In short
Paul Scharre argues U.S. military dominance is ending because drones, AI, and other technologies are rapidly proliferating from commercial sources, leveling the battlefield. He uses wars in Iran and Ukraine to show how low-cost, widely available systems can defeat larger powers, and he outlines what the U.S. must change to adapt—especially scaling drone production, improving defenses and persistent ISR, and accelerating AI adoption.
Guest backgrounds
Paul Scharre is executive vice president of the Center for a New American Security. He served as an Army Ranger in Iraq and Afghanistan and previously helped craft Pentagon policy on drones and autonomous weapon systems.
Key claims
Technology advantage based on “next stealth” is unlikely to persist; adoption speed matters more than frontier development. In Iran, the U.S. destroyed many targets but struggled operationally to find and neutralize mobile launchers and to secure the Strait of Hormuz. Drone transparency makes massing harder in Ukraine and likely in Taiwan.
Notable examples
Iran’s low-cost Shahed-style drones versus costly Patriot interceptors; Nagorno-Karabakh’s TB2 and loitering drones; Ukraine’s 4 million drones/year and drone-driven thinning of front lines; AI use via Palantir Maven Smart for target assessment and planning.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Shift in Military Dominance
0:45 to 2:30
Discussing the decline of U.S. military dominance and the impact of technology.
“The innovations that have in recent years transformed battlefields have also leveled the playing field between powers great and small.”
Lessons from Recent Conflicts
2:30 to 6:10
Examining the implications of the Iran and Ukraine wars on future warfare.
“It's pretty low-tech stuff that the real game-changer here is it's widely available to other countries.”
The Role of Drones in Modern Warfare
6:10 to 7:20
How drones are changing the battlefield dynamics and affecting warfare.
“Well, boy, there's a connection there to the conflict with Iran, where U.S.”
Challenges for U.S. Military Strategy
7:20 to 10:40
Exploring the challenges faced by the U.S. military in adapting to new technologies.
“coming from the air, lowering the cost of entry to air power, I think that's likely to persist across a wider range of conflicts.”
The Future of Military Technology
10:40 to 13:20
Discussing the future landscape of military technology and its implications.
“military should take away of, hey, we need to work on this.”
Insights from Nagorno-Karabakh
13:20 to 14:02
Analyzing the role of drones in the Nagorno-Karabakh conflict and its significance.
“The technologies of the future, drones, autonomy, AI, are coming out of the commercial space.”
The Impact of Military Technology in Modern Conflicts
14:02 to 28:47
Explore how low-cost drones and AI are reshaping military capabilities and strategies.
“and talk about that war a lot, and it gets very little attention in broader foreign policy discussions.”
The Impact of Military Technology in Modern Conflicts
29:08 to 29:18
Explore how low-cost drones and AI are reshaping military capabilities and strategies.
“That's foreignaffairs.com slash J-U-L-Y.”
Historical Lessons on Military Integration
29:18 to 33:33
Discover how historical military innovations influence modern strategy and technology use.
“You look at some of the history of this in the essay.”
Debate on Drone Strategy and Deterrence
33:33 to 41:25
Explore arguments surrounding drone technology's role in military deterrence and strategy.
“Well, yeah, I am interested in how you think of his argument.”
Show all 15 chapters
The Future of AI Warfare
41:25 to 42:00
Examine the evolution of AI in warfare and the need for regulation in autonomous weaponry.
“And all of a sudden, a transformation of the static kind of trench lines into some kind of very fast-moving Blitzkrieg-style maneuver warfare.”
The Evolution of AI in Warfare
42:00 to 45:26
Explore the advancements and challenges in AI warfare over the past few years.
“and politically, both sides are willing to endure a massive amount of costs.”
U.S. Military Policy on Autonomous Weapons
45:26 to 48:32
Understand the current U.S. military policies regarding autonomous weapons and their implications.
“Secretary General was speaking out against autonomous weapons, but that doesn't mean that's going to lead to actually changing what militaries do.”
Human Control Over Nuclear Weapons
48:32 to 52:35
Discuss the importance of maintaining human control over nuclear weapons amidst AI advancements.
“paralyzed because they don't know what to do.”
Bridging the Gap: AI and the Military
52:35 to 54:31
Delve into the challenges and opportunities of collaboration between AI companies and the military.
“They may not be supportive of military applications.”
Transcript
Automatic transcript. May contain errors.0:00I'm Dan Kurtz-Falen, and this is the Foreign Affairs Interview. Building U.S. military dominance based on the idea that there is some special technology that the U.S. has that adversaries do not have, that era is over. That is a huge paradigm shift from how the military has thought about military advantage for the last 40 years or so. The war in Iran pitted two of the world's mightiest militaries against one weakened by years of strikes, sanctions, and sabotage. And yet it was the smaller country that appears to have emerged with the advantage. In Ukraine, similarly, Russia expected an easy victory, only to be repeatedly thwarted by apparently outmatched Ukrainian forces.
0:42These outcomes may seem surprising, but Paul Shari argues that they should not be. The innovations that have in recent years transformed battlefields have also leveled the playing field between powers great and small. And as Shari wrote in a recent essay in Foreign Affairs, the U.S. military is unprepared for this new age of warfare in which drones, AI, and other emerging technologies undercut the dominance it has become used to. Shari, the executive vice president of the Center for a New American Security, served as an army ranger in Iraq and Afghanistan and then went on to craft Pentagon policy on drones and autonomous weapon systems.
1:15I spoke with him about what the wars in Iran and Ukraine should tell us about the future of warfare more generally, about what China is learning from those wars, and about what the United States must do to adapt.
1:32Paul, great to have you on the podcast and to have your essay called Losing the War of the Future in our latest issue. Thank you. Thanks for having me on the podcast and very excited to be in our latest issue. Yeah. You've been studying and earlier in your career crafting military policy and strategy around the role of technology, especially drones and AI. I think of you as the person who was pitching foreign affairs on these topics before it was cool. So you have credibility there. There's been a lot of hype about technology in the war in Iran. As you've watched that war since February 28th, what did you see as new, whether from the U.S., Israel, or Iran?
