#101 - Pablos Holman: Hacking, Deep Tech & AI

16 Dec 2025 · 50 min · 15 chapters

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In short

Pablos Holman discusses responsible hacking, cybersecurity realities (dragnet vs targeted attacks, nation-state limits), zero-day markets (disclosure vs weaponization), and how inventing differs from craft. He then defines deep tech as non-software breakthroughs that can 10x industries (energy, food, sanitation, construction, mining), and explains how his venture fund backs early lab/garage inventors. He also forecasts AI’s next transformation beyond chat, emphasizing AI as a decision-making tool that will accelerate drug/materials discovery and other “100-year-old” industries, plus a global view centered on energy access and reduced conflict.

Guest backgrounds

Pablos Holman is a “legendary hacker,” inventor, and deep-tech investor; helped launch Blue Origin with Jeff Bezos; co-founded Intellectual Ventures Lab with Nathan Mirvold; TED talks with tens of millions of views; runs/hosts The Deep Future and wrote Deep Future.

Key claims

most hacking risk is ambient; nation-state attackers often can’t be fully defended against; use password managers and avoid suspicious links; zero-day window is valuable and often sold via brokers to governments; deep tech beats “shallow” software-only disruption; AI will unlock major scientific and industrial gains.

Notable examples

wind-powered cargo ships; AI designing chips/rockets; AI for drug/materials discovery; protein folding; microbiome/neurons modeling; energy scaling to reduce global wars.

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

Growing Up in Alaska and Early Interests

1:26 to 2:34

Pablos shares his early experiences with computers and technology.

“You're probably the first guest on our show that grew up in Alaska.”

The Hacker Mindset

2:34 to 4:10

Discussion on what it means to be a hacker and the curiosity involved.

“And then I sort of defected into deep tech later on.”

Understanding Cybersecurity Threats

4:10 to 6:23

Pablos explains the concept of being targeted and common cybersecurity threats.

“I guess there's an inherent curiosity that in some ways is born in you that makes it makes this an attractive endeavor.”

Practical Cybersecurity Tips

6:23 to 10:56

Essential steps individuals can take to protect themselves from hacking.

“So if we talk about hacking a little bit, what are some of the uncomfortable truths, the attacks you can't fully avoid if you're a targeted individual or company?”

The Zero Day Market and Ethical Hacking

10:56 to 14:00

Explaining how hackers work and the dynamics of zero day vulnerabilities.

“And that is as good as you can get in general on this stuff.”

The Value of Zero-Day Attacks

14:00 to 15:37

Explore the black market for zero-day attacks and their implications.

“And so in that window, it can be very valuable.”

Craft vs. Invention: Understanding Creativity

15:38 to 19:19

Discuss the distinction between craft and true invention in creativity.

“I mean, it's very advanced at this point.”

Defining Deep Tech: Beyond Software

19:20 to 22:39

Learn about deep tech and its significance compared to traditional software.

“a new game that hasn't existed in the past and then it starts a new craft.”

Bringing Deep Tech to Life

22:40 to 24:58

Discover how inventors transform deep tech ideas into real products.

“deep tech is a chance to course correct and go after all these other big industries, big problems, things that Silicon Valley has been ignoring.”

The Future of AI: Decision Making and Transformation

24:59 to 28:00

Examine how AI can enhance decision-making and its future applications.

“And so every day I see all kinds of amazing breakthroughs.”
Show all 15 chapters

AI's Potential and Creative Destruction

28:00 to 31:18

Explore how AI can address complex problems and disrupt outdated industries.

“And so fundamentally, these are tools to help us make better decisions.”

Embracing AI: A Mindset Shift

31:19 to 37:24

Learn about the mindset needed to engage with AI technology effectively.

“And I guess to realize that you need a lot of people, or at least enough people who have that vision, have the fortitude to take that step and to be an innovator and an inventor.”

The Future of AI and Global Impact

37:25 to 42:04

Understand the implications of AI for global accessibility and technological democratization.

“So yeah, that's to me, that's the real big advancement in that it's so easy to use that you can even ask it how to use it in the way that you typically work.”

The Future of AI and Global Energy

42:04 to 47:33

Exploration of AI's impact and the need for energy equality globally.

“But, you know, that's pretty impressive considering, you know, the first smartphone was 2007.”

Appreciation and Insights

47:33 to 48:00

Final reflections on the conversation and its broader implications.

“biggest, the big picture and speak to that level, I think is really helpful because, you know, people every day are looking at what's right in front of them.”
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Transcript

Automatic transcript. May contain errors.

0:05Pablos Holman:Welcome to the Insightful Investor Podcast, a weekly series that seeks to share industry, investment, and market insights. We define insights as concepts that are counterintuitive, widely misunderstood, or underappreciated. In other words, unique ideas that you probably won't hear elsewhere. I'm Alex Shahidi, the host of the podcast and co-CIO of Evoke Advisors, a leading investment advisory firm. Learn more about our show at insightfulinvestor.org.

