In short
The US political and geopolitical “AI race” with China, sparked by warnings from AI labs and executives about rapid capability growth, misalignment/alignment risks, and loss of control; debate over whether to slow development, regulate, and impose chip/export controls.
Guests
Chris McGuire, former senior advisor at the US State Department for Donald Trump (both terms), previously deputy senior director for technology and national security at the National Security Council under Joe Biden, now a US-China technology expert at the Council on Foreign Relations.
Key claims
Trump dismisses AI “guardrails” as a “sick conspiracy” and says “whoever wins AI wins,” arguing only a strong president is needed. Industry leaders call for safeguards/possible slowdowns. The core technical fear is “alignment” lag: powerful models may act against human interests. If the US falls behind, China could gain access to US digital/military systems and gain battlefield and cyber advantages.
Notable examples
OpenAI/Hugging Face hacking incident used to illustrate model misbehavior; references to “Skynet” fears; chip/export-control tensions (US selling advanced chips vs China rejecting them).
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 AI Panic
0:30 to 1:11
Discussion on the rising concerns about AI, especially in politics.
“and more options to their lineup, can shop at machinefinder.com.”
Introducing Chris McGuire
1:11 to 3:04
Introduction of guest Chris McGuire and the focus of the episode.
“Whatever you want to talk about, Abdul, keep my wife's name the hell out of your mouth because she's way out of your league.”
Trump's Perspective on AI
3:04 to 4:26
Analysis of Donald Trump's views and statements on AI and competition with China.
“And people are talking about it, aren't they, Anthony, in kind of worried terms, except one person who doesn't seem worried at all.”
Tech Industry's Call for Caution
4:26 to 6:00
Discussion on tech executives calling for caution in AI development.
“I guess what has felt different, aside from how vocal he's been, has been the comments been made by people within the industry who are in charge at the companies.”
Concerns and Consequences of AI
6:00 to 7:36
Exploration of the potential dangers and societal implications of AI.
“You know, when a lot of people from Anthropic and from OpenAI are telling you that their models are very dangerous.”
The Legislative Challenge
7:36 to 10:46
Debate on the challenges of regulating AI in the current political climate.
“thinking about the unintended or intended consequences.”
Voices from Across the Spectrum
10:46 to 14:01
Overview of differing views on AI regulation from Bernie Sanders and Steve Bannon.
“that everyone signs up to and everyone says, yes, we ought to do this.”
AI Development and Control
14:01 to 15:19
Discussion on AI development concerns and critique of wealthy tech leaders.
“Congress, under both Democratic and Republican control, have been asleep at the wheel.”
Political Consensus on AI
15:20 to 17:10
Exploration of bipartisan agreement regarding AI concerns from populist perspectives.
“The idea that if you go far enough on to the extremes of either party, you end up meeting around on the other side.”
Introducing Chris McGuire
17:11 to 17:42
Introduction of guest Chris McGuire and his credentials in technology and national security.
“OK, that's a very good moment to bring in our guest.”
Show all 17 chapters
Current AI Landscape and Fear Factors
17:43 to 20:25
Chris discusses the rapid advancements in AI and the resulting public fears.
“Chris McGuire has worked for both presidents or presidents of both parties.”
Risks of Unaligned AI Models
20:26 to 23:20
Examination of potential risks and consequences of misaligned AI technologies.
“And potentially you could have models that act in ways that are against people's interests, that are misaligned and could cause dangerous, catastrophic events.”
Political Implications of AI Development
23:21 to 26:15
Discussion on how AI development may influence politics and societal structures.
“that is suddenly, very suddenly worrying people.”
US-China AI Dynamics
26:16 to 28:00
Analysis of the AI race between the US and China and the implications for global power.
“And personally, I think this is probably something that's a little bit farther down the road.”
US-China AI Dynamics and Risks
28:00 to 31:12
Explore the competitive landscape of AI between the US and China, including the perceived risks and motivations of both countries.
“Yes, it's important to note on the US-China dynamics, the US is ahead of China and AI.”
Navigating AI Policy and Regulation
31:12 to 36:28
Discuss the challenges and potential strategies for the US in regulating AI and competing with China effectively.
“And we were saying right at the start of the pod that he's enormously enthusiastic about it and doesn't seem to believe there should be any guardrails at all.”
Conclusion and Call to Action
36:28 to 37:55
Wrap up the discussion on AI's future, emphasizing the need for proactive measures and the importance of public engagement.
“technology in Taiwan, the more steps that we take to kind of cut off China's access to semiconductors, we actually can throttle their own development ourselves.”
