Our Guest Nina Schick Discusses
The AI World Order: Nina Schick Reveals How AI Is Reshaping Global Order
What if AI becomes the most consequential technology in human history?
On this episode of Digital Disruption, we’re joined by Nina Schick, geopolitical analyst and one of the world’s leading voices on AI.
Nina Schick is a globally recognized expert on AI, geopolitics, and power. She was among the first to forecast the societal impact of AI-generated content and now leads the conversation on industrial intelligence, the idea that AI is not just software, but a geopolitical and industrial transformation.
Nina sits down with Geoff to unpack how intelligence itself is becoming a geopolitical weapon. She explains why we are entering the Age of Intelligence, where nonbiological intelligence may soon rival or surpass human intelligence, reshaping economics, warfare, democracy, labor, and global power structures.
This conversation goes far beyond AI tools and chatbots. We explore:
- Why AGI may arrive sooner than expected.
- How AI infrastructure and scaling laws are reshaping global power.
- What AI means for warfare, democracy, and national security.
- How near-zero-cost intelligence will transform work and leadership.
00;00;00;04 - 00;00;27;14
Geoff Nielson
Hey everyone! I'm super excited to be sitting down with Nina Schick. She's a leading voice, not just on AI, but on its intersection with geopolitics and power. She's worked with NATO, the Joe Biden White House, and organizations like MIT, TEDx, wired, and Bluebird on how AI is reshaping global power in the 21st century. I want to ask her about her forecast on the level of disruption this technology is going to bring to our lives, our countries, and our work.
00;00;27;18 - 00;00;43;05
Geoff Nielson
Who will be the winners and the losers? And what should leaders be thinking about if they're going to harness the next generation of technology and build prosperity for their citizens and their employees? Let's find it.
00;00;43;07 - 00;00;59;00
Geoff Nielson
Nina, thanks so much for being here. Super excited to have you on the show. Maybe just to kick things off, you know, tell me a little bit about your outlook for AI for AGI. What impact do you see them having in the next handful of years? And what sort of level of disruption do you think is most likely?
00;00;59;03 - 00;01;32;24
Nina Schick
I think this is potentially the most consequential moment in human history. Right. Because the quest for AI has always been can we create a non-biological general intelligence? And for decades that was just theory. But what has been happening in particular over the past decade, thanks to a new model in accelerated computing power, is that we are entering the foothills of actually being able to create a non-biological general intelligence.
00;01;32;26 - 00;02;03;24
Nina Schick
And the progress I mean, when you talk to people at the frontier, it's crazy, right? What's happened in the last five, six, seven, eight years? And what we have been seeing emerging is that there is a new power law that's kind of dictating this progress, the AI scaling law. And then you couple that with efficiency and just the sheer amount of competition, not only amongst the frontier labs to do this, to crack this nut, but amongst nation states as well.
00;02;03;27 - 00;02;27;14
Nina Schick
And I think that it's no hyperbole to say that, you know, AGI, if you want to call it that, a general intelligence that's non-biological, that's better than human intelligence is, you know, probably on the horizon, maybe even something we'll see in our lifetime. So again, if you look at this from a historical perspective, is there anything in the history of human civilization?
00;02;27;14 - 00;02;54;26
Nina Schick
We've only been around as a species for 200,000 years. That's more powerful than that. And it's worth remembering that even if we do get to some point, like AGI or ASI, that's not the end, right? We how much more intelligent can a non-biological system become? So for me, I think it's literally the most fascinating time to be alive.
00;02;54;29 - 00;03;08;21
Nina Schick
And, you know, it's going to change everything as far as I'm concerned, with society, but also politics and yes, amazingly interesting for the frontier of knowledge. But it's going to be really disruptive to.
00;03;08;23 - 00;03;41;24
Geoff Nielson
I mean, it's hard to, based on your answer, like it's hard to understate the amount of disruption. It sounds like that it's going to that, that it's going to create for us. And so, you know, as you from your perspective and with some of the people you've spoken with, you know, stare down the barrel, of this change that's coming, you know, what's your level of, you know, sort of excitement for us versus, you know, fear or concern about the risk because, you know, obviously, if we're talking about this level of change, it's extremely difficult to predict.
00;03;41;24 - 00;03;47;26
Geoff Nielson
I could go in any direction. How do you you know, what's your kind of sentiment looking out over the horizon?
00;03;47;29 - 00;04;25;24
Nina Schick
So I I've sit on both sides of that debate. When I initially came into the world of I mean, my background is in geopolitics and policy and my first kind of, bottled lightning moment when I kind of began to understand that what was happening at the frontier of deep learning was actually different, from kind of the theoretical debates we had been having for many decades that, you know, there was actually real progress starting to happen with regards to this ambition of creating a general intelligence around 2016, 2017.
00;04;25;24 - 00;04;46;13
Nina Schick
And a part of that was informed by the fact that I was based in London. You know, this is where kind of my political career started. And it was around that time that Google DeepMind, you know, the company pioneered by nemesis, Orbis, was really starting to make incredible breakthroughs, right? 2016 was the year when AlphaGo beat Lee Sedol.
00;04;46;16 - 00;05;16;06
Nina Schick
So I was in the right place at the right time when some incredible researchers were making these breakthroughs in deep learning. And initially, the first kind of, I say, the first viral use case, when these capabilities started leaking out of the lab into the real world, what was the first application? Okay, so Google DeepMind kind of pioneered what was possible, beginning to build some building blocks of the general intelligence through video games.
00;05;16;13 - 00;05;50;23
Nina Schick
And when that increasing capability started to escape out of the lab in 2017, what was the first thing that people made? Well, they made nonconsensual pornography, right? Deepfakes were the first kind of viral manifestation of AI's new capability leaking out of the research lab. So, given at the time I was working in geopolitics and really thinking about how everything to do with exponential technology was changing the information ecosystem, the balance of power.