0:38Pablos Holman:Today's guest is Pablos Holman. He's a legendary hacker, an inventor, and a deep tech investor. We're going to talk about all those things today. Just a quick background, he helped launch Blue Origin with Jeff Bezos and co-founded Intellectual Ventures Lab with Nathan Mirvold. So a lot of history there. Pablos' TED Talks have reached tens of millions of viewers. And today he backs bold ideas through his venture fund, which we'll talk about as well. He's on a mission to make the future awesome by understanding the world's toughest problems and finding technologies that can solve them, which he shares on his podcast, The Deep Future.

1:14Pablos Holman:He also has a book, Deep Future, Creating Technology That Matters, that we can talk about as well. And these are exciting topics for me. So, Pablos, welcome to the show. Cool. Thanks, man. Let me go back a little bit. You grew up in Alaska. You're probably the first guest on our show that grew up in Alaska. And so what sparked the interest in technology and later hacking? Well, I was born in Alaska and then I got one of the first computers Apple ever made when I was like 10 years old or around there. So the thing about that is nobody had ever seen a computer where I came from. And so there was nobody to learn from.

1:58I had to learn by just taking it apart and putting it back together and, you know, crashing it and rebooting it. And so I learned a lot about computers kind of the hard way. And then I got so excited about that because there was nothing else to do in the wilderness. Um, so I, you know, really felt this excitement about this new technology and I could see how it could be helpful to people. And they were very, very leery of that notion, but eventually, uh, computers became useful in a lot of different ways and went a lot of places. And so my early career was in, in, uh, advancing computers. And then I sort of defected into deep tech later on.

2:41Pablos Holman:One of the things that you list as one of your titles, in fact, is as a hacker. What does it mean to be a responsible hacker and why is that role worth respecting? Well, you probably start out as an irresponsible hacker and then find out the hard way how to become more responsible. I think of hacking as more of like a mindset or maybe a learning style. You know, like I described, I had to learn by reverse engineering the computer. And so the way hackers learn is they just kind of try everything and throw out the stuff that doesn't work. And that's not very common. But, you know, most people are good at just like reading the directions and doing what they're supposed to do.

3:25Hackers are violating the warranty before they got the shrink wrap off. So they're just sort of approaching everything with a different mindset. And it turns out, you know, computers are this bottomless pit of puzzles. And so they're very attractive to that kind of mind. But the same brain that's good for hacking is good at invention. And so to me, hackers are very important because they're the ones who are good at figuring out what's possible. And you don't get any new inventions by reading the directions. You know, you have to get them by being very creative. And so that's what hackers are good for.

4:06And so even now, I might not be trying to hack computers anymore, but I'm trying to hack everything else in the world. And that's how I think about it.

4:13Pablos Holman:I guess there's an inherent curiosity that in some ways is born in you that makes it makes this an attractive endeavor. Yeah, I don't know if it was if I was born with it, but I think you, you know, the curiosity comes from trying to figure out what's possible. You know, if you only know things that other people are teaching you are possible or that you see other people doing or see around you, you know, that might be interesting, but it doesn't exercise your curiosity in the same way as if you're trying to go figure out what is possible. And maybe part of that is just that, you know you have to get sort of uh literate in something for that kind of curiosity to really go somewhere you know if you don't know anything about like i'm not i don't know there's lots of things i don't know anything about you know like uh you know i don't know anything about foreign languages or something you know i don't know anything about um yeah you need the foundation right yeah you need a foundation and that way then your curiosity has you know a context that it lives in so but you know for me that was computers i'd learned a lot about the computer it was you know it was possible to always just go to the next level even now i'm i'm still i'm whatever i'm 40 years into that or something and i'm still i'm just trying to go to the next level What's the next thing I can figure out?

5:48What's the next thing I could do? And so I'm always soaking up. Of course, I soak up everything else other people figure out, but that's informing me so that hopefully, you know, I want to try and figure out the next thing.

5:58Pablos Holman:Yeah, and I think part of it is having an innovators or futurist type of mindset where you're trying to be creative and come up with the new technologies of the future. So you want to learn what we've already learned from history, but look forward to what does that look like in the future? Yeah, you want to learn what's already known as quickly as possible so that you can build on that and go to what's unknown. Yep. So if we talk about hacking a little bit, what are some of the uncomfortable truths, the attacks you can't fully avoid if you're a targeted individual or company? Well, look, I think you got first the first sorting filter is, you know, are you being targeted?

6:41And most people are not being targeted. They're just getting caught up in the dragnet of, you know, ambient hacking. You know, once we find an attack, we're going to run it against every IP address on the Internet, see what falls in our lap. That's what most people are dealing with. That's your phishing attacks and stuff like that. whereas if you are a target and that means you know something about you is valuable enough that somebody wants to come after you then you have a different class of of problem to deal with and it can be very difficult um to defend yourself and so then you really need to break down well what you know who what what is the capacity of whoever's targeting me right so if your attackers or nation states, man, you're probably doomed, depending on which nation state, I suppose.

