145. Hoffman: Europe Is Regulating Itself Out Of The AI Race

10 Mar 2025 · 54 min

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Podcast Summary: The Rest Is Money - Episode 145: "Hoffman: Europe Is Regulating Itself Out Of The AI Race"

Hosts

  • Robert Peston
  • Steph McGovern

Guest

  • Reid Hoffman: Co-founder of LinkedIn, early investor in tech companies like Facebook and OpenAI, and author of the book Super Agency.

Episode Overview In this episode, Robert and Steph engage with Reid Hoffman to explore the intersection of innovation and regulation, particularly in AI. They discuss the implications of governments running like businesses, the role of AI in addressing global challenges, and the potential risks of regulatory frameworks, especially in Europe.

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Key Topics Discussed

  1. Government Efficiency vs. Innovation
  2. Reid highlights the risks of treating government like a business. He critiques Elon Musk's approach to government reform, suggesting it's fundamentally flawed to apply business principles directly to governance.
  3. He emphasizes that while efficiency is crucial, it must not come at the cost of essential services and governance integrity.
  1. AI's Potential
  2. Reid discusses AI's transformative power, calling it a "cognitive industrial revolution."
  3. He advocates for the idea of "super agency," where AI empowers individuals, allowing them to access information and skills more effectively.
  1. Challenges for Europe
  2. The discussion shifts to the regulatory landscape in Europe, where there is a fear that stringent regulations could stifle innovation and prevent Europe from competing in the AI race.
  3. Reid warns that by imposing heavy regulations, Europe risks ceding tech leadership to the US and China.
  1. The Role of Government in Transition
  2. Reid suggests that the government should focus on facilitating the transition to AI-enhanced industries while providing support for reskilling workers.
  3. He highlights the importance of creating frameworks that can help workers adapt to technological changes.
  1. Economic Inequality and Wealth Concentration
  2. The conversation touches on the risks of increasing inequality as AI and technology grow. Reid argues that while some wealth concentration is inevitable, the focus should be on elevating the bottom quartile of society rather than solely addressing disparities at the top.
  1. AI and Environmental Sustainability
  2. Reid discusses the dual role of AI in addressing climate change while also being energy-intensive.
  3. He points out the potential for AI to improve energy efficiencies, stating that data centers can be powered by renewable energy sources.
  1. Geoengineering and Climate Solutions
  2. Reid suggests that geoengineering experiments may be necessary to combat climate change, advocating for controlled, small-scale testing.
  1. Collaboration Between Tech and Government
  2. Reid encourages greater collaboration between governments and tech companies to create a supportive environment for innovation.
  3. He believes that proactive engagement from leaders can help align tech advancements with societal benefits.

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Key Takeaways

  • Risks in Governance: Treating government as a business can lead to detrimental outcomes; a balance must be struck between efficiency and essential services.
  • AI's Role: AI has the potential to elevate humanity but requires responsible governance to maximize benefits and minimize risks.
  • Need for Regulatory Frameworks: While regulation is necessary, it should not be overly restrictive to avoid stifling innovation, especially in Europe.
  • Focus on Reskilling: Governments need to prioritize education and training to help workers adapt to AI-driven job changes.
  • Environmental Responsibility: AI can play a crucial role in tackling climate change, but must be managed sustainably.

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Conclusion Reid Hoffman offers a compelling perspective on the future of AI and its interplay with governance and society. The episode underscores the need for thoughtful regulation and collaboration between the tech industry and policymakers to harness the full potential of AI while addressing the accompanying challenges.

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Transcript

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1:14Hello and welcome to The Rest is Money with me, Steph McGovern. And with me, Robert Peston. So we have got a brilliant guest for you today, Reid Hoffman, co-founder of LinkedIn. He is one of the giants in the tech world who was part of, you know, early investor in companies like Facebook, OpenAI, Airbnb, also part of what's known as the PayPal mafia. This is this group of people who started PayPal and then have gone on to found some of the biggest tech companies that we love talking about on this show. Or, you know, we're talking in this gang is Elon Musk, Sam Altman, Peter Thiel as well. They're the kind of mega giants of industry, of the world at the moment.

1:56The superpowers, aren't they? They seem to be running everything. So he's a hell of a person to speak to. He's got a book out, Super Agency, which is all about trying to explain the positives of AI and what we can learn from it, how it's going to change the world, which is kind of right up our street as well. Yeah, that's right. Right. And, you know, as somebody in his early years work closely with Musk, obviously his take on what Elon Musk is doing to reengineer in this brutal way the entire American government, that's going to be fascinating to talk to him about. But then there is just this central question as Europe is forced to re-evaluate everything from defence to, you know, how it generates prosperity because of the way that Trump has effectively distanced America from Europe.

2:50This issue of how Europe engages with the AI industrial revolution is more important than ever. So this feels like a pretty important conversation. Yeah, certainly does. Here's our interview with Reid Hoffman. Reid, thank you so much for joining us. We have got so much to talk to you about. Obviously, we want to talk to you about AI, your book and everything else. Before we get into that, we've talked a lot on this podcast. Everyone's talking at the moment about what's happening in the US. I mean, it's scaring the life out of everyone. What's your take on it? Well, unfortunately, I think fear and concern and anxiety are very good rational responses.