2:06To what extent did the role of autonomous weapons or any other technology make this a new way of war? Well, I think what's significant here is, you know, obviously we've seen drones and ballistic missiles play a huge role in the damage that Iran was able to unleash not just down the United States, U.S. bases, but also Israel, other countries in that region. But what's significant is it's not cutting-edge technology, right? It's not sophisticated stealth and other things. It's pretty low-tech stuff that the real game-changer here is it's widely available to other countries. It can be produced in large numbers at low cost, and the defenses are hard.
2:42The defenses are expensive for the U.S., and they're hard to defend against, and these low-cost attacks can cause really a lot of damage. So the changes about integrating technology that's existed for a long time rather than innovative breakthroughs that make new kinds of weapons possible. I think the real, you know, kind of maybe meta lesson here about the way the technology landscape is evolving is that technology is proliferating really rapidly and it is leveling the playing field between the U.S. and competitors. And so it's not that technology doesn't matter. technology is playing a significant role in changing how wars are fought in the conflict between the U.S.
3:21and Israel against Iran, or we're seeing unfolding in Ukraine, or Israel's operations in Gaza, or other conflicts that we've seen in the last couple of years, like in Nagorno Karabakh. But it is in some ways the opposite of how the U.S. military tends by default to think about technology, which is when the U.S. military thinks about technology, well, it's about what's the next stealth? Or how can we use high-energy lasers to shoot down things? Things that are really exquisite, hard to build, require a lot of investment. This is technology that's really piggybacking off of developments in the commercial space that are being weaponized, and they're widely available, and they're effective.
4:00And that's the challenging thing. People often draw the parallel between Ukraine thwarting Russian designs and Iran thwarting U.S. and Israeli designs. There's obviously implications there for Taiwan in the face of Chinese pressure or Chinese cross-strait invasion. Do you see the same dynamic at play in all of those theaters? Is that the kind of fundamental fact to appreciate about warfare now? Yeah, I mean, I think there's this like tension oftentimes in looking at conflicts of each, you know, conflict is unique in lots of ways, the terrain, the participants, the maybe political dynamics. But in order to understand how warfare is evolving, you do want to look at these through lines, So I think there are a lot of ways in which, for example, Ukraine has been able to be so successful in defending against Russia's attacks that have nothing to do with technology and have to do with morale and cohesion and non -material factors weighing heavily in Ukraine's favor in that conflict.
4:55the Russian military being very corrupt, relying on conscripts and other things. But the technological component that is significant, that I think is a through line here, and it's probably very relevant to a Taiwan fight, is that drones are making the battle space more transparent and therefore more lethal. So what we're seeing in Ukraine is it's really hard for either side, the Russians, Ukrainian, to mass forces for an attack because you're going to get seen. The drones can see you. And so there's no ability to mass forces for a surprise. And your forces are very vulnerable when they're massed.
5:30And so that's led to a condition where one, the front lines are pretty static. And drones are not the only factor there, but they are a factor contributing to make the front lines more static. It's harder to gain offensive advantage. But also we've seen that the front lines have thinned out quite a bit. And so the sort of concentration of troops, of infantry troops in trenches, has thinned considerably. And in many cases, if troops are advancing, what they're going to run into first is drones that are spotting them and then being used to swoop in and attack like infantry troops when they're advancing, in combination with things like fortified defensive positions and minefields, for example.
6:09So it's not just drones that are playing a role here, but they are playing a significant role. Well, boy, there's a connection there to the conflict with Iran, where U.S. bases in the region now are awfully vulnerable to attacks from Iranian drones and ballistic missile launchers. And I think we're likely to see that. We've seen that in past conflicts, like in Nagorno-Karabakh. I think we're likely to see a similar dynamic in, for example, a fight between the U.S. and China over Taiwan. It might be different drones. It might not be those small quadcopters. Those aren't going to be quite as relevant in like an air and sea battle over longer distances.
6:43But this dynamic of - Small quadcopter basically being like the kind of drone that if I wanted to, you know, buy my own drone and use it in the backyard, that's what I'd be using. Right, right. And so like a lot of the drones that Ukraine is using, for example, are like these do-it-yourself small quadcopters cobbled together with parts from 3D printers and things they're buying, you know, from China, you know, electric motors and things are building these. Like that's not going to be used to, that's okay if you're attacking an infantry soldier. on relatively short distances, that's not what you're going to use to fly across this Taiwan Strait and sink a Chinese amphibious ship.
7:15That's not going to do it. But that same dynamic of drones making it harder to hide, of making greater threats coming from the air, lowering the cost of entry to air power, I think that's likely to persist across a wider range of conflicts. The point about lethality does not seem to have held in the Iran case, just given there There were obviously American service members killed and a certain number of casualties among Iranian troops and also civilians, including some pretty awful strikes early in the war. But on the whole, it does not seem to have been an especially lethal conflict given just how many, you know, airstrikes there were and how kinetic it was.
7:53Yeah, I mean, the U.S. didn't suffer a lot of casualties. Now, in terms of equipment loss, the U.S. has a significant number of pretty expensive aircraft lost on the ground, which I think is a pretty significant development, a lot of which were to ballistic missile attacks. But I think it's a big sea change from, you know, say, like the Persian Gulf War. And we've seen how the technology has evolved since then, where the U.S. has been investing in ballistic missile defenses, but other countries have been investing in ballistic missiles. and the trend there has really favored the offense. The U.S.
8:27lost five KC, a Stratotanker aircraft on the ground, Tanker aircraft, an E3 on the ground that was destroyed, a surveillance aircraft, like really expensive. So, you know, that equation on the material side was pretty unfavorable to the United States. And the cost exchange ratio between intercepting these drones is really unfavorable to the U.S. So Shahed drone cost, by some estimates,$35 ,000. By others, as low as$7 ,000 to make for the Iranians. The U.S. was shooting now with Patriot missiles that cost$4 million apiece. Now, obviously, the U.S. needs lower-cost interceptors, but it's still going to be a different kind of game than the U.S.
9:08has been playing, one where building lots of cheap things is going to be an important part of being effective on the battlefield. That observation does make me wonder about a point that's become almost de rigueur in American discussions of the war in Iran, even when it's from someone lamenting the war as a strategic calamity. You know, it's this idea that the U.S. military performed wonderfully despite the strategic loss given in an air force that didn't control the airspace and the Navy did not control the Strait of Hormuz bases in the region were left vulnerable. And does that point about the U.S.