7:39Because they have the abilities a lot of times to get a hold of the latest and greatest attacks. And these are very valuable attacks because they can be used against people who don't know that the attack exists. If you don't know it exists, it's hard to defend against it. And so the kind of scale of and sophistication of cybersecurity between nation states is a game that most of us can't play. That said, you know, if you're not a nation state, you know, you're a corporation or you're a celebrity or something, a high net worth person, the attackers coming after you don't usually have access to the most sophisticated attacks.

8:25So their toolkit is limited to the the stuff we do know how to defend against. And so for people in that position, I think, you know, the, you know, this is a moving target. You're very unlikely to be able to figure it out yourself. You need to get help from people who play this game every day.

8:44Pablos Holman:So if you're an average listener and you're not a nation state, where are you most vulnerable to being hacked? In other words, what are some basic steps that cover maybe 80 % of the real world, real world risks and maybe even the extra steps. Yeah. I mean, the things that you hear all the time, use a password manager. That's number one. So you're not using the same password on multiple websites. That's really the most important place to start. Don't open suspicious emails and click on shit and that kind of stuff. No, probably don't install any more software than necessary on your computer or your phone.

9:23Probably using an iPhone is probably about as safe as you can get. I mean, it is the highest value target in the world, but also probably the most secure thing you could get away with using in day-to-day life. Those are the places to start. If you have a bigger problem, then I could try to give you advice, but it would change over time. So what you want is somebody who plays this game regularly. And by that, I mean, you know, people who are in the defense in cybersecurity business, you know, the first thing they're going to do is run system update, try to keep you updated. They're going to look for opportunities to maybe install some software that can monitor what's happening and look for any anomalies or any weird activity.

10:11And so it just depends on your situation, what level of diligence is required, you know, or is reasonable. The way to think about it, you know, we have this maxim in computer security, which is, you know, if you're being chased by a bear, you don't have to be able to run faster than a bear. You just have to be able to run faster than your friends. And that is really the job here. It's a war of escalation. You can never win the game, but you can easily lose, especially if you don't play. And so you really just need to get in the game a little bit, figure out where your risks are and try and do something about it, not be the low hanging fruit.

10:56And that is as good as you can get in general on this stuff.

11:00Pablos Holman:And effectively be running. If you're standing still, you're going to get caught. Yeah, that's right. So if we pull back the curtain a little bit, would you just walk us through how the hacker community works. In other words, walk us through this concept I've heard you talk about called zero day markets and that tension between disclosure versus weaponization. Yeah. So this game is pretty highly evolved at this point. And what's happening is, you know, any piece of software in the world, which could be Windows or Gmail or anything that you use, that's software that's getting written. The software is designed to do something for the user, But, you know, the people who are building it are just trying to make it work and, you know, fix some bugs, but add some features.

11:44And they don't really, you know, necessarily have time to think of all the deranged things that a hacker might do to their software. And hackers are really good at figuring out all the all the ways the software can be made to do things it's not supposed to do. And at the end of that might be give me your password or credit card number or Bitcoin wallet or whatever. And so the game is involves a lot of, you know, you could say the the attackers are trying to is you got hackers who are trying to just figure out what's possible in the US. Most of them are professionals. And, you know, the the job opportunities for them are so good that they're not trying to steal your credit card number.

12:30You know, fraud isn't a good business for them. But if you're in Eastern Europe or somewhere in Asia with nothing else to do and the law enforcement isn't too sophisticated about cybercrime, then maybe the best economic opportunity for you is to try and hack into people's computers and get their PayPal account or something. So that's what's going on. And once the hackers, what we call white hat hackers, these are the folks who are researchers who are discovering vulnerabilities. What they'll do is they'll publish them. You know, first, if I find a, you know, let's say I find a way to hack into Android phones.

13:12Well, the first thing I'm going to do is reach out to Google, which makes Android. And I'm going to say, look, I found this bug, giving you a heads up so you can fix it, send out a patch, run system update, keep people from being vulnerable. But in 30 days, I'm going to publish about it publicly. Now, the day I do that, everybody knows about it. And so that hack will get systematized by criminal hackers, you know, the attackers, and they'll go try and exploit every opportunity they can get out of it. That 30-day window in the middle is called zero day. It's a zero day attack because you could say even before the 30-day window, it's a zero day because I know about it, but Google doesn't.

