Moonshots with Peter Diamandis - The Future of Medicine: How AI Can Transform Healthcare for Billions (FII Panel) | EP #133

Episode Date: November 28, 2024

In this episode, Peter is joined by a panel of leaders in the health industry, discussing how AI will forever change our healthcare system.  Recorded on Oct 30th, 2024 Views are my own thoughts; not... Financial, Medical, or Legal Advice. Including: Will Ahmed (CEO, Whoop) Amir Dan Rubin (Founder, Healthier Capital) Dr. Mehmet Öz (Founder, HealthCorps, and, award-winning TV host) Dr. Jim Tananbaum (Founder, Forsite Capital) Learn more about the Future Investment Initiative Institute (FII): https://fii-institute.org/   Pre-order my Longevity Guidebook here: https://longevityguidebook.com/  _____________ I send weekly emails with the latest insights and trends on today’s and tomorrow’s exponential technologies. Stay ahead of the curve, and sign up now:  Blog Learn more about my executive summit, Abundance360: https://www.abundance360.com/  _____________ Connect With Peter: Twitter Instagram Youtube Moonshots

Transcript
Discussion (0)
Starting point is 00:00:00 Before we get started, I want to share with you the fact that there are incredible breakthroughs coming on the health span and longevity front. These technologies are enabling us to extend how long we live, how long we're healthy. The truth is, a lot of the approaches are in fact cheap or even free. And I want to share this with you. I just wrote a book called Longevity Guidebook that outlines what I've been doing to reverse my biological age, what I've been doing to increase my health, my strength, my energy. And I want to make this available to my community at cost. So, LongevityGuidebook.com. You can get information or check out the link below. Alright, let's jump into this episode.
Starting point is 00:00:37 Our panel here today is titled, How Can AI Democratize Health for the Next Billion? And to contextualize this, I'll simply say that given the development of AI and wearable sensor technology, there is no excuse for a world 10 years from now without a massive increase in health. There is no greater wealth than our health. Every mother wants one thing for her children to be healthy. And I think that's a world that's more peaceful
Starting point is 00:01:17 and more prosperous. What I'd like to do is ask each of our panelists to just take one minute and introduce themselves from the perspective in which they're here to speak about this. Each of them is bringing a very different, unique perspective on global democratization. Will, would you kick us off?
Starting point is 00:01:40 Yeah, absolutely. I'm very happy to be here. Will Ahmed, I'm the founder and CEO of Whoop. We build wearable technology to unlock human performance and improve health. A combination of metrics like sleep and recovery and exercise and stress, a bunch of physiological measurements like heart rate and VO2 max and pulse ox, skin temperature, these are all the things that WUPE is measuring.
Starting point is 00:02:09 And as I think about the potential of continuous health monitoring and AI, you can imagine a future in which you have this 24 seven coach that's able to look at all of your data and really understand for you what you need right now. And that will include lifestyle decisions, that will include diet, that will include when you need to see a doctor or not. And I'm pretty optimistic that the future of health monitoring will make the world a
Starting point is 00:02:38 much healthier place when coupled with AI. Thank you, Will. I couldn't agree more. Dr. Oz, what perspective do you come to us with? I am a fan of Peter Diamandis. If you follow what he's doing, you'll probably do well in life. But along the way, I realized that I've been a heart surgeon by training. And much of what we knew was causing chronic illnesses amongst the people I was doing open
Starting point is 00:03:02 heart surgery on could be avoided if they took some prophylactic measures. So to try to tell folks outside the ivory towers of Columbia University where I'm on the faculty how to do that, I started doing more media. So I hosted the Dr. Oz show which aired here in Saudi Arabia for its entire course of 13 seasons and 120 other countries. And I learned a lot how people around the world saw the challenges to health. Early in this process, I launched a show with my partner, Oprah Winfrey. We started a company called Sharecare that was run by Jeff Arnold, who is the founder of WebMD, and it was the biggest digital health platform in the United States. And we began to learn a lot about how to give people digital tools.