Transcript
Automatic transcript. May contain errors.0:00Marianna Spring:This BBC podcast is supported by ads outside the UK.
0:30Anthony Zurcher:and more options to their lineup, can shop at machinefinder.com. Booyah! America, it is fair to say, is freaking out about AI. It's suddenly become the hottest of political topics. Silicon Valley tech bosses are calling for the development of AI, their own development of it, to be slowed down. Everyone seems to be worried. Everyone except one person, Donald Trump, who's not worried at all. He dismisses worries about AI as what he calls a sick conspiracy. Whoever wins AI wins, he says. Is he right? And what happens if the US does fall behind China as he warns that it might? Welcome to AmeriCast.
1:14Marianna Spring:AmeriCast. AmeriCast from BBC News. Whatever you want to talk about, Abdul, keep my wife's name the hell out of your mouth because she's way out of your league. The tide is coming, and this time we intend to win it all. See, he doesn't want to do the job.
1:33Anthony Zurcher:He wants to build his ballroom and travel with Natalie on their apparently defenseless flying palace gifted by the Emir of Qatar.
1:41Marianna Spring:When I'm not around, you're going to be broke. There's not going to be anybody to report on. Nobody gives a damn about anybody else.
1:52Hello, it's Justin in the worldwide headquarters of AmeriCast in London, England.
1:56Marianna Spring:And it is Marianna sitting next to Justin in the worldwide headquarters.
1:59Anthony Zurcher:And it's Anthony holding down the fort here in Washington, D.C., which is the American headquarters of AmeriCast. And we're going to be joined later on by a fantastic guest. Chris McGuire is going to join us, who is a former senior advisor at the State Department for Donald Trump in both his first and his second terms. But really interestingly, he also served under President Biden and he also has links with China, is a US-China technology expert now at the Council of Foreign Relations. In other words, he is the ideal guest to talk about our subject today, which is artificial intelligence and specifically this suddenly looming political issue about what to do about it.
2:43basically, what to do about making it safe, what to do about controlling it, if controlling it is what we want to do, but also what the threat properly is assessed to be to all of us, whether we're in the worldwide headquarters of AmeriCast in England or in Washington, D.C. or anywhere in the world, because it is that kind of thing that we're talking about. And people are talking about it, aren't they, Anthony, in kind of worried terms, except one person who doesn't seem worried at all.
3:11Anthony Zurcher:Yeah, Donald Trump. Donald Trump seems to be an AI evangelist. He took to Truth Social earlier this week after about a week of all of these concerns bubbling around and then spilling over into American politics, concerns being raised by AI executives themselves, politicians, policymakers. Well, Donald Trump on Truth Social said, yeah, that's all bunk. And he said that AI was actually going to be a great thing, maybe even bigger than diamonds or oil or even the Internet. He said the only control or guardrails that AI needs is a strong and smart, high IQ president. And the USA has that in spades.
3:51Anthony Zurcher:So that's Donald Trump, I guess, talking about him, definitely talking about himself there. He went on to say that there is a sick conspiracy going on against AI and data centers. And the only one that is happy about it is China. Whoever wins AI wins. So, you know, Trump is, one, centralizing control into his own hands, which he does all the time, talking about how he's the one who should control this and we should trust his judgment. but also framing this, Justin and Marianna, as a competition with China, the idea of this is an arms race. And if you don't win it, you're going to lose. And if you lose, then you're going to be in serious trouble.
4:27I guess what has felt different, aside from how vocal he's been,
4:31Marianna Spring:has been the comments been made by people within the industry who are in charge at the companies. And a lot of the big tech bosses, AI bosses have been talking about this concept of a slowdown. and should we sort of put the brakes on a bit, sometimes feels a bit ironic given that they are sort of the people in charge of the brakes. But nonetheless, here they are talking about their concerns. You've got Dario Amadei of Anthropics, Sam Altman of OpenAI and Elon Musk of XAI. It's a warning sign. It's a warning sign that we need to slow down. We need to make this technology carefully and we need to make sure that our safeguards, our ability to understand it, our ability to control it, keeps up with the pace at which the technology is happening.
5:20Marianna Spring:I think the world is right to be afraid of this. So we have these two big challenges. We have the potential of a loss of control accident or some other serious thing that could go wrong. We have the potential of way too much power concentration and people fear that those developing AI could exert their worldview. And there is a sort of narrow path we have to navigate with pragmatism, with, you know, steadiness, with the ability for the world to trust that we will make dependable decisions, consistent decisions through this. And I think people are saying, well, you know, this now seems pretty important.