14:00Android doesn't know about it. And so in that window, it can be very valuable. So some hackers, what they'll do with that is once I've got this zero day attack, I can go sell it. Now, there's kind of a black market for that, but the truth is most hackers would sell it to a broker who then sells it to governments around the world because they're really the only ones you can sell to without having to worry about some legal ramifications. intelligence right i can sell an attack to the cia but i can't go sell it to you know um general motors you know um and so that's kind of the the game that's being played most people never see this or would have anything to do with it but along the way that attack is very valuable while it's a zero day attack so that's worth a lot of money if i had a zero day on iphone that's worth millions and millions of dollars because someone could take that attack and then use it against the highest value people on earth who have iPhones in their hands.

15:11So that's the game. And then, of course, Apple doesn't want those attacks out there. It devalues their brand. It's risk for them and their customers. So Apple's trying to stop this as much as possible. And they're pretty good at it. But there are times when things are vulnerable and other times when they're less vulnerable. So there's kind of a weather report about that stuff.

15:32Pablos Holman:So basically, this community helps keep more people safe effectively. Oh, yeah, for sure. I mean, it's very advanced at this point. And there's a whole systematized process for sharing this information. You know, all the big companies work together on it. It's not something they don't try to compete on being more or less secure. If two companies hate each other, they're still going to share any information they find out about being hacked. Yeah, because it's the good guys versus the bad guys. And in that sense, they're on the same team. Yeah. You are a futurist and an inventor. How is inventing different from craft, even though both require skill?

16:16well i think uh a lot of people when you think about the people that uh are often celebrated you know we celebrate humans who are really good at something and that could be your sports ball heroes it could be you know actors or singers or you know djs or painters or whatever and these people are often considered creative but you know mostly what they're doing is what I would call craft. You know, they're perfecting a skill. They're getting really good at it. They're getting to the world-class level at their skill. But what have they really created? You know, at the end of the day, a small fraction of them are truly creating something new or something that is actual art, meaning art in the sense of like an advancement in their craft.

17:15So that's true. You could get into the Olympics and not be creative at all. You could be in the top 40 with hip hop tracks and not actually be creative. You're just doing a real good job of something that was already done before, maybe millions of times. And so I think we're a little miscalibrated on what creative means. And what's interesting is if you think about what does it mean to invent, there is no craft of invention. Really, it's got to be creative. It has to be new. And it actually has the additional frustrating requirement of having to be useful, or it doesn't really go anywhere anyway.

18:05So an invention, I think inventors are oddly like our most creative class of people. It's not a legitimate career choice. There's no like, you know, Oscars for inventors. There's no like, you know, most people can't even name a single inventor that's not dead. It's one of these things where I think society is a little miscalibrated. You know, we celebrate these folks who are entertaining and really good at their craft but we have lost the distinction between between art and craft between creativity and craft and and i think along the way we lost our we lost any relationship to our most important creative class which is our inventors and so that's what i'm trying to do is really find these people and celebrate them in part, but also try and support them and bring their inventions to life because that's where we get all of our new superpowers as humans come from new inventions.

19:12Pablos Holman:I guess one way to think about it is each of these crafts in some ways is like a game and some people get really good at playing the game. But every once in a while, somebody comes up with a new game that hasn't existed in the past and then it starts a new craft. For sure. That's exactly right. And I think it's important to find those people and support them and help them out. And I know they sound crazy and sometimes they look crazy, but you got to nurture them along because they need the help. Yeah, because we're not going to advance as humans without more invention. That's for sure. Yeah. Would you define deep tech in simple terms?

19:53So when we talk about deep tech, a lot of that comes from trying to distinguish what we mean from the technology that people already have in their mind. Most people think we live in a world full of technology. And the truth is, we just live in a world full of software. Almost all the technology we've developed in the last couple decades is just software. We're just aiming software at more and more things. And our big tech industry, when you really pick it apart, what are they doing? They're just doing software. Their big wins are things like disrupting yellow cab with software, disrupting or reinventing hospitality or couch surfing with software.

20:43It's not really, there's no new technology there. They're not inventing something. They're not truly advancing the capacity for humans. They're not bringing us the superpowers that we need to go to the next level. So deep tech is the opposite of that. Deep tech is about looking at what technologies we can bring to life that could help us solve some of the biggest problems in the world. And by that, I mean, if you think about food or energy or sanitation or construction or mining or manufacturing, these are all things that every single human on earth relies on. and you're not going to improve them dramatically with software.

21:32And so by bringing other technologies to life, maybe we could make any of those things 10 times better or 100 times better. And so that's what deep tech is. And it involves a lot of robots and lasers and nuclear reactors and all the stuff that scares other investors and other people working in technology. But that's where the real opportunities to make a big difference are. So that's what deep tech is.

21:54Pablos Holman:So it's another way of saying that the other tech makes incremental improvements, but deep tech can do 10x. They used to call it shallow tech. Okay, shallow tech. Shallow tech is, it's not that it's incremental. I mean, you could, you know, if you take software into a business that never had it, you can make a big improvement. And, you know, look, I already told you, computers were my best friend in childhood. You know, like I love software, but we've kind of gotten drunk on software and, you know, stopped working on everything else. And now we've run, I think we've run its course on software and we've had to reinvent everything for the web.