9:40military's performance really, really hold up? Or are there harder lessons here in some ways? I think there are harder lessons. I mean, I think it's easy to pat yourself on the back here. I mean, the U.S. was good at destroying things in Iran. But when you try to link that to not even just political objectives, but like clear operational objectives, I think there were a couple of areas where you could see that U.S. military descent in an operational sense came up short for what we're looking for. One was, as the conflict devolved over time into something that looks more like an attrition war between the U.S.
10:10ability to find and attrit Iranian mobile missile launchers and mobile drone launchers versus Iran's ability to launch those and destroy things in U.S. bases, you know, the U.S. didn't decisively win that. Now, the numbers of Iranian missiles and drones launched over time went down, but they didn't stop. The U.S. wasn't able to actually, like, find all these things. They're really hard targets. So that's like an operational problem that the U.S. didn't come out in a way that was clearly dominant and is, I think, a problem the U.S. military should take away of, hey, we need to work on this. We need to find ways to better defend against these ballistic missiles and drones.
10:49And we need to have better ways of having persistent intelligence surveillance and reconnaissance coverage to find and track these mobile targets and hit them very quickly. Then there's the Strait of Hormuz problem, which clearly the U.S. military has not been able to solve, but forcibly need to be able to open the Strait of Hormuz and protect international shipping from Iranian attacks, which is kind of the ultimate operational problem the U.S. military has to be able to do if the U.S. can't guarantee safe passage through international waterways. That fundamentally threatens the role that the U.S.
11:21has as a guarantor of international stability. That does take me to the warning that you make in the piece. You write, the current age will not afford the United States an advantage in the technologies that are now transforming warfare, especially drones and artificial intelligence. Why not? And how much of that is inherent in these technologies? How much of it is about specific failures by U.S. policymakers and military leaders to really integrate them in the way they need to? Yeah, I mean, I think, look, I think there's a narrow tactical lesson that one could take from the war in Iran and conflicts in Ukraine and some of the others that I mentioned, which is, hey, we need more low-cost drones and we need ways to shoot down low-cost drones.
12:01I don't think that's actually super contentious. People are up over that idea. What I'm suggesting is there's a bigger lesson here, which is building U.S. military dominance based on the idea that there is some special technology that the U.S. has that adversaries do not have. That era is over. That is a huge paradigm shift from how the military has thought about military advantage for the last 40 years or so, where the U.S. military made investments in the sort of first wave of information technologies in the 60s and 70s that then bore fruit that we saw really in a dramatic fashion in the Persian Gulf War in 91 in GPS, stealth, precision-guided weapons, computers and networks, and that the U.S.
12:47military has continued to build on. And the way that the US Defense Enterprise broadly thinks about technology is still in this vein of, well, what's the next stealth going to be? What's the special technology that we're going to invest in and we're going to have advantage over others? Even the way this military talks about AI is this way. We're going to invest in AI and we're going to get a hold of it and we're going to have the AI and we'll have better AI than China does and we'll stay ahead of others. And my message is that's not going to happen. And we need to accept that reality because it's not that we don't want it to happen, but the technology playing field is very level right now.
13:22The technologies of the future, drones, autonomy, AI, are coming out of the commercial space. They're global. They proliferate very, very rapidly, in many cases within a matter of months. We see AI models proliferating to China, and then they go open source and available to anywhere in the world. And so staking your military dominance on a technology advantage that you have that others don't have is not going to work. We need to think differently about military advantage on the battlefield to maintain the leadership of the world's strongest military. I want to pick up on exactly what it will take to do that.
13:56But let me actually go back. I mean, you talked about conflicts that you've been watching closely. You mentioned Nagorno-Karabakh. I'm struck that people like you who are paying attention to military technology and doctrine and talk about that war a lot, and it gets very little attention in broader foreign policy discussions. What was so striking to you about Nagorno-Karabakh? I think what was so striking what we saw in Nagorno-Karabakh in 2020 was this was a place where using these sort of low-cost drones, the Turkish TB2 drone and some loitering missions like the Israeli Harap drone played a really significant role in allowing Azerbaijan to get a dominant advantage over Armenian forces.
14:37One way to think about this is it lowered the cost of entry to air power. So it allowed them to fuel air power to find and strike Armenian targets on the ground and a much lower cost than if they had to build a sort of traditional air force using crude fighter aircraft. And we've seen that trend persist, I think, now in other conflicts as well, where drones are, it's not that a cheap drone is as effective as an F-35. It's that, hey, I can do things with a cheap drone at much lower cost. And that's going to create a lot of opportunity for smaller countries, middle powers, even non-state groups.
15:15So if we go back to the struggles or the failures of the U.S. military to adequately adapt to this new era and integrate these technologies, there are a couple of pieces of it that you really focus on. The first, relevant when it comes to low-cost drones is just producing enough and quickly enough. You note in the piece that the current leadership of the Pentagon, of the Defense Department, the Department of War, as they call it, is, quote, willing to break the mold. And it certainly has made, you know, a lot of noise in ways both good and bad about willing to, you know, disrupt process and throw out process.
15:49What are the opportunities for real step change here when it comes to the failure of the United States just build enough of what it needs? So the numbers here are kind of staggering. Ukraine is reportedly producing about 4 million drones a year. The U.S. Army is, according to public information, procuring about 50 ,000 drones a year. Now, it's been a priority for Pentagon leaders in not just this administration, but the last administration, to scale a production of low-cost, attritable, sometimes they're called attritable systems, basically things that are cheap enough that it's okay if I lose them in various forms, at sea, in the air.
16:24You lose an F-35 or an aircraft carrier, it's billions and billions of dollars a year. Right, right. But aircraft carrier are definitely not attributable, right? So things that might, they might be recoverable. It might be a drone that can fly and take off and land. But we might treat them more like you treat missiles and bombs as expendable assets. And we've really struggled. I mean, the defense enterprise has really struggled to do this, to scale up production in large numbers. The last team, the Biden team, had this thing called the Replicator Initiative to try to do this very quickly. So the current Pentagon leadership has set really ambitious goals.
