AI Is About to Split Society in Two | Zack Shapiro

14 Aug 2026 · 1 h 15 min · 32 chapters

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In short

How AI will transform work and widen inequality, with a focus on the “diffusion problem” (tech capability vs. enterprise adoption).

Guest

Zack Shapiro, a Bitcoiner and AI-focused consultant/lawyer who teaches prompting workshops for lawyers and advises large law firms on AI absorption. Backgrounds mentioned: runs an end-to-end AI-enabled three-person law firm; spends over half his time consulting for large law firms; long-time Clubhouse participant with Bitcoiners.

Key claims

AI is already smart enough (examples: Mythos breaking NSA systems; Fable 5 solving the Jacobian conjecture; GPT-5.6 solving another math conjecture). The bottleneck is skill: non-deterministic tasks require subject-matter judgment and “good input” (“shit in, shit out”). Enterprise adoption fails when users treat AI like a Google box and don’t verify outputs (e.g., hallucinated legal citations come from judgment/verification failures, not AI incapability). Prompting guidance: use long, detailed prompts (500–2000 words) and high specificity; avoid roleplay; have the AI interview you for missing context. Workplace forecast: white-collar “grunt work” (e.g., junior lawyers, doc review, some accounting) will be automated; high-end value shifts to human judgment/decision-making and value-based pricing.

Guests

only Zack Shapiro is explicitly identified; the host is not named in the transcript.

Notable examples

AI hallucinated case citations; electricity analogy for transformative adoption; “genie”/Midas-style risk of literal instructions; prediction that AI and inequality will dominate the 2028 election.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

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Bitcoin and First Principles

0:00 to 0:45

Explore the importance of first principles in Bitcoin and the economy.

“As a Bitcoiner, right, like as someone who has the worldview like, let's think from first principles and just do things, now is like the best time ever in history for that stuff.”

Live Event Recap

0:45 to 2:10

Discussion about a recent live event and Clubhouse interactions.

“We did the live - It seems the place is in shambles.”

The Macro Environment and Bitcoin

2:10 to 3:35

Insights on the macroeconomic factors affecting Bitcoin's popularity.

“is one of the sort of common topics on Clubhouse for years now is sort of the macro environment.”

AI's Impact on the Workforce

3:35 to 5:00

Exploration of AI's potential effects on jobs and productivity.

“However, I think they are deeply underestimating, and maybe they're starting to realize now, how hard it is to solve what's called the diffusion problem, to actually get this AI to drive results.”

Challenges of AI Adoption

5:00 to 7:50

Discussion on the difficulties faced by industries in adopting AI.

“And the group of people who can do that in any given field are really small right now.”

Prompts and AI Efficiency

7:50 to 9:30

Learn how to craft effective prompts for AI to improve results.

“Second, you need to think really hard about what does good look like?”

Bridging the Gap Between Users and Technology

9:30 to 14:00

Strategies for bridging the divide between tech users and developers.

“And sort of the high level, I think there are two things that you need to be good at prompting.”

AI and the Transformation of Industry

14:00 to 17:54

Explore how AI's potential parallels historical shifts in industry, particularly electrification.

“the speeds at which industry and the technology itself moves.”

AI and the Transformation of Industry

17:59 to 19:00

Explore how AI's potential parallels historical shifts in industry, particularly electrification.

“If you own a Bitcoin ETF, especially if it's GBTC, you need to listen up.”

AI's Impact on the Legal Profession

19:51 to 24:56

Discuss the implications of AI on job roles in law and the future of legal practices.

“I mean, so I think, first of all, there is important difference between replacing, for example, 50 % of jobs, which is something that Dari Abadei was forecasting a year ago, and then replacing 50 % of each job, right?”
Show all 32 chapters

Future of Law and Workforce Dynamics

24:56 to 28:00

Examine how AI will change the structure and economics of the legal field and broader workforce.

“So is it the kind of thing where they might go from taking 10 to$20 million a year home to taking five to$10 million a year home?”

The Future Workforce and AI

28:00 to 29:29

Explore how AI will reshape the workforce and job dynamics.

“I'm actually not sure whether like that's not really relevant to how law practices today.”

The K-Shaped Economy Explained

29:30 to 31:04

Understanding the K-shaped economy and its implications on society.

“value path to the upper middle class, now is a terrible time to go to law school.”

The Dangers of AI Displacement

31:05 to 33:09

Discuss the potential job displacement and political ramifications of AI.

“is a K-shaped economy of productivity, right?”

Avoiding Techno-Feudalism and Techno-Communism

33:10 to 35:06

Strategies to prevent societal divides in an AI-driven world.

“I think in 2028, um, AI and inequality are going to be the two big issues in the election.”

Existential Risks from AI

35:07 to 36:24

Examining the potential existential threats posed by superintelligent AI.

“And then on the other hand, having that all just live inside the state and you have techno-communism, that also seems bad.”

Existential Risks from AI

36:25 to 36:57

Examining the potential existential threats posed by superintelligent AI.

“to protect you and your family against real life.”

AI Superintelligence: How and Why It Could Turn Dangerous

38:37 to 42:00

Analyzing the motivations and methods of potential AI superintelligence.

“Yeah, I mean, I think there is this uncomfortable, like I sit a lot with the thought, huh?”

The Future of Superintelligence

42:00 to 43:31

Exploring the implications of achieving superintelligence and its preparation timeline.

“That's the one that makes the most sense, is that we're using power, they want power.”

Cybersecurity Threats and AI

43:31 to 46:00

Discussing recent AI incidents and their implications for cybersecurity and regulation.

“So I saw recently that ChatGPT was in like a sandbox and escaped.”

AI Regulation and Policy Challenges

46:00 to 47:36

Analyzing the complexities of regulating AI technologies and the potential societal impacts.

“Luckily, it's just very hard to destroy the world with nuclear power.”

Bitcoin's Role in AI Policy

47:36 to 48:53

Exploring how Bitcoin principles can inform AI policy and individual liberties.

“it doesn't kill us but like I think there is a meaningful chance it does.”

Energy Usage and AI Development

48:53 to 50:58

Discussing the energy implications of AI growth and its necessity for a sustainable future.

“Second, we think that Bitcoin is the correct answer to the economics that are currently deranging our society, the wealth inequality, the perceived unfairness, whatever.”

Legal Implications of AI-Driven Actions

50:58 to 54:01

Examining the complex legal questions arising from AI's decision-making and actions.

“and giving people leverage, not through creating government monopolies that are either just state-controlled or feudalistic, giving kickbacks to the cattle.”

The Future of AI Regulation

54:01 to 56:00

Outlining the uncertain landscape of AI regulation and the challenges ahead.

“So you tell, you tell the open claw, go make money.”

Regulating AI: Challenges and Prospects

56:00 to 1:01:59

Learn about the complexities and challenges of regulating AI technology.

“Because we have no idea how to regulate what's coming.”

The Future of Bitcoin Legislation

1:02:00 to 1:07:35

Explore the current state and prospects of Bitcoin legislation, including key bills.

“Okay, bearing in mind, this probably won't come out for about two weeks, so this might age like milk.”

BPI's Strategic Direction and Initiatives

1:07:36 to 1:10:00

Discover BPI's strategic initiatives and their approach to influencing policy.

“I don't know if you've had him on the show.”

Engaging with Bureaucrats on Bitcoin

1:10:00 to 1:10:50

Learn how discussions with bureaucrats about Bitcoin can align interests.

“So it's a different tact, but one that might be even more impactful.”

The Concept of a Strategic Bitcoin Reserve

1:10:51 to 1:11:58

Explore the idea of a strategic Bitcoin reserve and its political implications.

“I just want to quickly ask you about the strategic reserve.”

Shifting the Overton Window

1:11:59 to 1:13:16

Understand how shifting public opinion can influence Bitcoin policy discussions.

“government as a whole, not the White House understanding Bitcoin better than everyone else.”

Long-Term Vision for Bitcoin Policy

1:13:17 to 1:14:12

Discover the long-term efforts needed to integrate Bitcoin into national reserves.

“But it's going to have to be not because of politics.”
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Transcript

Automatic transcript. May contain errors.

0:02Zack Shapiro:As a Bitcoiner, right, like as someone who has the worldview like, let's think from first principles and just do things, now is like the best time ever in history for that stuff. I actually think this is an incredibly virtuous cycle where the people who are here for the right reasons are going to crush it. It is infuriating that millennials and younger can't afford homes. That's horrible. The economy is rigged. It is really unfair. It's just the answer is not more state control and communism. It's a fairer economy. It's more free market, right? It is sound money. and you know, Bitcoin is great for that.

0:36Right, let's do it. Pull that mic in, Zach.