00;05;50;26 - 00;06;29;25
Nina Schick
We're thinking about social media platforms. We're thinking about a corroding information ecosystem. And then I see deepfakes. I was like, oh my God, this is going to be weaponized. This is going to be extremely dangerous. And already now, you know, less than ten years down the line, those early concerns that I had in 2017 about how the information ecosystem could be corrupted, how bad actors might use, these increasingly capable, systems to wreak havoc, in the case of initially by creating nonconsensual pornography and then in fraud, like all of that is playing out.
00;06;29;27 - 00;06;57;21
Nina Schick
But I've also now, for the past few years, been on the other side where you understand that actually the ability to solve intelligence, right, that that's what the pursuit of artificial intelligence is all about is so exciting because it raises the ceiling in terms of human knowledge. Right. And I think the killer up for AI might actually be scientific discovery.
00;06;57;21 - 00;07;25;10
Nina Schick
So if you follow the scientific method and then begin to understand that with these computational systems and with these incredibly capable and again, non-biological intelligence, which were only just at the very foothills of, you know, what is it possible to uncover? This is why I think the most exciting applications of I happen to be at the frontier of where computer science meets hard sciences.
00;07;25;12 - 00;07;55;24
Nina Schick
And again, we can talk about, I just I just recently watched The Thinking Game, which is the documentary going into how DeepMind, built AlphaFold, which was another program to uncover the structure of proteins, which is one of the biggest challenges in biology, unsolved for 50 years. And we were able to kind of unfold the structures of 200 million proteins, entire proteins known, in existence thanks to an AI program.
00;07;55;24 - 00;08;20;27
Nina Schick
So you begin to understand, you know, how much scientific knowledge may come from these AI applications. So it's it's really in the end, it's both. Right. It's it's this technology which is extremely powerful. It's really a story that's as old as the story of human nature itself or, you know, is, is is a human inherently good or bad?
00;08;21;01 - 00;08;49;26
Nina Schick
And it's going to be both. But I think the thing that is different is just how quickly it's happening, just how quickly it's happening, just how capable it's becoming. And in order. I mean, the way that I think about it now is that the race that's on amongst the frontier companies and amongst the nation states is not only how can we create an intelligence that's superior, but also how can we scale it, how can we industrialize it?
00;08;49;26 - 00;09;17;16
Nina Schick
So it's a utility, an industrial scale utility. And if you look at what's happening right now, the AI scaling laws have been pretty consistent. But along with that, the cost of inference, right. The price of actually running AI is dropping. Meanwhile, efficiency how much intelligence can you get per watt or per flop. So per unit of electricity or per unit of compute is accelerating as well.
00;09;17;21 - 00;10;06;00
Nina Schick
So if you create this incredibly capable non-biological intelligence, but at the same time it's becoming so cheap and efficient, the speed of diffusion, throughout the economy and the societies probably going to be faster than anything we've seen before. And that inevitably will come with huge disruption. This is why I say this is going to become the biggest political story of our time, not only because of at the macro geopolitical level, you see this competition between the superpowers, namely the United States and China, to gain technology dominance as a way to have clout in the world, as a way to shore up their sovereignty, because ultimately, it comes back down to everything that's related to
00;10;06;00 - 00;10;37;23
Nina Schick
economic prosperity and national security ultimately comes down to is downstream of advanced technology. So you have this macro geopolitical competition going on, but then even at the level of society, everything that matters, right? Am I going to have a job? Will I be economically prosperous? Issues like the environment, issues like the distribution of wealth, issues like the relationship between labor and capital on almost every single vector?
00;10;37;23 - 00;11;03;23
Nina Schick
You know, everything that's contentious in society or everything that we discuss and debate right now. There's an AI angle to it. So not only is it shaping this macro economic, geopolitical race, but on our day to day lives, every issue that is contentious in our society right now, I mean, this is going to all be bubbling around this issue of AI, and I think that's going to accelerate.
00;11;03;23 - 00;11;38;08
Nina Schick
We haven't even seen anything yet. I think we're just starting, you know, in the very early phases, it's, it's and you already see that when you see, politicians well, across the world, but across also I'm based in the US now, but across the Partizan divide, right on both the conservative side and, on the left side, saying, you know, raising questions about AI and culpability and accountability and how this because ultimately it deeply impacts what is power, right.
00;11;38;08 - 00;11;43;26
Nina Schick
And our relationship to power. So, yeah, we're in for a wild ride.
00;11;43;29 - 00;12;11;04
Geoff Nielson
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00;12;11;06 - 00;12;31;21
Geoff Nielson
There's, there's so much to unpack, and you know that I've that there's so much there that I want to unpack. But I'm glad you ended on a note about power, because power is where I wanted to to go next. And I don't mean compute power. I mean power at, you know, a world stage at a geopolitical level, Nate, whether it's nation state, whether it's enterprises.
00;12;31;21 - 00;12;59;01
Geoff Nielson
And when we think about this technology, I mean, right now, yeah, it's no coincidence that you mentioned Google DeepMind. You know, several times there, we've got a technology where there's only a handful of major players right now. And so I'm curious, as you look at the implications, whether it's in enterprises, whether it's in nation states, is this concentration of power, you know, a risk?
00;12;59;01 - 00;13;18;12
Geoff Nielson
Is it something that we need to be mindful of? And how are the big players looking at making sure that they can be competitive here and that they can, you know, sort of use this, that they can gain power here versus lose it in this kind of world where it's being increasingly concentrated.
