Episode Transcript
[00:00:00] Sam, If you've ever stared at a treadmill and wondered what you're actually supposed to be doing or hired a personal trainer only to feel like the program was really designed for somebody else, if you've watched my Instagram channel, you've seen, you know what's going to happen this week. We're going to talk about fitness and how to use AI to overcome some of the challenges that maybe you've been running into. I'm Dr. Bideau, and today on AI Today we are exploring what happens when you take artificial intelligence and it becomes your most attentive, most adaptive, most knowledgeable fitness coach.
[00:01:12] And the best part is it's available 24 7.
[00:01:15] It never has a bad day.
[00:01:18] It actually remembers what you told it last Tuesday, and you can even get it to help with nutrition and everything else that you're trying to do.
[00:01:28] Personal training has always been, you know, one of those areas that it has a fundamental problem.
[00:01:34] And it's really, personalization at scale is really, really expensive.
[00:01:40] You know, a great coach learns your movement patterns, they understand what your recovery rates are, they understand what your stress levels are, what your schedule looks like, what your eating schedule looks like, what your sleep schedule looks like.
[00:01:53] That requires hours and hours and hours of observation. And frankly, it's a lot of trust that can only be built over time.
[00:02:02] Now, you know, AI changes that equation completely because, you know, as you're interacting with it and like we talk about all the time on the show, it's more of a personal relationship that you're going to be able to build with the AI. Now let's look at, you know, some things that are a little bit more specific though, if you, if you think about it. So the first thing is, is, you know, AI coaching really does, you know, it's, it's, it's generally called fitness intelligence profile. That's the first thing that it is going to want you to, to do.
[00:02:37] It ingests your age, it looks at your weight, looks at your body composition. You know, if you have that previous workout history, injuries, stated goals, you know, what, what, what available equipment you have, where do you live, you know, for, you know, those, as much information as it can get.
[00:02:55] But here's what separates really a good AI coaching experience from, you know, some of those generic apps. And it's really around keeping your, you know, updating your profile after every single session, all right? And, you know, every rep you complete, every rest period that you take, every time your heart rate gets to a certain level, you know, you want the AI to Continue to learn.
[00:03:22] It's not that it's just recording, it's also learning at the same time and that gives you a lot of flexibility to do some things.
[00:03:32] So I'm going to show you something real quick. We'll walk through an app and I'll show you what that looks like.
[00:03:40] So I'm going to assume that it's a real AI fitness coach and it, I'm going to tell it, you know, we'll use a 42 year old male, been training for oh, 10 years and you know they have a mild shoulder impingement let's say and the goal is really functional strength with you know, trying to build up some muscle mass, you know, secondary is, is that representative of a lot of males out there right from you know, lifting a long time from personal injuries that you have, you know, and those are some, you know, activities are pretty normal right now. Watch what happens now. I've, I've, I've gone through and it's a, it's a pre built template that I've pulled together. But you know, the model is, is reasoning, it's looking through contradictions, energy system requirements, periodization principles and really building a program from first principles and seconds.
[00:04:47] It's amazing.
[00:04:48] So with this, it's just a demo that allows you to really just start to focus on what your purpose is going to be. Focus on some things that are looking at generation of training schedules, looking at user provided biometrics and goals, things that you can input into a basic system, you know, developing if you choose to a custom interface you can do ChatGPT or Claude and I'll show you one here in a second. But you know, it allows you to, to really personalize and create your own fitness studio.
[00:05:30] And that's, that's amazing right? Because you know, two years ago, three years ago, there was no way you'd be able to do something like this.
[00:05:38] But what it allows you to do is as you're inputting your information as you are, you know, looking at your, your goals and helping you with your goals as they, you know, adjust over time as you get more strength, as you become more physical, you know, with, with your, your daily routine and activities, it's allowing you to really drive, you know, what your own program is going to be not based on somebody else but based on you.
[00:06:08] Now I've used it, I'll show you a little bit later on on some things that you can do to help tailor it.