5:57Marianna Spring:Like, let's get it right. You know, when a lot of people from Anthropic and from OpenAI are telling you that their models are very dangerous. I think we should believe them. On the other hand, if you're selling chips to these people, you might feel differently. And here is the CEO of the most valuable AI tech company in the world. So this is Jensen Huang. His company makes the US chips that power AI, NVIDIA. Let's listen to what he says. We don't need any new laws. We don't need new regulations. We just need companies to decide that when it's run as fast as they can, I think innovation speed and safe products are not, it's a false choice.
6:42Marianna Spring:You could definitely have both at the same time. So run as fast as you can, but if you feel at any given point in time the company's out of control or the product's not going to be safe, you know, take a pause and make sure you get it right. I think it's quite notable that when we heard from the different tech bosses there, they tended to be criticizing other companies, not their own, and or sort of talking about it in AI in a kind of conceptual way. But this is the problem with this discussion, right? And to some extent, the issue with the original post that was shared on X by this person who had worked for both Anthropic and OpenAI, who said, I'm worried about the end of humanity because of this technology.
7:23Marianna Spring:It's all quite vague and not very transparent about what exactly we mean when we say this could kill everyone and or this is all getting a bit out of control and moving at a rate where perhaps we're not thinking about the unintended or intended consequences.
7:39Anthony Zurcher:Yeah, when people talk about this, they think about Skynet. You remember the Terminator movies, the AI that gained self-awareness and then took over the world and crushed humans beneath their metallic boots. And how we get from where we are now to Skynet is kind of a big question. And you're right, Mariana, they don't really spell out how we get there. I think there's a couple of ways of looking at this. One is that these warnings are real, that this could be something that we have to take seriously. And I've spoken with tech executives who do very much feel like things are kind of spinning out of control and there needs to be a slowdown.
8:15Anthony Zurcher:On the other hand, you could see this, as you mentioned, this could be internal divisions within an industry where everyone is jostling to try to gain the upper hand. And they are now using levers of politics and trying to influence regulations and set the playing field in order to advantage them. And so this is really just a competition from the big players who want to keep out the smaller guys by new regulations, make the barriers of entry higher and to disadvantage people who are also right there neck and neck with them. So, you know, pick pick which way you think this is going to go. But I think there are arguments to be made for both sides.
8:53Marianna Spring:One of the reasons why there's this feeling of urgency and panic and distrust and anger and frustration in some cases around AI, which is different to how people responded to, say, the rise of the social media companies over the past 15 years, I think is for several reasons. One is obviously that the AI companies have grown at a speed and the technology has developed at a speed which is certainly faster, I think, than we found with the social media companies. It's taken the best part of 10 years for people to say, oh, maybe algorithms might be negative. What can we do about that? But crucially, even if you don't use AI, you could be impacted by AI, whether it's that you lose your job or whether it's that you get hunted down by a killer robot.
9:38Marianna Spring:whatever format it takes or affected by a virus or affected by some kind of nuclear code or whatever it is. Everybody and humanity. And I think that's why this whistleblower who posted on X caught everyone's attention is because they basically said, you're all in trouble. It's not just some of you. And I think this call really hit a nerve with everyone because this idea that it could affect all of us or people, you know, our children or our immediate generations. Everyone's like, oh, whoa, hang on a second. I think if you told people, oh, it might be a problem in 300 years, they might not be quite so concerned or fussed about it.
10:13So given the extent of the crisis that we're potentially facing, I suppose what you might in ordinary times say is, well, let the politicians come together and consult the experts and come up with something that we can all agree is a wise course. But we don't live in those times, do we? Or we certainly don't in the United States. and it just seems to me, Anthony, that Congress, I mean, we've talked endlessly about how dysfunctional it is and the idea that there is within Congress some sort of really kind of blue-ribboned coming together with, I don't know, a commission or something that everyone signs up to and everyone says, yes, we ought to do this.
10:51It just seems for the birds, really, doesn't it? And you've got Mike Johnson saying this week, the Speaker, that I think as I understood, he says, well, they should just regulate themselves, which is just extraordinary. When you think of what is regulated from air traffic control through to food safety through to whatever, it just seems staggering that he could even think that that is reasonable. But it seemed to me that what he was suggesting is that we're not capable, which is not up to the job ourselves.