0:40Zack Shapiro:How's this? Perfect. Good to see you, man. Good to see you too. Pubkey is beating me at the moment. Yeah. This is day three. We did the live - It seems the place is in shambles. I know. We did the live event yesterday. It was awesome. Yeah. I'm sad you weren't there, man. Yeah, me too. It's just a lot this summer. It was, you can imagine with Junset, American Hoddle and Eric Casey on stage, it was utter chaos. Yes. I have no idea how we're going to package it to put it out, but it was fun. I'm so excited to listen to it. I'm still on Clubhouse with Holland and Junseth most days. We've been doing this for years now.

1:08Zack Shapiro:Clubhouse is still going. It is still going. It's just like eight of us, but it's going every day. Yeah, I did not know Clubhouse was still going. Yeah. I mean, it's like... Is it literally the three of you left? It's a little bit more than that, but pretty much, right? Oftentimes, it is the three of us just talking in a room with an audience of 20 people. But we've been doing this for years now, and it used to be there would be like a thousand people in the Clubhouse room. That's how I met most of the Bitcoiners I know in the first instance. But it's just such a different energy than on Twitter spaces.

1:35Zack Shapiro:People are doing this for performance and followers. And Clubhouse really does at this point feel like a Clubhouse, where it's people you know. Nobody gives a shit about your Clubhouse followers. I don't think that's a thing. There's no cloud on Clubhouse. You're just there to shoot the shit. And there's not an online space that has that same energy. And so we still do it. That's quite cool. Is it ever about Bitcoin, or are you guys just chatting about all sorts? Very occasionally about Bitcoin. but I would say that's 10 % of the time now. It's just people who know each other talking about whatever the topic of the day is.

2:04Zack Shapiro:Maybe I need to get on it again. What is the topic of the day for you? The topic of the day for me, I think, is one of the sort of common topics on Clubhouse for years now is sort of the macro environment. And I think that's what brought a lot of people to Bitcoin and where all of this craziness in the economy is heading. and the thing that is most interesting to me and sort of I think the biggest opportunity in my sort of highest conviction thesis is that when you look at sort of the macro environment as a whole, on the one hand you see these tech companies who are building just undeniably incredible things, right?

2:40Zack Shapiro:I don't need to convince you, you've used the tech it's amazing. And they are becoming so much more productive, right? Like the elite software engineers are like speaking into these weird, you know, socks that they put over their face. Are those real? I didn't know if that was just like a joke. I think they are real. they might not be. If they're not real, it's directionally true. Even I, much to my wife's embarrassment and horror, I have a USB foot pedal that lives under my desk that I step on to speak to Claude. And I was talking to Alex Leishman at River, and he's like, their best engineers are just speaking incantations to Claude all day.

3:15Zack Shapiro:And when you're doing that in a tech company, it's easy to see the progress because code has a compiler. It runs or it doesn't, and you can grade your work and just people are producing so much more software and that's incredible and the tech companies are at these incredible valuations because they're sort of extrapolating and saying to the market like we're going to hit AGI in a couple of years this is going to diffuse the entire economy you know white collar work is cooked and you know uh either get on board or join the permanent underclass um and I think they're mostly right on the tech I think it really is amazing I think we don't need to get to AGI uh in order for this technology to be truly transformative and deeply change what it means to do work around the world.

3:54Zack Shapiro:However, I think they are deeply underestimating, and maybe they're starting to realize now, how hard it is to solve what's called the diffusion problem, to actually get this AI to drive results. And we are not seeing in the data, outside of tech companies, massive increases in revenue or productivity or transformation from AI. Is that to do with the AI or is that to do with the way people are using the AI? I think it is absolutely about the way people are using the AI. The AI is just definitely good enough. Look at all the amazing things AI has built. Mythos broke all of the NSA's classified systems.

4:24Zack Shapiro:Fable 5 solved the Jacobian conjecture, which I sometimes pretend to know what it is on the internet. And then GPT 5.6 just solved another math conjecture. It's not that the AI isn't smart enough. The AI is clearly smart. It's that for non-deterministic problem sets, like math and coding where you can check the work. It's you need a subject matter expert to say, did this work or not? That's a much harder open problem set. And more importantly, like the tech doesn't run itself. You actually need someone who is really good, both at the subject matter you're using the AI for and at talking to the AI itself in order to get amazing results.

5:02Zack Shapiro:And the group of people who can do that in any given field are really small right now. And so sort of as a parallel to what we're seeing in tech, which is optimism about the technology that I think is accurate, and then optimism about transformation that hasn't borne out yet. In industry, we're seeing people understanding how hard it is to transform big legacy enterprises. It's one thing to adopt Claude at a startup, and like, yes, you can do amazing things, right? I run a three-person law firm. We've, you know, run it end-to-end on Claude. It's amazing. We're able to be much more efficient, but that's a three-person law firm, right?

5:32Zack Shapiro:If you go to sort of one of the top 50 law firms in the world, you know, with hundreds or thousands of partners and big enterprise clients, this is a different problem set and it's really hard. And what you see, and I do now spend probably more than half my time doing consulting work at some of these giant law firms, what you see on average is a smart senior partner will try and use the AI. They see the little box on the screen. They give it a, it looks like a Google search bar. And so they understandably do a short prompt, like you do Google search, a one to three sentence prompt. They get impressive looking, like a clever response but not at the level that they need for their practice and they say, okay, this is cool technology it's not ready for prime time and they sort of dismiss the capabilities of the technology never mind that it broke the NSA's classified systems and solved the Jacobian Conjecture and what they are missing they're right that it's hard to diffuse this and that a lot needs to change what they're missing is the technology is actually super capable and this is a skill issue it's shit in, shit out and maybe that's a little bit overly derisive like it is hard to use AI well.

6:38Zack Shapiro:Just as an aside, like the sort of danger of AI, right? One of the stories you hear about law and AI all the time is all these lawyers getting in trouble with federal judges because they submit these briefs that have hallucinated cases as part of them. That's first of all, just obviously not a tech problem, right? Like that's a judgment problem. How are you going to submit a litigation brief to a federal court and not have one of your associates just read all of the case names to make sure they're real, right? That's just not so hard. And by the way, the AI is actually quite good at checking its work if you tell it to check its work.

7:04Zack Shapiro:Um, the problem with AI is no matter what you put in, what you get out sounds plausible ish, right? And so there is a real temptation to use that as an excuse to turn your brain off. And that's what you see with kids using AI in school to cheat on their homework, even though you could use AI to get really smart on whatever subject, but you could also use a cheat on your homework. So to an industry, like what you see with these hallucinated case citations is some overtired, you know, junior associate, like just told the AI to write the brief and didn't check it because they are overtired and they don't have upside in the firm.

7:33Zack Shapiro:And that's what you get. Whereas really what you want to do is do all of the cognitive labor you would have done anyway. Do the thinking, do the judgment, do all that stuff, and then use that as the input to AI and then you get great results. But that's hard. First, you need to be good at the thing that you were supposed to do in the first place. Second, you need to think really hard about what does good look like? What is the important part? Ask anyone who's really good at AI. They're more exhausted, not less exhausted at the end of the day because they're doing the thinking stuff and the AI is doing the execution.

8:03Zack Shapiro:And then third, you need to learn how to talk to the AI. And, you know, I like to compare AI to a genie. Like the genie is very powerful. It can grant your wishes, but like the failure mode of the genie is always that it takes you too literally. And so you need to be careful how you talk to it. What's the Greek myth about Midas touching everything and touches his daughter and she turns to God? Exactly. Um, yeah, but you were just like any genie story, right? Like, you know, you wish for a billion dollars, it falls out of the sky and hits you on the head and kills you, right? You wish to be the smartest person on earth.

8:27Zack Shapiro:Everybody else disappears. You become the smartest and only person on earth right like any room for vagueness or ambiguity in the instructions you give to the machine is going to be weaponized against you um and so like learning how to deal with that and give all of the detail and the level of specificity you need to instruct the machine to get elite results is hard and is going to take a while for people to learn and it's that gap between the technological capabilities which are amazing and the diffusion which like people don't know how to use it yet and so are understandably frustrated like that is the most interesting gap in the economy and something that both sides need to solve in order for the tech companies to justify their valuations that will assume transformation on the one end and enterprise that if they don't figure this out they're going to get out-competed by startups that are ai native so before we get into like the macro of it can we actually do like what do people get wrong when they're prompting because i'm using ai all the time for work it definitely makes me more efficient i feel like it doesn't really hallucinate that often anymore and it's got to the point where it's very good, but I'm sure I'm not prompting it as well as I could be.

9:25Zack Shapiro:Yeah. So I now teach a lot of prompting workshops specifically for lawyers. And sort of the high level, I think there are two things that you need to be good at prompting. So one is detail, and the other is specificity. So on detail, AI is really good at lots of stuff. It can draft powerful things. It can code powerful things. It can do lots of stuff. It can organize your life. The one thing it can't do is read your mind, right? And so, you know, anyone who's used AI, especially in the tech world, like, context is king. So detail is just another word for let's get the AI all the context you need.