[00:06:15] But more importantly I'm going to show you the prompt that I'm Using that allows you to really create this elite, certified strength trainer, conditioning coach. And it's based on, you know, a lot of different information in there that is, that's going to help you remember.
[00:06:32] The more specific your prompt is, the more accurate your, your, your coach is going to be. And that's going to allow you to really start to fine tune and own that. Now, you know, just, just remember, okay, this, it's not necessarily a template for everyone, right? And like everything when, you know, maybe your shoulder's different and it's a knee or, you know, maybe you've got lower back injuries and you can't do certain exercises like Romanian deadlifts or something like that, but you know, it, you've got to remember, just make sure it's tailored specifically to you and you'll be okay. Now notice one of the things that I just did. I, you know, it didn't give me a generic push, pull, leg split type workout routine. It looked at my shoulder and built around it. It's substituting cable flies for dumbbell chest flies. It's looking at flagging, you know, overhead presses and things like that, but really trying to replace some of the things that could lead to other injury. Now, this is a coach's intuition if you think about it, but it's encoded. It's fascinating. Now here's where it gets really powerful, okay?
[00:07:48] The same model, the same, you know, prompt that we're using, if you connect it to a wearable device, you can see that it's going to tell you, oh, I slept five hours and five and a half hours, six hours in my case, maybe three hours last night. And it will continue to adjust based on your intensity and everything else accordingly.
[00:08:10] That's before you even get to the gym.
[00:08:14] That is exceptionally powerful.
[00:08:16] We're starting to look at customization, right? We're customization of programs, customization of activities, customization of sleep habits. Everything that you can do at your, you know, at your own home. You don't have to go out to do some of this stuff anymore.
[00:08:31] Now here's where I want to caution you though, all right? We always try to talk about both sides, okay? Now, an AI personal trainer should not replace a human coach, okay?
[00:08:44] It's making, you know, elite level programming accessible to everyone, but it's doing it in a way that gets smarter over time as you train.
[00:08:56] But there are just certain things that a human, of course, a human coach with a lot of experience can provide to you. That AI just, it just can't.
[00:09:05] And it could be other exercises it could be other, you know, understanding of your, your dynamics that you have between work and kids and school and all that other stuff. You know, AI is only going to be as good as the information that you give it. So if you know it's not informed on all those other things, you're going to have some issues. Okay, so coming up in segment two, we're going to talk about food recovery and how AI is finally solving nutrition problems that have stumped fitness enthusiasts for decades. So stay with us. We'll be right back.
[00:10:02] Foreign.
[00:10:11] Welcome back to AI Today. I'm your host, Dr. Alan Badot. I want to ask you an honest question.
[00:10:16] How many of you have tracked macros for two weeks, felt incredible and then just stopped?
[00:10:25] I know I have because it became a part time job. We got annoyed with it.
[00:10:30] It's not that you're lazy.
[00:10:32] The problem is that traditional nutrition tracking is a pain in the butt. It's designed for data entry, it's not designed for insight.
[00:10:41] AI changes that. Why? Because you can start from the ground up.
[00:10:46] When I talk about AI and nutrition, okay, it's, it's describing really four, a four layer intelligence stack. That's how we're going to do this.
[00:10:58] The first layer is really going to just be around some passive logging. It's things like AI that can identify a food from a photo or estimate portions or even log some of the macros without you having to type in a single number.
[00:11:16] Could be a barcode, could get information from online grocery store, those kind of things.
[00:11:23] That is going to save you a ton of time. And oftentimes, you know, when you look at the averages, it's probably going to be about 10, 15 minutes a day.
[00:11:33] Now the second layer is really going to be around analysis.
[00:11:38] So just, you know, think about it, you know, not that you just ate 2400 calories. That's, that's arithmetic.
[00:11:47] I mean, you know, looking at your carbohydrate timing, maybe it's misaligned with your training window.