00;13;18;15 - 00;13;50;04
Nina Schick
I think, look, technology has always been directly related to power, right? If you look at kind of a history of civilization, the civilizations or the organizations or, the groups of people who had control over the most advanced technologies became powerful. They became economically prosperous. They, had an advantage when it came to their defense. And security.
00;13;50;06 - 00;14;10;09
Nina Schick
And it just so happens that for kind of the past few decades, again, if you look at the long cusp of history and you look at maybe a Chinese perspective of, you know, China's place in the world, historically it will be seen as an anomaly that for the kind of the last few hundred years, the Western nation states have been kind of the most powerful.
00;14;10;09 - 00;14;33;04
Nina Schick
And a lot of that had to do, by the way, with the Industrial Revolution. Right. Before the Industrial Revolution, for much of civilized history, it was actually China and India that accounted for most of global GDP. So there is a historical precedent that shows that those civilizations that own the most powerful technologies become the most economically prosperous.
00;14;33;04 - 00;15;00;09
Nina Schick
It was actually a reason why, again, European, civilizations became richer and more powerful from, again, the perspective of a country like China, thanks to their technology. Now, what's been happening, more recently is the emergence of these tech giants, right? They were the monoliths that built the platforms and the technology of the information age, if you want to call it that.
00;15;00;11 - 00;15;44;10
Nina Schick
But I think when you look back at the end of the 20th century and the beginning of the 21st century, what we now know is the technologies of the information age, it's just going to be a continuation, if you will, a stepping stone to now what is becoming the age of intelligence, right. It is all of those technologies that laid the groundwork for what is able to happen now, this idea that we can scale this non-biological intelligence, it is because of the advances in hardware, and it's, you know, Moore's Law dictated the progress for the last 30, 40 years about the digitization of everything, how the computer chip has silicon became almost like the
00;15;44;10 - 00;16;17;16
Nina Schick
central beating heart of, our economy, but also our existence. I mean, it's pretty difficult to imagine living your day on a day to day life without all these devices and all the technology that has become totally integrated into who we are. But it was also the internet and the, the fact that all this data, everything known, the entire corpus of human knowledge to this point is basically on the internet that's allowed this early training for these early, versions of AI models to be successful.
00;16;17;16 - 00;16;50;27
Nina Schick
Right? The hardware and the training. But what's also becoming clear now is that to scale this non-biological intelligence, it isn't only about data and hardware, but you need to have industrial capacity. And that's what's happening right now. You see this again, this is where the geopolitical context comes in. If you think about running intelligence as a utility that's on 24 over seven, you don't only need this huge industrial base to build the models capability, but you actually need it more to run inference.
00;16;50;27 - 00;17;15;06
Nina Schick
Right. To have this switched on as a utility 24 over seven. So that's why the CapEx is so phenomenally vast. That's why you hear that. I mean, in the US in 2025, the CapEx, the Hyperscaler CapEx, just on building out this AI infrastructure to build intelligence as a utility is an excess of $500 billion. In 2026, it's going to be in excess of $600 billion.
00;17;15;09 - 00;17;55;06
Nina Schick
Who's got the money to do that kind of thing? You know, it's not governments. And and again, again, you see the comparison between like the United States versus Europe, where you have the EU announced a scheme like, oh, we're, you know, €1 billion. It's our apply AI scheme. And meanwhile the hyperscalers, the majority of which are American in terms of their influence across the world, are able to commit this resource, which is historic, unprecedented resources to build out this infrastructure.
00;17;55;06 - 00;18;20;12
Nina Schick
And then the question is, why? Why are they doing this? And there's so much fear about the AI bubble. But I think that Sundar Pichai, the CEO of Google, said it best when he's like the biggest risk for us is not over investing. It's actually under investing, right? If we're actually in a race to create a non-biological intelligence, which will be run as a utility throughout the economy, this is an infrastructure play.
00;18;20;17 - 00;19;04;11
Nina Schick
So who owns the infrastructure for the utility that everyone is going to need? That's going to be diffused to every part of the economy. And of course, what you see happening when it comes to and this very long answer to your question, is I think that those advantages that were accrued to the US tech companies over the past 20, 30 years, in the early days of the information age, means that they are placed extremely well to compound their infrastructure and their power, and those regions of the world that can't compete in terms of having these infrastructure and technology companies.
00;19;04;16 - 00;19;37;12
Nina Schick
Well, it just means that everybody else has to build on top of this infrastructure that is now being developed. I would argue, mostly in the United States. So it becomes not only a question like we always debate, and we have been debating for the past ten years in particular, ever since all the controversies around social media and the internet and understanding that there's this dark underbelly to these technologies, that it isn't only that we're going to be in this utopian age of information, that there's going to be deep societal disruption.
00;19;37;18 - 00;20;16;17
Nina Schick
We talk about democracy and accountability and the tech platforms. On the other hand, the fact that these tech platforms are American companies is also a huge, testament, if you will, to American power in the world. And you can think about that in very concrete terms about even just computational architecture and the fact that any kind of national security or defense system still needs to run on compute and compute infrastructure for instance, in Europe, 80% of the compute infrastructure belongs to American companies.
00;20;16;17 - 00;20;37;24
Nina Schick
So it's it's it's not only a question about democracy and accountability, which is going to become such a toxic political debate, because there is no doubt that these companies are more powerful. The nation states, these companies are the ones that are building the infrastructure that everyone's going to be dependent on. So there'll be a lot of political controversy around that.
00;20;37;26 - 00;21;10;24
Nina Schick
But on the other hand, it is also a projection of hard power in the world. And I think that, you know, the president currently, Donald Trump, he understands that, which is why there have been multiple kind of traveling embassies of Donald Trump flanked with America's top tech leadership, where they go to different parts of the world and promote the full stack of American technology, you know, signing multi-billion dollar deals because it is a projection of geopolitical power.
