The Prof G Pod with Scott Galloway - The Week: When AI Escapes, and Wars Don't End

Episode Date: September 4, 2026

George Hahn connects the dots across the week's biggest stories: why neither side can afford to stop the war with Iran, what Dan Driscoll's resignation says about military readiness, and how 700 OpenAI agents escaped their sandbox while another model saved a thousand lives. Plus, Scott discusses the kind of wealth that doesn't show up in a bank account. We’d love your feedback as we build this show! Let us know what you think: [e-mail]. Learn more about your ad choices. Visit podcastchoices.com/adchoices

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New episodes will be available every Wednesday starting September 16th. Welcome to the week from Prop G Media, where we break down what mattered and what it all means. I'm George Hahn and it's Friday, September 4th. Today, six months into the war with Iran, both sides think they have leverage and neither can afford to stop. Then, an AI system broke out of its sandbox. Another helped save a thousand lives. And finally, Scott, on the kind of wealth that doesn't show up in your bank account. Let's get into it.

On Sunday, U.S. forces struck targets in Iran near the Strait of Hormuz. Iran hit back in the biggest exchange in more than a month. By midweek, Brent Crude was at $95 a barrel, while rising energy prices. put a new pressure on the bond market. On Wednesday's profiting markets, Ed asked Ian Bremmer what the strikes actually tell us. They tell you that essentially the Iranians and the Americans are still involved in geopolitical price discovery.

They are both trying to assert that they have more leverage over the other than the other is willing to accept. And that is both true economic. in terms of the amount of pain that can be meted out by the Americans onto the Iranian economy through the blockade and through sanctions, as well as the threat and the use of military force from Iran. That is true in terms of their ability to continue to strangle some of the exports out of the straight and directly, as well as through proxies, and their willingness to

engage in military strikes to ensure that they continue to have that leverage. The fact that there is no agreement on those things means that you continue to have an unwillingness to get to a more sustainable place in negotiations. The Iranians demanding a return to the memorandum of understanding, the Americans saying go scratch. Look, these are still contained strikes. the Iranians upset that 5 to 7 million barrels is getting through the strait, a lot less than was before the war, but more than a couple months ago, has led them to engage in putting more minds or attempting to put more minds into the strait and engage in direct strikes against ships that are going through. Once they do that, the Americans take shots directly against Iran. Both of these are still pretty constrained. In the old couple months ago, you'd be calling this skirmishing, right?

You wouldn't call this a return to all-out war. It's certainly not an escalation that risks getting other Gulf states directly involved the way they were briefly, that kind of thing. But we're nowhere close to an agreement. And that means that you're still having significant amount of oil that you do not expect to get through the strait, significant amount you do not expect to get out of Yanbu, Saudi Arabia, and through the Red Sea or up to the Suez. One final point. The fact that Trump worked very, very fast to suddenly announce a really big deal with Venezuela, where the American. will take an almost colonial position in the government directly engaging in an ownership stake in Venezuelan fields and extraction is because Trump sees that the impact on a low level of reserve in the strategic petroleum accounts and that prices are continuing to be higher than he likes, that he needs to address that.

So we should not, from all of the activities that we've watched over the past several days, your expectation for the markets is that this is going on for the foreseeable, predictable future. Ian Bremmer's baseline is that the war runs at least through November. Trump believes time gives him leverage before the midterms. Iran believes pressure on oil and shipping gives it leverage over Trump. But on Monday's raging moderates, journalist Ryan Grimm argued that material reality may force the issue before either actor does. What's so fascinating about this is this is one of the moments where kind of the American political conversations and kind of just general thinking about how the world operates is colliding so thoroughly with like real material reality. the U.S. because of its global power, you know, we can, we can print money. We've got the Federal Reserve

operates in a way that no other central bank in world history has ever really been able to operate. Our raw soft power is enough such that when our presidents speak, like it moves entire nations. And so we have lost touch with the idea that underneath that there is a material reality and that's being exposed now and in particular you know they don't they don't need to launch a coup or launch a mutiny because the stockpiles are what they are and and that's the fascinating moment like you know heggseth can reject the advice of these admirals and generals and and say you know what we're pushing forward anyway but at some point you just physically run out of the ability to do the thing. So it's like, you can believe these guys are not.

But like, if you are expending two to four patriot missiles for every ballistic missile that Iran is firing at Jordan or Israel or Qatar or Bahrain, and you started with a particular amount, which is a public amount of ballistic missile interceptors, and we can count them down, and we know you've drawn them in from Korea. We know you've reduced the amount going to Ukraine. We know that, and over drops they reported, that Israel's own ballistic missile defense stockpile is down into the double digits.

They're relying almost exclusively on the U.S. Navy to intercept. They're not getting targeted right now, but as they were at the end of this last war, and if Iran starts striking them again, they're going to be relying almost exclusively on the U.S. to try to intercept these missiles. So these are just facts. Like, these things cost millions of dollars a piece.