[00:11:55] Your Omega 3 to Omega sixes are outside its optimal range, for example, or you've just been chronically low for vitamin D for six weeks. And if you live in the north, you understand what I'm talking about. Unless you take a supplement, that is intelligence.
[00:12:13] That is the kind of information that we want to make sure that we're getting, but we're not done yet.
[00:12:19] The third layer is around optimization.
[00:12:22] This is where the AI is going to go out and it's going to try to create meal recommendations for you. It's Going to try to fit your macros, your preferences, your food budget, your schedule. Maybe you want to cook monster into your oatmeal so you get a flavor. Watch my Instagram. It's actually pretty darn good.
[00:12:42] And then the fourth layer is around adaptation.
[00:12:46] So the system watches your body composition. It's tracking everything, you know, that we looked at in segment one.
[00:12:53] And then it's saying, okay, you know, what are your energy levels? What's your training performance?
[00:13:00] Are you hitting your targets? Is it working well for you? How's it adjusting your sleep, those kind of things. Now, of course, there's always going to be, you know, some missing variable that comes into play, but oftentimes it's really around recovery. You saw yesterday on Instagram and did leg day, right?
[00:13:21] And just trying to figure out is it's still a bad day if it's, you know, if you're having. If you're doing leg day, go watch my Instagram and you'll see.
[00:13:34] Yeah, it still can be a bad day. Right. But recovery is going to be the important piece around that.
[00:13:40] Now, this is a conversation, though, that fitness apps, you know, oftentimes don't want to have at all. It's too hard. It's too hard. For a lot of apps, training is only going to be as good as what your recovery looks like. So today I had to limp over to the gym. I looked a little funny when I was walking. But, hey, it is what it is, right? It's leg day.
[00:13:59] But generally speaking, recovery is always going to be very complex.
[00:14:05] It's looking at a lot of different things that involves sleep, what your sleep habits are. I know mine aren't good.
[00:14:13] I hear it all the time.
[00:14:15] But it's not just duration. It involves your heart rate variability. It's looking at, you know, a direct window into your, you know, your autonomic nervous system.
[00:14:26] It's muscle soreness, it's hydration, it's even, you know, physiological stress.
[00:14:32] All of those things go into recovery, which is why these other apps, they avoid it like the plague. They don't want anything to do with it.
[00:14:38] And so you can get going with certain things. You get started, you're really excited, and then you just completely leave out one of the most important parts of a routine.
[00:14:49] Now, AI models, they're going to be trained, you know, of course, on thousands of athletes, you know, in their data sets, AI. And now using that kind of power, you can generate what a recovery readiness score, for example, could look like. And that could be something that you get every Single morning and with a remarkable recovery.
[00:15:12] Whether or not you train hard, whether or not you know what the intensity is, if you take a recovery day, it's going to help you specifically to what you're trying to do and what your goals are.
[00:15:25] And you get a score that comes along with that, right? If it doesn't matter who wins, why do we keep score?
[00:15:31] That's the, that's the important thing about that. And I want you to pay attention as we're going through this, this demo here, because we are trying to say, okay, these are the different factors that are going into it. These are different, you know, parameters that we've set. All the same ones from the beginning, from the first demo that we, that we showed.
[00:15:53] But now we're going to look at some other things. We're going to look at some, you know, potential lean, you know, muscle gains. We're going to look at more specifically to your training intensity and how, you know, how often you do that, what your logs are for food, what your logs are for your performance. We're going to pull all of that information in and we're going to start to evaluate how, how that is going to, how that's performing. Now pay attention specifically to the prompt that I'm using in this. It's a little bit different because now we're looking at the dietitian side of it and the performance nutrition that AI is going to be able to provide us.
[00:16:33] We're looking at what the daily logs are going to maintain and how that's going to impact what everything else that we're doing, from your training schedules to a heavy day, for example, to a light day.
[00:16:47] Yesterday for me, it was a heavy leg day. And so, you know, I upped the weight by about 25%.