17:00They said they want to be able to produce a million drones by 2028. I'm not sure that they'll get there. I think the goal is right because there's no reason why we shouldn't be able to do this. We're a bigger country than Ukraine. We should be able to scale production. We are not facing the problem of having to fight a war on our own territory. The real problem is just a lack of desire. It's a willingness on the part of the U.S. government to be willing to spend the money to, you know, break the China, to be able to cut through red tape. I'm very excited by the fact that this leadership team in the Pentagon is willing to do things differently.
17:35And they've made very clear that they're willing to shortcut bureaucratic processes and cut red tape to do this. But, you know, to get there, we're going to have to see consistent funding. It's going to have to be ambitious. Congress is going to be on board, too, here. We're going to be able to send signals to industry that the money is going to be there. Because when industry scales up production or scales up their supply chains, if they don't believe the money is going to be there, they're not going to take that leap. What, if you look to that 2028 goal, what worries you most when it comes to the likelihood of failure?
18:06Like if we don't get there, what will have caused that shortcoming? I think the biggest risk, the biggest sort of most likely failure mode would be that the administration and Congress together are not able to signal to industry the committed long-term multi-year funding that would allow a drone producer to say, okay, I'm going to scale up my production. I'm going to take that cost on and capital expenditures, which has to downflow, not just to the company you're buying them from, but to people in the supply chain, because they're going to say, okay, you know, what's the holdup? The holdup is maybe there's an electric motor that I need and I want to source it from a U.S.
18:43company instead of China. But to get the scale that I need, I've got to be able to tell the supplier a couple of lines on the supply chain. They've got to make investments to scale up production. And that money's got to be there because there's not a natural market that someone's going to make a bet and say, oh, there's a commercial market for this. Like there's not. It's just the military. And then I think if we're not able to show that committed multi-year funding, then no one's going to stick their neck out on the road. What about on the AI side of this? Where do you see the U.S. military, depending on getting things right, starting to move in the right direction, and where do you see not enough movement or the wrong kind of movement?
19:17I mean, I think the number one thing that the military has been doing right now is they just put AI models in the hands of people. The Gen AI, that middle deployment across the defense enterprise, putting large language models on people's desktops, the deployment of a couple of large language models into classified networks, integrated into Palantir's maybe smart system, for example. Like those steps are the key sort of zero to one transformation of just getting it in people's hands. Now, there's a longer term challenge. It's harder of what do I do with AI? How do I use a large language? Well, actually, everyone is trying to figure that out now.
19:53And you see this in all parts of the economy where companies are trying to figure out how do I adopt AI effectively? How do I actually use it to increase productivity instead of just spending a lot of money on AI tokens, maybe for like little value? That's really important. I think that's going to be a difficult cultural and organizational challenge to overcome. Like, how do you put the right incentives in place for people to take risks and try things with AI? Maybe it doesn't work. You know, it's kind of a risk-a-lose culture within the defense ecosystem. But the starting point is just putting the models in people's hands.
20:25And I think they're actually doing a great job of that. And there's more room to do in terms of getting sort of like, you really want a diversity of models available across all levels of unclassed and classified networks. but I think this team's really moving out in the right direction there. Where do you see it as especially valuable? I mean, obviously there are lots of parts of the Pentagon where it's going to help with whatever filing expense reports and doing contracts and everything else. But when it comes to real warfighting, where do you see AI as especially useful? I think there's a couple areas that are low-hanging fruit that are really easy right now that AI can just do today.
21:00One is anything that involves coding, that involves software engineering, AI is exceptionally good at. We really shouldn't have people writing code anymore. We should have the AI writing code. That code could be a little bit buggy, but you could have AI cleaned it up. AI is actually really good at that too. And so that has a lot of implications for anything that's in the development space on the defense side in terms of design and production. Certainly in cybersecurity, a lot of interest around the capabilities that we're seeing out of cutting edge AI models like Anthropics Mythos and models from other companies as well.
21:34being used to find and exploit or patch vulnerabilities in software. And so the sort of use of AI in cyber operations is probably the most mature thing right now, in part because it's really good at software development, but it's also a native digital environment. Whereas to deploy AI out into physical assets, you've got to get it onto some platform and then get it on the real world. And that's going to happen. It is just slower. There's a lot more things that get in the way. How much was AI actually used, as far as you understand it, in targeting or planning or anything else in Iran? There's been some hype about this, but it's a little hard to know what that actually looks like.
22:14Yeah, I mean, so I think we know that large language models were used in operations, just multi-conducted against Venezuela and against Iran. With Iran in particular, large language models were integrated through Palantra's Maven Smart System, which was used to do operational planning, to assess targets, to help the Maven Spar System more broadly, integrates information coming from a bunch of different intelligence sources. So it's all in one place. That's really valuable in a dynamic battlefield environment where you've got, you know, say a couple days, a week into that war. Now, a lot of the targets have already been struck.
22:53The U.S. struck 13 ,000 targets total over the course of the 39-day campaign. So the U.S. is hitting a whole bunch of targets. A lot of the Iranian targets, both the radars and missile launchers and drone launchers, but also people are moving around and are being hard to find. And Intel's coming in from different sources. Large language models are useful to help people parse through a lot of that data very quickly. And so, you know, if you maybe have hundreds of different pieces of information, that's slow for a human to parse all that and try to make sense of it. You could dump all of that data into a large language model.
23:29It's actually really great at then sifting and organizing it or finding connections, provided that the thing that you want the language model to do is a pretty straightforward task. Maybe the kind of thing that you could give an intern or a pretty junior level person, and it's pretty formulaic, and you could tell them, line these things up or prioritize them according to some criteria, and it might just take a human a long time to do it, have an army of people to throw at it. The language model could do that very quickly. I don't think it's, you know, the case necessarily that if you had removed AI, like I think about the counterfactual, there was no AI involved.
Read the full transcript
24:04Would we have seen a fundamentally different conflict? Probably not. Maybe a somewhat slower tempo of operations on the U.S. side, slower ability to strike emerging targets. There were certainly instances where the U.S. was like rerouting planes in flight to new targets that were emerging. We might have still seen that without a bit maybe less of that or less effective. So I would sort of think about it as kind of like we're at the biplane days of AI playing a role in warfare. Very early, but a lot of promise for where this might go down the road. I was struck by a line in your piece about periods of disruptive technological change when you say that what determines a military's relative success is how well it employs new technology.