3:35I mean, obviously, for example, the situation in Ukraine where Russia as an aggressor invaded Ukraine and has had a, to borrow a term from the crypto industry, a rug pull on it. And it's not only concerning, obviously, for the many thousands of Ukrainians who have lost their lives in this invasion, but also for Europe. You've got concerns around approaching a government efficiency, which is a really good thing. but doing it in a way that you're incompetently firing nuclear inspectors and Ebola folks and all the rest as part of doing this. And that's all deeply, deeply concerning. And so fear, unfortunately, here is a rational response.

4:19Can I just ask you, Reed, as somebody who has known Elon Musk pretty much your entire career, are you surprised by the extraordinary risks he's taking in the way that he is overseeing the reconstruction of the American government? Unfortunately, no. I mean, part of the thing that makes Elon a spectacular entrepreneur is he's willing to take risks of blowing the whole thing up, which when you're doing a company, it's one of the many reasons why company governance and government governance are not the same thing. When you're doing a company and blowing the company up, most of the time, that's okay.

4:56Society gets along just fine with any company, particularly big banks and a few others, but any big company blowing up, that's fine. The government blowing up is obviously a disaster. It's something that's akin to the kinds of collapse you have during the French Revolution or anything else, a number of different things. And so that's part of the reason why approaching the government like you manage a company is unwise in the extreme. That's before you get to questions of lawfulness, cruelty and other things. But I'm not surprised that he basically, you know, that he thinks, hey, I've done this successfully with some really amazing companies.

5:35So it'll work here. So why not? Where do you think it'll end, though? Do you think Musk and Trump are going to get along in all of this as this happens? Or do you think there's going to be a spectacular fallout there? Well, I think that this is actually, in fact, from a Trump perspective, it's great because Elon will go apply a wrecking ball. If it works, then Trump will claim credit. And if it doesn't work, he'll fire Elon. But firing Elon, surely that's not going to play well for him. Well, I mean, there's different kinds of firing, right? I mean, there's a, oh, you're not working on Doge anymore.

6:04You're working on our space program. As a sideways move. Because just to be clear, one of the things that we've talked a little bit about is Elon Musk's potential if he turns on Trump to do Trump harm is pretty spectacular, isn't it? Yeah, I think that, you know, the likelihood that Elon turns on Trump is quite low. Among the positive attributes of man is, you know, he's very dedicated to his particular missions, you know, getting people onto Mars. You know, I don't think it will be useful for those missions for him to turn on Trump. So I think that's actually, in fact, unlikely. I just want to ask on the sort of more fundamental point, you are criticizing Musk for the brutal way in which he is applying his business techniques to government, essentially closing something down to see if everybody can get along without it.

7:08You know, we've seen with the demolition of USAID already the harm that that's doing to vulnerable people in Africa, for example. But do you agree with Trump and Musk that the U.S. administration, the official side of the government is bloated and does need reform? Well, I think every American business person, including myself, agrees that one of the problems with governments everywhere, but especially the U.S. one, is that by not having the things we have in business, which is, you know, kind of pressures that cause us to have cost accountability. So we're always looking for how do we save money?

7:48You know, of course it's bloated. And I think that, but the question is, it'd be very easy. For example, a simple thing that if you were less cruel and more actually focused on the mission, you say, hey, we're going to take the first two months and we're going to ask memos for everyone as opposed to turning everything off. It's write me a justification. Of course, it's more work and you may miss some things because the justification sounds good even though there's inefficiency. But then you don't do things like fire people who are trying to prevent Ebola from spreading or fire people who are dealing with nuclear safety.

8:24Or, you know, for example, in the USAID case, the death toll is certainly going to be in the thousands, might be already, and may even get to the millions. And, you know, you didn't need to do that. You did that because you weren't willing to do the work for two to three months to actually sort it out before just turning off all the payments. It's interesting, your analysis of this in the sense of, you know, you can't just go in and treat a government, a public service sector like you can a company. Because there's loads of people who say that's what we need to do here. Like we need to run, for example, maybe the NHS.

8:57We need to run it as if it's a company rather than it's a public sector service. So can you just explain a little bit more about why? Because there'd be loads of people who think we need that. Well, there's definitely things. So corporations, companies are the best organizational form that we have found so far in the history of humanity for taking structured and scaling risks and working efficiently in that way. They're the most efficient organizations that we have thus find. So I'm very bullish on them and I invest them, create them, et cetera, a lot. And I think we should learn from them when we get to other sectors, whether it's government, healthcare systems, universities, a bunch of things.

9:39I think there's things to learn from them. The mistake is thinking they're the same. Yeah. And the one that I already kind of illustrated is, look, if a company goes boom and blows up and suddenly is basically just a smoking crater, it's a tragedy. Some people lost their jobs. Maybe there was parts of the ecosystem that were dependent on it. But it's very easily recoverable. If a government blows up, that's a terror for all of society. And it's one of the reasons why the governance and risk is different. And by the way, you then get some inefficiency because of that. People don't realize that you're buying the price, the insurance that you're paying on continued stability is some inefficiency.