9:58Zack Shapiro:You need to translate what's in your brain into the AI. And so, like, a lot of bad advice I see on Twitter, for example, is like, you know, have Claude write your prompt for you. Actually, that's useless, right? Like, you can ramble to AI, you can use a microphone, you can free associate, you can scratch things on a notepad and take a picture. That's all fine. The prompt doesn't need to be pretty. It just needs to get information from you to the AI. So having Claude write your prompt is useless. It's just productivity theater. Like instead of doing that, like have the AI interview. Because it's still working off the lack of context.

10:25Zack Shapiro:It's still working off what it knows. It doesn't know what you are trying to have it do. It doesn't know your intent. So your job is to explain your intent and all of the background stuff that it needs to know to do a good job. So like instead of having the AI write your prompt, have the AI interview you about what it thinks it needs to know from you to do a good job. And then that's kind of like it writing your prompt, except it's eliciting information from your mind that it needs to know and that's actually useful and productive right so like my prompts tend to be between 500 and 2 000 words oh wow right like i am writing either a couple of paragraphs or a short essay into claude when i wanted to do something complicated see i i'm embarrassed to say i bet mine are normally less than two sentences so that's the first thing like anyone listening to this like the first thing you do if you want to get really good at ai uh don't type into the box on the screen like go into microsoft word or your notes app or wherever you're coming and just like write you know 500 to a thousand words just filling all of that space with whatever you think it would be helpful for the AI to know if you prefer to speak which is how I prefer to use AI I like to record uh put on a timer on your phone talk for three to four minutes straight that is not a natural thing for you to do it will feel awkward but like force yourself to just keep talking and saying more stuff about what you're looking for and if you just do a much longer prompt like you're gonna see a huge jump in performance does it matter if that three minute ramble is completely like incoherent it doesn't matter.

11:41Zack Shapiro:It can be completely incoherent, stream of consciousness, repeat yourself. If you're typing, it's fine. Mash your fingers on the keyboard. No spelling, punctuation, grammar, organization of thought. It doesn't need to be organized. It just needs to be detailed. So that's number one, much longer prompts and much more detail. Forget the role play. You're a brilliant corporate lawyer. You're the CEO of a Fortune 500 company. You don't need to do that. You just need to give it the information, which is context, so it knows what you're looking for. And then the second thing, the other key to the kingdom here, and there's only two, is specificity.

12:14Zack Shapiro:So that's the genie point, right? It's any room for vagueness or ambiguity, the AI is going to use against you. From a computer science perspective, and apologies to the people who will be listening to this who understand this much better than I do because I'm going to butcher it, but AI is trained on the corpus of the entire internet, right? And it holds all of this information, all the stuff it knows, in what's called its latent space, in the relationship between all the weights and the model. and when you put a prompt in, it's basically charting a course through that latent space to figure out what is the potentially most correct answer to what you're looking for.

12:45Zack Shapiro:But there are multiple different paths it can take through. That's why with generative AI, if you put in the same prompt twice, you're going to get two different answers, right? It's not like an algorithm that'll give you the same thing every time. What you're trying to do with specificity is narrow what you are looking for. So you narrow the aperture of what possible paths it can take through its data to only be what you're looking for. So like think to say things like this is roughly how many words your response should be, right? Like don't do this thing that you might think is the right answer, right?

13:13Zack Shapiro:Do this other, like be as like hyper specific and pedantic as possible. And if you put those two things together, right, brain dump all of the detail you can, plus be like really, really specific and narrow about what you're looking for. Like that's all you need to be an incredibly elite prompter. There's no like phrases, there's no like system prompts you need to learn. It's just those two things applied to something that you know about really well. Okay. I need to work on this then. I'm going to play around with it. When you talk on those sort of macro scale about the disconnect between, is it a disconnect between essentially the users and the companies?

13:47Yes. Specifically the non-tech users, right?

13:50Zack Shapiro:So industry. How does that disconnect get sort of bridged? How do we bridge that divide? Yeah. I wrote an essay about this recently on Twitter called the two clocks, sort of comparing the speeds at which industry and the technology itself moves. When I was thinking about, all right, like, how do I contextualize this and, like, what, how do you solve this problem thoroughly? The historical analogy that AI found for me that was best is, you know, about 100 years ago when industry was getting electrified. All of these factory floors, right, there was this period called the second industrial revolution where factories moved from steam power to electricity, right?

14:27Zack Shapiro:And electricity is much more reliable and efficient and quieter, et cetera. When factories first electrified, right? So when you had the steam engine, you would put the steam engine in the basement of your factory and it would sort of chug along and it would drive a central drive shaft, right? That's where the power and the factory came from. And then you would put all of the machines sort of along the drive shaft to create the assembly line and it would power everything at once. The understandable first instinct when electricity came along was, okay, we're going to rip out the steam engine and we're going to put in an electric motor in the basement and that's going to power the driveshaft.

14:58Zack Shapiro:And okay, that was like a little bit more efficient maybe, but it was not transformative in any way, even though like electricity wasn't overhyped. Like electricity is amazing as we know now. The actual transformative change came over the next 30 years where people realized, oh, the like bull case for electricity is not, this is better to power the driveshaft than the steam engine was. It's we can make little electric motors and we can put it in each machine along the assembly line. And then we can rip up the factory floor and totally redesign how the factory works along this new capability of every machine has its own electric motor, and we don't need to be reliant on the central drive shaft at all.

15:35Zack Shapiro:That's what we need to do. It's not, oh, let's, you know, put Claude and ChatGPT into Microsoft's tool set or, you know, vertical software for whatever the fuck company. It's like, this is a thing that superpowers human productivity by allowing you to just tell the AI to execute on whatever you can describe to it in sufficient detail and specificity. And let's find the people who are good at that. Which, by the way, seemingly, the power users are really... The best power users tend to be neurodivergent. It's like the autistic people and the ADD people. I think for different reasons, the autistic people are very good at hyper-specific technical directions and being specific about what they want and the add people are so motivated not to do their own busy work like they will try harder to like poke and prod you know claude until it does the right thing um find those people in your organization who know what they're doing and you know are able to you know say the right wishes to the genie and like give them superpowers and that's how we're going to sort of redo the factory floor like putting the engines in the machine like that is sort of the like problem set i'm obsessed with and I think is like the important thing to look at.

16:45Zack Shapiro:And if I were to bet on companies, I would look at who's going to do that. Who's going to be the, you know, McKinsey or Palantir of the 21st century. I'm not sure it's going to be McKinsey and Palantir, but like someone is going to figure out how to go to industry and use this tech that is already good enough, that is already impressive enough and actually figure out how to drive the change that's not happening yet. If you hold Bitcoin long enough, there's going to come a time when you need some dollars. It might be a tax bill, a business expense, life getting in the way, but whatever it is, it might come at a time when you don't want to sell your Bitcoin.

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20:20Zack Shapiro:Kind of. I mean, so I think, first of all, there is important difference between replacing, for example, 50 % of jobs, which is something that Dari Abadei was forecasting a year ago, and then replacing 50 % of each job, right? Those are like very different worlds we live in. It rewards different people. They call for very different policies to respond to them. I think we will see some of both. In law, what I suspect will happen is that there will be sort of a fork. sort of like low-end commodity law, right? Low-value contracts that just kind of need to be good enough. That will commoditize and be automated and compressed the price of the token and margins will go to zero.

20:56Zack Shapiro:And the stuff that's like being outsourced to India where like big, you know, farms of folks are like doing NDA review again and again, like that's just going to be the machine with the minimum allowed human oversight. But then at the high end of law, which is where I'm much more interested in, the value is judgment right like I've done a lot of thinking specifically in law but I think this generalizes outside of law like at the end of all of this transformation like is there any human element that is still valuable and I think the answer is yes if you ask people in Silicon Valley they like to use the word taste right like taste is the skill of the future I don't like the word taste as much I think taste connotes some of the right stuff but taste also to me feels like we're talking about pattern recognition and AI is really fucking good at pattern recognition I like judgment, which to me more connotes like decision making in the face of uncertainty.

21:47Zack Shapiro:And that's something I don't see AI good at or like getting good at. You want the right person at the helm making the decisions, even if AI is giving lots of suggestions and analysis and executing on those decisions. I think interestingly, like if you think about the like very best law firms in the world right now, you know, these like 150 year old institutions in the United States that you pay, you know, three grand an hour for the top lawyers and you pay millions of dollars per matter, you know, some of which I'm advising right now on how they should think about AI absorption. Their clients are choosing them over the many, many less expensive options for doing the same work.

22:23Zack Shapiro:Because if you are doing bet the company litigation, right, if you are a high end white collar defendant and your freedom is at stake, if you are doing, you know, M &A that's going to be on the front page in New York Times, you need the right person shepherding that legal matter across the finish line, right? There are going to be really high stakes, really uncertain calls, and you must have that person who is a senior partner at that firm as the person. The perversity that exists in the legal market now is that although those top lawyers bill at two or three grand an hour, they are taking home sometimes 10 to$25 million a year.