Starting point is 00:03:45 The big lesson we learned is you want to give them rewards, which we'll talk about a bit more as we come along. Some of the rewards are informational, but oftentimes you just literally want to give them something. And it's especially evident with people in the working place. So Mohammed Zemmashri, please stand. Mohammed is a pediatric surgeon, our partner here, but we launched and just agreed with this with the national council on occupational health to bring this shared care platform to all 1.2 million businesses in the kingdom. And the effort
Starting point is 00:04:15 to get to more than 10 million workers and many more coming from other countries over the next few years is projected is to get them to be healthier. And I'll just give you one fact that might highlight why that matters financially. We ran the numbers in the United States. If you can get the average person to retire, not at 61, which is the average, but the 64, that three year difference in that one age cohort is worth a trillion dollars to the U.S. economy. That's enough to close the U.S.
Starting point is 00:04:41 debt, which is one third of all the debt we have in the world. It's also enough to make our social programs like Medicare and Social Security solvent. The same would be true here in Saudi Arabia. And this monograph, which the FII published, if you turn to page 60, that's a list of the attendees and what everyone is doing to stay healthy. So you can pick these up in different places. But in this list, you'll notice two things. There's common products
Starting point is 00:05:05 like probiotics that are being used by a lot of people. But 20% of the attendees are asking and taking, maybe taking, but asking for metformin, which is a prescription drug. It's linked with longevity. So it's a very sophisticated group here that are looking for ways to biohack and even spa hack. 30, 40% are doing cold plunges and sauna. So there's a lot of awareness of prevention. How do we activate that? AI would be the best way to customize. Amazing. Dr. Tannenbaum, please introduce yourself and your perspective on this. Thank you, Peter. Another huge fan of yours and thank you for having me. I'm Jim Tannenbaum. I run Foresight Capital, we're
Starting point is 00:05:45 a three and a half billion dollar healthcare focused venture fund. Have a great interest in the intersection of AI and healthcare. In general, we believe that over the next decade there's going to be profound impact and change that comes through the two coming together. There are two categories of things that we're looking for, things that are more readily integrated on top of the existing health care infrastructure. And one way of thinking about this is that we have right now a health care delivery system in the United States and globally,
Starting point is 00:06:17 which has a very wide variation of standard of care. And AI methods are going to be able to narrow that variation so that we're able to deliver more uniform best practices across patient population. And we think that those are the types of things that are going to roll out over the course of the next five years. And then there are larger questions about given what we know now, how do we redesign healthcare delivery? And it's interesting here in Saudi, in fact, the government has been embarking on that exercise.
Starting point is 00:06:52 And in the United States, it's very hard to change a system that's so encumbered and has been around for so long. So, but nonetheless, we have an interest in looking at a very long-term project of recreating and reimagining healthcare delivery in the United States. And hopefully over the next few years, we'll get involved with something substantial that focuses on that.
Starting point is 00:07:18 So those are our interests. Thank you, Jim. Amir Rubin, please introduce yourself and your perspective here. Well, thank you. Great you, Jim. Amir Rubin, please introduce yourself and your perspective here. Well, thank you. Great to be here. I'm in the fan club of this entire row of people, so it's a privilege to be here. So my background is in healthcare innovation and delivery.
Starting point is 00:07:36 I used to be the CEO at Stanford University's health system, and then I was executive vice president at United Health Group, big Fortune 5 company, and then went to a startup, One Medical, that reimagined the doctor's office and combined digital health and in-person care. We took it public and then we sold to Amazon last year. So if you're a U.S. Amazon Prime member, you could add One Medical for nine bucks a month. You could get all you can eat on-demand digital health. and then in 31 markets across the US in-person care. And what I've seen kind of across my experience is how do you take this great innovation that all these amazing people have shared and how do you fit it into workflows of both kind of the demand
Starting point is 00:08:20 side, the problem statements for consumers and employers and payers, and the supply side, physicians, clinicians, nurses, care coordinators. And so right now, I run a venture firm called Healthier Capital, and we're investing in health tech, this intersection of how do we take these great exciting technologies, but yet fit them into the workflow of clinicians. And I'll use an example from One Medical as the kind of things we're looking for. So in One Medical, a consumer within a minute can have 24-7 access to digital health, no copay, no deductible, no claims.