24:46not necessarily being at the forefront of that technology, but as you pointed out, in the AI case, catch-up happens pretty quickly. That does seem to kind of map onto these debates about Chinese priorities in AI development versus American priorities, the priorities of the big American labs, at least, which are really focused on being at the frontier and being first to AGI or superintelligence or whatever. Do you think that the Chinese focus here is actually the right one when it comes at least to the military applications? Yeah, I think probably that's right, that for the military, AI adoption will matter more than AI development.
25:21And I think this is an important asymmetry between how the frontier AI labs, how Anthropic and OpenAI and Google DeepMind are thinking about AI versus how the military ought to be thinking about it. So for the frontier labs, they see themselves, and this may turn out to not be correct, but I think there's valid reasons why they believe this, in a winner-take-all or largely winner-take-all dynamic to gobble up market share for AI. And the reality is that we've seen in the last 20 years or so that there are a lot of digital technologies that have natural monopolies and there's room for one or maybe just a handful of players.
25:58That's true in social media, in operating systems, in handsets, in search, for example. There's like one company, Google, that dominates search. Lots of other companies have tried. It's hard to break into. There are these network effects that often happen for a lot of digital technologies. So for a lot of these companies, they're anticipating that AI will turn out to be similar and there will be like one company that everyone goes to for their AI. Or maybe there's like two, maybe max three players in the mix. That's true today, actually, for Frontier Labs. It's not actually true. Like if you just go like six months behind, maybe, then the model space explodes and you've got a whole bunch of Chinese open source models that are in the mix, and it widens considerably.
26:41I think it's very much an open question what that looks like for AI models. But I would say for the military, that's just not going to be the case, in part because our competitors are going to not rely on American technology. And so we're not going to be able to sort of like rely on, even if there is one US company that controls a big portion of global market share, that's not going to give the US an advantage the same way that like That being true for search means that the Chinese military can't access search technology. There are Chinese competitors in the search space. And so what's going to matter much more is how do you adopt this technology, how to use it?
27:16Or to maybe put this a little bit simpler, if the leading U.S. companies are three months ahead of the leading Chinese companies in AI development, but the U.S. military is five years behind the leading U.S. companies in AI adoption, it doesn't matter. That three-month lead negates to basically nothing. And then it's an adoption race between the U.S. and China of what do I do with AI? How do I use it effectively? We'll return to my conversation with Paul Shari after a short break.
28:06Paul Scharre:Thank you.
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29:18You look at some of the history of this in the essay. You talked about being in the biplane era of this at this particular moment. When you look to, you know, especially that period between World War I and World War II when tanks and airplanes and everything were being integrated in new ways. What determined which militaries were able to figure out how to best use those technologies? Was it idiosyncratic? Was it individual leaders? Was it something about systems? And what are the lessons of that history as you see it? Yeah, I think it's a great historical example here. You know, at the tail end of World War I, we'd seen tanks and airplanes introduced in fairly marginal ways, but everyone agreed in the aftermath, in the interwar period, that tanks and airplanes would play a big role in future wars.
30:00The question was, what do you do with them? And it wasn't obvious to people at the time. There were lots of debates about the roles of airplanes and tanks, the role of carrier aviation, for example. One striking example to me is that Britain was actually out first in terms of adopting carrier aviation, but fell behind Japan and the United States, not because their aircraft technology wasn't good, but because of internal bureaucratic and cultural squabbles within the British military about who controlled the technology and who gets to own these planes. And so those kind of mundane things about bureaucratic politics turn out to matter a lot because it creates incentives for who's willing to adopt this technology.
30:45I mean, I think we can see that today in the way that the different services think about drones, how that the Army and Navy and Air Force, for example, think about drones very differently, or even within parts of the services within the Navy, aviation versus surface versus undersea community, for example, how they think about robotic systems and uncrewed systems, often is driven by bureaucratic incentives. Is this taking away some power from some existing power center? You know, tanks are taking away from the cavalry, for example, or is it giving power to some community and enabling them? And you'd like to think that it should be strategic factors that dominate, but that's not always true.
31:25There are these bureaucratic factors that matter a lot. Is the Chinese military doing better than the U.S. military when it comes to integrating AI especially, but also in kind of adapting to new technologies more broadly? I wouldn't say that they're ahead today. I think the risk is that maybe they're hungrier, and the Chinese leadership is willing to, particularly at the political level, at Xi Jinping is willing to force change on, you know, the People's Liberation Army is not necessarily the most nimble and efficient organization. I mean, they're sclerotic and slow in their own ways, but that there is a sense of being the underdog of wanting to catch up and be willing to force hard cultural change from the Chinese Communist Party onto the Chinese military and get rid of people that are underperforming.
32:16And I worry that being on top for so long has led a sort of assumption within the U.S. defense enterprise of we'll always be the top dog. And, you know, look at how great we did in Iran and, you know, look at how great we did in Iraq and Afghanistan. And all these failures are political failures and they're not failures on the part of the military. And we'll always be ahead and we'll always have better technology or better ability to fight. And that may not be true, you know? And I worry about something like a Suez crisis moment for the United States ahead where we just run into a point where we actually can't perform and we fall short in a big way.
32:54And so I think that to get there requires an acknowledgement that U.S. technology leadership is not a birthright. U.S. military dominance is not a birthright. And we've got to take these challenges like what we've seen a country like Iran, which really shouldn't be able to do the things to U.S. military that it did, pose a lot of difficult challenges, and we've got to adapt to that. Yeah. I did think back to a piece that we ran late last year called America's Drone Delusion by Justin Bronk that made, I think, an argument that's certainly in tension with yours. These are not, obviously, these pieces are not point-counterpoint.
33:28And with apologies to Justin for doing this without him here to defend himself. Well, yeah, I am interested in how you think of his argument. The core of it was that he thinks that the kind of, you know, focus on large scale acquisition of drones or A-enabled drones does not meaningfully enhance deterrence against China. That's just kind of overreading the lessons of Ukraine and that, you know, in fact, China, as he argues, is spending more time prioritizing, you know, crude military hardware rather than unmanned systems. I'm curious how you react to his argument and how you see that difference.