10:21So you have to accept inefficiency. You have to accept some inefficiency. It's actually the nature of the beast and you're better off for it. It's like buying insurance. Yeah. It's like, oh, I'm going to do my company. I'm going to have my house, but I'm not going to buy insurance. It's like, whoa, if you don't have insurance on your house and it goes boom, that's a problem. Yeah, yeah. Can I just ask, Reid, as somebody who described Musk just now as probably one of the great entrepreneurs of all time, as I say, you have known him for decades. Why doesn't he get this? It's because to him, this is his hammer and everything looks like a nail.

11:01And, you know, he doesn't particularly consult with people. He doesn't particularly seek other expert advice. You know, he thinks that on almost everything he knows better than everyone else. you know I've I'm since these were private conversations I'm not going to talk out of school but I have heard a number of assertions where he goes I think x is true actually I'll do the one that's funny Elon once said when we were at a dinner everyone's smart I know knows we're living in a simulation right you know and and I was like um well what am I smart and he's like yes I'm like well then your statement's not true yeah yeah and then he what doesn't accept that yeah it's interesting because ai is your big thing as well isn't it and you know we've been talking about how ai could be the thing that revolutionizes everything for us but i keep saying about it being the next industrial revolution and you talk about it giving us superpowers if we harness it properly we can use that to change for good so do you think the politics aside that it's going to be ai that gets us through all this these troubles anyway and that gets us back on track?

12:06Politics can ruin everything, no matter what the technological solution. So I think one can never fully come out of how we govern ourselves, both as countries and as global orders, which I think the global order is also very important. But on the other hand, I think when you say, what's the things that we can do to make the best possible great things to elevate humanity over the next few decades? I, of course, think technology is that. And AI, it's one of the reasons why I wrote Super Agency. It's one of the reasons why I do the Possible podcast. This technology is probably the most significant technology that we have created thus far.

12:47Now, it builds upon it. You say, well, is it more significant than fire? Is it more significant than agriculture? Well, we wouldn't have gotten to AI if we hadn't done those. But it's incredibly significant because if you think about we can add intelligence and and intelligent assistance to everything that we do in the world. So for example, it's kind of a classic critique of AI is like, well, it's going to negatively affect climate change because we're going to have, be running these large data centers with a whole bunch of electricity. Well, if we're actually running these large data centers with a whole bunch of electricity on that, among the things we're going to be doing is saying how to figure out how to run the grid better.

13:25We actually already have proof points about how AI applied to electrical efficiency can, within the Google data center, really maximize DeepMind figured out how to do 15 to 35 % electricity savings there. So intelligence to everything helps everywhere. Yeah. And that's why it's so huge. And you call it, and essentially, if you harness this correctly, you can have a new state of super agency. What does that mean? So part of the reason that I chose super agency as a term is to say, you as a human being, is an individual human being are going to get superpowers with this. It already does. You could use it today for superpowers of things that most human beings just wouldn't necessarily know how to do.

14:06I mean, for example, here's a use case that most people don't do. Take a picture of something and just upload it to your favorite capable agent, whether it's chat GPT or anything else. The AI will figure out why you've uploaded a picture and then start answering what your thing is. Like you're looking at a microwave going, I don't know how to use this microwave. Take a picture goes oh you're going to try to use this microwave what are you trying to make and i'll tell you what buttons to push and what to do that's adding intelligence to everything and that's obviously a micro example which gets much more and more serious medical other kinds of things i've done it with a plant actually a plant and how did it work yeah it was really good because i've got a lemon tree that's dying and so i uploaded a picture to chat tbt and it told me that i needed to put coffee granules in it to bring it back to life and it totally worked Oh, yeah, there you go.

14:51Anyway, but that's literally the thing is you won't realize is you can add intelligence to everything. Yeah. And that's amazing. And including, for example, in a bunch of areas where people are critical of it. It's like climate change. No, no, this is going to help, you know, efficiency. And by the way, maybe in its most extreme cases, maybe it'll even help us with like getting better at inventing fusion, which is why technology is so important. Fusion plus geoengineering is the climate change solution. Anytime that we're not spending energy on that, we're actually not getting closer to climate change solution.

15:25I think both Steph and I share your optimism about the potential of AI to increase our living standards, increase the quality of our life if adopted and rolled out in the right kind of way. But there are also economic risks, as we've seen in other industrial revolutions. When you increase productivity in the way that AI does, some of that will translate relatively rapidly into higher living standards for those individuals. But some of it may lead to people losing their jobs. How do you see the role of government in a sense in maximizing welfare, in maximizing the benefits for people? So, and by the way, that just reminded me, I didn't fully answer the earlier question, but part of super agency is not just superpowers for individuals, but once a large number of people get the same superpowers at all at the same time, then we get superpowers as a society and it's part of super agency.

16:31And so, for example, as a car parallel, car helps, you know, I get a car and helps me be mobile and commute to work, you know, possibly live outside the city, et cetera. But then when my doctor gets a car and my kid is ill, the doctor can come to a home visit. And that's part of the super agency side. Now, for the government question, I think the industrial revolution is an extremely good parallel for what's happening with AI. I call it the cognitive industrial revolution. And I think that it's both from the amazing upside. We don't have anything of our current society. We don't have the middle class the way we have it.

17:05We don't have higher qualities of life, et cetera, without having gone through the Industrial Revolution. But the transition period was obviously very, very difficult. And I don't think there's any way to make this transition period like not also painful. I think the question is, is how do we learn both from the previous transition like industrial revolution or electricity or anything else? And how do we make this more human, more graceful, not zero pain? So not zero pain, Reid. And if you look back to the original industrial revolution, we had this long period of stagnating wages for hundreds and hundreds of thousands of people.