Starting point is 00:08:56 And we charged a membership fee, $9 a month. So how did we not overwhelm our providers with unlimited demand? So we built our own technology, and we first used natural language processing, now some generative AI approaches that reads the emails based on the content, pulled it out of the physician inbox, and then staff a national 24-17. Not all of them have to be physicians or even clinicians based on the content.
Starting point is 00:09:22 Then we had a human in the loop, but then generative AI now helps draft the response. So we can take 50% of the tasks off of a physician, yet then have one to two minute response for the consumer. So it's an example of how do you blend technology into services, but Peter, I wanna throw it back to you. So I'll play moderator on this end. You have an unbelievable background
Starting point is 00:09:45 and been a student and fan of you and the XPRIZE. And I know you're a thought leader. Please share a little bit about how you're thinking about this in healthcare. Sure. I like studying how industries get massively disrupted. Right? So the PTTs, the telephone lines around the world got disrupted when a
Starting point is 00:10:10 service that was not 10 times, 100 times better came in and made getting a landline irrelevant. And so we see India with Gash Ambani's 5G network just amazing. We saw Google come in and make libraries irrelevant. I'm interested in completely crushing, destroying, obliterating, and reinventing the healthcare industry. And I do think that we're going to get there relatively quickly.
Starting point is 00:10:50 There's a point at which, why would you ever go, there is a point at which AI is the best physician, period. Right? Where it's malpractice to diagnose without AI in the loop. There is a point at which most of your data is collected on your body, in your clothes, in your car, in your bed, in your urinal, all the time. And that data is fed up to your AI that's monitoring you not once a year for a checkup, but continuously through your day and finding things at the very beginning.
Starting point is 00:11:26 So I'm interested in what countries are going to like reinvent healthcare and make U.S. healthcare super jealous that we don't have that. So I'm not interested in incrementalism. So I'm going to start with you Mehmet. You have some fascinating data. How do you think about the rising billion, I'm going to not call it the bottom billion, the rising billion and how this will support them? You mentioned AI and I share your belief, that study by the way, in your panel,
Starting point is 00:12:06 when Jack Henry was describing Sandbox EQ's large quantitative models. Thank you for that opportunity. You can moderate. I've watched from the best through the years, Dr. Oz, so I'm trying to learn. But you're well done then. Emmy award winning, quality work.
Starting point is 00:12:28 The big opportunity with a I I think if it's honest honest now I asked if it's not a reason to be needed. I'm sorry not not judgmental it can be it can make mistakes obviously can hallucinate but there's give me I'll give you 2 examples the one class example that Jack Hittery shared with me years ago when I was first trying to understand what this was was pathology slides. So if I get a pathology slide in a Western country for prostate cancer, the pathologists will over read cancer.
Starting point is 00:12:54 They'll see there's more cancer than there really is. Why would they do that? They do it because they're humans. They don't want to miss a cancer. So they'll say something is a more advanced tumor than it really is just in case because they're not sure. Pathology slides read by AI don't make that mistake because they're just bluntly telling you what it is.
Starting point is 00:13:14 So the great number of people have their prostates taken out. That's true in the West. It's also true in the East. But the more pervasive issue today is we have a little bit of a illness industrial complex. There's a lot of money spent to make us sick, making foods that aren't good for us, subsidizing those foods, sometimes they're addictive foods. We support, I think we probably put as much money into tobacco subsidies in America as fruits and vegetables.
Starting point is 00:13:39 It's just not done in a way that objectively honest person would want, but these are historical realities why these were done. I'm not blaming the people, it just is true that we're not doing our best. AI generated advice will have to tell you the truth. It doesn't fall prey to human failability because it's kind of be kind and an effort to be kind hurts you, like a parent who loves you but does the wrong thing by enabling behaviors. it also will take on special interest groups that maybe don't want you to do the right thing. And I think if you put those together, we have an opportunity, not just in the West, but also in the rising billion, to say, honorably, your water is so poor that you can't be healthy,
Starting point is 00:14:18 as healthy as you could, because you have arsenic levels a hundred times more than they should be. So as a country, you need to do a better job with water supply. I mean, basic stuff. It's not just curing polio, which would be nice also, but it actually starts to get into these issues that expose pathology that otherwise we would ignore. Will, how many?
