them. So they have distribution and they have the capital velocity from their cash flows. And the hyperscale is just a financing system. It's a real estate game.

9:44The oil analogy is exact. A liquid, coolable oil market didn't hurt OPEC because the moat was having the oil in the first place, right? And so I think a little different than the ecosystem that we were just talking about. And then he thinks that brand is a third smaller moat, right? So brand still holds up. Like if you're buying an Hermes bag, like Louis Vuitton, Dior, whatever, those things stand out certainly. But the future of AI, and maybe we should talk about this, is automatically transacting your purchases of toothpaste or paper towels. And it doesn't care about your brand. It cares about the cost, ingredients, and the thousands of online reviews that it consumes.

10:17I don't know if I completely agree with that because if you're so smart as an AI machine, you should be able to infer what people see as status and brand just by seeing what people talk about on like a Reddit, for example, or even through the reviews. Yeah. So the reason I disagree with his part on the brand side is consumers actually care for brand names. We work with a lot of the luxury brands out there. Like we work with LVMH and we work with a lot of other popular like handbag companies that, you know, everyone dreams to have. And what I'll tell you is if AI just goes and purchases purses for people, I'm just going to use that as an example.

10:54I know he did carve out luxury handbags there. You're going to have people being like, I don't want to wear this coach bag. I prefer a Chanel bag. It makes me look better. The same goes with toothpaste. I know he gave an example of it's just toothpaste, it's just toothpaste, it meets the requirements. Some people like me have sensitive teeth. I know I'm a small example, but I use Sensodyne and I've been using Sensodyne for ages. If it's not Sensodyne, I would just be pissed off. What I believe is gonna happen with AI and Agenda Commerce, it's going to understand the patterns that you as an individual make and learn from it.

11:31And then from there, adapt and do more of the things it knows you likes, because then you would just be pissed off. But on the flip side, when you're looking at agentic commerce, it's about how much data can these guys gather from you before they go and start transacting. And this is why I believe Amazon cut off Muse. I don't know if you saw that. But this is a perfect example. Facebook paid, what, 13,$14 billion for that MIT kid. Scale. Scale, there you go. I forgot his name. Alexander Wang. Alexander Wang. And then people were making fun of him being like they overpaid. I'll be honest. I was like, how the heck would you spend that much money paying this kid for a company?

12:17And you're not really generating the revenue or anything like that. But look at what they did with Muse. I'll be the first to say I was wrong. If they actually can keep going with Muse, I think that's going to change Facebook's business. And I think that's a bigger business than what they're doing with the social network. I don't think Muse would be as successful if they didn't have that distribution channel. But now, because Alexander Wang, I don't know if you knew, he's the one who's in charge of it all. And they're making fun of him that he was wearing a deer t-shirt with deer Crocs. Who the heck cares what he's wearing?

12:49The stock price went up. He can wear whatever he wants. Yes, the stock price went up by a market cap of$200 billion. Would you pay$13,$14 billion for a$200 billion gain? I'm pretty sure everyone would. And that is what happened. I always thought it was going to work because he's one of my people. So I actually genuinely thought it would work. Now, I thought it was going to be tough, but it worked, right? Because they actually have a very strong model. Now, you look at the products that they're releasing now because they're in physical game. To Neil's point, with Muse, the one thing that they have is distribution.

13:17I'm going to show you something on my screen right now. I don't know if I showed you this last week, Neil, but to your point, they have the data, right? And so if I pull up my screen over here. So, Neil, did I show you this the other day? It's coming up right here. So, okay. So here's what I did with Meta Muse, right? And I'm doing this inside of WhatsApp. So this is my bot called Doodoo, right? You can see up here. So anyway, I asked Doodoo. Yeah, I don't have tats, but like it basically was like, hey, I was like, hey, I want you to look at my Instagram. I want you to understand my style and I want you to understand how we can, what other pieces we can add to the wardrobe, right?

13:49Now, am I dressed like this? No, but I'm glad it looks like this guy's pretty good looking. You know what I'm saying? So like this, right? The coloring actually works for you. But if you go to the first picture, that one, no, no, go back to the first one. that reminds me of the Twitch founder. Do you know who I'm talking about? Justin, what is it? Justin, Justin Khan. Justin Khan, the very first picture. You should wear all black. It looks good. Yeah, like this actually looks good on me, right? And I'm like, this is actually a pretty good look. And, you know, it mostly resembles me. You know, and like, this is not bad either, right?