34:01So I think there's a strong version of the drone argument that I'm sure some people make that I want to make clear to listeners I am actually not making, which is that all we need is cheap, low-cost drones. That's not what I think. I think there is a rule for expensive assets. There are things that large stealth bombers and submarines and aircraft carriers do that you can't replicate with drones. I think we need a balance across the force. And right now, the US is woefully underinvested in large numbers of low-cost systems. and we need to rectify that. You know, I think if the goal is, for example, deterrence against China, what is going to get you there?
34:36I think the answer is not like a revolutionary idea. It's getting to the place where Xi Jinping believes that an invasion will fail. And how do you get there? You have to demonstrate the ability to find and sink enough Chinese amphibious ships early enough in an invasion. And if you do that early and you can demonstrate to the Chinese that they're not going to be able to make an invasion succeed, then I think that that accomplishes deterrence. I think drones play a role in that. They're not the only thing that plays a role in that. Anti-ship cruise missiles and long-range bombers and submarines and mines all play a role in that.
35:16I think there's probably a role for drones there. And I think if you want to create this sort of, you know, hellscape is the term I've used over the Taiwan Straits, where anything that's at sea gets sunk, Drones actually have a lot that they can bring to bear in that environment. And we've seen across a number of different conflicts, a drone can create this transparency and lethality in a way that's cost effective that, like, you're not going to do with F-22s and F-35s. There's no way. Where are they based from? All right? They're not going to be able to be operating in that way. And so that's a potential solution or a piece of the solution to this operational problem the U.S.
35:50military is facing. And I suppose the Ukrainian success in using undersea drones or maybe surface drones, as well to sink Russia's Black Sea fleet, but just despite not having like a, you know, Ukrainian Navy that could compete with Russia is a lesson how to do that. Is that relevant here? Oh, absolutely. Absolutely. I mean, so if the argument is like, look, quadcopters are not going to do it. Yeah, absolutely. As we talked about earlier, it's not the right kind of drone. The better analogy here, you're right, I think is what Ukraine was able to do, for example, in crippling Russia's Black Sea fleet using relatively low cost.
36:23I mean, a few hundred thousand dollars for like a drone bow that was able to damage and in some cases sink some really expensive Russian warships. You know, you've got to balance that against a lot of these Russian warships, you know, not well maintained, not well crewed, don't have adequate defenses. Fair enough. But I think you could see the potential of these technologies. And that's a place where there's clearly a lot of opportunity. one way to think about this is technology sort of creating a design space that you can create these low-cost aerial drones or sea drones or undersea drones that are creating new operational opportunities to build things that are pretty cheap that are laden with explosives or sensors that can finally destroy things that are much more valuable and so you know not all the drones that you would want in the taiwan should necessarily aircraft some of them might be surface.
37:17Some of them might be at subsurface. Some of them might look more like missiles or mines. But I think there is an opportunity there with uncrewed systems to create a pretty deadly environment for the Chinese military. How do you assess the state of American deterrence in the Taiwan Strait? How close are we to being able to convince Xi Jinping or instill that doubt in Xi Jinping's mind? I mean, what I'm still hearing, I think it's probably others are from U.S. military leaders, is that doubt exists now, today, that U.S. deterrence is still effective. The question is, what does that look like over the coming years, over the next, say, two to five years, as the Chinese military continues to modernize?
37:52And how do we make sort of investments and, most importantly, make them on a quick timetable so that we can sustain that deterrence and ideally even strengthen it, right? So that rather than getting to a world where in the next couple of years, Xi Jinping thinks, well, maybe this would work, maybe the time is right, in fact, is confidence in the ability of the People's Liberation Army to execute a successful invasion goes down over time. But part of it, there's like a capability dimension to this, being able to demonstrate what the U.S. military could do. But the time dimension is critical, because if the U.S.
38:27military doesn't get there until 2040, that might be too late to need. How has the war in Iran affected that deterrence? Is it, you know, obviously the effect on stockpiles, kind of huge portions of American Patriot missiles and other interceptors are gone, and then some of the harder lessons that you were talking about earlier are surely the Chinese are studying. Does that undermine deterrence? Does that make the Chinese more confident in some ways? I mean, I think that the conflict with Iran has made the U.S. military look quite weak. And I think that, in fact, it's undermined a lot of the deterrent effect that had come out of the U.S.
39:01raid to grab Maduro and Venezuela, which was remarkable as an operational success. I mean, remarkable in every possible respect. And I think a lot of countries sit back and go like, that's crazy that the U.S. military could do that could waltz into a country, grab its leader and spear them away in the dead of the night in like 90 minutes. I mean, that's just unbelievable. And then for the U.S. to be floundering about still really in the Middle East against Iran to see U.S. bases under attack, the U.S. really unable to, I mean, sure, there's bombed targets, but unable to certainly coerce the Iranian leadership to compel them to some kind of even a negotiated settlement over the Strait of Hormuz.
39:41And we're still in this debate where on a daily basis, is the truth on, is it off, are we striking, are we not, do we have a deal? I think all of that makes the U.S. military look very weak. Never mind the discrete material problem of we've depleted a lot of our missile interceptors here. By one estimate, 50 % of the Patriot inventory, 50 to 80 % of the THAAD missile interceptor inventory, these are investments that are not only expensive, but it's going to take a long time to replenish that arsenal. And this is like the global arsenal that would be used in other conflicts as well. We've already known that in a conflict with China, we don't have enough munitions, both offensive and then defensive, like missile defense munitions, for a sustained conflict there.
40:28And we've already reduced that stockpile even further. So I think that all of that definitely undermines U.S. deterrence against China. We've talked about Ukraine a lot as a kind of model and source of innovation. As you look at the war in Ukraine, how do you see the battlefield dynamic there evolving? And, you know, I think there's an impression now that things have turned in Ukraine's favor on purpose of its ability to strike targets so deep inside of Russia. What is your read of that back and forth as each side has looked for new innovations in drone technology or ways of integrating drones?
40:59Yeah, I mean, I think like in a marginal sense, the momentum or perceived momentum perhaps has shifted in Ukraine's favor over the last several months. But I think that some of the dynamics you've seen over the last couple of years are unlikely to change. Of one, in an operational sense, the war being relatively static. I don't think we're going to be in a place, even if Ukraine starts maybe making small gains on the ground, we're not going to see like massive breakthroughs. And all of a sudden, a transformation of the static kind of trench lines into some kind of very fast-moving Blitzkrieg-style maneuver warfare.