Starting point is 00:14:38 Excuse me. I'll ask it. Yeah. How many loops are in circulation? And what you mentioned what you're measuring today, what would be your the next three or four things that you would love to be able to measure physiologically on in the body? Where are you going? Well, when we first started whoop, we looked at what were some of the sort of more capable medical technologies out there and how could we put those in a smaller form factor. And so initially it was the PSG machine, which is like the gold standard for sleep
Starting point is 00:15:14 monitoring. It was the electrocardiogram, but in particular to be able to measure heart rate variability, which is this fascinating lens into how your body's recovering. And it was actually the chest strap, which is the heart rate monitor from the 80s that athletes wear to train and being able to measure heart rate accurately during all sorts of different activities. Now, the good news is we've now been able to take those technologies and put them in a small form factor that has the same level of efficacy. And if I think about going forwards, all the new capabilities,
Starting point is 00:15:45 we'll probably go back to a similar place, which is just saying, what are all the different pieces of technology that you find in a hospital room, or that are off the shelf, more cumbersome pieces of technology, that you'll be able to put in a much smaller form factor, much more affordable form factor, and democratize?
Starting point is 00:16:04 I mean, just think about the fact less than one percent of humanity measured their sleep last night. Yet we know that sleep is essentially one of the most important things you can do for longevity, for performance, for really reversing all sorts of disease dates and everything that could go wrong. And yet such a small percentage of society today is measuring it. So it's often asked, well, what more can we measure? What more can we measure?
Starting point is 00:16:33 I think a good starting point is just getting a lot more people to be measuring their bodies. Because you can only really manage what you measure. Sure. I'm curious, both of you have been in the medical system, investing in the medical arena. Do we start from clean sheet and work up or do you try and take the existing systems and improve them. Jim, how do you think about that?
Starting point is 00:17:07 I mean, I like your categorization to simplify, but are you gonna live long enough to see changes made? No, I mean, I hope spring's eternal. And I think, you know, in venture capital, you start off with macro themes. The macro themes bring you to entrepreneurs, and the entrepreneurs bring you to investment opportunities. So the macro theme is to use AI to make care of delivery more uniform.
Starting point is 00:17:40 Then the entrepreneurs on the ground that are delivering that have a spread of ways of going about it. I would say ironically, there's not a tight correlation between revenue growth and technology excellence. Can I ask on top of that, do you think that doctors will change or medical systems will change? I don't believe so. I think they're so ingrained in how they do what they do that to get people to actually change is almost impossible.
Starting point is 00:18:19 Well, I think there's small change and large change. OK. And there's who's at risk and who can benefit from change. And in places where people go at risk and they can deliver, we're involved in a cancer care delivery company that's making some changes to the way that cancer care is delivered. Originally, we were hoping that they would be really heavy on the tech front. They've just been really heavy on the figuring out how to get doctors to accept various changes that are easy for them to accept.
Starting point is 00:18:52 How long did it take for cardiologists to accept using AI to read an EKG? Stethoscope, stethoscope. Just now, we're getting doctors to allow AI to analyze acoustic sounds, which we're so bad at. Objectively, we're bad at hearing Austin Flint murmurs. Please, Amir. Well, and I think it's a great question, Peter. I think the answer is both and, meaning I think we're going to have innovation and continuous improvement from within the ecosystem,
Starting point is 00:19:23 and sometimes we'll have disruptions from without. But if one is naive to how the ecosystem works, I like to say big healthcare always wins. And so, but I think also understanding the stakeholder needs. I actually was just with a kind of cancer, almost customer relationship management software company that's helping manage patients longitudinally and a lot of practices in community practices, they don't have a the
Starting point is 00:19:52 knowledge base and then the staff to manage kind of the symptoms and follow up on these immunotherapies. So they're not using the latest generation. So part of the answer there is okay and by the way, they're not getting paid for that time. But this panel is about the next billion. So let's take it there. So I think then the end on the next billion is, however, then there is some approaches that can leapfrog these things. And we're seeing this now in a lot of this generative AI.