00;21;10;26 - 00;21;14;21
Nina Schick
So very long answer to your question that.
00;21;14;24 - 00;21;43;17
Geoff Nielson
Nah, it's great, it's great. And, and gives, you know, gives us a lot to think about as we look at kind of the direction the world is going. And how some of this might play out. Now, you've, you know, you've done some work with NATO around, you know, the use of AI as a hard power. And obviously NATO encompasses more than, you know, just America, but America playing such a dominant role now with these big tech companies in owning and building the infrastructure here.
00;21;43;19 - 00;22;04;19
Geoff Nielson
Yeah. As you talk to leaders at NATO and and you know, any other, you know, kind of nation state organization or nation state or, you know, trans nation state organizations, what are they thinking about what's what's on their radar? And you use the term hard power AI as a hard power. How are they looking at adapting to this new world?
00;22;04;19 - 00;22;09;05
Geoff Nielson
And and you know, what are they worried about getting right or getting wrong?
00;22;09;08 - 00;22;40;22
Nina Schick
I think there's an understanding, that perhaps the anomaly in history has been almost the last 30 years of American hegemony, where, you know, you talk about this liberal, rules based democratic order. Of course, it was never very liberal nor very rules based. But I think the key point was, you know, you had a single hegemon, which was America and its Western allies.
00;22;40;25 - 00;23;11;11
Nina Schick
And there was this belief, I mean, I'm a child of, of the 80s and the 90s that this was, you know, the end of history, that everyone is marching towards the natural end state of a liberal democracy. And of course, what's happened over the past, you know, decade and a half, is that that utopian kind of ideal which coincided with the birth of the internet and the advent of all these technologies, that that is not so.
00;23;11;17 - 00;23;54;04
Nina Schick
Right. So there is an understanding that we are heading back into a world where hard power speaks. And if you again, look at it from a historical lens, that's the way things have always been throughout history, the past kind of, 30, 40 years. That's been the anomaly. And a along with that, there is an understanding that that hard power needs to be backed by technology because it is so relevant to national security and defense, and at the same time, an understanding that conventional means of warfare are radically changing.
00;23;54;07 - 00;24;39;16
Nina Schick
Right. If we are creating a non-biological intelligence, and at the same time, the kinetic manifestations of warfare. So, you know, drones, missiles, the, the, the, the physical weapons you use to wage warfare are fundamentally being changed by being looped into intelligent systems. Then the then you have to not only are we heading back into a world where disruption is happening, where hard power matters, where there is this unbelievable technology competition, but the tools and the way that we wage warfare is also changing, is increasingly going to be led by autonomous systems.
00;24;39;18 - 00;25;11;01
Nina Schick
Well, then that's a pretty radical reset, right? And right now, I mean, what is interesting from the perspective of NATO is the fact that the kind of transatlantic relationship is super strained. And that has a lot to do with Trump's presidency, but also the fact that the balance of power is shifting to the sense where America isn't just the regiment anymore, its focus is going to the east.
00;25;11;01 - 00;25;41;07
Nina Schick
And I think what is clear from what's been happening again over the past 30 or 40 years is that from the perspective of the CCP, technology is the chosen instrument of the CCP to regain its rightful place, in, in history, on the global stage. So the at the same time as all this disruption is happening, the relationship between the Western allies is fracturing and the US, it feels that it's Germany is threatened by China rising in the east.
00;25;41;07 - 00;26;27;17
Nina Schick
And this is playing out primarily through these technology battles. But in order to secure that kind of technology superiority, we also see new kind of battles happening when it comes to trade wars or supply chains. So new relationships are being built, notably. I mean, if you look at the kind of deals that are being done between the US on the Gulf, this is really interesting where they're selling the full kind of stack of American technology capabilities, but also this is emerging as a kind of, military alliance, a military partnership, or the redrawing of critical supply chains in the region, you know, in Latam, where there's an understanding that the kind of resources that
00;26;27;17 - 00;27;09;24
Nina Schick
we need for advanced defense, supply chains, we can't, like, source those only from China. So the structure of global power is radically shifting as we speak. And I think the predominant reason that is happening is because the era of American hegemony is over. We're entering into this period of hard power. And, they'll be interesting to see whether or not the Western alliance, what we kind of took for granted growing up in the 80s and 90s, is going to be, one of the casualties of that.
00;27;09;27 - 00;27;35;08
Geoff Nielson
There's there's a particular aspect of that that's, you know, caught my attention lately. And so when we talk about, you know, the East and the West or certainly, you know, America and a lot of these Western powers and then the CCP, China, one of the fundamental differences societally, but also in terms of the approach around AI, is the, the governance structure if I or the system of governance.
00;27;35;15 - 00;28;02;21
Geoff Nielson
And so, you know, China is a one party nation under the CCP versus, you know, these more, you know, democratic countries in the West, and you can see it manifesting itself around the, I guess, the approaches around AI, but also in some ways, I think the speed and the urgency around which, you know, the there's there's investments in education around the AI technologies.
00;28;02;23 - 00;28;24;08
Geoff Nielson
And so I'm curious, you know, from your perspective, Nina, one of the one of the questions of the day is whether AI is whether one of those systems is better than the other for dealing with these technologies. And, and, frankly, whether AI is actually a threat to democracy and whether we're going to start to see it reshape these political systems.
00;28;24;10 - 00;28;47;21
Nina Schick
So I recently did a speech on this where I said, you know, the biggest threat to democracy is actually if you don't rise to the occasion, right. We're creating non-biological intelligence. I'm increasingly bullish that the capabilities are going to be there. That's the point. Whatever you want to call it, let's say you call it ACI or AGI.