22:36And then we had to reinvent it for mobile. And now we have to reinvent it for AI. But it's still just going after the same class of problems that software is already aimed at. deep tech is a chance to course correct and go after all these other big industries, big problems, things that Silicon Valley has been ignoring.

22:55Pablos Holman:I know you focus on helping get deep tech out of the lab and into a garage to become real products. Would you talk about that? Yeah. I think the exciting thing for me is finding these inventors who maybe are working in a lab or a garage with crazy hair and a DeLorean or something, but they've got a real breakthrough. They've got something that could make a difference. I'll give you some examples. I mean, that's the easiest. One of our companies has been working on making cargo ships that are sailing, so they don't need any fuel. And the shipping industry burns half its OPEX. So if you could make a cargo ship sail in the wind with no fuel, you'd save a lot of money, like billions and billions of dollars a year, hundreds of billions a year, spent on fuel in this industry.

23:50So why wouldn't we do that? I mean, sailing's been working since the Mayflower, at least. We know it works. So why is the industry burning this nasty bunker oil to move crap from China to Los Angeles. So that's an example. It's not even very deep tech, but it's an industry that's hundreds of years old. Nobody's getting around to reinventing how they do things, but we can. And so we will. And it'll make things a lot better. And that industry is massive. So we try to find inventors like that, help figure out if their idea can really be made economical? Can we do it cost effectively? Can we do it on a venture capital time horizon, which is kind of in the five to 10 year window at the most?

24:41And can it really be a big force multiplier? Can it change something meaningfully? And that's what we try to do. And we do lots and lots of them, you know, so we will do hundreds of these things. And so every day I see all kinds of amazing breakthroughs. It's really cool.

25:04Pablos Holman:And I would think there's each of those individually might have low odds of success, but huge impact if it works. So that's why you want to spread your bets. What we do is unique because we really do invest in the technology and all the investors coming after us are going to want to see, you know, contracts and customers and revenue and unit economics and all these things worked out. So we invest very early. But the idea is to get them shaped up so that they can be attractive to other investors down the road. And yeah, we know that there's a lot of risk when you invest in something this early.

25:41All kinds of things can go wrong. The thing you are doing could get outlawed. The team could have a falling out. There's just a lot of possible failures. So we offset that risk by doing lots and lots of them.

25:58Pablos Holman:I mean, to me, it just sounds like fascinating work because you're probably constantly exposed to new ideas that you didn't even think about. And then once you're introduced to it, you realize, wow, this actually makes a lot of sense. That's right. And I think for us, the sweet spot is really to try and go in and understand a new technology well enough that we could believe in it or invest in it. And not everything, you know, succeeds, but or, you know, not everything gets to the point where we could invest, but a lot of things really can. And a lot of time, we're not usually wrong about the technology.

26:38Sometimes we're wrong about how long it's going to take or how much it's going to cost in the end or things like that. But usually we're right about the technology by the time we invest. And then hopefully we can turn these things into real businesses. When we invest, it often looks like crazy high tech stuff. But the truth is, the day that first ship sails, it's just a cargo ship moving cargo. Nobody has to think about the tech anymore. And so, you know, that's the goal is to get these technologies to the point where they're not, you know, to where we take them for granted, like everything else.

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27:18Pablos Holman:You touched on AI a little bit earlier. So AI transformation is obviously a hot topic these days. How do you envision the ultimate transformation from AI emerging? Well, I think the biggest ones are yet to come. You know, AI fundamentally gives us the ability to understand the complexity of the world around us, make better decisions within that complexity. That's what is possible with AI because it can just use so much more data than a human brain could ever handle. It can use much more sophisticated chains of logic than a human can handle. And so fundamentally, these are tools to help us make better decisions.

28:08And I'm very excited about that. I think a world where humans are making better decisions would be very timely than what we're experiencing right now. And I think that we're going to get to the point here very soon where we start aiming AI at much more important and bigger problems. All the companies we work on are using AI in some sense that's not just chatting, right? We're using AI to design those chips. We're using AI to design rockets. We're using it to design better computer chips. We're using it to make better choices about everything that we do. And so that's really, and it's AI in a broader sense than the language models that everybody's using for their chatbots right now.

28:58That is also useful in its way. But I think the real upside from AI is going to come from the next set of applications where we're able to aim these tools at more important stuff.

29:11Pablos Holman:Where do you think it has the potential to unlock, you know, 10x plus types of improvements? Well, the obvious ones are things like drug discovery and materials discovery, you know, things where it's a little too complicated to do in a conventional sense. And so you just, we've been just trying to get lucky for all of human history. Now we can really go dig into that. And then on top of that, you have things like the protein folding and stuff that's, you know, way too computationally intensive for us to do in the experimental fashion or whatever. trying to understand the microbiome, model the neurons in your brain, the cells in your body, really be able to understand biology in a way that we can optimize that, try and keep people from dying of things they don't want to die of.