[00:16:54] And, you know, that's. I love those days, but those are, you know, the day after the ones that usually hurt the most.
[00:17:02] But all of that has been generated by AI and that's something that I'm using now. As we look at what some of our expected outcomes are, right, we're thinking, okay, it's got to be easy enough that we want to continue to use it, but give us enough information that we can actually apply it and then we see what those results are going to be, we're going to look at some timing.
[00:17:26] We want to know when best for our bodies and our personal health, when to go to the gym, when to eat, when to car blow, those kind of things. And that's so important because if you try to do all this by pen and paper, it just gets too complex, it's too hard. That's why, you know, a few years ago it was always, oh, pick one. Either do micro or do macros or do calories, you know, do, you know, whatever. The Mediterranean diet, or maybe you want to do the protein only diet, but you can't do all of it at the same time. It was just too hard with AI now, because it's doing all of the hard stuff. It's getting the information, it's populating it, it's doing the analysis, it's showing you, and then it's tailoring things toward you. That's very powerful and it saves you a lot of time.
[00:18:21] So you see the AI and you know, it's what it's generating and the things that it's pulling in. And it's doing this in about a minute.
[00:18:32] That means it's personalized from your data today in about a minute.
[00:18:39] And this is why we say technology isn't necessarily replacing humans, because again, you cannot replace a nutritionist with AI, but what you can do is you can supplement it.
[00:18:54] You can do some of these things on your own. You can ask it questions, you can leverage it, and you know, with a proper nutritionist, then you put that together. That's where you have so much power.
[00:19:07] You know, it's giving every person, if you think about it, access to a level of analysis that only professional athletes would get.
[00:19:18] That's the kind of detail that goes into these types of things. And with AI, it's, it's, it's like many applications, it's abstracting the hard stuff out so that you can use it and you can apply it.
[00:19:30] Now, bottom line, though, okay, as you are working out, no matter what you're doing, you've got to sleep smarter, okay? You've got to eat intentionally.
[00:19:43] Either eat to work out, but let me tell you, don't work out to eat, okay, because it doesn't go well. You're going to gain weight you don't want to unless that's your goal.
[00:19:53] It's not going to work out well for you. You've got to completely recover.
[00:19:57] And you know, the AI isn't just optimizing what your workouts are anymore. It's optimizing your entire ecosystem.
[00:20:05] Everything that surrounds you, it's trying to optimize.
[00:20:10] And that is what's going to create a beast in the gym. It's going to show you the results that you're looking for, and it's going to really help you maintain a product program that is going to evolve with you. And that's what we all want, right? We don't want to plateau. We want to, we want to continue to get better. And this is going to help you all do that. So in segment three, we're going to, we're going to be stepping back a little bit and, you know, from the individuals and we're going to look at what AI means for the fitness industry itself. We're going to think about gyms, trainers, studios, business, health, those sort of things. So stay with us. We'll be right back after a message from our sponsors.
[00:21:11] Foreign.
[00:21:21] Welcome back to AI Today. I'm your host, Dr. Alan Badot. And in this segment, we're going to examine how gym owners and operators, independent personal trainers and fitness studio owners can deploy AI and, and drive client retention, automate operations, personalize marketing, and even deliver better outcomes at scale.
[00:21:47] So the fitness industry generates over $100 billion a year globally.
[00:21:57] It's got one of the, a catastrophic problem, though, and that is its churn.
[00:22:04] You know, the average Gym loses about 50% of new members within the first 90 days. That is terrible.
[00:22:12] 50%.
[00:22:14] That's not a sales problem, that's a personalization problem. So they've been able to get the people that come in, but they can't get them to stay.
[00:22:22] Why? They get frustrated, they don't see results. You know, there's a whole bunch of reasons, but AI can really help them. And we're going to show you how to do that. This is our normal demo screen. You've seen it before?
[00:22:35] Yes. It makes my head a little bit shiny. No emails.