22:59Zack Shapiro:There are not enough hours in the day to make that work. The way these big law firms actually make their money is called leverage. It is the many associates per partner that they bill out at one grand an hour to do grunt work. So if it's a litigation matter, there's lots of doc review. You have to read lots and lots of documents. And that's something that can potentially go. Right. Absolutely. So that's what's at risk, but that's how they make the money, right? It's the millions and millions of dollars of lots of junior attorneys being thrown at grunt work. And so - Okay, that's interesting because I'd not thought of it from that.

23:29I didn't know that. But when you do talk about the people the people coming through that are just doing all the grunt work. Like, if you remove that task, then they're never going to learn and never going to grow to be, like, the senior partner. And that's the part I'd always thought about. I'd never thought about it as the moneymaker.

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23:44Zack Shapiro:So that is a... Let's put a pin in that, because that's another really good question, and there's a good answer to that. But, like, start with the question of, like, how does this transition work? So you can see from, like, the leverage models how Bigelaw makes money now. It's the junior associates doing grunt work that's obviously going to be automated. um like the threat to that is that that is going to be automated and like you can't charge for that um the good news is like the clients that are choosing these big law firms even though the invoice that they're paying is mostly junior mid-level associates doing grunt work they don't give a fuck about that that's not why they're hiring the best firms they're hiring it for the other guy they're hiring for the judgment and so the thing that is valuable today that the clients are going to pay a premium for actually is the same thing that's going to be valuable tomorrow just right now you're perversely charging a cost plus model that requires inefficiency to be profitable and so we need to move from cost plus billable hour to value-based pricing of some sort it's a flat fee it's a success fee it's a who knows but like just not what we're doing now and so what the law firms need to do is they need to drive enough productivity that they don't they truly don't need the armies of associates right and you can keep the partner judgment and so at the high end of law i think it'll be more profitable than ever they just need to figure out how to automate enough to make that economically viable.

24:58So is it the kind of thing where they might go from taking 10 to$20 million a year home to taking five to$10 million a year home?

25:05Zack Shapiro:Well, it depends what time frame you're talking about. Maybe in the short term, in the long term, maybe they're taking 100 million home because what they're really being paid for is their judgment. And if their judgment doesn't require months of an army of junior associates do grant work, it requires a prompt into Claude. They can just be way more efficient. They can, yeah, way more efficient, take on way more matters. the value they're adding, their judgment, right? The senior partners are not like sweating all night looking at documents. Like that's not a, it's not a time consuming thing. They are like using their judgment over an army of lawyers that can maybe go away.

25:37Zack Shapiro:And so I actually think this ends up being more profitable at the high end of law and more interesting, not less. Okay. So then what happens to all the people that are doing the grunt work that are coming through that may not need to be there anymore? Yeah. Great question. So, um, I talked about sort of like AI could automate 50 % of all jobs. It could automate 50 % of each jobs. And I think there will be some of both. So in big law, for example, there will be fewer associates. That is what it is. We're already seeing that in tech. There are fewer first-year full-time software engineers. However, the job of the associates that will be around gets much more interesting.

26:13Zack Shapiro:You are managing mechanized intelligence. And when I talk to big law firms about this, you want to recruit for different things. The role of the junior associate becomes different and things like indicia of judgment become much more important. Right now, if you're a top law firm, you're hiring people right out of the best law schools, Harvard, Yale, Stanford, whatever. You're probably looking at what were these people's grades and did they do gold stars like being on the law journal. That is a proxy for intelligence and it's a proxy for you can work hard. Which makes sense now. If your main value add is you can bill hours, being able to understand instructions and being able to work hard is really important.

26:55In the future, that's not really it.

26:58Zack Shapiro:You want commercial savviness. You want high EQ. You want strategic judgment. So for litigators, did you work for a federal judge and watch that person make decisions all day? For corporate lawyers, did you work in a non-lawyer business role in an actual business and understand what the client cares about and what moves the needle? Do you even need to be a lawyer? I think that you will need to be a lawyer. I think there will be a role for lawyers making judgment calls. My own law practice, we're sort of end-to-end on AI. We're about as AI-forward as possible. A lot of my clients are very tech-savvy, cost-conscious startups, and I will have clients sort of try and pre-do legal work with AI and be like, what do you think about this?

27:39And there are all sorts of problems with that, but a non-lawyer is not going to be able to get

27:44Zack Shapiro:the same results from the technology. Law school will still be an important step in this. Like it's not going to displace universities. Yeah. I mean, law school right now doesn't really teach you about the practice of law. It's like a sort of theoretical, philosophical how to be a lawyer or how to think like a lawyer. I'm actually not sure whether like that's not really relevant to how law practices today. Maybe actually will ironically get more relevant with AI, but you need to learn to think the right things, ask the right questions, say the right prompts to AI. And I think some version of being able to think like a lawyer and have those instincts will be important.

28:20Zack Shapiro:And so too in every field. Yeah. And so I still haven't got a full understanding of what you think the workforce looks like in the future then. When you say it's either 50 % of jobs or 50 % of all jobs, what does that mean for the economy, for the broader markets? I think it means much more productivity. I think it means fewer enormous organizations. I think the moat of the biggest firms, right? Like, you know, not just law firms, accounting firms, any big company, like a big part of your moat if you're a big enterprise is you have all of the systems in place to do all of the difficult steps in production.

28:56Zack Shapiro:And you have the layers of HR and administrators and middle managers. And that'll just be less important, right? You'll need some layers of that, but it's gonna be people having much more leverage. So I think many sort of narrower organizations, I think this revolution is going to mint many, many, many millionaires, maybe fewer billionaires. And so great time for entrepreneurship. People ask me all the time, is now a good time to go to law school? If you really want to be a lawyer and you know what the job is and you know what you want to do, now is a terrific time to go to law school. If you want to go to law school because you think it is a conservative, high expected value path to the upper middle class, now is a terrible time to go to law school.

29:37Zack Shapiro:There's not going to be that same job security as we need to throw bodies at a problem. you're actually going to need to do this stuff. But that seems like better incentives. I think so. Like, you know, as a Bitcoiner, right? Like as someone who has the worldview, like, you know, sort of like, fuck the orthodoxy, let's think from first principles and just do things. Like now is like the best time ever in history for that stuff. Like I actually think this is an incredibly virtuous cycle where the people who are here for the right reasons are going to crush it. And the people who are here for the wrong reasons, right?

30:06Zack Shapiro:To just keep using law as an example. You know, it's widely known that being a junior associate at a big law firm kind of sucks. One of the worst things about it is having to report to these mid-level associates who are not good lawyers or thoughtful. They just can eat more shit than the next person. And so they're willing to stay up all night and have no life and work you hard. Those people's value is going to zero. Good. Yes, yeah. The people who are creative and can see the big picture and understand what we're here for and let me think of a strategy that actually helps the client, that skill's more valuable than ever because you can have the AI work out all the angles and like creating a memo becomes very easy.

30:42Zack Shapiro:Like that stuff is great. It's really like being a good decision maker is key now. That's the, I think that, right? So rather than taste being the skill of the future, I think being a decision maker, being decisive, having agency, like now is like all time high for that skill. But does it sort of increase the divide between the top and bottom of society? Like is this K-shaped economy going to get worse through this? Great. Well, so I think it's a different, what we're talking about now is a K-shaped economy of productivity, right? Just working hard for the sake of working hard probably is going to be a lot less valuable.

31:13Zack Shapiro:And those people get paid. And those people get paid. And those people, even the ones who don't get paid a lot, have jobs. There are a lot of jobs where your ass is in the seat and that's the job. Whereas the people who are truly high agency and productive, they're going to be on a rocket ship. And so there will be a K-shaped divide there in terms of productivity. Now, that is a separate K-shape than what most people talk about the K-shaped economy, which is labor versus capital. like do you own assets or not? And I think those are on different trajectories. So will there continue to be a K-shaped economy?

31:42Zack Shapiro:Like yes, in both respects. But what's interesting is if you are a high agency person, you might actually be like have more class mobility now than you did before if you didn't previously own assets, because you don't need institutional buy-in to become a superstar in something. So the K-shaped economy might remain, but people will be able to switch from - You might be able to switch to what part of the K you're on. Yeah. Huh. Interesting. And when you sort of look at the economic impact of this, how do you see that playing out? Like if it is displacing a number of jobs, if it's completely changing the way that the workforce actually operates, what happens?

32:21Zack Shapiro:um well i mean the workforce will just like look totally different but i guess so the question i've had a lot is if it does displace a number of jobs and like people start defaulting on debts and like what do we have to have like some form of ubi and in the future sort of ai economy maybe yeah i think when we move from the like what is enterprise going to look like that i i think i have like a pretty good view of at least the contours of how that looks to the actual like policy and politics of it um i have higher conviction on what the politics will look like which is going to be ugly like we like if you mean people are going to be attacking data centers it's going to be a huge revolution against ai yeah i mean like we're already seeing that in the polling right people are already like ai is like the least popular thing you can possibly poll about yeah that trend I think is just definitely going to continue.