Starting point is 00:20:23 So I've looked at a number of companies now where a doctor and a patient can sit across from each other and not only have the system do transcription, document what the doctor is saying, but also say, kind of do the differential diagnosis. I think it's this, I think it's that, it could be this, consider ordering these exams. And I think back to your other point, Peter,
Starting point is 00:20:42 I think this could be an area like we saw cell phones in some parts of the world leapfrog landlines. We could see the same here. We may have more regulatory burdens and more stuck in our current ways in the U.S. Actually I've been spending some time with the Ministry of Health these last couple days here in the Kingdom. It's good to be the king. It is, and it's also, however, good to have a national viewpoint of regulation. We have pros and cons in the US from cities and counties and states, but in terms of having a uniform digital highway, in terms of having consistent standards, it's very hard to innovate
Starting point is 00:21:23 in that. Can I put forward the thesis and get your feedback, which is the, I'm going to compare the U.S. against Africa in health. The U.S. has such regulatory burden and such a disease-based industry, a sick care industry, that shifting the battleship will be extraordinarily difficult. But take your favorite African nation, where there is little, but there's 5G, there's smartphones, and with the proper creation of sensor technologies, we can have a ground up revolution using AI
Starting point is 00:22:08 to democratize health. Just like in Africa, we saw the first cell phone based currency exchanges using Minis, which is an innovation I still would love to have in the US. So do you imagine that we might see in five years time, and I'll remind you guys five years from now I said this, that we have standards of health care improving in the rising billion at the mass level, not at the wealthiest, but at the general populace level? Well, I think the place that has the most likely for that type of scenario is actually here.
Starting point is 00:22:50 Or the Saudi or UAE. And they're already starting and they're doing planning and they're making an earnest effort. And Amir has just spent the last couple of days banging around the healthcare authority here and he can make more comments. But I mean, you need a lot of factors. You need government that can actually be empowered to make change,
Starting point is 00:23:14 alignment, long-term thinking, money, and a lot of the factors are here. And I think one needs the right financial incentives. We can do it also in the US. I mean, the system is responding exactly as the financial incentives are. Absolutely. You get what you incentivize. So AI and health care, we all know where it's applied. Revenue cycle, billing, collections, claims.
Starting point is 00:23:41 That's where all the first money is to be made in AI and healthcare. And everything that Dr. Oz was talking about of digital pathology, digital radiology, it's there, but it's much, much slower. Why is it FDA approval? Is it through CMS? Can you get billed for it?
Starting point is 00:23:57 How do you get reimbursed? But we've seen, for example, in Medicare, for seniors in the US, we have 50% of seniors now in Medicare HMOs, Medicare Advantage. Well, there is a financial incentives for the insurance companies, for the groups, and it's not a perfect model far from it. But I think to Jim's point, it takes leadership at the national level, at the country level. It then takes the right incentives.
Starting point is 00:24:20 The entrepreneurs will come up with the ideas. But just to feed off that, I've been to Saudi Arabia five times this year. Wow. So and I, as you have been talking to these fire miles, baby, sorry, they got a figure of fire miles that we had not been able to use one day. I'm going to do don't even the well. But I what I've noticed here anyway, is that the real winning game for health is going to come back down to the issues of making it easy to do the right thing.
Starting point is 00:24:49 Sort of the Blue Zones approach. And there's probably a Blue Zone in the southern part of Saudi Arabia. But we know the other places where there are Blue Zones, Okinawa, Sardinia. They have done things that just every single day push you to walk a little more, which by the way, that by itself is probably the single biggest driver of longevity. The average American walks 4,000 feet steps a day. In Saudi Arabia, it's less because everyone's indoors so often. The optimal is well over 10, but let's just say seven.