[00:22:41] So let's think about client retention first. Right. Because that's a, that's a good place to start.
[00:22:46] So, you know, AI, you're looking at, you know, using it, you're trying to say, okay, you know, what sort of tools am I going to need to do that? Well, we're going to use Claude, just like the other ones that we've done earlier. We're going to use Claude and we're going to try to predict, you know, I don't know, maybe an 80% accuracy which members are going to cancel before they cancel.
[00:23:09] Now how are we going to do that? We're going to do that by looking at patterns, right. And we're going to check in frequencies, we're going to look at class bookings and cadences, you know, appointment engagements, app engagements, and even the time of day we, when they tend to visit.
[00:23:24] So when a member checks in and what that frequency looks like and when it drops from maybe three times a week to once a week. That's a signal when they stop booking group classes. That's another signal when their app engagement drops off. The AI can flag it and can trigger it. And then maybe a little bit of a human intervention, a personalized message, maybe maybe a free session or something, anything that get them back engaged.
[00:23:54] And that can be from a check in, you know, and a trainer comes over and works with them, something. But these are the types of things that you can use AI for.
[00:24:06] Now, one mid sized gym chain that implemented AI, I don't want to say their name, but they were able to reduce their 90 day churn by about 34%. That's huge.
[00:24:19] And that's not, that's a business transformation right there.
[00:24:25] Oftentimes as they're planning things and hiring and those sort of New Year resolutions, right. You know, all of those things are going to impact that and it impacts hiring and impact stability, it impacts your ability to buy new equipment, those sort of things. You know, it's, it's a big, it's a big deal when you can, you know, reduce that churn by 34% because it means your revenue is going to, you know, be a lot more flat, right. It's going to be, you know, consistent. And that's important for any business.
[00:24:54] So now if, let's look at AI from a personal trainer perspective and this is where we're really going to get, you know, some, some demo interest in this, right.
[00:25:04] For personal trainers, they spend about 40% of their time working, you know, on administrative tasks, writing programs, sending check in messages, building progress reports, whatever that looks like, that can get pretty time consuming.
[00:25:22] Now what's key is that we want to make sure that AI can automate all of that. And so we're going to just, let's just create a template really quick.
[00:25:32] I'm a personal trainer and I would like to automate, you know, building progress reports.
[00:25:50] Me a template.
[00:25:53] Now very simple, very simple prompt there, it's going through, it's turning like it normally does. Right. But the, the important thing is, is if you think about the amount of time that you're going to have that you're going to save, that is going to be the biggest driver around this.
[00:26:09] So if AI can draft weekly check in messages and it can personalize client reports and what their performance looks like, it can generate all these progress reports with charts and recommendations all automatically and it can do this at whatever frequency you're looking for, that is going to be huge.
[00:26:30] Now if you look at this. It's actually created a, you know, client data, generated a report. You can click on any of these, you can see what their information looks like and then you can start to go through the entire process. And it's created this as a mini app for you. It's amazing. You can put in your notes, the report tones recipient and then generate what your progress is going to be.
[00:26:56] That's fantastic. From a business perspective, you are saving more time and that time that you're saving for all that administrative crap you can put into your clients, whether that's more personalized time to, you know, to spend with them. You can do more, more in you know, one on ones with, with clients. There's so many different things that you can do now.
[00:27:21] It's even giving you directions on how to fill it out and how to use it. That's, that's fantastic.
[00:27:27] Now let's, let's go ahead and we're going to do another one here in a second. But you know we're, I want to look at now think about it from a studio AI for like studio operations and even marketing, right. You know, if a class scheduling in a fitness studio, it's. You're never quite sure. It's always a guessing game, right? And so you put in a spin class at 6am and you hope. And what do we always say about AI? Hope is not a strategy, right.
[00:27:57] With AI you can eliminate a lot of that guesswork.