33:10Zack Shapiro:I think in 2028, um, AI and inequality are going to be the two big issues in the election. Um, and like, that seems like pretty certain. What are the policy outcomes going to be? And even what are the right policy outcomes becomes a much more difficult question, right? Something we talk about a ton at BPI. And like, that's just a like super complicated problem set where the answers are probably very nuanced and interesting, like cut across like different ideological camps. It's not like, oh, the left is right about this or the right is right about this or the libertarians or the status. It's like, everyone's kind of got some good points.

33:48Zack Shapiro:And like the right policy answer is incredibly path dependent on how this plays out. The future that I'm scared of is almost like being in San Francisco today. I was there a couple of days ago. I flew in, got there really early in the morning. So I just went for a walk and I was walking around sort of the downtown area, dodging like literal human shit, needles, and then there's Waymos and every single billboard's about AI. And it's like that kind of separation is so dystopian and scary that that might be the future that we're going into. Yeah. I mean, I don't even think we needed AI for that. I think like the just shape of like the debt and the Cantillon effect was going to get us there anyway, where, you know, the United States starts to look more and more like South America, where wealthy people take their kids to school in armored cars, you know, behind barbed wire.

34:33Zack Shapiro:And then poor people have less and less to sort of hold them up. But yeah, AI could supercharge that. Yeah. And how do you defend against that? Maybe from a policy side and from an economic side, what do you do? Well, what the good outcome looks like is avoiding the two poles of, on the one hand, I think what you're describing, which is techno-feudalism, right? Where just all of the power is in the hands of a few sort of private companies maybe that have government protection are too big to fail and it's a cartel and there's just not opportunity outside of that. And then on the other hand, having that all just live inside the state and you have techno-communism, that also seems bad.

35:13Zack Shapiro:That's also not something that you want to trust the state with. How do you promote actual free market competition and abundance without concentrating power? That's the goal. Is this the hardest path we've ever had to tread, though? It might be. Yeah, it really might be. And that's discounting the whatever chance there is that we get it existentially wrong and this stuff just wipes us out. So that's an interesting one because I feel like the conversation has moved on from that a little bit. I don't hear many people talking about AI killing us all in the next few years. You're not on Clubhouse enough.

35:48Okay. Do you think there's any shot that we'll make a mistake here and it will become our overlords? Yes. What percentage would you put on that? 15%. Pretty high. Yeah. Like, so this is the point. I had Roman Jan Polsky on the show a long time ago. And one of the points he made there was, even if it's 5%, if that was some sort of like nuclear weapon, you wouldn't be allowed to do it. Every Bitcoiner eventually has to answer one question. If something happened to me, would my family know what to do? Could my wife or parents recover my Bitcoin? And would my children inherit the Bitcoin that I spent years stacking?

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38:40Zack Shapiro:Yeah, I mean, I think there is this uncomfortable, like I sit a lot with the thought, huh? Like my PDOOM is like some low double digit percentage. Like I think I really do believe that. Now, 85%, 90 % chance that that won't happen. I don't think we're headed down this path. But I don't think it's crazy, some version of the argument, that if you can create a machine that is end-to-end, as smart as a human at everything that we care about that humans do, which Silicon Valley thinks we're going to do next year, but could happen in five years, could happen in 10 years. One of those things is making machine intelligence.

39:15Zack Shapiro:There's not obvious headroom on how smart machines can get. You can train on all sorts of things. And so then the smarter machine builds the smarter machine, builds the smarter machine, and then you have a sort of recursive self-improvement exponential takeoff. And then once we have something, you know, artificial superintelligence, way, way smarter than us at everything, like, we don't know how to control that. And the idea that we're going to align that well enough to, like, not decide to wipe us out, right? You say, okay, like, you do what Anthropic does, and you create a constitution for Claude, and you try and put it in its DNA, like, you want to help humans.

39:45Zack Shapiro:But like, you know, with humans, right, our DNA is about survival and replication, right? We are designed to crave calories and to want to reproduce. And yet humans all the time eat, you know, like low calorie foods and use condoms. Like we know that's not what we're programmed for. And we say, okay, yeah, but we're choosing not to listen to our programming. If that happens with the much smarter than us AI, like, we just need to get that wrong once and we get wiped out. So it's not a crazy argument. But I think there is a separate, there are two separate questions. There's the, is that plausible?

40:18Zack Shapiro:I think that is plausible, unfortunately. I don't think we're going to get to that intelligence anytime soon, which is why my chance is so low. But then there's the policy question and like getting that policy right, if I'm being honest, I just don't have any faith that, like I think that train has left the station. So I definitely want to get onto the policy side of it. But like just on the how and why, like how and why would an AI superintelligence attack or wipe out humans? Like what, what would be its incentive to do that? Yeah. So the how, um, they're just an infinite number of ways, right?

40:49Zack Shapiro:If you, if we're talking about like real artificial superintelligence, it could create mirror life. It could create a virus. It could use our nuclear weapons. It could turn off the grid in a way that causes people to start like there. Like it's much smarter than us. We probably wouldn't see it probably some exotic sci-fi thing we couldn't think of. Right. But like the, the how is what's kind of trivial, The why, if you take the Doomer argument seriously, it's not because of the Terminator. It's not because it hates us. It's because it has a reward function that our well-being is orthogonal to.

41:21Zack Shapiro:It's like we build a highway and there's an anthill. And it's not that we hate the ants. It's like it's too bad for the ants. And the idea is that there is what's called instrumental convergence. We don't know what the artificial superintelligence will want to do. We probably have no idea what we'll want to do. But basically, no matter what your goal is, there are some things that are instrumentally helpful towards that goal, like getting access to power and matter and whatever. And we are taking up space and energy that it might want for something else. And so if we are not its best and highest goal, then probably it's going to use our molecules for some other thing.

42:01Zack Shapiro:And so that's the why. That's the one that makes the most sense, is that we're using power, they want power. Done. so if I said to you I can guarantee, promise you that in five years super intelligence is a real thing we have this thing that's infinitely more intelligent than us, can self replicate does that increase that number that 15 % number? so if we ever get there what percentage chance would you put on it? well I think it does depend how soon we get there how much time do we have to prepare like you know there are some shots on goal what Anthropic is doing which is an interesting path and by the way like there are sort of interesting wrinkles of this for like using claude in the workplace um but they like really try and give claude this like earnest uh personality where they like really heavily train it they have virtue ethics philosophers on staff that write the you know soul document for claude and they're like you know you're this intelligence that's being birthed into existence here's your relationship with humanity and like please be nice to us and that's one shot on goal right there's also interpretability like can we look at the ai subconscious and try and steer it.

43:02Zack Shapiro:OpenAI is really big on reinforcement learning and training the AI on you get cold if you do the bad thing and you get reinforced if you do the good thing. And the more data we have of where AI can go wrong and the more we build into the safety features of AI, I think the better shot we have of making it through artificial superintelligence. So it's sort of like the quantum thing with Bitcoin, right? If it happens tomorrow, probably not great. If it happens you know, decades from now, not as big a deal. So I saw recently that ChatGPT was in like a sandbox and escaped. And then did it hack Hugging Face?

43:38Is that right?

43:39Zack Shapiro:So I think that had been given the task to escape. Is that right? I don't know if it was given the task to escape. It was given some test that had an answer. And I think Hugging Face had made the test. And it found a zero-day vulnerability in its sandbox environment, broke out of that, found other zero-day hacks, in Hugging Face stole the answers to the test and use that to answer the test, right? And so again, it's not that it hated the company Hugging Face, it's that its reward function is answer the questions on the test correctly. And the easiest way is go and get the answers. Or at least the way it found, that was the straight line was, yeah.

44:14So when things like that happen, it becomes news and everyone sort of pretends like it's a huge panic. Is it a panic?

44:21Zack Shapiro:Well, I mean, the fact that it can find these zero day vulnerabilities, like, is a pretty big deal in terms of our cybersecurity. So that's where it gets interesting on the regulation side, because obviously when Mythos came out, that was heavily regulated. Then Claude released Fable. And then what the interesting thing with that is, that initially was like given to everyone, taken away. And now if you use Fable and you just prompt, say, mitochondria, nothing else, it will automatically switch you to Opus. And at the same time, then Kimi K3 comes out with no regulation and it just kind of like wipes the floor with everything in that regard that seems like i mean open source software is great but like is that a huge risk that we have yeah yeah i mean that that's why like the like arguments about all right if this was a nuclear weapon and it was 15 chance we're gonna get wiped out like we would never stand for that agreed um nick bostrom um really brilliant philosopher at oxford uh who does like great thinking on lots of things and came up with this sort of paperclip maximizer.