Starting point is 00:25:17 But that's just a basic example that we'll can monitor and keep track of. But I think those are the kinds of things that ultimately will allow the extra billion people that we're talking about to rise up. And I spoke on Monday at the African Summit, the same basic idea, the leapfrogging that I mentioned is happening there already with technologies. And Orbis is a company that looks at retinal images and does AI evaluation to diagnose everything inside your brain, but a lot of other metabolic illnesses as well. Again, we don't do that in most parts of the world, but they just can screen a lot of people.
Starting point is 00:25:48 But I think monitoring is a big part of it. What I'd like to do in our final eight minutes is give each of you two minutes to address that question. How can AI democratize health for the next billion? I want to bring us back there. Will. Yeah, and just reflecting on the conversation here, a lot of how, at least I've thought about building Whoop is very customer first or like, you know, individual first. And it strikes me that we've talked a lot about, you know, different regulations and, you know, what doctors offices are going to do. And we've almost looked at it more from the bureaucracy standpoint. But I think that when you talk about a billion people,
Starting point is 00:26:32 it's going to come from the users first. And we might be able to learn something from the education system right now. So it wasn't like generative AI went to the education system and said, hey, we're interested in rolling out large language models, we're interested in helping the students better understand how to write papers and answer questions. It was just like all of a sudden, every school around the world woke up to the fact that their students can now write a paper entirely from a large language model.
Starting point is 00:27:02 Now, every school is trying to figure out what the hell do we do with this new world? And they're changing way faster than they ever thought they would. And I think what we're going to see happen in healthcare is that level of disruption, where all of a sudden answers are going to be at the fingertips of individuals around the world. There'll be someone wearing a whoop and the AI layer that sits on top of that is going to tell them they're about to have a heart attack in 30 minutes. And guess what? They're not going to call their doctor and ask, they're just going to go to the ER. And all of a sudden when these things start to happen in real time, the system is going to have to adapt rapidly. And I think what's so powerful about AI, talking about a billion people is that
Starting point is 00:27:45 the cost of that level of intelligence is going to be so low that it's going to be touching every individual. And so that's what's going to push the system over. Amir, going to you next. Yeah, I think we can have a doctor in everybody's pocket. Exactly. And I think actually technology wise, that's here today, at least kind of a triage and diagnostic. I don't think- A doctor or a much better doctor in every way?
Starting point is 00:28:09 Well, I still believe we need humanity and compassion and also- Do you not think that AI can be more empathic than a human? I think that most humans probably, possibly. I do think- I think the data does show that, right? I think that's right. And there's good data on that.
Starting point is 00:28:29 But I think the key here is today, there's a lot of barriers to access information. And even if you have great insurance or great resources, even if your name's on the side of a building, I just visited somebody at Harvard whose name's on the side of the building. I said, how long does it take you to get an appointment? He said, well, I saw a nurse practitioner in 10 days and his name's on one of the buildings.
Starting point is 00:28:50 So, you know, everybody wants that immediate access and service. And so those initial questions, I think we could have assessed. And I think to Will's good point, I was just visiting with the Red Crescent team, the ambulance EMS services here, and they've now got kind of remote telemetry. You can measure EEG in the fields or so you can get stroke protocol going or door to balloon time faster. But if it was on your whoop, I could get that even faster. So that's, I think, all very doable. The integration into the existing ecosystem is where it'll fall. But I agree with
Starting point is 00:29:25 what Will said. If we could put it in the hands of consumers and people, they'll have that information. And I think the technology is here and it's available. And so I'm very excited about that. Wonderful. Dr. Tannenbaum. So I agree with the line that everybody's going down. I agree with the line that everybody's going down. Doctor in a pocket concept is already here and now. But the problem is it's hard to get a person to trust an AI to deliver their care. The whole doctor. Do you think that's generational?