41:35Like all of those reasons why it's been static would likely be the case. And at a political level, certainly Ukraine's ability to reach deep inside Russia and blow up things is, you know, better for Ukraine and demonstrate the cost to Russia. Putin's been willing to absorb a lot of costs. I don't think that's going to fundamentally change Putin's calculus. I think on both sides, both sides have settled in for several years now for a long war of attrition, both operationally on the battlefield and politically, both sides are willing to endure a massive amount of costs. And so I think absent some outside dynamic that's going to change things in a major way, I think we're likely to see the war continue to grind on for some time.
42:13Let's look a little bit farther into the future. I noted that you wrote a piece in Foreign Affairs two and a half years ago now called The Perilous Coming Age of AI Warfare. And you, at that time, said that the window to regulate autonomous weapons was closing fast and that quote, without limits, humanity risks barreling toward a future of dangerous machine-driven warfare, even then I think Ukraine had at least claimed to have fielded a fully autonomous weapon that could make, you know, really its own decisions about who to kill on the battlefield without a human in the loop. How much has that developed in the two and a half years since then?
42:46And how do you see both the U.S. and more global debates about putting the right kinds of constraints on autonomy when it comes to those lethal decisions. Yeah. On one level, I think the, um, we've seen over the last couple of years increases in the use of drones and the numbers of drones by other countries and other conflicts and sort of incremental growth and autonomy, I think was predictable to those who were looking at this. And I think it's kind of a long-term trend. I've been a little bit surprised by the way the war is unfolding in Ukraine in two dimensions. One, the scale of drone production is much, much higher than I would have imagined a few years ago, getting to the place where Ukraine is producing 4 million drones a year now.
43:25That's a lot more than I would have imagined Ukraine was capable of doing. On the autonomy side, it is candidly developed slower than I would have expected. Now, we have seen what Ukrainians refer to as sort of last mile autonomy, where basically a human is piloting a first-person drone, and then they lock onto a target, could be a human, could be a vehicle, and then the drone is able to carry that out for the last miles sort of metaphorically, anywhere from maybe like 500 meters to a kilometer, maybe more in the face of jamming. I would have expected that we see more autonomy given how much jamming there is on the front lines.
44:03I don't have a great reason actually why that hasn't occurred. I think the simplistic answer is maybe it's just not needed that both sides are able to get to the point where they can still find targets. And it's really just at the really terminal phase, is getting really up close that the jam is significant enough to not do that. The other reason, of course, is there is concern about fratricide. The front lines are static, but are to some extent a little bit porous, partly because they are so thinned out. And so both sides want to avoid situations, certainly Ukraine, at least, I should say, want to avoid situations where they end up targeting their own forces.
44:41And that's much harder for an AI. To get to the point where an AI could say, oh, that's a Ukrainian versus a Russian soldier, that's harder. It's a lot harder to do than simply saying like, that's a human. So we're not quite there. You know, on the one hand, the political discussions about AI more broadly in society are just heating up. What's AI going to do for our jobs and how do we deal with that? I do think regulating military aspects of AI is probably getting more challenging. You know, the idea that you're going to bring the US and Russia and China to the table to some verifiable treaty to ban autonomous weapons.
45:13It didn't seem realistic five years ago. It seems even less realistic these days. And so I think that getting to a place where there's political momentum actually achieves some kind of regulation over military ad is meaningful, seems hard. I saw recently the U.S. Secretary General was speaking out against autonomous weapons, but that doesn't mean that's going to lead to actually changing what militaries do. Where is U.S. military policy on this question now? And where, in your mind, if you were kind of put in charge of crafting this, what would you be doing? So on autonomous weapons specifically, There's been a policy in place since 2012.
45:48It was updated a few years ago. The Pentagon has said that they are in the process of launching a new review of that policy. That really is an internal review process that doesn't say the U.S. military can't build autonomous weapons. Basically says if the U.S. military were to build weapons that are different than what we've done in the past, they look different than, say, mines or some of the automated features on, like, air and missile defense systems that we already have, it had for decades, then they'd have to go through a more extensive review process to make sure not just that they're lawful but that they work properly like we're going to send these things out into the real world that they're not going to kill civilians or target our own forces for example personally i think those are sensible practical steps disclosure i was involved in writing the original policy back in 2012 so i do have some attachment to it i don't know where we'll end up on this needless to say in the wake of the sort of big, messy public breakup between the Pentagon and Anthropic earlier this year, there's been a lot more public scrutiny over how the military is using a lot more congressional scrutiny about what the rules are going to be and who sets those guardrails.
46:54You know, if the Pentagon were to sort of scrap the policy entirely and say our policy is, you know, unleash the killer robots, they might get a little bit of flack for that. I'm not sure how much this team would care. It doesn't mean they wouldn't do it. So I think, you know, in terms of outcomes, it could be anywhere from they have maybe renew the current policy with some slight updates. It doesn't restrict development of autonomous weapons, doesn't say you can't do it. Just kind of says, if we're going to do it, here's some ways to be thoughtful about it. Or they could say, we're going to, you know, press delete on this policy and it's anything goes.
47:26I think there's a lot of possibilities here. How scary does that get to you if it's anything goes? I mean, I'm not like, I worry more about in the broader sense, what happens if we see all sort of race to the bottom in terms of human control over warfare between not just the US, but also competitors. You know, I think the US military is inclined to act pretty responsibly. And even if you took the policy away, people are likely to be pretty thoughtful. The US military doesn't want weapons that they can't control. in some ways one of the motivations at the time behind this policy was in the absence of any policy what we were finding was people were just uncertain about what to do they were like can i build this am i allowed to build this having a process in place gives people a place to get a yes which is advantageous if you want to think about how do you make it possible for the u.s military to actually move forward with this technology so i'm actually not sure that like no policy is a good move, not just from a safety standpoint, but also from the standpoint of enabling the U.S.
48:30to seize the technology. You might get a place where people are kind of paralyzed because they don't know what to do. They're like, well, I mean, am I allowed to build this thing or not? I worry more about a sort of broader dynamic of surrendering human judgment to machines. I think in my mind, the risk is more insidious and gradual. We end up in a place 20, 30 years from now, when we kind of look back and we're like, wow, this is scary, a world where humans are no longer in control of warfare. The U.S. a few years ago said that it would keep a human in loop for decisions regarding the use of nuclear weapons and made that kind of public commitment.