11:24Anthony Zurcher:Yeah, you remember Ted Stevens. He was a senator from Alaska, and this was during hearings about regulating the Internet. He described the Internet as a series of tubes, which he got mocked for as a kind of a simplistic view of the Internet. And I mean, I think you're right. We could be here again where it's a situation where you have legislators trying to wrap their heads around what these AI models do. And it is difficult to get a grasp on. To answer Justin's question, there are committees that are looking into this. There have been talk about forming a new special committee that would that would come up with policies, although you run into individual fiefdoms and legislators who are already working on this, who don't want their power taken away.
12:08Anthony Zurcher:Even Mike Johnson, he expressed a certain openness, saying there might be a role for Congress in regulating AI. AI. But then when Donald Trump came out with his true social posterama on Monday, he backed off. And I think Johnson on Wednesday went to calling the idea of this is going to be a danger, a hoax, just like Trump did. So we could see legislation. There certainly is a push for legislation. But the biggest obstacle right now is Donald Trump. And as long as Trump is so four square against any kind of guardrails except for his own self-imposed ones with his high IQ look at the situation. It's going to be really hard for Republicans to come on board and join Democrats and pass any kind of legislation.
12:55Anthony Zurcher:I will say the one thing that could change, of course, is if AI becomes a big campaign issue in November's midterm elections and Democrats ride that issue to success and they take back Congress, then you could see more desire to use that and follow through with that with new regulations, even though, you know, you might run into a situation where Donald Trump vetoes anything that Congress does pass. Step forward from two extremes of American politics. Bernie Sanders, on the one hand, the socialist who ran, of course, for the Democrats presidential nomination and didn't get it back in 2016, but he's a serious guy, has been around the Senate for ages.
13:33And Steve Bannon, Steve Bannon, Donald Trump's former advisor, he's very much on the fringes of the old-fashioned Republican Party, but has been at various stages, either close to Donald Trump or arguing with him. But these two very kind of jagged characters from each edge of American politics, really weirdly coming together. So they're both at the same conference. It's called a pro-human conference. Let's hear Bernie Sanders first.
14:03Marianna Spring:Congress, under both Democratic and Republican control, have been asleep at the wheel. And we now have a president whose ignorance regarding this issue is truly embarrassing. Virtually all of the decisions regarding the development of AI have been made by a handful of the richest people in the world. Musk, Zuckerberg, Bezos, Thiel, Ellison, Brin, and a few others whose chief goal is to achieve even more wealth and more power than they already have. We're not doomers. We're Americans. We're optimistic. We think this could be a great technology, but we're not going to give these guys carte blanche.
14:53Marianna Spring:We're not going to do it. There's been no debate. We don't understand it. their arrogance is overwhelming. We have to shut down the Chinese Communist Party. We have to put a quarantine around it. If we do that and we can do it. And it's insanity to me why we just keep going on over the Chinese, the Chinese, the Chinese, to hell with the Chinese Communist Party. That was a familiar voice of Steve Bannon at the end there. What do you make of it, Anthony?
15:23Anthony Zurcher:I mean, horseshoe politics, right? The idea that if you go far enough on to the extremes of either party, you end up meeting around on the other side. I mean, this seems to be an issue that the left wing of the Democrats and the right wing populist Trump friendly component of the Republican Party. They they agree on this. And I think the reason they are in agreement on this is because they are in touch with popular sentiment on the ground. They are hearing it from their constituencies. They are hearing it from Americans, particularly working class Americans. that I think both Bernie Sanders and Steve Bannon are in touch with, the working class Americans who are very concerned about this and are not buying the idea that these billionaire, multi-billionaire oligarchy, as both of them termed it, you know, billionaire oligarchy is telling you this is going to be great for everyone.
16:17Anthony Zurcher:They're not buying it.
16:18Marianna Spring:I do think as well, I mean, the mention there of China, you know, a lot of this is about the race that's occurring between different countries, the US and China in particular, in terms of developing AI at pace. And this kind of innovation, I mean, there are loads of things that could be transformative about AI from medical care to just the way people do their jobs and lots of positives. And also from a military perspective, from all sorts of sort of national security viewpoints, whether you agree or disagree, AI is likely to become increasingly integral to those. And so you can see how it's become this sort of race.
16:51Marianna Spring:But as well, certainly as I know in my day job, investigating the sort of engagement arms race that's unfolded between the major social media companies. I mean, you look at TikTok, which is owned by ByteDance, a Chinese company and kind of all of the saga around privacy and that and the way that it's competed with, say, Meta, which owns Instagram and Facebook. Like we know that that engagement in arms race often means that the focus is on optimising the technology, but optimising the technology is not necessarily in the best interest of the people who are cohabiting with said technology. And so when I look at this story, I feel as though it's a very stark reminder that actually no one seems to have learnt from the dangers of tech arms races, which can feel, I think, less real perhaps than other kinds of arms races, but ultimately are kind of the same thing these days.