00;28;47;23 - 00;29;20;21
Nina Schick
Very powerful. Computational intelligence is going to be a reality in the next, you know, decades. So given that the applications are so profound, both for economic prosperity but also within military and security applications, it seems to me that the biggest risk for democracies is that they don't use these technologies to rebuild the base of sovereignty and prosperity for the next century, right.
00;29;20;28 - 00;29;47;22
Nina Schick
That we focus too much on things like trivial consumer apps. You know, one of the things that I dread, I have young children is, Mark Zuckerberg's version for consumer AI, where every American will have five AI friends. So do we just want to enter into a world where we just dull ourselves and kill ourselves with distraction, literally being entertained to death?
00;29;47;25 - 00;30;16;29
Nina Schick
Or are we going to use this kind of non-biological capability to rebuild the base of prosperity and think about it, you know, how is that what's going to be distributed throughout society and security? So it always comes down to this prosperity and security and not just some trivial consumer apps, because a lot of what's been happening over the past few decades is that some of the brightest minds, the best people, you know, that's what they've been doing.
00;30;16;29 - 00;30;49;07
Nina Schick
They've been building kind of trivial consumer apps like food delivery services. So I think in addition to that, you see this competition between capabilities, right? So who can build the best models. And there's and and to be honest with you, I think there's been a lot of debate about, oh, China's catching up on the frontier capabilities. But I don't know if that's true because I think the contest is between the American frontier labs, in part because China is so compute constrained.
00;30;49;09 - 00;31;17;09
Nina Schick
And yes, we're unlocking like, incredible new architectures to make the models more efficient. But it seems to me my bet for 2026 is that the biggest kind of breakthroughs in terms of model capabilities are probably going to come from Google and Z. So I don't think it's going to come from a Chinese frontier lab. But then the second competition you're engaged in is deploying broadly across society, right?
00;31;17;09 - 00;31;45;22
Nina Schick
Actually, getting the capability within a system is only one part of this equation of industrializing intelligence. The second part of the equation is like, okay, the societies that are going to have the most transformation are those who actually take the utility of intelligence and deploy it widely across society. And, importantly, coming back to this question about security in military applications as well.
00;31;45;24 - 00;32;11;03
Nina Schick
And there I mean, I'm not an expert on how the CCP is deploying AI, but what is really interesting is that as soon as AlphaGo came out in 2016, they took it really seriously. So in 2017, that's when the CCP, launched its policy, its next generation AI development plan, making it an explicit, explicit policy to be the global leader in AI by 2030.
00;32;11;10 - 00;32;52;00
Nina Schick
And by 2019, they had also laid out their policy position on how to intelligence ties the PLA right, the People's Liberation Army and in summer 2025, you had a pretty historic military parade in Tiananmen Square. Chairman Square, where XI Jinping was flanked by Kim Jong un, as well as Putin, the first time kind of the three leaders of North Korea, China and Russia had been seen together since the Cold War at this military parade where a big part of it was displaying the intelligence ties, kind of new capabilities of the PLA.
00;32;52;03 - 00;33;20;18
Nina Schick
So in the US, how do you if you don't have this top down kind of control and command system that you have with the CCP? What's the model that works? Well, I can tell you what doesn't work, because I moved to the U.S. from Europe and my career, my early career was in geopolitics and working in EU policy and seeing just how fractured the 27 states of the European Union are.
00;33;20;20 - 00;33;25;07
Nina Schick
There is no kind of,
00;33;25;09 - 00;33;55;16
Nina Schick
There is no kind of cohesive. There is no top down, first of all. But there's no bottom up either. And it's you see that now with strategic vulnerabilities in Europe, on defense, on energy sovereignty, on economic policy, on migration, you name it, the gamut. So that's model doesn't seem to work. But what I see happening in the US and again, there's a historical precedent for this where can actually work is the spirit of public private partnership.
00;33;55;19 - 00;34;21;28
Nina Schick
Right. And people say see the US government now taking an interest in these issues because there's an understanding that, yes, technology superiority is fundamental to our national security. And, there's a lot of dismay because I think the messenger is Trump and he, obviously evokes very partizan reactions. But that is always been the spirit of great American innovation in the 20th century.
00;34;21;28 - 00;34;54;14
Nina Schick
Right? The Apollo Project, the Manhattan Project, even the history of Silicon Valley comes down to this public private partnership. I mean, people have kind of written that out of history recently, that Silicon Valley actually starts with, in partnership with the US military, even semiconductors, you know, semiconductors themselves, Silicon, the thing that the entire world runs on comes from this great tradition of, public private partnerships that you're really starting to see that amping up here in the United States.
00;34;54;17 - 00;35;16;17
Nina Schick
So I think that's going to be the question of the 21st century. Right. If the European model doesn't work, I don't think it's going to work. I don't think they're going to be a contender in this race. You have obviously in China, where, yes, they might not have the frontier model capability, but I think in terms of deployment and mission, there is a mission right.
00;35;16;20 - 00;35;38;25
Nina Schick
There is the sense of we want to restore our place, in history, on the global stage. And now you have this renewed sense, I think, of national purpose in the United States as well, where it is about more than, let's build a consumer app or five AI friends for people. It's about, hey, how do we actually protect sovereignty, democracy?
00;35;38;25 - 00;35;51;24
Nina Schick
How do we ensure kind of the ideals of freedom and prosperity endure and I think that's going to be the most interesting geopolitical contest of the 21st century. And, there's there's two players in the race.
00;35;51;26 - 00;36;08;29
Geoff Nielson
Well, and I want to come back to the notion of the public private partnership. And you know, you talked earlier about a big component of this is the notion of deployment and how you can get this technology out into the hands of people, into the hands of organizations. So I want to talk a little bit about that for a minute.