14:15I don't like the blue. I like the all black look. You should do all the black look and either the green's not bad. The gray's not bad. These are bad. Like, this is good style, right? I'm just saying, if you have it, it's connected to your Instagram. And you know what I did yesterday, Neil? and this is why Muse plus Jev is insane, right? I was like, hey, you know what? I want you to look at all 116 ,000 of my followers. Tell me all the influential and powerful people that follow me, right? I was like, tell me all the people that are in travel service, luxury service. Tell me all the people that own an agency at these employee sizes over here and use Jev to classify, right?

14:44And it's literally classifying right now. I was like, hey, how much is it gonna cost to classify 116 ,000 of these? $3.30, right? How long is it gonna take? 20 minutes, right? I'm like, sounds good. And then I try to take it one step further because remember there's these people that have paid Marriott and United for these employee plans. And I'm like, hey, can you email all the people that work at United at Marriott? Can you classify only the people that are at this level? Can I reach out to see if I can buy a plan, right? You can't do that. But it won't let you do that. So I just want to see how far I can push it.

15:17But I'm just saying that it has all the data. I was like, by the way, one more, Neil. I'll say, hey, look at all these people over here that we follow on from a marketing standpoint. I want to see all their offers. I want to see all their hooks. And then use Jev to classify$2.15, right? That is the power of having something like Meta and then combining it with something like a Jev, which we can talk about. But to Neil's point, again, like I do care about the brand because I did ask Muse to buy me a bunch of tennis stuff from on.com. So I do care about the brand because other people talk about it.

15:45Dude, so my team had, they did something similar for my followers. They were just like, you know, you have quite a few influential business people that follow you. I'm like, I don't think so. They're like, dude, they're like, how often do you actually log on to social media? I was like, yeah, good point. I don't log on that often. So my team ended up using AI. They spun out a report. I don't have it in front of me, but they're telling me like people like Mr. Wonderful, you know, from like Shark Tank. And I'm like, I didn't know. And they were getting on and on. And there's a lot of successful rich people and quite a few billionaires who were following.

16:16I'm like, oh, I would have never guessed. But you can do so much with AI and because meta is connected to their own ecosystem, it's much easier because you have access to the data. But I had a question for you actually two things. Well, first one is you should actually buy some of those clothes. They actually look good. I like them. And then the second one is going back to their purchase of the$13 billion, right? Or 14, whatever it was, of the Alexander Wayans company scale. you know me, all right? You already know I wouldn't do it, right? Why don't you think I would place big bets like that on my business?

16:57My opinion here is your personality, the way it is, is once you see it working, you're all in. That's how I've always seen you. Like, for example, there's microcosm. I'll share some stories here, right? In an unsure environment, right? When I go to the blackjack table and Neil was sitting, he was only watching me play. He didn't want to play because there's nothing sure there. It was pure gambling, right? And here's the thing. But once he saw something working from like a marketing standpoint, right? Instantly, he takes the bet from, let's say, you know,$5 ,000 a month to hundreds of thousands of dollars a month, right?

17:27Once he's in and he sees the pattern working, he's all in and he bets hard. Eric's right on that. The other thing about my personality that's a little bit different than Eric's personality and neither is right or wrong because if you look at Mark Zuckerberg, I don't think he has my personality by any means. And he's way more successful and look at what he did with scale and turn that into Muse. I am a very, would you agree with the statement, Eric? I'm a very value buyer, a value spender. I look at, I'm very financially motivated. If I was born again and put in a different role, I think I would fit in really well with private equity, the hedge fund space, anything financials with numbers like that, because that's just how my brain works.

18:11I can't get out of this rat trap of I put in a dollar, I need to know economically how I'm going to make more money right away on the arbitrage. With scale, Mark may have had the vision for Muse, but to me, and Eric knows me well, I would look at that as too uncertain. I like testing the water like he said or seeing someone else test it. And then when I know it works, I will go all in, but I'm not the one who's willing to test it with a$13 billion sum. Now, granted,$13 billion for Mark isn't as much money, but it is still a significant portion of Facebook's market cap. It's just a lot amount of cash and stock, right?

18:51For anyone to make that size of a bet. Well, let me give you a thought on that. And then I'll talk about kind of the microcosm of this podcast that AI spotted, right? Which actually relates to your demeanor overall. But at the time when he did his transactions a year ago, I mean, Facebook was a, let's say 1.5, I don't know, even$2 trillion company. So still, the argument that I read from a writer, like a tech writer was like, look, if this works out, like they need to go into AI. And if this bet works out, like it's a drop in the bucket. But if they don't make this bet and they're behind on AI right now, because remember, keep in mind, he sacked like a bunch of people where it wasn't working on the AI side, right?