17:43what will be the pain that we are going to experience over the next few years? And then what would that mean, for example, to redesigning welfare systems, redesigning education systems? So look, I think the pain is going to be you add intelligent co-pilots to everything. That basically changes the vast majority of jobs. Some jobs will even actually just kind of go away. Like, for example, I think any job that we have, human beings trying to act like robots. So, for example, if you look at customer service jobs, customer service jobs are like I'm following a script on the computer. It's like, well, an AI can do that better.

18:20And so that's an instance of a job that will go away in 90%, 95 % as an instance. Other jobs will transition. Let's take, for example, graphic design and illustration. We already know that we have a variety of these tools. I don't think that means graphic designers will go away, but it's supposed to like, hey, I give a brief to somebody and I say, oh, I'll go away for two weeks and I'll come back and I'll show it to you. I think it'll be the I call you with a brief. And then two hours later, you're showing me a bunch of different options and saying, which ones of these do you want me to go through?

18:55And four hours from now or six hours from now, you might be done with that particular job. And so the nature of the work changes. And if you say, I'm a graphic designer, but I don't know how to use AI tools, then you will be under tooled. It'll be a little bit like saying, I'm a graphic designer. I don't know how to use Figma or Adobe. I have a friend who is a graphic designer who last week was made redundant without any kind of training in AI or anything. They've just kind of said AI has replaced you and he's lost his job. And it's really interesting because he now genuinely doesn't know what to do.

19:25And so I see you totally see a point of everyone's got to be, if you want to be part of this, you've got to understand AI and you've got to use it in your job as much as you can. But there is also the sense of companies just going, sorry, it has replaced you, goodbye. And by the way, companies will naturally start that way. Companies drive their efficiencies is how do they reduce cost? And so they'll go, oh, I can reduce the cost here. I'm going to do that. That's a natural thing. It's part of the efficiency and productivity that companies operate on. There's an individual prescription and there's government prescription.

19:56Individual prescription, you know, he or she should start learning AI tools. They're freely available, you know, here in the UK. And then say, hey, I now have an edge because a lot of people haven't started using those tools yet for it. I now know those tools. And by the way, AI is really good at teaching. One of the things I use AI for all the time is teaching me things so I can be learning things. Like what? What's it taught you recently? Well, recently, I would say that because I was talking to a friend of mine about water pollutants and what to do about it, we used deep research to get a whole report on it.

20:32This stunned my friend about how good the research was carefully. We kind of looked at it. It's like, what are the places that AI is going to need to improve to even do this better? But basically took the report away to be the baseline of the report that they were going to produce for the French government. Right. That was like an instance of a personal thing. But by the way, yours was saving lemon trees with coffee grinds. I mean, like now you know this and you've learned it. So it is learning across the entire thing. And by the way, if you say, hey, I need to be acting more like a tutor, you can put the prompt in.

21:02Don't just give me the answer. Lead me to the answer on this. And if you put that prompt in with what you're doing, then it will start doing that. But should the onus be on the person to do that rather than there be help? Because there's lots of people who wouldn't even know where to start with AI. There's a communication issue around it, the education element to it. I think the answer is all. I think part of the reason I start with, hey, you as an individual can be self-empowered. I mean, literally, if you go to ChatGPT now and say, I want to learn this, help me learn this, it will go great. It won't just try to give you the answer.

21:32It'll try to help you learn it because it's helpful that way. Now, does that mean that that's all we should do? No, I actually think it would be good for companies to be saying, hey, look, how do we engage with our employees to help them learn this new thing? I think that there should be programs there. I'm sure there are startups trying to offer educational reskilling to companies, you know, kind of saying, hey, here's something you could do for new skill training around with AI. And just to get to the government point, this is the kind of thing that government should be thinking about. It's like, OK, how do we make sure AI isn't just the transformation challenge and the huge productivity increase, but it can also help us with the transition?

22:12So like, how do we make sure that there are AIs that are, your friend has made redundant that says, hey, we have this AI assistant to help you figure out what jobs you can possibly do, how to learn the new skills of the job and actually how to do those jobs. And I actually am strongly of the belief that, for example, something that are skilled like graphic design, what happens with AI is the fact is you say, hey, I was really good with my physical dexterity, my hands, you know, that becomes less relevant. But the visual imagination, the thing about how to do that, that's still, if anything, that's too X relevant.

22:47And so it's like, oh, I still have that really unique skill. I'm going to be applying that to graphic design and people are going to be using me for that. Yeah, because people don't understand quite often that their skills are transferable. They're just kind of siloed into one particular industry, aren't they? As an optimist about this, you believe that rapid diffusion, rapid adoption will give a particular economy an advantage. but if you just look at the history of digital over the last 20 odd years, one of the characteristics of these digital networks is it is winner takes all and we have seen the most extraordinary fortunes accruing to a small number of people.