[00:28:00] You're analyzing historical attendance patterns, seasonal trends, instructor popularity, you know, external data like even you could even incorporate local weather and community events and oh, we better not have it on a Saturday in Georgia, you know, because of football games, whatever that is. It gives you the opportunity to create some sort of consistency while being able to tailor it a little bit to the events that are going on around us.
[00:28:34] On the marketing side, with AI you can segment your entire member base and generate personalized campaigns for each micro segment.
[00:28:45] Lapsed gym members, maybe they get a re engagement offer high frequency members, maybe they get an upsell towards some premium, you know, tiers or something. But then you can start to create a war rewards program.
[00:28:59] New members get their first 30 days or whatever that's going to look like or you know, something that can help prevent that 90 day churn.
[00:29:07] It's fantastic in the ability to just pull all of this stuff together.
[00:29:12] Now let's just say we wanted to use again we're going to use Claude.
[00:29:17] Maybe we want to use Claude for the.
[00:29:20] Oh geez, let's see. How about we'll use it for.
[00:29:25] Yeah, let's create a campaign.
[00:29:30] Just drop that in. There's our prompt that we're going to use and we're going to let it go here and let's see what it comes back with.
[00:29:41] I'm going to shrink myself a little bit by the magic of television. There we go.
[00:29:47] Now it's building our campaign. We're looking at ways that we can have multi touch re engagements. Right. Maybe it's a text message, maybe it's an email, maybe it's a personalized offer, maybe it's a three step follow up cadence, I don't know.
[00:30:03] Whatever is going to get them to, to come back, that's the important thing. And as we're doing this, remember we're collecting all of this data and with AI, data is powerful, right, because it gives us the opportunity to analyze it and say, you know what, that campaign didn't work very well. We got no re engagement. That's, that's awful.
[00:30:25] Maybe though, maybe you're able to increase whatever your programs were, maybe you were able to reduce that 90 day churn by a certain percentage. Maybe you were able to do a, you know, a lot of additional programs or you know, additional classes, whatever, whatever your goal is and whatever you're trying to do to re engage your potential clients.
[00:30:47] It's huge.
[00:30:49] Maybe some of those clients thought that they were going to a gym that offered something else and you didn't.
[00:30:56] Maybe it's time to do that. As you get this information back, you've got to analyze it, you've got to look at it and you've got to start to think, geez, there's so much here that I can do with this and it's only taken a few minutes to put in a prompt to be able to generate this. Now of course we wanted to extend it, right? We want more details. Yes, please extend.
[00:31:21] Now it's going to keep generating some additional things, it's going to start looking at skills, it's going to start looking at some other things. But it's the bottom line is, is that the fitness business, it really is becoming a data driven business.
[00:31:38] The operators who understand that and embrace it and embrace these AI tools, they're going to dominate their markets. Why? Because they're going to be able to offer better classes, better timing, more equipment, different types of equipment, different teachers, all of those things. While if you're still back in the, well I guess I could say 20, 20, early 2000s, you're going to get left behind in this kind of Business, that means you're not going to be around very long.
[00:32:16] So we've talked to you about the individual, we've talked to you about the business.
[00:32:23] In our last segment, we're really going to start looking into the future. We're going to look at wearable technologies, biometric AIs, predictive health modeling, the frontier of really what is coming next.
[00:32:38] And I think this one's going to blow your mind. So stay with us. We'll be back after a few messages and we'll let Claude show us what it's finally able to do. So stay with us. We'll be right back. Sam, Right now on your wrist there could be a device measuring your heart rate, could look at your blood oxygen levels, your skin temperature, your movements, your sleep architecture, potentially even blood glucose levels if you have the right sensor, right.
[00:33:45] That device is generating more physiological data about you in a single day than doctors had access to for most of human history.
[00:33:57] That's phenomenal.
[00:33:59] The question has never been can we collect the data? The question has always been, can we make it actionable?
[00:34:08] And that is exactly what AI is solving.
[00:34:13] So in this last segment of AI Today with Dr. Bideau, we are going to look at how we are taking that data and beginning to create something that is truly extraordinary.