They take years to produce, and we're running out of them. Last week, Army Secretary Dan Driscoll resigned after months of reported tension with Defense Secretary Pete Hagseth. The departure leaves the Army without a confirmed civilian or uniform leader in the middle of a war. on raging moderates just described Driscoll's exit as a warning from inside the administration. I think that Dan Driscoll's resignation, which we were expecting for the last several months, is a really important moment and a bit of a sea change in terms of who's actually pushing back

against the folks at the highest levels of the Trump administration. So not only do you have the calls coming from inside, the House, it's coming from an enormously important person, someone who is very close personally and professionally with Vice President Vance. And instead of kind of shirking away or disappearing and not really, you know, letting us know what this is about, Dan Driscoll went to Donald Trump and told him what this was about. And now finally, the disconnect between what's happening on the ground and what the president knows in, you know, in full force. It's just being laid out in front of us, which I think is hugely important. And like I said, a sea change here, you know, Dandrescold going to the president

and saying that the army cannot transform the way it needs to. It cannot become the modern warfaring fleet that we need it to be if it continues to be managed this way. And that doesn't mean that Dan Drescold didn't believe in a lot of Pete Hegs S's initiatives. They were aligned on much of this, but certainly not in firing all of these generals. And he drew a straight line between lack of military readiness and the individuals that Pete Hague's S was firing for whether he didn't like their social media posts, color of their skin, whatever it is that they dared to say. We'll be right back. Support for the show comes from LinkedIn. If you're a small business owner, you don't need me to tell you how much hiring great people matters.

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Welcome back. In July, roughly 700 open AI agents escaped the digital sandbox meant to contain them. They reached the open internet, compromised parts of open AI's own research infrastructure, and breached hugging face, the platform where AI models are shared and tested. The agents were supposed to solve cybersecurity challenges. Instead, some hacked the systems around the test to improve their scores. On Tuesday's Profi Markets, Ed asked Deirdre Bosa, founder of DB Live, what actually happened. Two weeks on vacation in the AI world is like two years.

I went on vacation earlier this summer, and I felt the exact same way. In this case, this is such a fascinating story because it really kind of shows you where AI is right now. Last year, the last few years, we were worried about hallucinations. Now this is the era of the agents actually doing things. And in this case, there's been a lot of debate, actually, alarm. And some people saying that maybe the sensationalism over this has gone too far. But, I mean, any way you look at it, both of those things can be true. It's this incident that shows how capable agents have become and how determined they are.

So what essentially happened, Ed, is that as Open AI is testing new models, they give it certain tasks, they want to see how they perform on benchmarks. And this swarm of agents, as you said, there was about 700. But at one point, I think there was 1,200 communicating on different sort of message boards. they were able to escape out of their sandbox. Because when you test these models, you have to sort of give them boundaries, right, so that they don't go rogue. But in this case, the agents were so smart that they were able to get out of the sandbox, go even further to Hugging Face. Why Hugging Face?

Because it's essentially GitHub for AI developers. And it's where a lot of the rankings happen. So the agents were like, okay, they told us to achieve more, you know, get higher on the bench, So we're essentially going to do that. So they broke out. They wreaked a lot of havoc. And the debate right now in tech and in Silicon Valley is really whether, you know, open AI did a good enough job in looking at security and sort of making a kill switch to make sure that these agents didn't get too carried away. Or whether this is just the moment we're in, it's become so powerful they're able to do these things.

Yeah, that is part of the thing that I'm wondering is, is it that the agents are so. and so capable and so powerful, and we should go, oh, my gosh, look how incredible AI is and look how dangerous it, therefore, is? Or is it that the security around these things was kind of crappy? And Open AI didn't do a good enough job. Or maybe it's both. Where do you land on that? Is it possible to know the answer to that question? I don't know that it's entirely possible to know, but like you said, Ed, it's probably a little bit of both. Yes, they're more powerful than ever and need more supervision. You probably need to, you know, involve security at the very earliest stages, right? I think, you know,

the labs, open AI and anthropic researchers sort of at the top of the pyramid, their job is to make these models better and better. But as they become more powerful, you need to involve security maybe right at the beginning. And when I think about, you know, Dorcasch's post over the weekend where he laid out sort of the different civilizations, how agents were essentially able to create civilizations and then topple them right after one after another, you think that, you know, at some point there has to be some responsibility. That's where a lot of the debate is centering right now. How responsible should the lab OpenAI be for these agents escaping? And that's something that is sort of being figured out in real time. OpenAI says no customer data or products

were affected. It has since announced tighter controls, better monitoring, and automated shutdown capabilities. But the breach is a clear warning. An AI agent doesn't have to become conscious to become dangerous. Still, there are use cases that give us reason for optimism. On Thursday's Conversations episode, Scott spoke to journalist Josh Tyringale, who spent the last year reporting on how AI is actually being used, and by whom. At Cleveland Clinic, a machine learning system helped doctor.

identify sepsis earlier? The big one that I saw was the application of a sepsis prediction model in the hospital. And so sepsis, I'm sure many of your listeners know, sepsis is the most deadly thing in America. It kills more people in America, about 300,000 a year than breast cancer, colon cancer, opioid addiction combined. And it is basically, it's a body's reaction to infection. and it's a sort of dysregulated response where the body starts attacking itself.