00;36;09;01 - 00;36;32;11
Geoff Nielson
What what does that look like? And when you're talking to business leaders or presenting to business leaders hearing their concerns, certainly we're at a moment in history, as we said, where there's a lot of concentration of this technology with a few different big companies who own a lot of the infrastructure, who are way ahead of everybody else in terms of the capabilities and the research.
00;36;32;14 - 00;36;48;10
Geoff Nielson
What does it look like for everybody else? If you're running an organization in, you know, whatever non-tech sector of the economy, how should you be thinking about AI and deploying it and using it to be more competitive in your own business?
00;36;48;13 - 00;37;25;13
Nina Schick
So the first thing is that the the huge infrastructure giants, you know, the tech giants, the monoliths, they're playing a different game from everybody else, right? So there's no out competing them. And it'll be very interesting to see what happens with open AI, because that that's because in terms of actual sheer capability on creating intelligence, you know, they became the bottled lightning moment for the world to start realizing that this I think was a big deal thanks to ChatGPT, which was, I don't think there was any idea that it would be as wildly successful as it was.
00;37;25;13 - 00;38;00;20
Nina Schick
We know it opening. I didn't pioneer other labs in the first place, but it will be interesting to see whether or not they can prevail because they're not a fully integrated infrastructure, vertically integrated tech company in the same way that kind of Z is or Google is. Right. So if OpenAI fails, it kind of shows you the reason why, in the long run, nobody can play that game of building intelligence as a utility on this or vertically integrated infrastructure and technology company in the way that I see a Google, to be.
00;38;00;23 - 00;38;23;21
Nina Schick
But for everyone else, we're not doing that, you know, playing the game of building intelligence. You're not building, you know, build you're not in the game of creating it as a utility. You may be kind of providing there's a whole cottage industry to provide the picks and shovels to kind of industrialize intelligence. So a great time to be in the energy sector, a great time to be in the networking sector.
00;38;23;21 - 00;38;45;14
Nina Schick
I mean, it seems to be a new dawn for the age of nuclear as well. But for everybody else in the broader economy, the question is, okay, I go to lots of meetings where you talk to business leaders and everyone's obsessed with the latest capability, or how do I apply AI in my business? Or what's the ROI? Or what are the use cases?
00;38;45;16 - 00;39;12;16
Nina Schick
And my message is still, we're way early, right? We're way early. So when you look back like the tools that we have now, whatever these a genetic workflows or like the lems, they're going to seem very like extremely rudimentary clumsy tools, probably within the next six months, within the next 12 years. So as a business leader, I think what's far more important is to understand the direction of where we're going.
00;39;12;23 - 00;39;40;25
Nina Schick
Right? So this is why I always talk about AI not being a tool. It's it's a capability, just non-biological general intelligence, which the race is on now to industrialize as a utility. So you have to think, you know, what are you going to do in a world where the price of intelligence is almost zero? So if these capabilities keep improving and the cost of inference keeps dropping, you know, how will you apply that within your organization?
00;39;40;25 - 00;40;12;04
Nina Schick
That's far more interesting for me in the medium to long term than you know. How are you using a chat bot right now within your organization? And yes, you are starting to see some really interesting early and successful use cases of AI. But I think the real, economic gains and the real use cases and the real value of this isn't going to be evenly distributed or even start to merge at scale until we actually crack the nut of like industrializing the intelligence itself.
00;40;12;06 - 00;40;46;20
Nina Schick
So then I think what matters is, again, true leadership in the sense that your company might not change overnight. You know, you're not going to have AI as a magical panacea to all ills. I loved it when I recently spoke to the CTO, Lockheed Martin, and he he's pretty skeptical on AI. Or he hates that at least how the debate on I kind of either presents it as like a magical panacea or, you know, that that that it's either everything or nothing.
00;40;46;20 - 00;41;07;00
Nina Schick
And he said, AI is that magical pixie dust? It's true. Like I said, that magical pixie dust. You still have to look at your organization. You know what's what's the capability gap? What's the thing you're trying to solve? And then you think about, okay, how you apply intelligence, in that afterwards. And then I think this is very real thing about your workforce.
00;41;07;02 - 00;41;17;07
Nina Schick
How are you going to manage that is maybe even the most important thing. How are you going to manage your team? How are you going to organize?
00;41;17;09 - 00;41;40;21
Nina Schick
Your hierarchy, because you're already starting to see it. I know that a lot of people are blaming layoffs on AI. That's that's not it, right? In the olden days, you'd call in McKinsey and everyone get laid off. And now I kind of emerged as the excuse. So I don't think I is actually leading to massive layoffs yet. But I think that almost inevitably will be the case, especially when it comes to knowledge work.
00;41;40;21 - 00;41;57;05
Nina Schick
So as a leader, it's more like, how do you build the team, what's your vision? What's your capability gap and what are you guys going to build in a world where the price of intelligence is zero? I think that's far more important than the latest tool that's come out, because those are going to evolve very quickly.
00;41;57;07 - 00;42;19;16
Geoff Nielson
Let's, let's stay on the workforce piece for a minute because there's there's so much interesting stuff to unpack there. And I, I, I love your perspective on the AI layoffs. And by the way, I completely agree with you. I think it's just sort of cover fire for where we are in the economic cycle, which is which sucks in some ways because I think it creates, a consumer and an employee backlash against AI looking.