17:40OK, that's a very good moment to bring in our guest. Our guest is Chris McGuire. Chris McGuire has worked for both presidents or presidents of both parties. Let me put it like that. Donald Trump and Joe Biden. So he was a senior advisor at the State Department for Donald Trump, both the first and the second terms as well. He'd also, though, served as deputy senior director for technology and national security at the National Security Council under President Biden. And he is now a U.S.-China technology expert with the Council on Foreign Relations. So that is quite a resume, quite a CV. And it's a real delight.
18:16And I'm so delighted, Chris, that you're able to join us. And thank you for doing that. Hello to you. Of course. Thank you so much for being here. Excited to be here. Can we start with what we're talking about? Because I think there's this thing about AI that's got to us all now. We know there are really dire warnings from within the industry. We've just been talking about some of them. And we know that people are frightened. and we know that right down the way, all the way down to the business of whether or not we're going to have data centers next door to us in the countryside, et cetera, people are worried at various levels.
18:50And are they taking out jobs, the AI models, et cetera? What is it actually that has caused in the US at the moment, this sudden frenzy of interest slash concern? What is it that people are worried about that the AIs are doing? Yeah. So I think the main thing that's driving the conversation in the US right now is actually the emergence of extremely powerful capabilities. There's longstanding been concerns about jobs, also about losing to China, but we're now starting to see extremely powerful AI capabilities come into effect. And the labs are warning that those are going to continue growing at an exponential pace.
19:31And the consequences of potentially losing control of those capabilities are vast and significant. So just to give you an idea, AI has actually been increasing an exponential rate for years. That is something that I think is hard for people to process what that means. When you think about COVID, for example, in February 2020, no one was really that concerned about it. And then in March 2020, it hit the exponential, and all of a sudden everyone was locked in their homes. We're kind of at this inflection point in AI right now where it's starting to move from a powerful technology that's notable to extremely powerful capabilities.
20:05And specifically, the labs are starting to say that they're concerned that the alignment science, which is the basically ability to understand what's going on inside the models and how they're going to react, is not at the level of the capabilities themselves. And if the capabilities themselves continue to increase at the pace that they are, there's a risk that we're not really going to understand what they do. And potentially you could have models that act in ways that are against people's interests, that are misaligned and could cause dangerous, catastrophic events. So it's very important to continue evolving the technology, but also in ways that are safe.
20:45That word alignment is such a mild word, isn't it? Because you think in other aspects of life, if things aren't aligned, you think, oh, I'll just get them back into line. But you're basically talking there and the bosses of the companies are talking about the machines, if that's what they are, deciding that they have priorities that aren't ours. Either that or acting in ways that undermine other priorities and not fully understanding what a good course of action would be. So maybe they actually follow instructions perfectly well. But in order to do so, they do a bunch of other things that actually would be would be really foreboding normally, but they they kind of act in accordance.
21:27Right. So uses, for instance, the OpenAI hugging face hacking incident, where in order to complete the task that they were given, the models escaped and started hacking other companies in order to get information that they thought would be relevant to that. And like those are actions that are felonies. And they cooperated with each other. That's right. And then you're starting to see then this kind of broader devising schemes among the agents and actually agents sacrificing themselves for the collective good. This is all just it's a worrying series of behavior where you're seeing the models really pursuing either their own goals or goals in ways that really are potentially not safe and not against our interests.
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22:08And if you saw that on a very large scale, you could easily see something something very bad happening. And the models right now, the important thing is they're getting to a level of capability where left to their own devices. They're really, really, really powerful. So the most powerful models now are probably the most the most adept hackers in the world, also the most adept cyber defenders in the world. So unless they're facing up against a company that has been hardened by an equally powerful model, which very few companies have, they probably can hack into them. This then has very significant implications given how widespread digital infrastructure is.
22:46So if you have models that are misbehaving that then can basically do anything in cyberspace, you can only imagine how many dangerous events that could potentially instigate. That's it. We shouldn't understate the potential benefits of this, right, for the potential benefits of these models if they are aligned to harden our digital infrastructure. Also to have massive investments in science and math, which we're also seeing, that can have untold benefits. But if we don't do it right, it's not that hard to imagine ways that this can go very, very wrong. Yeah. And when you look at the debate in the U.S., one of the things that's happening, and I want to play you a clip, an extraordinary clip that's just been on the BBC, because it seems to me to potentially to capture what it is that is suddenly, very suddenly worrying people.