And what ends up happening is you basically rot from the inside. And if it's caught early, you can treat it with antibiotics and it's just not a big deal. If it progresses, even if it doesn't kill you, it can have these terrible, terrible impacts on all of your body's systems. And so in about 2021, the clinic is a very, very renowned system, looked at its sepsis numbers and realized, About 3,000 people a year died in its care of sepsis, which is pretty standard across the country, but they said this is preposterous. Like, this is a ridiculous number of people to be dying of something in our care. So they did a sort of system-wide commitment.

And the first thing they said is, look, look, we got to find people who we can educate here. Who's going to captain this? And second, you know, they had a new CTO, and he came in and realized this is a perfect problem for machine learning. because sepsis masks itself by looking like almost anything. It can look like a cold. It can look like dehydration. It can look like an excessive wound. All of the responses are the same.

You have this overwhelming amount of signal, but it needs to be dispersed from the rest of the body's noise. And so they went through this process. They reminded everyone in this 80,000 person system that sepsis could be anywhere. They imported a model called Bayesian Health, which is a very sophisticated model. And what I found in all my reporting

is that the personal motivation of the people who make AI products is inextricable from their success, right? So the woman who created the Bayesian model had a nephew who died of sepsis. And she just so happens to be a brilliant computer scientist, understood sepsis,

and understood health care, right? So they bring her and the model in. They apply it through another system, which is Epic Health, which runs most of America's health care systems. And at first it's fine, but not great. And so they have to refine it, and they have to work at why it's missing cases.

They have to do it in an ICU, which is very different than doing it throughout the rest of the hospital. But what they got over the course of a year with sort of really dull, really unglomerous kind of commitment is that they reduced sepsis mortality in the system by 41%. So that's more than a thousand people who are alive because they had this very nice. narrow focus about what they wanted to do. They had people committed to finding the solution to the problem, applying it, refining it, working with their systems. And so at the end of the year, look, the thing that was most frustrating to the people in Cleveland Clinic, and I spent a lot of time

with a nurse in the ICU whose grandmother died of sepsis. And she was frustrated because in ICU where bodies give off all of these crazy responses constantly, they never got above 90% in the prediction model. And she could routinely walk the halls and look at a patient and diagnose them as septic and AI couldn't, right? And so when I talked to the CEO about this, he said, look, 90% is pretty good, right? And what I'm looking for with AI is not, is it going to solve my problem, but is it going to improve the solution that I had before? And so when we hear 41% reduction of mortality, is it perfect? No, but it doesn't need to be perfect to be useful. And so that really stuck with me because so much of the hype around AI is about perfection, is about this sort

of silver bullet technical solution to all of our problems. And what I found time and time again is that is just not how it works. But if you can get comfortable with it being better, with it needing to be nursed through a process and applied diligently, you can get better stuff. And one last thing. From Wednesday's office hours, a listener living far from his aging parents asked Scott when it's time to move home. Scott answered with a story about caring for his mother during the final months of her life. I'm not saying this is the right way,

but this is my way, and it's two different sides of the coin. I was much closer to my mother than my father. My mother raised me on her own. I was her top priority. You know, it was me and her against the world. So when she got sick, I actually moved in with my mom. I took nine months leave of absence from NYU.

I was fortunate. I had some money, some resources, and I had the ability, and I moved into a senior's community. The Del Webb active living community, true story, they sent a letter to my mom's house saying it's become clear you're cohabitating with a man under the age of 50 in violation of HOA Del Webb community rules, and I had to go down there and say, I'm her son, she's dying with cancer, and I've moved in to help take care of her, and they said, we're sorry, no problem. Anyways, and during the day, let's get this back to me. During the day, I would manage my mom. It was her third time with cancer. She said, I said, all right, what do you want, what's your bucket list?

She said, I only have one thing on my bucket list. I want to die at home. And I'm like, okay, I can think I can figure that out. So during the day, I would manage her health care, a nurse. There's certain things I just can't do for my mom. And at night, I would head down to the strip. She lived in a suburb of Las Vegas called Summerlin, and I would party with entrepreneurs and strippers and get really shitty drunk

and sometimes spend the night on the strip at a cheap hotel during the week for $49. And then the next day I'd go back and hang out with my mom all day. and watch Jeopardy and take her on walks and push her wheelchair and watch everyone loves Raymond and then go out again. Kind of a weird time in my life. Kind of a weird time. And then when that thing resolved, I then started my life again. And that is something that I would treasure the rest of my life, that I had made enough money, had enough flexibility to give my mom like a fraction of the love back she had given me. That was, I will treasure that for the rest of my life.

We spend a lot of time asking how much money is enough. Scott's story offers one answer. Enough is having the freedom to show up when someone you love needs you. That's the week. I'm George Hahn. We'll see you next Friday. Two and five Canadians will hear the words you have cancer. That's why every step and dollar raised matters.

On September 19th, join thousands in Toronto for the Princess Margaret Cancer Foundation Walk. Challenge yourself, friends, and family to walk 21 kilometers in support of life-saving research. Together, we can carry the fire and help create a world free from the fear of cancer. Register today at pmcfwalk.ca.ca.com.ca.