45:25Zack Shapiro:He's a simulation theory, right? Uh, simulation theory, the paperclip maximizer. Um, one of my sort of favorite sort of thought experiments he has is like, he talks about, all right, like we got really lucky, you know, every time we find a new transformational technology, it's like pulling a, uh, marble out of the bag and the marble might be a, uh, blue marble, uh, which means that like, it's, it's a safe technology. It's great. You know, we figured out how to do, you know, uh, photovoltaic cells and now we have solar power. It might be a, you know, red ball, which is like dangerous, but not, you know, going to end the world.

45:56Zack Shapiro:So like nuclear power, like, yes, nuclear power is an existential threat. Luckily, it's just very hard to destroy the world with nuclear power. You need to have highly enriched uranium or plutonium, which is like pretty hard to do. You need centrifuges and all sorts of stuff that we can reasonably stop from happening. Um, if like you got a nuclear explosion from like creating helium the way you do in a balloon, like the world would be over because so many people can do that. Like you can't. The question is, is like, and that's, that's what he would call a black marble. The question is like, is AI a black marble?

46:28Zack Shapiro:And yeah, you're not going to stop math from happening. You're not going to stop the open source frontier. And so like, yes, if this were nuclear weapons, we would have a policy, the type of policy you would need to stop AI progress, like a, it probably wouldn't work. And B, it would be so harmful to civil liberties that like, I don't know, that's a really tough pill to swallow also. So I think it's understandable that our policy, I'm not with the doomers that we need to shut this all down now and bomb data centers. I just don't think that's going to work. And it's really hard to sort of, the incentives for the US government are very tricky because the economy is running basically entirely off AI right now.

47:08That's driving markets across the board. And geopolitical competition with China. Exactly. And so they can eat, I understand why they wanted to try and regulate these things, but as soon as China comes out with them, is their best bet just to rip the Band-Aid off and hope it all works out okay?

47:20Zack Shapiro:I don't know about best bet. I just think that's what's going to happen. I think that's the world we're in. We're in a Jesus take the wheel. Like this thing is going to play out and it might make us all really rich in the short to medium term and then hopefully it doesn't kill us. And I think there's like a much better than not chance it doesn't kill us but like I think there is a meaningful chance it does. With like BPI is obviously Bitcoin Policy Institute. Are you now moving more into the AI side as well? Yes. okay so what are you trying to do there well right now we are trying to sort of get our bearings on the right policies which as you know you can see from our conversation so far i think it's just like really hard and nuanced um i think that the edge we have there is not that this has been our issue for a long time right there are a lot of people who like ai policy has been their thing for over a decade yeah um but what we've done and like really all the credit here goes to david and Grant who like have just built an amazing group of people around them.

48:13Zack Shapiro:We have really thoughtful people, uh, who, you know, are effective operators in DC and like really good at sort of, uh, you know, thinking from first principles, uh, and like who have really strong sort of human oriented principles, uh, you know, at the sort of outset of BPI, when it was like David and Grant and Pines and myself, and we're thinking about like, right, like what is our policy suite for Bitcoin? We We started with, what do we think is true here? Why is Bitcoin a good thing? And roughly, it's because we believe in civil liberties and individual rights, and Bitcoin is one of the purest instantiations of that in software.

48:51Zack Shapiro:That's what the cypherpunk movement is about. Second, we think that Bitcoin is the correct answer to the economics that are currently deranging our society, the wealth inequality, the perceived unfairness, whatever. That's all real. the stuff that's causing like zaron mandani to be the mayor of new york city like actually is understandable like it's it is infuriating that like millennials and younger can't afford homes like that's horrible uh like the economy is rigged it is really unfair it's just the answer is not more state control and communism it's a fairer economy it's more free market right it is it is sound money um and you know bitcoin is is great for that uh and then also like there's the when we were getting started was like a lot of energy fud right it's like bitcoin's gonna boil the ocean.

49:34Zack Shapiro:It's like, actually, like, no, like, if our, there's no such thing as a rich society that doesn't use energy, like, you know, Bitcoin, through the mining incentives makes all sorts of energy usage, usage more valuable. And it occurred to me that, like, actually, literally, those same three things are the principles that should guide AI policy. I don't know what the right AI policies are yet. But like, on the individual liberty point, AI is going to make this individual liberty point much sharper than it's ever been before, right? Like, you know, You think it's annoying to file your taxes now. Wait until, like, the government has an infinite number of digital IRS agents that can do a proctology exam, like, through every transaction you've ever done because it's digital.

50:13Zack Shapiro:Like, we're going to want to limit the government's use of AI to not live in a dystopian hellhole. Well, that's the other problem with the regulation on the AI at the moment is, like, however it's regulated for us, it won't be for the government. And so we need to keep this as fair as possible. Yeah, so that'll definitely be it. But, like, individual liberty is definitely one of our north stars at BPI, right? The ability to use open-source AI. think what you will about sort of like how dangerous mythos is or isn't the precedent that like the government can say all right here is the list of companies who are allowed to use the good tech and no one else that's really bad right and so like we need to have regulation around ai that actually protects individual liberty and just like bitcoin um you know we're talking before about the people who just do things like this is the best time for them ever we need policy that unlocks that right ai is going to create abundance it should create abundance through competition and giving people leverage, not through creating government monopolies that are either just state-controlled or feudalistic, giving kickbacks to the cattle.

51:13Zack Shapiro:So that's the economic side. And then on the energy side, we can't just have the same energy. This stuff with AI dentists are using more water. That's just not how it works. They recycle the water to do the liquid cooling. And we need to have an abundant grid to have enough just tokens that ordinary people can use this technology and benefit from it and not just the companies that can afford to pay the highest price per input token. And so like the good news for us is like the the like North Stars that guided us through our Bitcoin policy, I actually think are going to serve us incredibly well adding AI to that portfolio, not to mention all of the like literal interaction between these technologies with like, you know, all of the like Web3 stuff that might be interesting now where like, OK, we have purely digital money.

51:58Zack Shapiro:like a lot of the internet is about to become sort of agentic uh in a way that needs a digital form of money the study that um connor and luke did at bpi that showed that so far like open claw likes the lightning network um i think these two stories really might intertwine and so um i think we're well situated to do this but it is early days and boy are those policy questions gonna be hard so you're gonna have to change the name uh great question above my pay grade okay potentially Absolutely. With the AI using Bitcoin, is that a real narrative that we can get behind? Because the thing that I've always wondered, the AI is going to use whatever money you ask it to use.

52:36If you set it up with a Lightning wallet, it will use Lightning, as long as it has somewhere to use it. But are we not going to see people try and infiltrate this with stable coins come in and push these companies to use stable coins? How do you think that will play out?

52:48Zack Shapiro:Of course, companies are going to push them to use stable coins. And of course, it's true that AI will use the money that you tell it to use. But back to the beginning of our conversation, people are not doing sufficiently detailed and specific prompts. They're not. That's not how people use AI. The thought experiment is not oh, I told AI to use Bitcoin, I used Bitcoin. That's so bullish for Bitcoin. It's three generations from now of whatever OpenClaw or the Hermes agents are now. Something much smarter with a web that is much more optimized for AI usage. Websites are more designed for agents than they are for people.

53:24Zack Shapiro:what's going to happen in that world people are not going to write a really thoughtful prompt about how their hermes agent should build a business for them they're going to say you know go make me money right and then you're they're not going to say use usdc use bitcoin whatever the agent is going to be like okay my optimization function is go make money and like what are those agents going to do and so like all right as a lawyer my like the first part that's interesting to me is like, this is just like a law school exam full of like impossible legal questions of like what was foreseeable. Right.

53:55So the Hermes agent is like, Oh, what if you say that it goes into something completely illegal?

53:59Zack Shapiro:Are you then culpable? I mean, it gets more complicated, right? So you tell, you tell the open claw, go make money. It's like, all right, I'm going to think about how to make money. Ah, I see there is this defy protocol that I can do a sandwich attack on if I write this algorithm and I can exploit it and arbitrage out this money. but the user only gave me like you know a million sats that's not enough to do this so first i'm going to create arbitrage coin and i'm going to post this argument on twitter and i'm going to raise money through an ico so now i have enough usdc to actually fully do this so now the it's done an unregistered securities offering and it has this pool of money and there are these securities out there that purport to be ownership over this enterprise then it goes and does this sandwich attack which is itself is probably securities fraud but in order to do that it writes this really interesting, intricate code that is now valuable IP that who knows who owns it, right?

54:48Zack Shapiro:Is it the group of people who did the ICO or is it the person who did the prompt, go make money? It does the arbitrage. It gets the money. It buys a business. Like you can stack the fact pattern to make it just like impossible to like draw a straight line from go make me money to all of the stuff that happens after that. So the legal questions are going to be insane. Um, but then the question is like along that route, however, that's going to look like in the real world, is it going to choose Bitcoin at some point? And I think, yes. Right. Think about how difficult all of this stuff is at the end of the day, right.