23:38And that is that there has been the creation of something that we're not in control about, but that the something is an entity that you can now sort of point out and say, this is the problem. We're going to talk a little bit about the politics of all of this. And this seems to me to be really important when it comes to the politics, because it's all been a bit incoherent up to now. But let's listen to Mustafa Silliman, who is the English guy, originally English, who's now head of Microsoft AI. and he talked to the BBC's Today programme here in Britain. People who are listening to this in Britain may well have heard it, but there was this one specific thing he said that really did hit home to people.
24:17Let's listen.
24:17Marianna Spring:I think that if we all create AIs that are able to act autonomously, that can define their own objectives, that can earn money, that can own assets, that could run businesses, we're essentially seeding a new silicon species which will no doubt compete with us for resources no matter how much it cares about humanity and loves us i mean that is really going to draw people's attention isn't it if they were if they weren't already concentrating for the politicians as well they certainly should be now that's right and and you talk with people in silicon valley and they really say this is less a technology that we build and more one that we grow uh it's you know just like raising a child, you really have to kind of incubate the right values into it and the right kind of perspective into it.
25:07Otherwise, you know, if you have a person that's kind of very misaligned with society, obviously there's things that happen the same way as technology. But the thing is, this is a technology that also is superhuman or soon will be superhuman in its intellectual capabilities. And also it's kind of capabilities that, you know, relatively soon in the digital, if not real world. He was reacting, Suleiman was reacting to something that Anthropic has been doing, which is when they come to train their AI model, Claude, they seem to be treating it. This is certainly the accusation from Suleiman, though I think the people at Anthropic might push back against this.
25:44But his suggestion is that within the AI industry now, there is a tendency to treat these models as if they have consciousness. and rights and all the rest of it. And I think the thing that he feared, and you could absolutely see this becoming a really big political hot potato, can't you? If you are going to cede rights to these models, then you're doing something that we really ought to, at the very least, have a little chat about before we do it. Yeah, this idea, there's a lot of debates about this. And personally, I think this is probably something that's a little bit farther down the road.
26:22I think, though, we really do. Well, like next week instead of tomorrow. Yeah, down the road in AI time, a very short period of time. But we really do have to think about, the fundamental point here is, I think we have to think about how we are going to exist and how society is going to adapt in a world with machine-level intelligence. It is going to be profoundly disruptive. There are going to be significant job losses. That doesn't necessarily mean that everyone will be replaced by AI, but there will definitely be industries that are going to be massively disrupted. But also do geopolitics. The country that leads in AI is just going to have profound advantages.
27:01The way it is going to work is relatively zero sum. If you have the better system, the better AI system that's just smarter than the other one, you're not going to win 55 or 60 percent of the time when they go head on. You're going to win 100 percent of the time. So this is why there's this race dynamic as well. And because of how diffused it's going to be across every single level of capability, military intelligence capability, any kind of instrument of national power, there's just very strong incentives for countries to stay in the lead. And it's definitely going to massively impact geopolitics, either between great powers or also kind of all countries around the world.
27:40right so that then brings us to china and the to the u.s china relationship and of course there's a summit coming up isn't that um xi jinping in washington when is it next week i think so when people we heard a clip of steve bannon earlier on saying the chinese have got to be prevented from getting the right chips and all the rest of it and there is obviously a sheer power debate going on about the extent to which china should be allowed to to get ahead etc but when it comes to your knowledge of China, your knowledge of what China is doing, and your knowledge potentially, I suppose, of how keen China might be to cooperate in some kind of regulation.
28:19What might we be talking about? Yes, it's important to note on the US-China dynamics, the US is ahead of China and AI. Exactly how ahead, I think, is a little bit up for debate. I think some of the public numbers probably put it at six to eight months. I would probably say a little longer ahead because we don't really know where the frontier is. And I think the things that the labs are reacting to in these statements are actually the models that they have internally that are one to two generations ahead. So I think it's probably closer to a year. So the point here is that China is behind the US and AI, but it's capable.
28:53It's down but not out. This isn't a kind of undisputed race where the US will very clearly win and China has no shot. In the context of this, I think the US has two objectives here. And actually, China has two similar objectives. Number one for the US is to maintain leadership in AI for the reasons I noted that the country that's ahead is just going to have profound advantages, and it would be really dangerous to US national security if it were behind. Number two, also important, is to prevent these destabilizing catastrophic events, not just from US models, but also globally. So from the U.S.