23:37We talked earlier on about Elon Musk, richest person in the world, definitely a beneficiary of the way the earlier stage of this industrial revolution has generated just super normal profits for small numbers of people. Are we going to see in this industrial revolution a worsening of that kind of inequality, much more power accumulating not just to billionaires, but multi, multi, multi billionaires. I do think that inequality grows as the equivalent of network density grows. It actually grows also with, you know, when you have global trade routes and you have kind of globalization because you can now have a product that can ship everywhere in the world.

24:24And of course, that's even more with digital because with digital, if I have the thing that is five or 10 % better that I'm offering through the internet through mobile, then much higher percentage of people will adopt it because it's kind of like if people need an illustration, it's one of the reasons why Amazon and Walmart, when they spread into places, it creates problems for small businesses because they can use their scale of offering these products. And then the small business doesn't have the ability to compete on that 10 % margin of price or price to quality and that kind of thing. And so, I mean, they have a location, which they try to hold on to as a function, but that's a general challenge.

25:05And the digital is the most extreme. Now, I don't tend to deeply focus on reducing inequality because, you know, like, for example, people say, well, the CEO should not make more than 20 times what the lowest person is paid. I don't have any magic numbers like that. What I try to do is I try to make sure that kind of the bottom quartile of people and up are all elevated and given economic opportunity made to have better lives and so forth. Then the gap between the bottom quartile and the top quartile or the bottom quartile and the top 10%, I'm not as focused on that that must be shrunk unless there's particular things like issues around how society may work.

25:44What I'm focused on is how do you get everything elevated. Obviously, we all want to see the vast majority of people better off. And I think if AI can do that, that's great. But if you look at the extraordinary power that accrues to a Musk with his enormous fortune, if you look at the way that the Washington Post has become a sort of plaything of Jeff Bezos, you know, basically ordering the opinion bit of the paper to adopt a completely different set of values from the Washington Post's traditional values. Doesn't that degree of personal power that stems from super wealth, doesn't that worry you?

26:28Well, look, part of, I think, the thing we do in human society, human society, there is power, and there are people with a lot of power. And what I try to orchestrate is that you have multiple powers that are held in balance with each other is a company parallel. If you have one company that's a monopoly, it's a serious problem. If you have 10 companies that are competing with each other, they're held in balance. And that's the kind of thing that I try to look to do. Now, is there examples where power is misused, including power by wealthy business individuals? Yes. But it's also the case where, you know, like, for example, I think the power of celebrity is misused.

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27:10I mean, so, for example, because of The Apprentice, a lot of Americans feel that Donald Trump is a genius business person. And actually, in fact, he's a person who lost tons of money running a casino. Casinos are actually the easiest business to run in the world, the kind of pure money guaranteed. If you're losing money running a casino, you're not really sure you know how to run any other business. And that's a celebrity power thing that ended up elevating Trump into the presidency. And so, look, do I think that there's misfires that happen because of power? Yes. But now, on the other side, let's take Bill Gates, who, you know, made a tremendous amount of money and actually, in fact, is I think one of the forces for eradicating key diseases and elevating education and helping keep millions of people alive in Africa and so forth.

28:00And so it's a question of like, what's the balance of it? And I don't kind of subscribe to because you have one, you know, individual who is mishandling their power that then we should make sure all individuals never get that kind of power. I think at this point we should have a quick break, but loads more to talk to you about rates to sit tight for a couple of minutes.

28:24it's interesting because you know you're part of this group that has been termed as like the papal mafia which in its sense suggests it is like a closed club of you know you guys in silicon valley you were all you know changing the world but the rest of us are you know have no chance of doing that how do you feel even about that the fact you know you're in this so-called mafia Not just even on this podcast, but for the last, you know, 20 years, I always object to the term mafia because it implies criminal. That's the very reason. I say PayPal network. Yeah. Right. Now, I understand that it gives a little bit more sizzle.

29:01And, you know, I participated in the picture where we all dressed up as Italian mafiosos and in a restaurant, you know, because it was entertaining. It's kind of like I think the British is, you know, take the piss. And so, you know, I think, look, we in all human society for all time, we have like some people who are super powerful and we have a lot of other people who are not super powerful. I think the important thing to do is try to align the thing where you earn that power and you're not just given it and you earn that power by providing things that are very good for society. That's what we're trying to build our society around because it has a kind of a virtuous cycle and it doesn't mean that it always works.

29:43I mean, I don't even think now is necessarily the time where we've had the most power in industry. Like if I look back in American history, I think the so-called robber barons, you know, with like the banks and the railroads and all the rest actually had a lot more power relative to society and everything else then than now. So, I think it goes up and down and varies. And people say, hey, like, this is the worst ever. And you're like, well, probably you're not a good student of history. It's like, for example, people say in America, like I talk to people, this is the worst period in American history.

30:11It's like, no, I'm pretty sure the Civil War was worse, right? Just as one instance. And, you know, if you if you want to have a conversation about this. And so I think that there is inequality and I think there's particular kinds of inequality that you really want to steer against. But what you're really trying to do is make sure that the system by which people either make money or get power and else feeds back into a society making progress and the general elevation of everybody in society. And that's what I really focus on for that reason. Can I just ask, therefore, in terms of reaping the maximum benefits from artificial intelligence, I think, Steph, you and I all agree that rapid adoption in the UK by businesses, by the public sector of AI could make a significant positive contribution to productivity.