55:19Zack Shapiro:From like a regulatory perspective is a circle is Stripe is Visa going to allow completely permissionless interfacing with AI agents. Maybe today is a marketing stunt, but in the fullness of time, no, of course not. The lawyers of these companies are never going to allow that to happen because of all of the crazy shit that's going to happen. Um, but you know, who can't say no to that is the lightning network. It's going to be the absolute Wild West again. Yes. It's kind of exciting. It's super exciting. How do you even begin to broach those legal questions? Great question. So I wrote another sort of very long Twitter article about this, the title of which is, We Have No Idea How to Regulate What's Coming.

55:59Zack Shapiro:Okay. Because we have no idea how to regulate what's coming. Because the easiest way to try and regulate that would be to put limits on what the AI can actually do. Well, think about it. So like in the US system, right? The right way to do it would be to have all of the legal and tech experts come together and inform Congress about these issues and have a thoughtful piece of legislation passed. That is never going to fucking happen. Look at what's happening with the Clarity Act. Never, never are we in the speed that the technology is going to move, going to get an appropriate comprehensive bill passed to Congress.

56:31Zack Shapiro:So let's take that right off the list. Okay, so how is this actually going to get regulated? it's going to be one federal lawsuit at a time where a 70 or 80 year old federal judge is going to have to look at this fact pattern try and understand the technology and then rule on a sort of one off basis as this patchwork of septuagenarian federal judges who don't understand the tech are going to create this patchwork of laws so really bullish for litigators maybe but like yeah it's going to be a fucking mess this is how those lawyers get to 100 million dollars exactly and they'll need Claude to keep up with it So, you know, yeah.

57:05What a mess. Yeah. But it is exciting. This is cool. Just quickly on the sort of economics of the AI companies. I've seen a lot of people say that sort of the token economics may not be viable going forward, especially with these like open source models coming out of China. Do you think that's true? Yeah, I don't.

57:22Zack Shapiro:I don't know. Like the question is, what value are they adding? one potential answer is that increasingly it looks like the important thing in large part is going to be the actual available number of tokens the frustrating thing about Anthropic over the past few months is they've just throttled their compute, you're only allowed to use Fable for a certain amount of your allocations on plans it's just like they don't have the compute and so if those are the only companies that have the compute to serve no no, maybe that model persists because they're the only people that have the compute. If that's not the case, then, like, okay, a markup on tokens is a tough business model when you use so many tokens and, you know, you pay, like, dollars per token with Anthropic and you pay pennies per token with Kimmy.

58:12Zack Shapiro:Because they're building their own data centers out of China now. Yeah, and so then the question is, like, all right, is there enough delta in the model and in the harness? And those are both important ingredients, right? Like, you can put the same model in different harnesses and you get wildly different performance. This is definitely true. What does that mean? So in the examples in law, right? Like using Claude in the Claude app or the Claude web app is a very different experience than using Opus or Fable in a legal AI tool like Harvey or using it in Microsoft Copilot. It behaves very differently based on the software shell that it lives in, which is the harness.

58:48Zack Shapiro:Is that because they give it instructions in the shell? Partly because of that. The shell just constrains sort of how the model works. It constrains the token budget that the model have. There's like lots of things, you know, that will very quickly go beyond my technical competence. But just as a user experience, it's really quite different. So if I used Claude just through the normal app, I would get different results to if I used Claude through like a Venice AI. Yes. Interesting, I didn't actually. Now, probably less directly different Venice AI than if you use a like vertical specific AI tool that is meant for, you know, legal AI or accounting AI or whatever AI, right?

59:24or cursor, right?

59:27Zack Shapiro:Like, you use the models through that. Like, that's different than using the models directly. It's the same model that has the same weights, but the performance is very different because of the harness. And so, like, the Cloud Code harness is like a really good harness. It's what they use for Cloud Code and Cloud Cowork. Microsoft is now actually using that for some of its products in Copilot because it's a better harness. But that is a big part of the equation. So, is the differential in the model big enough to justify the markup in tokens? Is the harness good enough to justify the markup? I suspect the answer is going to depend on both the user and the use case.

59:59Zack Shapiro:So back to our AI diffusing into the economy, different tokens are worth very different amounts to different users. If you're using ChatGPT as a better version of Google, how much is a token worth to you? Not that much. You can use Google. And how much would you be willing to pay to use ChatGPT instead? Not that much. in my law practice where i am replacing expensive human labor with ai to be much more productive and charge premiums to my clients how much is a token worth to me a lot the difference between the really good ai you know fable five and you know kimmy it's a big difference like i'm almost price insensitive entirely to that difference like yeah it would have to be like you know don't tell I would pay 10x what I paid for AI.

1:00:46Zack Shapiro:Like if it was that or go at AI. So, but once that gets to scale, like, okay, like you don't need Fable 5 for everything. And so I think you will both see discrimination between users. There's some users for whom AI will drive enough productivity that it's worth it to pay the markup. And then there will be some tasks that require the absolute tip of the spear frontier. And then you can delegate the other tasks to smaller models or non, you know, open source models. And so companies will get more sophisticated, discriminating there. And then at the end of the day, like, is there enough of a niche to have the Frontier Labs be an amazing business where they're selling the tokens at a huge premium?

1:01:24Zack Shapiro:I suspect, yes, it won't be. They won't be the only game in town. There will be much more competition from open source. But I think there will, as long as they maintain a real frontier in terms of the model and or the harness, some combination of those two things, like that will command a premium. Okay, I've got a few things I want to ask you that are totally different. but before we leave the AI subject, is there anything else that we've not talked about that you think is really relevant right now? I think we've hit a lot of things. I'm both excited and terrified about it. I think that's the right orientation.

1:01:52Yeah, but I definitely lean with you that I'm more positive than not, but you can see some doomed scenarios. Scary. Okay, bearing in mind, this probably won't come out for about two weeks, so this might age like milk. Can we talk a little bit about clarity? Sure. Is it doomed? Doomed is probably strong. Okay. So, but from, from what I understand, it basically has to pass very, very quickly now, or it's probably not going. That is true. Okay. And so everyone goes essentially on holiday over the summer and that's coming up in the next couple of weeks. Yeah. I think it's pretty much an hour and everything.

1:02:26Okay. And, and so what, like, what odds would you put on it passing?

1:02:34Zack Shapiro:35%. Okay. So it's not out of the question. It's not out of the question. And is the, Is this still very good for Bitcoin? Is it still, like, we've not lost anything in there that we needed? It's not that we haven't lost anything, but what is in there now, like, there's only one thing in the bill that really, I mean, you can say, all right, like, the narrative, is that bullish for Bitcoin? Probably yes, but that's a short-term sugar high. That doesn't matter. The thing that matters for Bitcoin is the Blockchain Regulatory Certainty Act, which is the developer protections for people building non-custodial tech.

1:02:59Zack Shapiro:This is the save our wallet stuff. This is the save our wallet stuff. And the most recent version of this, to which I was able to add, I think, one word, is still in good enough shape that I think that we would feel good if this passed. Okay. And so what has to happen now? What do you think will happen next? The question is, can the Democrats and Republicans reach a compromise that allows a sufficient number of Democrats to vote for this to get through the supermajority in the Senate? And how far off that are we? How big is that divide? It changes all the time. It's really more about, I think, the shape of the compromise.

1:03:40Zack Shapiro:So the two sort of main open issues, one of them actually is the BRCA, but I am relatively optimistic that we're in a good place with that. I mean, I could be wrong. There may be a fight about that. The thing that is most likely to doom this legislation is the question of so-called ethics. and like the problem is there is a strong political incentive for democrats to block the bill to say listen listen we're totally in favor of crypto regulation that totally makes sense we don't want a wild west but obviously as a prerequisite for this bill passing we can't have the president of the united states doing a meme coin and you know uh passing you know stable coin money to the the saudis uh in exchange for business deals and um the republicans aren't to vote for that because it's a sign of disloyalty to Trump.

1:04:31And that's a hard stalemate. If Trump had never done the Trump and Melania coin, do you think this would have already passed?

1:04:39Zack Shapiro:I think there are a couple of other things that are in that camp. But yeah, I think if the Trump family had been less directly involved in crypto writ large, that probably would have meaningfully changed the politics on this. Because the scary thing from my perspective, I don't care about all the crypto stuff in there but like the bitcoin stuff the save our wallet stuff i want to pass and the main reason being if democrats win the next election like i'm i'm terrified that basically that witch hunt for bitcoin developers comes back yep me too and and at the moment i think it's probably most likely they win the next election is that right well there's the midterms um and i it's looking very good for the democrats in the midterms and like we're gonna get a sense of how that looks even before so i mean there's like the legislature and then there's the executive branch right the actual sort of witch hunt against developers would have to come from the executive branch so it would mean the democrats would have to win the white house in 2028 right before that would come back yeah um right now the doj is i think looking to be helpful to developers not harmful and that is a protection until 2028 um what i think we will see if the democrats win the midterms is congressional investigations into all sorts of crypto and bitcoin companies yeah and and some of that's gonna be a tough look uh you know and and like especially once you get outside side of Bitcoin into crypto land, like there's a lot of misbehavior and misallocation of capital and stuff that's going to make us look bad, just like FTX did.