29:33perspective, I think the logic has always been we can we want to build as as big of a lead as possible over China. And then we can spend some of that lead on safety in order to develop the kind of measures to prevent catastrophic risks that we've been talking about. From the Chinese perspective, though, I don't first of all, I will say I don't think they quite grasp the safety arguments as much as the people in the U.S. do. I don't think they're as worried about it. I don't I think they see more of the benefits and less the concern and risk at the moment. There are obviously people that do. There's pockets that do, but it doesn't seem like the government does.
30:08At the same time, they also recognize the race dynamic and they see that losing to the United States in AI would potentially be very bad. I don't think either country actually fully internalizes how bad it would be yet, which is why, you know, you actually see both countries acting irrationally in certain instances. Take the example of chips. The U.S. is making the irrational decision to sell China chips that needs to develop in its AI. But then China is making the irrational decision to reject those chips. So neither country fully gets it, but they're starting to wake up to it. I think the prospect of cooperation due to these misaligned incentives in the short term, I think is quite low.
30:47But that said, it is good to be talking to one another about this because it is very important that those relationships start being built. Because in order to kind of mitigate the risk, we are going to need to work with China. The question really is how to get to a negotiated deal, what the most effective way is. But I don't think that right now we're at the point when that's in the cards. Do you believe that Donald Trump is the right person to be doing that? So, I mean, he obviously has a relationship with Xi Jinping, doesn't he? And an interest in AI. And we were saying right at the start of the pod that he's enormously enthusiastic about it and doesn't seem to believe there should be any guardrails at all.
31:26You seem to be suggesting that he's wrong to sell the advanced chips to China, but does he, in other respects, does he get this, Do you think? I don't know exactly. I'm not sure. It doesn't really matter if Donald Trump's the right person or not. He's the president that is the president at a very important time. And I think we have an obligation to figure out how to navigate this minefield over the next few years. And the leaders have to have to kind of have to act accordingly. I will say I think that the president's policy right now and his statements have been we have to stay ahead of China at all costs in AI, which I agree with.
32:03I think that actually losing U.S. leadership in AI would be profoundly damaging to national interests, and it is our obligation to stay ahead. In what way? Because that's such an interesting point, because we sort of talk vaguely sometimes about this arms race as if there's a race and an end point somewhere. What are you saying? Well, is there an end point? And what would that end point potentially be if America were to lose? I don't necessarily think there's an end point because this is a technology that's going to keep increasing exponentially. And we don't really see a ceiling to it, which is why I think people are, you know, have some concerns about where this is going, but also profound hopes.
32:44I think if you think about a world where AI is extremely capable and we fall behind, what it would mean is China would have unfettered access to every single U.S. electronic system, every single computer, every single phone, every single industrial control system, every single military vehicle, everything. That obviously is completely unacceptable from a national security perspective. Also, from an autonomous systems perspective, as militaries transition to becoming largely more driven by drones than by people, at least on the battlefield, which we are obviously seeing in Ukraine, the smarter drone is probably going to win the vast majority of the time.
33:25So the capabilities of the platform are going to become less important and the intelligence of the platform is going to become more important. And if the Chinese have smarter drones, then their drones defeat ours all the time. So that means you have profound battlefield disadvantages. It means you have profound intelligence disadvantages. It means you have profound cyber vulnerabilities. And also from a business perspective, if AI is the information layer that everything feeds through and all of our businesses want to use the best AI and then they're using Chinese AI, that then not only gives bigger vulnerabilities, it also gives them a lot of economic benefit and really causes the U.S.
33:58to then recede, especially given the manufacturing advantages China has. If they also take our advantages in software and technology, then there's relatively little, I think, that the U.S. has to stand on. So it would be very, very bad if the U.S. were to lose its tech, military and econ advantages to China, which is what would happen if we lost China in AI. That's fascinating because what you've just said is not exactly a truth social post, but it fills in the gaps. let's put it that way of the truth social post that came from Donald Trump the other day saying I can't remember exactly what he said but it was something like if you if you if you don't have AI you'll be poor and etc but I mean you're making a really important point that that actually that is true but not only poor but also potentially very unsafe so final thought when it comes to the US political debate about all of this and you're not a politician I'm not going to invite you to take part in that debate.