31:07We've had zero productivity growth for about 15 years in this country. It's really important. We get output per person up, output per hour worked up. AI has that potential. But one of the really absolutely dramatic differences between, let's say, the UK and the US and China is we have no large language models that have been developed here. We have a scarcity in the UK of powerful supercomputers, what they call compute capacity. How much of a disadvantage does that put a country like the UK in this industrial revolution vis-a-vis America or China? Well, first, the answer is a little bit more complicated than your question, because DeepMind is only, you know, maybe 10, 12 miles from where we're recording this right now.

32:05But it's owned by Alphabet. It's an American company. It's an American company, but it's also the headquarters for this particular business unit is here. And the talent doing it is here. But an enormous amount of the engineering and development for DeepMind goes on in Silicon Valley. I mean, we've talked about it. Oh, no, no, there's a ton that happens. there's a time that happens here but with you know even so look it's a source of deep regret frankly certainly to me and i think to steph that you know deep mind felt it had to sell to alphabet to scale up but that's a sort of slightly different conversation for a different time but if we could just look at i mean look it's great that we have i'm happy to answer also answer your question i just i just wanted to show the record is actually the uk is in a much better place than many other countries because deep mind is here i just wanted to make sure that was understood.

32:53So then I do think that one of the things that's super important is to think about how do we engage as a country in AI and not just their progress industrially, but, you know, questions around sovereignty, questions around, you know, how do we not be dependent upon other folks? For example, if the US continues to prove itself an unworthy or unstable ally, then we need to have sovereignty that is not dependent upon that. That's exactly part of the reason why a good stable global order is a good thing because you can function in alliance as well. Now, the good news is I don't think that to have good AI capability, you need to have the million GPU computer onshore.

33:39I think there's various ways to get good enough AI. Some of it is working with the hyperscalers, like for example, just like DeepMind is working with the compute in Google to build stuff. And what you really want is the software. And so as long as you can get to the software, like this is one of the things that when DeepSeek came out and they're like, oh my God, we know what this means. It's like, well, actually this is showing that if you do distillation and use these models, that you don't actually have to be the million GPU computer to have some things that are valuable and some sovereignty with that and some onshore governance that even if something else was turned off could work for you.

34:19And that gives you an instances of how you can play that game because not everybody, I mean, very few people probably outside the US and China are going to build the supercomputers. But for example, because all of the hyperscalers, Google, Microsoft, Amazon, et cetera, want to maintain good relationships with a number of countries, like working out ways that you say, hey, how do we use your computers to build the software that is then our sovereignty software. I think that is completely doable. Is there a world, however, and we're seeing some very extreme things from Donald Trump at the moment, but is there a world in which he so falls out with Europe that he simply says to, you know, the alphabets of the Amazons, you're not to provide your cloud-based compute to Europe.

35:07And in which case, at that point, we don't have the sovereignty that we would like. And we become the thing that we all fear, which is some kind of, you know, vassal state or vassal continent. So if I was worried about that, and by the way, hard to predict how crazy or unstable, given what we've seen in the last week with Ukraine and Zelensky, how crazy it will go. And that's part of the deep, deep concern on this stuff. What I would do if I was European governments, I would work out deals with the hyperscalers to say, well, we are going to facilitate certain things, but we want you to build at least one of those mega computers here.

35:48Because if we are frozen out in this future thing, then we can say, all right, well, we're, you know, maybe even have a contract right that if you're frozen out by public policy, then we can nationalize the local data center and we'll work out a mechanism in advance. then I would do that. And that would be the best way to get a significant computer on shore. That would take a lot of government will. I'm pretty sure that all of the hyperskillers would be willing to do that. It's legal to do now. And they will follow the law. They'll follow the US law. That would be the kind of thing I would then do if I was a government with that concern.

36:24But wouldn't Trump then just kick off and try and block it from happening? Maybe. And then in which case, you'd have to build it yourself, which is much harder. Can I ask you on the point of the kind of AI capability, it needs an incredible amount of energy. You were talking about energy earlier and about geoengineering. How do you see that working? Because geoengineering is fascinating to me. It's this idea, isn't it? This sense that it's kind of interventions into soil and oceans and the atmosphere to try and stop the climate acting how it naturally would. Yep. Two things. One, because it is classic to say, oh, AI is going to use all this energy and it's going to contribute to climate change.

37:00One of the things that all the hyperscalers have done is they have all committed to their new data centers being green energy. And so they're putting in billions of dollars of coolant of venture capital to geothermal engineering, wind, solar, water, all of this, which is part of the thing that's beneficial to society. Because as that energy is developed, then you build more of it and more of it then begins to be powering cities and other kinds of things. So this is part of the reason why on the energy side, I literally think that it's like the environmentalists who are saying nuclear is bad. And so we're going to stop nuclear.

37:35And you have a whole bunch of coal plants that are built because you did that. And your net impact on the environment was really terrible. So it's like, no, no, no. AI for these data centers for building clean energy and helping climate is anything good. Now, second point, geoengineering. One of my frustrations with, this is generally speaking, the more lefty political movements on the stuff about them resisting geoengineering is I don't see any environment where we're charting out, you know, what's going to happen between China, India, Nigeria, and also the West that you're not going to continue to build and industrialize and make a middle class in those societies.