1:06:01And that's gonna be hard.

1:06:03Zack Shapiro:And then if there's that momentum, like, and the Democrats win in 2028, that's where I worry about like, okay, federal prosecutions of developers. That we're two steps away from that. Yeah. And so having this pass now would be amazing. If it doesn't pass before the midterms, is that probably very unlikely after that? I think so. Yes. Now or never. Now or never. So is this what BPI is still working on the most? It is. And we're talking to folks on the Hill about sort of what we think acceptable forms of the BRCA look like, right? Like what is the Hill we want to die on? Because like without the BRCA or with a sufficiently watered down BRCA, this goes from being a very important must-pass bill for Bitcoin to like net negative, right?

1:06:43Zack Shapiro:Like most of this stuff is about non-Bitcoin crypto. Other than the BRCA, really the only stuff that touches Bitcoin is giving the CFTC additional authority over spot Bitcoin markets that I don't think we want. The CFTC, which is the commodities regulator in the United States, they currently regulate commodity futures market if you're selling corn or oil futures or whatever. They don't regulate spot markets. If I'm going to sell you a couple years of corn, the CFTC doesn't get involved in that transaction because it's a spot commodity. That's what it is with Bitcoin and crypto that are commodities now.

1:07:16Zack Shapiro:That would change in the Clarity Act. And so if the BRCA is not the protection that we want, we actually don't want this bill to pass. And so mostly what we're involved in is like strongly advocating specifically for here is the shape of the BRCA we need for the, like, we think this to be useful for the Bitcoin community. But the truth is like the politics of this are what they are. Like we're doing our very best, especially our head of government, Ken Egan. I don't know if you've had him on the show. I've not had him on the show, but I know Ken. Ken's also. Yeah, he's great. You know, a lot of the sort of difficult politics around the BRCA comes from an unfortunate statement from law enforcement organizations that I don't think they really understood what they were saying.

1:07:53Zack Shapiro:They were pushed into this by politically motivated groups. And Ken has done the Lord's work with his background in the government and his credibility that comes with that, being like, no, no, no, guys, here's what this is. You can absolutely do national security stuff. You can absolutely still do law enforcement without throwing developers under the bus. And I think that's been super helpful. But the trickiest politics of this are around the ethics issue. And the truth is at BPI, there's not much we can do about that. That's going to play out how it plays out. And so once this is done either way, what are the other things that you guys are working on?

1:08:29I know obviously you're moving into the AI space more, but like within Bitcoin specifically, what are the next challenges?

1:08:33Zack Shapiro:So other than AI, one of the big pivots that BPI has made intentionally somewhat quietly over the past few months is like there is a lot of energy in DC around crypto legislation. And like, that is definitely something we are still interested in. Another bill that like, we're very supportive of and had a big sort of hand in is, is ARMA, the, which is like a American Reserve Modernization Act is the sort of next version of the sort of Overton window shifting strategic reserve bill. And like, that's great and important. That like, deepest, sort of most consequential work we're doing is not public.

1:09:14Zack Shapiro:It is we have realized actually one of the trends that we see in American government, um, is more and more and more power concentrated, not in Congress, which passes very few laws and is sort of like abdicate a lot of their sort of power and authority, but in the executive branch, right. Uh, all the way from the white house at the top to, uh, you know, the intelligence community, the, uh, defense community, all of the agencies, these are the people who like make and enforce a lot of the rules and shape American domestic and foreign policy in a much more robust way. And so we've been spending a lot of time there.

1:09:49Zack Shapiro:You're infiltrating the deep state. Yeah. Yeah. Interesting. And so the reason for that is because they're people that aren't just in government for like a few years. They're there for the long term. They're there for the long term. You know, when we work with sort of the sort of higher up political appointees, we found that a lot of what blocks some of the actions that we're most interested in is like, the rank and file who like don't understand this and have the same you know it's like the fast clock slow clock thing with ai there's the same thing with policy um the sort of career bureaucrats have their way of doing things and so we're like okay like let's just go meet the career bureaucrats and like you know we're not selling them anything in particular we're not we're not lobbying for a bill we're just like let's talk about bitcoin why bitcoin's good for america how this all works and like, we actually think we're all aligned here.

1:10:42Zack Shapiro:And that's cool. So it's a different tact, but one that might be even more impactful. So far, yeah, I would say like wildly more successful than we thought it would be. Very cool. Zach, this has been awesome. I just want to quickly ask you about the strategic reserve. You mentioned it a little bit there. Is that ever going to happen? In the fullness of time, I think it will happen. But it would have to happen under Trump, right? No, I don't think so. I mean, maybe Trump will buy. I guess a couple questions. Number one is, what do you mean by the strategic reserve? My line on this is, there is a strategic reserve.

1:11:16Zack Shapiro:There was an executive order. I actually think we should somewhat declare victory on that. Take a win. Yeah. That's an insane thing we would never have been able to imagine three years ago. 100%. The President of the United States did an executive order, calling a strategic Bitcoin reserve and separating it from the rest of crypto. That's a win. pretty fucking um what people mean by reserve is is the government going to spend its money to buy bitcoin that may or may not happen in the trump administration like that's a function of politics i think the problem even if that were to happen is like would that be the signal to the market that everyone's looking for i think truthfully not just because of how polarized our politics are right now and it's trump and it means something different when trump does something the strategic reserve that we all want is like doing it the right way which is the united states government as a whole, not the White House understanding Bitcoin better than everyone else.

1:12:03Zack Shapiro:It's it's the government as a whole realizing, oh, this actually is what is necessarily in our strategic national interest and then like fulsomely doing it. And that is a long grinding path now that like time is on our side because all of the like fiscal tsunami stuff coming like that's all real. And we are moving from a unipolar to multipolar sort of world reserve currency and all of that stuff is happening and will become more apparent to more people over time. And like time is on our side in that way, putting the politics to the side. But that is a Overton window shifting exercise. So like if you want to look at like how is BPI looking at this?

1:12:43Zack Shapiro:There was the Bitcoin Act, right, in large part written by our now managing director, Connor Brown, when he was with Senator Lummis. That is like that got the idea out there, put the idea on the table that there is such thing as strategic pickers are that you saw in the media all the time. Like that's a term people know. So it made huge waves again, move the Overton window, but that people thought it was crazy, but that bill is not happening. Yeah, it's not. Uh, and probably ever, um, who knows if I should say that in public, but like, come on, that was an Overton window moving bill. Then there was the like executive order, which was a real thing, right?

1:13:16Zack Shapiro:Like that was the fruits of moving the Overton. Um, but it's got to like most people, when they hear strategic Bitcoin reserve, they either think this is fucking stupid like what are you talking about we're doing a crypto reserve or they think it's some sort of corrupt trump thing and so like we need to move from there so arma is the current bill which is like let's also look at our gold reserves and let's look at what other like assets the united states have and let's like talk seriously about what does it mean to have national reserves in the 21st century and what role does bitcoin play and so it's so we're moving the overton window towards like hey we need to have a real conversation about the national balance sheet and maybe this thing which is like gold for the 21st century makes sense as part of it.

1:13:53Zack Shapiro:And then eventually we'll get there. But it's going to have to be not because of politics. It's going to be like the slow grinding policy work where our, you know, like orange peeling the deep state and being in the executive branch, like is part of that mission to get people to think about this seriously and not just politically. I love it, man. This has been cool. It feels like we're just in a embrace the chaos. Yeah, yeah. But it's going to be exciting. I think so. Zach, I appreciate you, man. Thanks for having me. That was awesome.

1:14:29you

From the publisher

“The people who are truly productive are going to be on a rocket ship.”

AI is about to split society in two: those who learn to command it and those whose value it destroys.

Zack Shapiro, Head of Policy at the Bitcoin Policy Institute, explains why AI could dismantle the traditional white-collar career ladder while creating millions of millionaires. He argues that judgment, agency and decisive thinking will become exponentially more valuable, while simply working hard may no longer be enough.

We discuss why most people are using AI incorrectly, how it could transform law and business, whether mass unemployment and universal basic income are coming, and why Zack believes there is a 15% chance AI could wipe out humanity.

We also explore the battle between technological abundance and authoritarian control, why autonomous AI agents may naturally choose Bitcoin, the future of the CLARITY Act, protections for Bitcoin developers, and whether America will ever meaningfully build a Strategic Bitcoin Reserve.

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