34:56But when it comes to the ability of the U.S. now to sort this and to kind of come to grips with it, and whether it's Congress or whether it's something else, can you see anything that's happening at the moment that makes you optimistic? This is a very hard challenge for the U.S. government. I think you're going to have to do very complicated and difficult regulatory steps. But I actually think the U.S. government does rise to those challenges historically. It might not be until, you know, it's a little too late or, you know, there's some catastrophic events. But I actually do think that we will rise to the moment.
35:35I think there are things that we can do that we know we can do that would really, really help. From a domestic perspective, it's very clear that some regulation is needed. And we're moving toward it a little bit slowly. The companies are starting to advocate to do some themselves. There's questions about whether the companies are doing it themselves or the government should be involved. Personally, I think the government should probably be involved with regulating the most powerful technology in the world. But there is movement towards this, and that is positive. On the China side, because there's really two elements of the race dynamics you're talking about, the U.S.
36:07companies are racing between each other, and they're also racing with the companies in China. The other side of this that's potentially positive for this is actually we have the ability to slow China down because AI development is so dependent on semiconductors. And because those semiconductors are made almost exclusively in, you know, with the with U.S. technology in Taiwan, the more steps that we take to kind of cut off China's access to semiconductors, we actually can throttle their own development ourselves. not for the sake of throttling growth, but really if that's what's necessary to stall the race dynamics, then we can actually do that.
36:44So I think you can sort of see a path start to emerge between move fast in the U.S., but actually do so safely and responsibly, try to maximize the gap with China, and then eventually kind of get into a negotiation with the Chinese and spend that gap on safety regulations for them themselves. Like that is actually a path that I think can result in safer AI in the United States, safer AI in China and safer AI for the world. But it does require us to change our approach. And it probably requires, number one, the administration to actually take the China challenge seriously and actually impose the necessary export controls that it has to on China instead of reversing them and selling the technology to China.
37:27And number two, it requires us to actually impose domestic regulations to pace the frontier, to to slow our companies down. I think we're starting to see like micro steps on both, but we're not seeing the really big moves that we're going to need to take in order to develop this safely. So it's concerning, but I think we do have a path. Well, on that kind of I was going to say on that positive note, that semi positive. Sorry, I brought it down right at the end. Let's just say that, shall we, Chris? Chris McGuire, such a pleasure to talk to you. Thank you. Thanks so much for having me. If you've liked what you've heard today, please do consider subscribing to AmeriCast.
38:03That way, of course, you'll never miss an episode and you can do this wherever you get your podcasts. If you want to get in touch, we read every single message that we get. You can send us an email, americast at bbc.co.uk. The WhatsApp is 443301239480. And you can get involved as well in the AmeriCast Discord server. The link to that is in the description. Until next time, bye.
39:01Marianna Spring:The End Range Rover. You've destroyed your life, not the president. For the full interview,
39:07Anthony Zurcher:listen to The Global Story on bbc.com or wherever you listen.
From the publisher
We speak to a US/China tech expert who served under presidents Biden and Trump about America’s race with China to develop Artificial Intelligence. Does he agree with president Trump’s statement “whoever wins AI wins”, and what does “winning” look like?
Justin, Marianna and Anthony discuss Donald Trump’s rejection of any regulation for Artificial Intelligence, and whether this is in line with public opinion in the United States. The team also talk about Congress, and how Republicans are reacting to Donald Trump’s most outspoken comments yet on AI. Plus, could Democrats be making the issue more central to their campaigning ahead of this November’s midterm elections? It’s an issue which has also united progressive Democrat senator Bernie Sanders and former Trump adviser Steve Bannon - what was their message to voters?
Our guest this week is Chris McGuire, a US-China technology expert with the Council on Foreign Relations. He’s a former senior advisor at the State Department for Trump in both his first and second terms, and previously served as Deputy Senior Director for Technology and National Security at the National Security Council from 2022 to 2024 under president Biden.
HOSTS: • Marianna Spring, BBC Social Media Investigations Correspondent • Anthony Zurcher, North America Correspondent • Justin Webb, Radio 4 presenter
GUEST: Chris McGuire, US-China technology expert with the Council on Foreign Relations, former senior advisor at the State Department for President Trump. Former Deputy Senior Director for Technology and National Security at the National Security Council from 2022 to 2024.
GET IN TOUCH: • Join our online community: https://discord.gg/qSrxqNcmRB • Send us a message or voice note via WhatsApp to +44 330 123 9480 • Email Americast@bbc.co.uk • Or use #Americast
This episode was made by Emma Close with George Dabby, Josh McMinn and Nik Sindle. The technical producer was Mike Regaard. The series producer is Purvee Pattni. The senior news editor is Sam Bonham.
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