38:14And that will increase the climate temperature and impact. So then you must be experimenting with geoengineering. It's like, okay, let's try to put a little bit of sulfur in the atmosphere and see what happens. Does that help us cool just a little bit? Like, you know, starting to do the experiments. Could we put up some satellites on Lagrange points and have them extend like foils, like umbrella a little bit? You know, could that work? You know, to do these kinds of experiments and do them small first. How would you do it small, though, if you're putting sulfur in the atmosphere? Well, you put a little bit of sulfur in the atmosphere.

38:48Yeah, but then doesn't it just dilute? No, no, no. And by the way, one of the reasons to do sulfur is it falls back to earth. You're going to have to keep doing it. It's going to be like an industry of doing it if it actually works, because within a year, it all falls back to the ground. It just blows my mind, the idea that you can kind of do that on a small scale, but yet, obviously, the climate is large scale. Yes, and by the way, you can't – look, you put it up in some place. This is like Kim Stanley Robinson's Ministry of the Future. you put it up in one place, you can't just stay there. It actually goes to the air, you know, brings it to other places.

39:21And so it's not like we could just run the experiment in country X or over the ocean. But you can start it with a small amount and see what happens with a small amount. And the likelihood a small amount does anything that's really, I mean, look, we've had volcanoes explode and like put up a huge amount. And like the world didn't end when a major volcano did that. Normally the area around it does though, doesn't it? Because it's delivered that particular way. But also that's not because so much the soot or the thing that's in the air. That's because of all the lava and all the rest of it. Yeah.

39:53But you don't, like you do small, right? Not large. And you measure it intensely. So you're an optimist then about climate change in the sense of you don't think it's going to be the thing. I'm an optimist if, let's see, what's the polite way of putting this? Don't sit politely, just sit how you want to sit. If we lose our stupidity and start focusing on this as a technological problem. Right. On maybe issues of stupidity. We've already referred to the fact that Donald Trump is dismantling so much of what kept the world prosperous and safe, whether it's imposing tariffs, whether it is essentially abandoning Europe and the security needs of Europe by refusing to supply military aid.

40:39weapons to Ukraine, a rift in the American-European alliance that has really, as I said, kept the world much safer since the Second World War. But I like to look at the positive here. There's been a real shock to leaders in Europe, including in the UK. And it's not just that we're now seeing a massive increase in defence spending. It's not that we're about to see significant rearmament in Europe, which tragically we need. I think there's also now recognition that Europe's low growth is doing tremendous harm because our viability to stand up to a bully like Trump is undermined by this low growth.

41:27You in your book talk a lot about the right kind of regulation that will allow us to reap the benefits from AI. So, I guess as sort of simply as possible, what would you say to European leaders, not just UK, but all of Europe in terms of what the regulatory structure needs to be to get the most out of artificial intelligence so that this continent can thrive? Well, there's a different answer between Britain and Europe, because I think Britain is much more with it. The current government is understanding that it's one of the things early that the various folks, Peter, Kyle and others are driving forward on this.

42:12They have the foresight and intelligence to even ask people like me to say, hey, what are the things we should be doing that would help with this exact question? Because they care about it. And you're clear that they're listening and they're going to adopt the kind of framework that you believe in. A thousand percent. They'll adopt the framework that they think is right, but they are hearing my position and arguments about what things would help. And they're engaging in it and talking about it and asking questions and so forth. And the only other place within, call it the European theater, that that's been the case so far has been France.

42:43The Germans, as far as I'm aware, have never even sent a minister to Silicon Valley to ask about like how it is this works. It might change with Mertz. It might, and I would encourage them to do so. I met Macron before he was president because he came out as a minister. And it's like, what's going on in Silicon Valley? How do I learn what's going on here? And how do I help France with this? And are you always open when people come and ask you a lot? Is everyone open? I am open for anyone that's from, call it a Western, you know, principled democracy. Right. Anyone from a Western principled democracy shows up.

43:15And then that even extends to places like Singapore. I usually end up meeting ministers from Singapore every year or two because they come through town trying to figure out, like, what are the things that we should be learning? Because I think that's part of my responsibility as a citizen, as a world citizen in this case, to try to help in each of these cases. Are you rare in that sense, though? I'm probably somewhat rare, but I also know of other people. So when, for example, George Osborne came over when he was shadow minister, actually, before he was in government. And so I've known and highly regard George for a number of years because it was like, hey, what should I learn here that I can bring back to my country and help?

43:52Did he bring anything back? I think he did. I mean, he's certainly been smarter and ahead of like, for example, I think they're setting up Tech City, trying to get those visas the right way, trying to get actually software entrepreneurship going broadly, trying to do tax schemes to encourage the construction of the companies that could help with the industry. Like, I think it was a whole stack of things that he ended up doing after thinking about, like, OK, what is useful here that I could bring back to the UK? And so I think that's important to do. Now, on the other hand, what you actually see in Europe is things like the EU AI Act, which is, well, our most important thing is to rein all this in.

44:29Right. And like the really important thing is we need to have, you know, a year of testing to make sure this fits our society as designed. That's what we really need. And you're like, well, that's a way to lose out in the cognitive industrial revolution. And, you know, among the reasons why I think that the mistake of how broad, you know, even earlier GDPR is, is like saying, okay, all of the modern AI is learning stuff from data. And if you're going to say by default, you can't do anything with data, right? Then, well, okay, that by default is going to be, well, then you're going to have no AI, right?