00;42;19;16 - 00;42;55;08
Geoff Nielson
Yes. Oh, AI is the thing that's taking my job when it's not the, you know, it's that's just just an excuse. But there's a really interesting question, which is if these layoffs are happening because of the point in the economic cycle historically, well, then there's an upswing later in the economic cycle as it starts to rebound and we rehire, you know, a lot of this workforce that's been laid off, do you see that happening, or are you concerned that we're going to be in a world in the next few years where, as you said, the the price of intelligence is so close to zero that the workforce you'll need is completely different.
00;42;55;08 - 00;43;07;24
Geoff Nielson
And, you know, as you, you know, as you take out your crystal ball, is it is it fewer jobs? Is it different jobs? What's the impact going to be, and what do we need to do to be ready?
00;43;07;27 - 00;43;45;29
Nina Schick
Really difficult to say. But if we are heading to a world where the price of intelligence is going to be close to zero, right? This is what the whole infrastructure race is about. This is what, you know, some of the best minds in the world are building. They're not only building like an intelligence that's increasingly capable, but they're trying to make sure that that intelligence is cheap and abundant and can be applied into any industry or any use case, whether that's cracking, you know, the hardest problems of science or, you know, whether you want to use that to run, you know, your own a genetic workforce.
00;43;46;01 - 00;44;11;03
Nina Schick
It seems to me that the relationship between labor and capital is going to be pretty fundamentally transformed, right? If the price of intelligence could be zero. So I think, first of all, there's a huge need for people, there's a huge need for people on this build up. So who are you, a plumber? Are you an electrician?
00;44;11;06 - 00;44;30;22
Nina Schick
Do you have any kind of engineering expertise? I mean, part of the reason I moved from Europe to America was, well, my conviction that this is an interesting, the most important geopolitical race and that, you know, the US is kind of ground zero in the US is a contender in this race. So I want to be close to that.
00;44;30;29 - 00;44;55;00
Nina Schick
But I'm literally close to it because I'm in Texas, where part of this infrastructure buildout is actually happening. Why? Because you have cheap and abundant energy here, because it's easier to get the permits to kind of build this vast infrastructure, and there's not enough people. Right? That is a huge problem. There are not enough people. So if you're an engineer, you can build, you're an electrician.
00;44;55;00 - 00;45;19;16
Nina Schick
I think it was Google trying to train up 8000 electricians. You know, they just didn't have the right skills. And you similarly see that same story in the defense sector where you're thinking about building the next generation kind of defense capabilities, actually industrial capability, and that you just don't have the skills to build it. So it's a good time to be a certain type of employee.
00;45;19;19 - 00;45;46;07
Nina Schick
But broader than that, I think, yeah, I think what's going to happen, you already see it happening is that I even something that's going to be as rudimentary as an Lem is raising the floor. Right. So something that used to be good enough like isn't good enough anymore. You can't just get by with average if you want to be excellent, you can really be excellent.
00;45;46;07 - 00;46;08;25
Nina Schick
And you can use again. Perhaps the best manifestation of that is AI is a tool of scientific research to unlock some of the greatest mysteries in science that's human and machine together. So if you are somebody who's got this intense curiosity about understanding biology, or you want to build the best company, like why would you not use these capabilities, it's going to supercharge you.
00;46;08;25 - 00;46;31;11
Nina Schick
And yet, if you're somebody who's just been coasting, skating isn't maybe that good and you can be automated, I think you probably would be automated. So again, this and this comes back to this philosophical question I think about is I going to make us smarter or dumber? And in a way it's probably going to be both. So I think that will be felt throughout the labor market.
00;46;31;11 - 00;46;56;08
Nina Schick
And to say that it won't be or there'll be plenty of jobs for everyone, there'll be more jobs, maybe net net, there will be, you know, much more prosperity and more jobs, but there will be a period of disruption, no doubt. Which is why I think it's so important to become an asset owner. Right. And again, that's one of the things that's so different in the United States as opposed to Europe people.
00;46;56;10 - 00;47;32;16
Nina Schick
It's there's much more of a culture of investing in assets. And it's much easier to get a stake in these companies that are publicly traded, that are basically building this infrastructure, which I think is going to become the most valuable infrastructure in the world. So I think it's really important. At the same time that you think about jobs and automation and labor and capital, if you start thinking about becoming an asset owner and how do we distribute these vast potential economic gains, among society.
00;47;32;16 - 00;47;47;18
Nina Schick
And a part of that has to do with investing and financial literacy. You can't just be a world where you say, I'm going to survive and support myself and my family on the fruits of my labor because I just, you know, I think that's fundamentally going to change.
00;47;47;21 - 00;48;15;06
Geoff Nielson
There's there's an interesting tension there that that I want to ask you about and call out explicitly, which is on the one hand, we've got it feels like fewer, larger organizations that are yeah, you know, way out ahead on here. And then there's also the notion that for a lot of these organizations, aside from the physical build out because of the price of intelligence going down so rapidly, maybe they don't need to be as large as they were historically.
00;48;15;12 - 00;48;44;07
Geoff Nielson
And you mentioned that, you know, asset ownership and being able to, you know, especially in America, but in everywhere, I think sort of increase your abilities as a laborer is becoming important, too. And so I'm curious, when you look at the economies of the future, do you see, do you see them being more diversified, more sort of fewer, like more entrepreneurial?
00;48;44;07 - 00;49;01;07
Geoff Nielson
I guess I can call it, you know, people in this world of close to free intelligence, does that lead to a need for more creative types, more entrepreneurs, more smaller businesses, or does it is it winner take all and you know, it'll be completely concentrated.
00;49;01;09 - 00;49;31;27
Nina Schick
I don't think it's winner take all. I think the biomass will obviously be extremely powerful because they run the infrastructure and the capability. For this most valuable utility. And you can do more with less. However, and again, this is something that I've experienced in my own life in a very dramatic way. When you think about the forbearers of AI and everything that's happening now, if you go back to the internet and the information age, I'm half Nepali.