30:11That would be a nice advancement. But it's not just that. The truth is we live with a bunch of 100-year-old industries or 200-year-old industries. And these industries, like shipping, are very unlikely to make dramatic improvements. Any taxi company in the world could have made an iPhone out. None of them did. That's kind of what's going on in some industry like shipping. The auto industry could have made electric cars. None of them did. Had to be a Silicon Valley startup. NASA could have made reusable rockets, but they didn't. So had to be startups. So I think there's a kind of creative destruction cycle that has to happen.

30:55We have to leave these old industries to get crusty and die. And we have to replace them with startups that are armed with these new superpowers. And AI is chief among them. It's just the most universally useful tool we've ever had. And so we're at the beginning of figuring out how to wield that and how to aim that tool at all the things we could make better.

31:19Pablos Holman:And I guess to realize that you need a lot of people, or at least enough people who have that vision, have the fortitude to take that step and to be an innovator and an inventor. And you need the support to help them get there. You need everybody is the truth. One of the really important people you need is somebody with a vision for a better future. and that could just be like, you know, tomorrow we're going to do better than eating at McDonald's. You know, it could be, that could be the entire scope of the vision. It's like, I'm not eating that again. But, you know, the, the vision could also be like, oh, we're going to 10 X global energy production.

32:01We're going to do it with clean energy. We're going to make it super cheap. Everybody's going to get enough for the first time. You know, that's the kind of vision that gets me excited. And that's, you know, we try to find the technologies that could make that vision possible and bring them to life. And so, yeah, you need an inventor and you need some physicists and need some really smart people, but you also need, you know, somebody to do human resources and you need somebody to figure out the insurance plan. You need somebody to do the accounting and you need people to work in the factory. We need everybody is the truth.

32:38So it's important to support the people who have the vision that you believe in and that you, that a vision of a future that you'd want to live in. And I think everybody should be trying to find some of those people and figure out how to work for them and help them out.

32:53Pablos Holman:For listeners feeling intimidated by fast moving AI, what mindsets and first steps should they take to plug into the evolution instead of just sitting and watching from the sidelines? Yeah, well, I think a very good place to start is just to understand that you are still an advanced monkey. You know, we all have a lot of biological instincts and cognitive biases and things that are sort of evolutionary artifacts. And by that, I mean, you know, we're kind of evolved to want to like, you know, I don't know, kill off all the men, steal each other's food and girlfriends. That's kind of what your biology wants.

33:41And we learn over time to tame those instincts and get them under control. So one example is, you're tuned for fear. You're tuned to be afraid of anything new or different. You're attuned to be scared of things you don't understand. And so AI is the kind of thing that's sort of optimized for seeming like it's impossible to understand. And so people are scared of it and they're scared of what the implications might be. But I think the best thing to do is lean into it. You know, you're not going to hurt anything. One of the great things about computers is you can just reboot them. If there's a problem, you just turn it off.

34:21you know that's not true for other people and you deal with lots of other people all the time and they're scary and they're unpredictable and you know how they work and there's all kinds of you know failure modes with them and you're sort of stuck dealing with them and you can't reboot them and you can't shut them down not legally at least yeah so you know with ai don't be afraid you're not gonna hurt anything go in there and poke at it and play with it and try things and You can try anything you want. You're not going to hurt anything. So I think that helps a lot. Anything that you find yourself doing repeatedly, like any task that you do all the time or that you know really well or understand really well, go try and get an AI to do it.

35:09Just a little task, one little thing that you do. You know, like today I had AI. I was looking at LinkedIn. I was going to cut and paste this guy's name from LinkedIn into my like app where you keep track of people. Well, I can cut and paste. I've done that like a million times in my life. But this time I just told the AI like, hey, grab this guy from LinkedIn and stick him in my other app. And the AI is connected to the browser. It's connected to the other app. And it just did that for me. You know, and it did a better job than I would. It got his name, it got his LinkedIn, it got his company, it stuck it all in there.

35:48I didn't have to do anything. It was pretty cool. And anybody could do that.

35:52Pablos Holman:I think the part about AI that's interesting, unlike when you were 10 in Alaska and a computer lands in your lap and you have to figure out how to take it apart and learn about it with AI, you could just ask questions and it gives you answers just like a person would. For sure. I mean, you know, your odds of making this thing do something useful are like a million times higher than my odds of making something useful in Alaska in the 70s. So, yeah, I think, you know, and you could ask it to tell you how to do that. You can ask it to tell you in your native language. You can ask it to tell you in your native language like you're four years old.