[00:34:26] So let me walk you through some cutting bio metric AI looks and how is it, what's the trend patterns as we go into the future?
[00:34:39] So today AI models, they can analyze various, you know, HRV data, they can look at, you know, clinically, you know, validated accuracies. We can detect signs of over training syndromes before you can even feel it. You know, they can track your, your VO2 max trends over time and predict your performance ceiling at its, you know, current training trajectory, for goodness sakes.
[00:35:05] They can even correlate your sleep to your next day's maximum output that you can have. And it can even give you confidence levels, right? I mean these are the types of things that again, we used to see these either with professional athletes, we'd see them in the Olympics and we thought, oh yeah, that's not even possible for us.
[00:35:27] But that's happening today.
[00:35:29] I'm talking even in the next 18 to 36 months, non invasive continuous glucose monitors. When combined with AI, they'll be able to optimize meal timing, they'll be able to optimize carbohydrate loading, they'll be able to optimize a whole bunch of things that it used to require an entire team of sports scientists.
[00:35:54] AI can read muscle oxygen Data, it can use it from a whole bunch of different types of sensors.
[00:36:02] It can embed compression garments and the sensors on those garments, and it can tell you exactly which muscle group is approaching fatigue.
[00:36:12] And that's in real time, and that's during the data set.
[00:36:17] That's, that's crazy.
[00:36:21] The amount of information that we can start to finally make actionable, that we can use and we can improve and we can do it almost in real time.
[00:36:31] You know, this is a special time for us, the human body, of course, you know, it's one of those frontiers that we still don't know, you know, what causes some diseases. We still don't know, you know, even, you know, with personalized therapies and those sorts of things where exercise, where diet, where of course, your nutrition, your sleep habits. How does that all play together?
[00:36:56] We're finally getting to the point where we can get enough data and we can start to analyze it. And the more data that we have, the better your treatments are going to be.
[00:37:05] So it could even be, you know, if we think about predictive injury and prevention. Right. You know, the NFL had their big issues and there was a recent article that, of course, that came out about Cleveland and, you know, some of the injuries that they had there, but the big one was around San Francisco and where the practice facility was and the number of ACL tears that they had because they were practicing under, you know, some, some very large, you know, electrical wires that, that were there. Right. Very close to one of those power stations.
[00:37:40] Now if you start to look at that and you start to say, okay, this could be a great application for AI because maybe we can start to actually prevent some injuries from occurring.
[00:37:54] Computer vision systems, they can analyze movements of people and patterns in real time.
[00:38:01] They can look at your squat depth, for example. They can look at your knee cave, you know, your, your hip drop during a run, for goodness sakes, you know, even identify biomechanical risk factors before they become injuries.
[00:38:17] So paired with fatigue data, and that can be from wearables or any other systems that are available.
[00:38:23] You know, today is a high risk day for hamstring strain, for example, or maybe certain leg exercises or back exercises.
[00:38:35] Over time they can identify, oh, geez, maybe it's risk for a lower back injury. And that can all be based on movement, asymmetries, hand. It can be based on training load accumulations over the past 10 days, for example, or even the fact that you only slept three hours last night.
[00:38:53] For amateur athletes, this is life changing, gives them the ability to really Start to pull all that in, save some money, do some of this stuff on their own. But for professional sports teams, that's the difference between, you know, potentially a team making the playoffs and one that misses the playoffs, or a player that can be there during the playoffs or is on the disabled list.
[00:39:22] Now longevity also starts to become an important factor. You know, maybe you want to take a moment and think about, geez, maybe if I step back, maybe if I do something a little bit different, I'll be able to sustain that. The NFL with CTEs and issues associated with that, it's. It's really, you know, I'll say this. This is what that was one of the driving factors in really trying to improve, you know, all of these sports wearables, right? Because you know, how they could capture CTE and predict it a little bit better and do all those things. Now combined with AI, now you have a partner in trying to solve that mission.