Starting point is 00:30:01 Over time, it will be. However, I was going to a slightly different place, which is that I think that the places where it will likely get adopted more readily, is where the doctors are accepting of the AI with the patient. I think there's economic alignment in places that are capitated, where for example, you have six months of waiting and you can effectively make a much more streamlined system because now it's augmented effectively,
Starting point is 00:30:33 but still doctors in the loop. Do you think, Jim, that physicians will spend a quarter million or a half a million dollars going through medical school if they're playing second fiddle to an AI that a nurse practitioner could easily. Well I don't think there's any decrease in acceptance rates at high top various medical schools. It's still impossible to get into medical school so there's a great deal of interest in it.
Starting point is 00:31:05 I think the role of a physician, and this is actually something I've been interested in philanthropically, is going to change and evolve. It has to. What's your vision? My vision is more of a business man or woman objective, what's the best processes for me to adopt in order to be able to deliver measurably the best care, the least expensively. So more of a health coach or consultant? Could be, although the AI could power up the doctor too.
Starting point is 00:31:42 You're talking about the last mile, and the last mile could come in a bunch of different ways. I mean, it could be on your cell phone if that's the way you like the last mile. It could be delivered to you by a nurse practitioner as well if you want the human interaction. But I think that in general, physicians that adopt these tools are gonna be advantaged and they're gonna be advantaged
Starting point is 00:32:04 in various systems better than others. But I think capitation is kind of one place where, you know, there's a fixed pot, they can do something more efficient, they can share more in that pot. Dr. Oz, take us home please, on the topic. I think you teach people how to treat you. That's true in our personal lives.
Starting point is 00:32:22 It's going to be true in the medical care system. It has not historically been the case because there was a asymmetric advantage to physicians because they had domain expertise. They were a doctor, a doctor, a teacher. We're supposed to be teachers, not orderers. And I do think the economics of medicine have always been driven to making more money for the people who are providing the care. But the people who deserve more value, who will ultimately use AI to drive it for the extra billion entering the system, are the employers, the governments, the people who need the productivity of people. Just being very pragmatic about this. If I'm running a business and my employees are present,
Starting point is 00:33:01 presenteeism, they're there but they're not really at full speed or they're not there because of various health illness, that's a problem. It's why we focus so hard in the US on employee and occupational health. That's why we're working with the National Council of Occupational Health here with this big program. It's mission critical for the Saudis to have a workforce that is healthy because they don't have enough people
Starting point is 00:33:21 to do the work. And it's gonna be that way, I think for the billion people as they come into the system, they're gonna wanna have jobs and stay in those jobs and earn money and build wealth for themselves and have a confidence for the future and therefore consume, it runs the whole cycle. We've never thought of healthcare as that.
Starting point is 00:33:35 Healthcare is always seen as a drain on the economy, right? $4 trillion coming out of the economy as opposed to generating a lot of value for the nations that have high quality health care. So keeping clean water, avoiding communicable diseases, making sure that you've got folks that are able to get basic preventive care so they all can live with a health span that that's, you know, the way they want to live until they're at least 85 is something that's valuable. But I do have aspirations that will go a bit higher than that. I think 120, which you mentioned,
Starting point is 00:34:02 maybe longer. But think of how much value there is to someone who's 75 years old, who's learned all that, who can offer back because they've been kept healthy. The only way to keep the system honest is a smarter arbitrar and AI is the only thing in my lifetime that's sitting close to doing that. So it's going to allow all these transformations to happen. And without AI, and there's a lot of arguments
Starting point is 00:34:22 about the good or the bad, AI is not gonna be the problem. It's people who use AI who aren't good. I'm going to, we're out of time, but I'm going to do a survey of the four of you real quick. Here's the question. When will it be malpractice to diagnose a patient without AI in the loop? Your answer within five years, within 10 years, within 20 years, or never? I'm going to start with you. I would say within five years. Within five years, one year, within one year,
Starting point is 00:34:48 within one year to be some of these complicated diagnoses. Why would you not just search it? It's right there. Amazing. Jim, I would say less than five for sure. Yeah. I would say practically within five years, when the legal system evolves is a different question. Peter, how would you answer it? And how would you? I'm going to push it hard as I can as soon as I can. 20 minutes? I think within five years is my answer.
Starting point is 00:35:10 Let's give it up for our amazing panel, everybody. Thank you. Let's get a team photo.

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