00;49;31;29 - 00;49;56;14
Nina Schick
I grew up in Nepal. My mother, you know, grew up in a village where there was like no electricity, no access to infrastructure, pretty much lived a life that Himalayan mountain farmers had been living for centuries, hundreds and hundreds of years. Yet in one generation, right? My generation, we were the first children of the internet. Everything changed. Everything changed.
00;49;56;14 - 00;50;23;09
Nina Schick
The entire society changed. Economic opportunity changed, the entire culture, cultural fabric of of my country was transformed thanks to the age of information. So you have lots of entrepreneurs, lots of young people creating their own businesses, lots of people using it as a way to access opportunity and education, which is completely unprecedented, right? Didn't even exist 30, 40 years ago.
00;50;23;12 - 00;50;54;11
Nina Schick
180, in a single generation. So you see how this technology, when it's widely dispersed, is also this tool of empowerment. But yes, societal upheaval and disruption. And I think it really depends on your perspective. Ultimately, then, are you coming at it from the perspective where you think, well, I want to go into a company, I want a job for life, I want security, and I don't want any disruption.
00;50;54;11 - 00;51;23;02
Nina Schick
Well, probably I'd say that type of world is going to become far less likely. Whereas if you're an entrepreneur, you want to build for yourself. You're creative. And also you're willing to take some risks. I think those type of people might be rewarded far more handsomely. So even now when you look at these big corporations that are doing layoffs, yeah, I think it's inevitable, you know, as they streamlined and became more efficient.
00;51;23;02 - 00;52;13;22
Nina Schick
And yes, intelligence becomes like a software. You get intelligence, intelligent, automated agents working within organizations are is there going to be headcount loss? Yes. However, as an individual, as an entrepreneur, can you use those same capabilities for yourself also? Yes. So it's both sides. But I think this idea that, you know, everybody goes and then this touches on super philosophical themes about education and standardized testing and intelligence itself, you know, are you what's the point of putting your children through this rigorous system of education, which is all about achievement in standardized tests to get those jobs which were so lucrative and sought after for the past few decades, like being a lawyer or a
00;52;13;22 - 00;52;38;08
Nina Schick
banker or getting a job in a big tech company. If there's going to be less and less of those jobs, more competition for those jobs, and you're actually competing against, non-biological intelligence, you know, I think people will start working differently. They'll have to become more entrepreneurial. And part of that will also be driven by need and opportunity.
00;52;38;10 - 00;52;50;11
Geoff Nielson
What are the most important skills do you think of the next two, five, ten years, maybe the duration of the 21st century?
00;52;50;13 - 00;52;53;26
Nina Schick
You know, I think.
00;52;53;28 - 00;53;45;15
Nina Schick
I'm a I'm a historian by training. I love history, I love politics, I love, you know, it just fascinates me to to just contemplate on how brief our stint as a species on this planet has really been. And then when you think about what's happening now with regards to the technology that we're creating, what a radical departure point this is, I think that perspective, again, of what human nature really is, how history has gone through these periods of huge transformational change, and that society also changes with it, and it can be very dangerous and disruptive, but that you have this human spirit that is able to endure human ingenuity always comes through,
00;53;45;18 - 00;54;21;05
Nina Schick
that kind of makes me positive. So I guess an important skill is perspective. Read, understand history, believe and a real belief in, I think, human ingenuity and capability. And I would say also being able to take a risk is really important. So this idea that everything should always be the way that it's been and everything needs to be, you know, the sense of like fear and anxiety because things are changing and they are changing.
00;54;21;05 - 00;54;40;26
Nina Schick
We're not going to I don't think we're going to be able anyone's going to be able to stop that. Needs to you need to kind of grapple with that a little bit. I think you need to be able to, to, to deal with change and somehow be resilient and not lose.
00;54;40;29 - 00;55;06;09
Nina Schick
Your belief in humanity. And maybe that's why you could also become very mission driven. You know, to understand why. Actually, if you think about the best manifestations of this non-biological intelligence, how it has the potential to raise the barrier of human knowledge in a way that's just completely unprecedented historically, is it is so much cause for optimism.
00;55;06;09 - 00;55;37;10
Nina Schick
So I guess that's all to say. Don't be don't be too anxious. Don't be too scared. Be able to lean into some risk. And somehow be able to manage the inevitable reality that not everything is, is going to stay the same, that that change is happening and that change is natural, by the way, even when it comes down to the, you know, the very basic laws of physics, I think that mindset is probably really important.
00;55;37;13 - 00;56;07;00
Nina Schick
And the second thing I think is really important is being human, connecting, talking to people, actually seeing people in real life. So ironic because we're obviously doing this virtually, but that human connection is going to matter more than ever. Really. And, and you already see this now in business transactions, right? The most important currency is trust. How do you what are your values?
00;56;07;02 - 00;56;35;14
Nina Schick
How do you espouse those values in your organization and amongst the people you work with? And how do you maintain that trust amongst your peers, your colleagues, but also your clients? So I think that those are going to be the enduring features. It's being able to deal with change. It's being able to take a bit of risk, being resilience, staying optimistic and cultivating trust, being human.
00;56;35;16 - 00;56;40;09
Nina Schick
Leaning into that even more than than ever before.
00;56;40;12 - 00;56;48;25
Geoff Nielson
I love that, Nina. I wanted to say a big thank you for joining me today. This has been really, really interesting, really insightful. And, I super appreciate your perspective.
00;56;48;27 - 00;56;50;23
Nina Schick
Thank you so much.
00;56;50;26 - 00;57;16;09
Geoff Nielson
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The Next Industrial Revolution Is Already Here
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