36:28You can ask it to tell you in a rhyme. You can do anything to try and help you along. So, you know, all you got to do is talk to it. And I think that's very exciting because for up until now, computers, you know, you really had to invest like I did. You had to invest a lot in learning how to talk to the computer in its language. language well now anybody can talk to the computer in their own language whatever it is and so i just think you know this is very democratizing in a sense it's making computers and the power of computers much more available to anybody you don't have to learn to program you can just talk to the thing tell it what you're trying to accomplish and it'll try to help figure it out for you and so that's pretty exciting i mean i don't know why you would want to sit on the couch and mope about potential problems with AI when you could just sit on the couch and talk to AI and have it do your bidding for you.

37:23I mean, that seems like a much better waste of time to me.

37:28Pablos Holman:So yeah, that's to me, that's the real big advancement in that it's so easy to use that you can even ask it how to use it in the way that you typically work. And you basically are building a relationship with this machine that can be your friend that has a PhD in every category in human history and can give you feedback and you'd learn together. Yeah. So when we think about AI and its impact, what time horizons are realistic? Is this going to take much longer than people anticipate or portions happen right away and the big stuff is later? How do you think about that? There's a lot coming and it is going to get better and it is going to be a lot more useful.

38:11But even if we didn't get any more breakthroughs or any new inventions, what we've got now, we could spend the next 20 years. We spent the last 20 years just making enterprise software and iPhone apps. And that was a huge jump for humans. If we spent the next 20 years just implementing the AI we got and putting it to use in different places, we could keep busy. But we're at the beginning because the huge unlock here is that we're building right now enough computational capacity to really go all these different places that I was talking about. And so there will be a lot coming, but I don't think it makes sense to wait.

38:57I think it makes sense to just get a little bit literate, get a little used to this. You'll get your toes wet and then get your whole foot in and eventually you can dive in. I mean, there's a lot that's possible here. So as far as time horizons go, I mean, look, I think this next year you're going to start really seeing AI contextualized in different applications that you use, contextualized in different tasks and jobs and things. It's going to start going places in a more useful way instead of just being a want to chat with our AI button on every website, it's going to actually be behind the scenes doing more and more things for you.

39:38It's taking time for every company, every product to figure out how do they incorporate this into what they do. But that's all happening now. And then, you know, we're working on trying to make AI a thousand times cheaper, a thousand times less energy, a thousand times more accurate and explainable and make AI able to be much more creative and be able to help us with scientific discovery and inventions and all that. So I think everything here just levels up. It's going to be awesome. I mean, you know, it's also going to suck, but mostly going to be awesome.

40:18Pablos Holman:Well, there's a tech war brewing globally. What are some of the key points the average person might miss? Yeah, I mean, an average person in America is going to get to come along for this ride, whether they participate or not. You're probably in the best place in the world as far as I mean, it is a lot of change and it is a lot of agonizing that people have to do and all that. But you're in the place where you're going to get most of the benefits, whether you're whether you try or do anything or contribute or not. The problem with that is that, you know, there are very few countries in the world right now that can afford to play at that level.

41:01China certainly has doubled down and they're trying to do that. So I think that's also a pretty awesome place to be for this transition in its way. But that said, when we're building AI, we're trying to build it at a very large scale. To justify that, you need every customer on Earth. And so we're building the capacity to serve every customer on Earth. And so you might be in the Central African Republic where there's no internet, but we're busy trying to get you internet. We're busy trying to turn you into a customer for the same things that Americans get. And so, you know, that's actually an important thing to understand about computer technology.

41:50It is the most democratized technology. You know, everybody on Earth pretty much has a smartphone at this point or could get one. You know, there's certainly some folks at the end of the tale that we still need to get to. But, you know, that's pretty impressive considering, you know, the first smartphone was 2007. seven. So we're 18 years in and almost everybody on earth has a smartphone and data service for it. And when you get that, you get Wikipedia for free, you get YouTube for free, you get all these other amazing things. And so AI is going to be one of those things that you also get. And so while there will be some, you know, you could say inequality about access to AI, I may have a better, newer AI than you, but that just means I have the one you're going to get next month, you know, and everybody else in the world is going to get it the month after that.

42:45So we're really not looking at nearly the disparity. I think it's more about whether you choose to use it and whether you find some productive way to use it. So I'm excited about seeing, you know, seeing what people do armed with these tools.

43:01Pablos Holman:So taking all that into account, would you help us see the future through your eyes? In other words, if you could paint a picture of everyday life, you know, 10, 20, 30 years from now. The way I think about it, we made 8 billion humans. It's as far as we know, the most ever. That's a lot. We have not actually made what they need to thrive. And that starts with energy. You know, we're all made of energy. So we have made enough energy for Americans. we've made almost enough for Europeans but the truth is most people on earth don't get access to nearly as much energy Americans get about 9 or 10 times as much energy as the average person on earth 9 or 10 times as much to get those averages 3 billion people live on not enough energy to get clean water to get reliable sanitation.