45:04And so, and they said, well, but once people get to, you know, 100 million people who are engaged and have opted in, it's like, okay, so then you're essentially handing it to American tech companies because no startup is going to get there for it. And if that's what your choice and your preference is, that's okay. And I have a belief in American tech companies. I mean, one of the things I used to say at Davos to try to get, you know, European leaders, you know, the EU commission to wake up is like, look, keep doing your policies. You'll hand the entire tech industry to us. And then once we build it to scale, we'll bring it over and navigate your tech policies.

45:36And then we'll be providing all the industry here. If that's your plan, it's working very well. You should stay with your plan. God, it's a disaster, isn't it? It's deeply depressing. Now, of course, the reason I was saying it was to try to get them to get. Look, I think it's far, far better to have Britain and Europe developing and playing. I think it's better for the US. I think it's better for the world. And so one of the things I've been saying in the last couple of years to a variety of government officials in Europe particularly is say, well, if you look at AI as a World Cup match between the US and China, and you think Europe's role is to try to play the referee, there's two problems with that.

46:16One, the referee never wins. Two, no one really likes the referee. So get on the pitch. Get in the game. That's the thing that's most important to do. And it's like, well, but we have to regulate it first. And you're like, regulation always slows down innovation. Always. But you do need some of it. Oh, some, of course. But it's like, so be as minimal as you can, because each degree of regulation you're adding is slowing down innovation. It doesn't mean that you don't slow down some because it's really important to avoid this catastrophic outcome. But to say, we're going to have centralized planning for innovation.

46:48The UK AI Security Conference Summit. I listened to this Indian minister who said, this time, we're not going to have innovation before we regulate. And you're like, oh. Yeah, that's the wrong way around. Yes, exactly. It's like, no, you're exactly wrong. There's definitely a trust concern, though, about the fact that we are seeing these big companies having so much data about us. And then you see Elon Musk doing what he's doing now. And there is certainly, like from a consumer point of view, there is still a trust issue. And, you know, if they feel like it isn't heavily regulated, then they'll even be less wanting to take it on.

47:27Like, for example, we were talking to some manufacturers recently and only half of them in the room that we were chatting to. And this was a big conference of leading manufacturers are using AI. And only half of them actually might be less thought that AI was going to radically change things for them. And I think there's that trust issue of we are not sure what we're giving to these big companies. And how do you combat that? I personally feel that at least some of these big companies are deserving of trust. You know, I wouldn't just say Microsoft because I'm on the board, but, you know, Google and others.

47:59And I think that, you know, you when you think about it, like everyone's using a smartphone, most fundamental, like you're advertising your real time geolocation through this and it's worked out pretty well. Right. So so to think about like, OK, what are the things that we need to do? And by the way, sometimes you need to take some risks. And if you go, well, I'm uncertain because I would like to have very, very deep regulation of it. Well, you're not going to get it if you have really deep regulation of it. The one, I think, challenging counter argument. We did, as societies, take pretty big risks with the diffusion and rollout of social media.

48:35And that definitely has led to a mental health crisis, particularly among young people. And so there can be the notion of roll it out, see how it goes, regulate later. That can bring quite big costs to society. Yeah, but my specific thing, and even, by the way, I agree with social media and young people. By the way, I always in this case say, hey, LinkedIn worked pretty well. And that was the thing I did. The thing is, is start monitoring. You have a concern. Okay, what's the way we can monitor it? And you say, well, so this time we'll not get into as much of a big mental health crisis with young people because we'll have been monitoring early and adjust earlier.

49:15Great. That doesn't mean this time what we're going to do is you wouldn't have necessarily known in 2004 anybody, even the builders of this, oh, this will lead to a broad spread mental health issue with children. You wouldn't have known that. So you say, no, no, we're not going to allow that kind of big thing to happen. We're going to imagine everything that could go wrong and we're going to stop it in advance. What you want to be doing is saying, OK, we have these concerns. Let's start measuring them. Right. And then when you measure, they go, look, that's getting bad. Now, either you companies fix it or we regulate.

49:47It sounds like from everything you've said across this entire chat, what you're saying is we need to take more risks and there will be some casualties. And we've just got to accept that. It's not pure laissez-faire. You are saying, keep an eye, don't just trust the market, monitor it, and before it becomes an epidemic, stop it. Yes, exactly. That's probably a good point to end the chat, isn't it? But thank you very much, Reid. That was fascinating. We could literally keep you here for hours, but I'm aware you've got a life. Can I ask, how often do you get people pitching to you to invest in their business?

50:20Well, if you look at my email box, it's probably 40 per day. a day 40 a day and what do you reckon have you resisted the temptation Steph to pitch slime to read I know I'm gonna I'm about to before you get out the door before I unlock it I'm gonna pitch some ideas to you brilliant thank you so much my pleasure yeah brilliant that's it from us on the rest is money bye bye goodbye

From the publisher

This week Steph and Robert speak to Reid Hoffman, the co-founder of LinkedIn and an early investor in tech giants like Facebook and OpenAI. Reid gives us his take on Musk’s government efficiency drive, and considers whether a country can be run like a business. How can governments balance innovation and regulation? And, how can AI give us superpowers to tackle things like climate change and job market instability?

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