[00:40:06] There are AI models that are looking for accumulated training history. It can be a biomarker trend. It can be your sleep patterns, it can be your stress data. It can be a whole bunch of different things. Maybe it's your biological age estimate, for example, not necessarily your chronological age or your biological age, but it could be your, you know, the number of times that you've been hit in the head.
[00:40:32] More importantly, it can tell you about ways that maybe we can intervene.
[00:40:37] Maybe it's changing the helmets, maybe it's the types of exercises that we're doing and the adjustments around that. Maybe it's the sleep hygiene changes, right? I mean, there's a whole bunch of things that we have to start to factor in to say, you know, now we have the power to measure this stuff. We've got to apply it, and we've got to be able to apply it faster than before it used to be, right? You know, they'd give you some smelling salts and everything would be fine, go back in the game.
[00:41:05] Then it came to okay. Now if there's a noticeable head injury, you know, it's. Until you could have certain symptoms that went away, then you weren't allowed to play.
[00:41:16] Now maybe it's telling somebody that one more and, you know, you could do permanent damage.
[00:41:23] That is the type of information and data that we want, because personalized longevity coaching at scale can start to become available to everyone, especially if you have a smartphone or a wearable.
[00:41:36] That's what AI is capable of generating.
[00:41:40] Now, all of these things, there are a whole bunch of different biometric reporters out there and how they can be interpreted. You know, take one of your tests that you could do online, copy and paste that into Claude or whatever your tool set that you want to use and ask it different questions. You can ask it or use a prompt that says something like, you know, here's my, my wearable biometric data. Can you show me what an interpretation is around that?
[00:42:10] You can ask it for maybe seven days.
[00:42:13] What's the summary look like? You know, I'm getting ready for a Marathon in 11 weeks. How best should I train for that based on the data that I have now?
[00:42:20] There's a lot of different things and a lot of different keys and factors that can go into that. And you can have the AI analyze that for you and pull that together.
[00:42:30] If you look at where we are today versus where sports science was five years ago, the AI that we are using now, it's not an overreach anymore.
[00:42:45] Now it's, you know, potentially identify a problem, identify a training issue, identify something, but at least you can put a corrective protocol together in real time.
[00:42:57] That's, that's unbelievable. The millions of dollars that are at stake with not only the athletes, but of course the teams, then the more that they use these sort of tools, then the better off they're going to be, the more, the greater advantage they will also have from, from a competition perspective.
[00:43:17] So I want you to think about that. I want you to think about all the things that are accessible right now.
[00:43:23] Look at the data, look at the prompts that I provided for you so you can create some of these own tools on your own.
[00:43:31] And, you know, think about, geez, okay, if it's not necessarily today, it's not too far down the road, but how can I use it?
[00:43:40] How can I make myself better? How can I pull that information into my training routine?
[00:43:47] You know, we started the episode, we were talking really about a personal trainer and having a personal trainer in your pocket.
[00:43:55] You know, but I hope what you're leaving with is a bigger idea than that.
[00:44:01] AI and fitness isn't about replacing the human or replacing the human drive to push yourself.
[00:44:08] It's not about outsourcing your discipline to an algorithm because still, fundamentally, we're in charge.
[00:44:19] It's about removing the barriers of access and information that have for decades kept elite athletes way above everybody else and the rest of us at a disadvantage.
[00:44:36] So the person who couldn't afford a nutritionist now has got one. The athlete who couldn't afford a movement specialist, they've got one. The gym owner who couldn't afford having 50% of their new clients leave after 92 days. Now, they've got a way that they can help prevent that.
[00:44:58] So we always talk about the democratization of AI well, now it's about the democratization of Performance Intelligence.
[00:45:11] And again, that's the real revolution that we're trying to produce on this show.
[00:45:15] So I'm Dr. Rideau.
[00:45:16] This has been AI today. We'll see you next time.
[00:45:22] Sa.