44:06They're living in places where infectious disease is a real threat to their lives. Those are diseases that we've eradicated in the West. So I think there's a lot of work to do just providing for people on Earth. And you could say, you know why do i give a shit i'm an american you know go bears um that's but but the truth is those are our neighbors you know we live on this earth with those folks when you look at what is going on around the world why are there wars most of those wars are about access to energy control of resources primarily energy well if we can show some leadership here if we can scale up production of energy, clean energy for everyone on Earth so they get enough, or maybe it's not as much as an American, we're sometimes a little decadent, but give them as much as a European, what are they going to fight about?

45:14What are these wars about? We pretend they're about a religion. Sometimes they are, but mostly it's about energy. So look at what's happened in Europe. Europe doesn't fight wars with each other mostly anymore, right? Spaniards and Italians would all love to kill each other, but they do it on the soccer field.

45:34Pablos Holman:And that's a much more peaceful world, right? So I think we could end up, in the timeframe you're talking, 20, 30 years, we can scale up energy production globally. We can get people, the last people out of extreme poverty. We can raise the living standard for everyone on earth to something more like what a European experience is. I mean, we've done a stellar job of reducing wars and reducing violence with a few minor exceptions here and there. But I think in 30 years, those will be gone. Those will be done as well. We won't have those kinds of conflicts. And people can get busy arguing about dumb shit on Twitter the way Americans do.

46:14It's going to be an awesome future. so that's how i think about it you know it starts with those things and then can go beyond that with uh you know with the other technologies but you know i'd say our job is to figure out how do we use these toolkit we have the best toolkit ever that's what these technologies are we're going to use these technologies to build our future we have the best toolkit we We have the most people. We have the most educated people. We have the most money. We have the most, you know, Humvees and Teslas and, you know, drones and everything that you could want to build the future.

46:54Like, it's never been a better time for humans to go build a future. So we have to take responsibility for deciding, like, what future do we want to build? We have the best toolkit ever to build it. So what excuse could we possibly have for not building an awesome future? So I just think that's the goal. Now people need to start thinking about what do we want to do with all these superpowers? If you want to just sit on the couch and watch Yellowstone again, that's fine. But we need some people to help us build an awesome future that takes care of everyone. That's what I want to do. Well, Pablos, I appreciate your ability to zoom out and your ability to zoom out and look at the

47:39Pablos Holman:biggest, the big picture and speak to that level, I think is really helpful because, you know, people every day are looking at what's right in front of them. And many people don't have the ability to zoom out as far as you have. So I feel that the conversation we had today was really insightful. So thank you for joining us. I really appreciate it. Yeah. Yeah. My pleasure. Well, thanks so much. Thanks for listening. We hope you enjoyed this episode. Please visit our website at insightfulinvestor.org to access past shows and learn more about our podcast. If you have questions, feel free to email us at info at insightfulinvestor.org.

48:17Pablos Holman:And if you enjoyed the discussion, please subscribe to this podcast to ensure you don't miss future episodes. And don't forget to forward today's conversation to others you think would enjoy listening. This podcast is provided for informational purposes only and should not be relied upon as legal, business, investment, or tax advice. All opinions expressed by podcast participants are solely their own opinions and do not necessarily reflect the opinions of Evoque Advisors, their affiliates, or companies featured. Due to industry regulations, participants on this podcast are instructed not to make specific trade recommendations, nor reference past or potential profits.

48:55Pablos Holman:and listeners are reminded that securities trading, commodity trading, and alternative investments are complex and carry a risk of substantial losses. As such, they are not suitable for all investors.

49:10Pablos Holman:Listeners should be aware that guests featured on The Insightful Investor may have current or past associations with Evoke advisors or the host, including as an investment manager of a private fund opportunity by Evoke or access through an affiliated Evoke fund or as a client. Participation as a guest on the podcast should not be perceived as an endorsement or testimonial with respect to Evoke Advisors, the podcast host, or their services. Similarly, the inclusion of a guest on the podcast does not imply that Evoke Advisors or the host endorses the guest or any company with which they may be affiliated or employed.

49:49Pablos Holman:Evoke has neither paid nor received compensation from guests for their participation.

From the publisher

Pablos is a legendary hacker, inventor, and deep‑tech investor who helped launch Blue Origin and co‑founded Intellectual Ventures Lab with Microsoft’s first CTO. He explains what responsible hacking means and explores how deep tech and AI can deliver transformative breakthroughs for the future.


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This podcast/webcast is provided for informational purposes only and should not be considered legal, tax, investment, or business advice. It is not a solicitation, recommendation, or endorsement. All opinions expressed by participants are their own and do not necessarily reflect the views of the Evoke Advisors Division of MAI Capital Management, LLC ("Evoke”), its affiliates, or any companies mentioned. Information shared has not been independently verified by MAI or its affiliates. MAI Capital Management, LLC (“MAI”) is registered with the U.S. Securities and Exchange Commission ("SEC"), which does not imply any particular level of skill or training.

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(As of December 22, 2025)

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