49:04I don't think Russia or China or North Korea has. Do you worry about this undermining deterrence, causing even, you know, kind of mistaken use of nuclear weapons to go to one of the most, you know, alarming of those scenarios? Yeah, I mean, I was very encouraged to see that. I think that's a, that's kind of a low bar to clear, right? Hey, you know, while we're building the cover, let's make sure he's been in charge of nukes. It seems like a pretty reasonable argument to make. We haven't seen anything official out of the Chinese military. There had been a statement that had come out of a summit between President Biden and Xi Jinping during the Biden administration, where China had sort of also agreed to maintain human control over nuclear weapons.
49:47Well, fuzzy, what if anything that means? but it felt like maybe a half step in a positive direction. We've not seen anything like that from Russia. I mean, in a perfect world, I'd love to see something like a P-5 statement about the importance of human control over nuclear weapons. Again, that seems like a low bar to clear. On one level, you know, one might look at this and say, like, this is, who would even suggest otherwise? On the other hand, there are examples like the pro-nitor system that the Soviets had reportedly built and allegedly deployed in some fashion, and that according to some stories and reports by Russian generals, maybe Russia can just continue to have in some fashion an automated sort of like nuclear retaliatory system that would allow Russia to strike back if there was a first strike against where humans would still have to authorize this.
50:33And there'd still be technically a human in the loop, but it would automate a whole bunch of the processes. And I do think this is a place where like machines break. I mean, you know, like anybody who interacts with a computer knows they break all the time. They're doing weird things. Your Bluetooth is connecting to the wrong thing. I mean, like, if we're struggling to get basic technology in a place where it's foolproof for these really high-stakes applications, there's a lot of value in having humans still at not just one place, but like multiple steps to that process. I think that there's a lot of value that human judgment brings.
51:08You mentioned the blowup between Anthropik and the Pentagon. I mean, the role of private companies and their workforces on some level is another fascinating dimension of this. Do you imagine continuing friction between AI labs and the Pentagon as we try to hash out a responsible policy? Or has the government kind of asserted its power and that's where it's likely to stay? No, no. I think this is going to be a continued source of tension. I think it's unfortunate because in many ways it's a revival of the tension that we saw, you know, almost a decade ago when Google decided to discontinue their work on Project Maven.
51:39And we saw in response to that, like kind of a big existential panic from a lot of people in the national security space that they could get cut out of this transformative technology that was coming out of the commercial space. And that is what's fundamentally different about AI. In some ways, it's the opposite of stealth technology that was invented in defense labs. It doesn't really have a commercial application. This is coming out of commercial labs. And for these companies, the government is important insofar as the government has vast regulatory powers at its disposal to make their lives difficult, to put in place export controls or gum up the release of their models.
52:17We've seen the US government do this most recently with OpenAI and Anthropic in terms of some of the cyber capabilities of their models. But the government's not a big customer, the same way it is for defense companies. In fact, the government's a pretty marginal player in this space. We think of a total dollar amounts. And so, you know, a lot of the AI engineers, they're not coming from the national security space. They may not be supportive of military applications. They may not want to work on that. In the wake of the Maven dispute with Google several years ago, what we saw is the military leadership and defense leadership went on a listening tour among universities and tech companies, talking to people in the AI space, understanding their concerns.
52:58the outgrowth of that was the DoD AI ethics principles stating how the military would use AI in a responsible way. It wasn't putting in place limits on what the military was going to do, but it was communicating both externally and internally to the defense enterprise, sort of how are we going to approach this technology in a way that's thoughtful and responsible. And they want to kind of this bridge building, you know, kind of tour in a way that's opposite of the current approach, which has been, you know, kind of go nuclear on this, on both sides. I mean, that's certainly true. Pentagon leadership, I think also to some extent of people in the tech space.
53:35But, you know, we've seen letters from, it's not just anthropic, letters from employees, open letters at Google and OpenAI calling on not working with the military. That's a real problem. And I think we've got to find ways to bridge this divide between Washington in Silicon Valley, I mean, the government could forcibly compel U.S. companies to give up models using the Defense Production Act or some other kinds of authorities. That's not going to be effective in integrating the technology in a way that's effective. To do that, to actually use AI effectively, you've got to have a tight relationship with AI engineers who can sit side by side with people in the military to talk about, here's what it can do, here's what it can't do.
54:18Like, imagine if we were trying to build like advanced fighter jets and the engineers and the military were never able to talk to each other. Jets wouldn't fly very effectively. And so I think we've got to find ways to repair that relationship. Well, Paul, I'm glad we could end on a note that was not an accidental nuclear attack caused by a hallucinating AI. But thank you for doing this. There's a lot we will, I hope, pick up in the coming months and years in our pages from you and others. But thanks for the great piece. It's called Losing the War of the Future. And thanks again for joining me today.
54:48Thank you. Thanks for having me on the discussion and thanks for your support with this article. Very excited to take this out there.
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From the publisher
The war in Iran pitted two of the world’s mightiest militaries against one weakened by years of strikes, sanctions, and sabotage. And yet it was the smaller country that appears to have emerged with the advantage. In Ukraine, similarly, Russia expected an easy victory, only to be repeatedly thwarted by apparently outmatched Ukrainian forces. These outcomes may seem surprising. But Paul Scharre argues that they should not be. The innovations that have in recent years transformed battlefields have also leveled the playing field between powers great and small. And as Scharre wrote in a recent essay in Foreign Affairs, the U.S. military is unprepared for a new age of warfare in which drones, AI, and other emerging technologies undercut the dominance it has become used to.
Scharre, the executive vice president of the Center for a New American Security, served as an Army Ranger in Iraq and Afghanistan and then went on to craft Pentagon policy on drones and autonomous weapons systems. Dan Kurtz-Phelan spoke with him about what the wars in Iran and Ukraine should tell us about the future of warfare more generally, about what China is learning from those wars, and about what the United States must do to adapt.
You can find sources, transcripts, and more episodes of The Foreign Affairs Interview at https://www.foreignaffairs.com/podcasts/foreign-affairs-interview.