19:26Like it was like an existential thing. And, you know, good for him that it worked out. But let me bring us back to this podcast real quick. So a while back, I had asked one of the agents to identify what the patterns were from this podcast. And I was looking at you, Neil, and I was looking at me. And it's like, there's two reasons why this podcast really works. One is Neil's personality. One is because Neil talks about what will persist, right? I talk about what will change. So those are two fundamentally different things. And then also when Neil took that personality test, I still remember, Neil, when it comes to internally motivated, meaning that I'm like intrinsically motivated, right, to just grow, I'm 99%.

20:02Neil is 1%, right? Which means he's money motivated, right? Which is not a bad thing. I'm not saying it's a good or bad thing. Like there's no, by the way, guys, there's no right or wrong way to make money. As long as you're not - Wait, wait, wait, repeat, repeat, go back. I was curious because I didn't look at either of our test results. I think I just sent you my link and didn't even read mine. Let me tell you why yours was so perfect, okay? And I still remember this, okay? So let's start first. I'm gonna slow down my pace a little bit here, okay? So on my personality test, there's this trait known as internally motivated.

20:32okay so this is someone that just wants to get better right and isn't motivated by outside forces such as money i'm 99 on that okay when you look at neil's which his test doesn't exist anymore so it's only in my head now but his is one percent right and i actually we actually have a mutual friend that's also one percent as well which means that he's actually money driven right um and there's no one percent means one percent means you're money driven yeah one percent is like you're not entirely like if you talk about like personal growth and all these things like you'll just like glaze over, right?

21:03But if I talk to you about money, you're like, oh, tell me more, right? Yeah, but here's the thing. Neil, on toughness, 99%, okay? And I know Neil to be a very tough person with just the way he works with people in general. He's not trying to be tough just to be tough. It's just, he's just trying to get things done, right? Neil's also very detail-oriented. I think it's gotta be like 90, 99 % plus. And so those are, and also Neil and I get along really well because our practicality is both 95 % plus, right? Now, when it comes to things like nurturing and empathy, neither of us are high on that, right?

21:38But I'll say this one thing, Neil. The good thing about both of us is we're both very helpful people. So if you start crying, I'll give you a box of tissues, right? That's about it, though. Yeah, it's tough. I do think we do have some sympathy and empathy if there's really bad things that happen, like people getting sick or whatnot. but outside of that, in work, I don't think I, at least, I can't say it for you, but I don't have too much empathy, sadly. Well, someone, I mean, mine's not that high, but someone, here's what I'll say, right? Just because you score low on empathy, and we can move on to the next topic after this, but someone died recently, right?

22:16For, let's say, a loved one. And like, you know, I just found myself naturally like doing all these things, right? And I think you're the same way too. So it's not to say that, you know, I think in work, if you have too much empathy, I think that's probably for a different role. I think as an executive, you probably can't have too much because you're moving so quickly and you're just trying to get things done, right? And so I think some people can disagree with that, but that's what I think at least. All right, well, anyway, guys, that's it for today and we will see you tomorrow.

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Eric brings Peter Diamandis's take that Nvidia's greatest moat, CUDA, is leaking now that AI can port code to any chip, and why Jensen bought Mellanox years ago to own the interconnect instead. They debate the three moats that survive: speed of reinvention, capital velocity and brand. Neil keeps brand, drops capital after Harry Stebbings' three rounds in three weeks, and adds talent density, showing six of the top ten companies come from the Bay Area. Then Meta Muse: the $14B Scale bet Neil admits he would never have made, Eric's bot Doodoo picking his wardrobe, and Muse plus Jev sorting 116,000 followers for $3.30. It ends on the personality test that explains the show. A sharp episode on what still protects a business.

Key takeaways◾Your moat lasts until the next one; speed of reinvention is the durable edge◾AI shoppers still buy brands, because people tell them what status looks like◾Neil waits for proof, then bets big; Zuckerberg bet first and won

Chapters00:00 Nvidia's CUDA moat is leaking02:29 Neil: brand is a moat, capital isn't03:35 Harry Stebbings: three rounds in three weeks05:07 Six of the top 10 companies come from the Bay07:02 The three moats that survive09:13 Neil: AI shoppers still care about brand11:46 Meta Muse and Scale's $14B bet12:16 Doodoo picks Eric's wardrobe13:04 Muse + Jev sort 116K followers for $3.3014:29 Neil's influential followers15:43 Why Neil waits for proof, then bets big18:11 Why this podcast works: persist vs change19:03 The personality test: 99% vs 1%20:50 Empathy at work

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