Right About Now with Ryan Alford - Why Generation Alpha and The Age Of AI Will Change Everything with Matt Britton

Episode Date: August 26, 2025

Right About Now with Ryan Alford Join media personality and marketing expert Ryan Alford as he dives into dynamic conversations with top entrepreneurs, marketers, and influencers. "Right About Now" brings you actionable insights on business, marketing, and personal branding, helping you stay ahead in today's fast-paced digital world. Whether it's exploring how character and charisma can make millions or unveiling the strategies behind viral success, Ryan delivers a fresh perspective with every episode. Perfect for anyone looking to elevate their business game and unlock their full potential.     Resources: Right About Now NewsletterFree Podcast Monetization Course Join The Network Follow Us On Instagram Subscribe To Our Youtube ChannelVibe Science Media   SUMMARY In this episode of "Right About Now," host Ryan Alford interviews Matt Britton, author of Generation i, about the sweeping impact of AI on society, business, and creativity. They explore generational shifts from Millennials to Gen Alpha, the rapid evolution of AI, and its implications for work, education, and daily life. Matt discusses the rise of AI agents, the changing value of human skills, and the need for organizational agility. The conversation highlights both the challenges and opportunities AI presents, urging listeners and companies to adapt quickly in an era of unprecedented technological change. TAKEAWAYS Evolution of artificial intelligence (AI) and its historical context Generational shifts from Millennials to Gen Alpha and their characteristics Impact of AI on work, education, and daily life The role of automation and the future of skills in an AI-driven world The importance of creativity and strategic thinking in an AI-augmented environment Societal implications of AI, including potential job displacement and changes in consumer behavior The concept of AI agents and their capabilities in automating complex tasks Challenges businesses face in adapting to AI and the need for organizational agility The potential backlash against AI-generated content and its acceptance by future generations Predictions for the future of robotics and technology integration in everyday life  

AI now has gotten good enough where it can understand what you're trying to accomplish. And with somebody's reasoning models, it'll continue to come back and clarify what you're looking to accomplish and it'll go out and do it. So prompt engineering, I think, is going to be a blip in the AI evolution over time. You still need to understand the foundations and fundamentals of prompting, but it's not necessarily a unique skill set anymore that I would say is in demand and an AI driven model. Speed is the ultimate moat right now. The larger the company, the slower they are. So many companies are set up at kind of the organizational design. It really prevents them from taking advantage of AI.

Because in order for you to really leverage AI, you need to eliminate layers, break down silos, and move incredibly fast. This is Right About Now with Ryan Alford, a Radcast Network production. We are the number one business show on the planet with over one million downloads a month. Taking the BS out of business for over six years and over 400. episodes. You ready to start snapping next and cash and checks? Well, it starts right about now. What's up guys? Welcome. It's right about now. We're always talking about what's now. What's right? That's what we do here on your number one marketing and business show on Apple Podcasts. Two years running.

We appreciate you for making that. We're number 18 in all of podcasts yesterday, Matt. Can you believe it? Can you believe it? I can believe. I'm a big fan. It's a prize you're number one by now. Hey, hey. Thank you. We appreciate it. We've got Matt written. He is the author of Generation A.I. There's nothing more right now than AI. Matt, that's all. I'm a pumped to have you on, man. Yeah, I'm pumped to be here. Generation AI. I mean, very clever title. I was like, have no thought of that yet. Like, you got Generation Alpha, all this. Man, it's like, I have so many things in my head. I mean, I'm like, I contain myself a little bit, Matt, because I know you're a wealth of knowledge on this topic, but, man, Fortune 500 companies, let's set the table. We can do the whole, you know,

what you've done, how you've done it. But let's lead up to today a little bit of, you know, who the hell Matt Bruton is. Well, I've spent my entire career helping large companies kind of decode the new consumer. When I first came out into the workplace, the new consumer was Generation Y, which is known as the millennials, who was the internet generation. That was the first generation I grew up with the internet in the household. A lot of people don't realize that the internet itself is only really 25 years old in terms of being a mainstream consumer consumption tool. Before that, it was used in government and very sparsely in business, but we're still in the

early days of the internet itself. Then over time, it became Gen Z. Gen Z is known as the iPhone generation, also the social media generation, the first generation to grow up with both in a household, which obviously changed society in a big way. And now it's Gen Alpha, which is the AI generation. So right now, Gen Alpha is age zero to 15. They're never going to know a world without AI and a world without technology that you can talk to. So with each of these major changes, what I found is large companies first push it off.

They try to say it's just a fad. And then over time, they either adapt or they get run over. And that's kind of been the theme throughout my career is trying to help. companies not get run over to try to make the needed changes to disrupt themselves from the inside out so it doesn't happen to them. Yeah. The irony is when you were just talking mad made me think of something, you know, like the internet and smart phones or everything. We've really had AI in a pocket for a while, right? Yeah, of course. This, we can call it AI now, but like the moment we had a Google browser that we could search for knowledge and it feed it back to us,

I mean, that was artificial intelligence, right? Right. A computer is breaking down tons of, you know, articles, knowledge that's out there and giving you back the best results. Yeah, I mean, that was an algorithm. And yes, I mean, AI, you're right, has been around, like, if you think about Netflix and it tells you what it thinks you want to watch or Spotify, shows you the music and thinks you're going to like, that is AI.

It's true. It's also true that the Internet existed before America Online came. out. But it wasn't until chat CBT came out that AI was really unleashed to the messes. And the true power of what it can do was unleash. And that's why we've seen such an incredible groundswell of interest and innovation come out since then. Yes. And I do this a lot. Like, I think if you get older, I hopefully get wiser. I try to think outside of my own, like, realm. Because I recognize I've been a marketer, an innovator, and new media guy. And I can sometimes realize that I'm in the know, you know, at a high level on certain things. I always

want to go, like, how aware are people of certain things, right? And with AI in particular, I've been kind of trying to sound on the board a little bit too, not as eloquently as your book, But just saying like, hey, we need it. This is happening. You need to know what is going on because I'm not, what's your guesstimate or estimate, Matt, on like the percentage of people that know, you know, how they should know about AI? Well, on one hand, chatGBT, I think is 100 million paid users right now. So that's pretty mainstream.

It got to 1 million, 10 million and 100 million users faster than any other technology product in history. But on the other hand, I speak at conferences all around the world and I ask people pretty rudimentary questions about AI and capabilities, people really don't have a clue. And I think the reality is most people who do know that AI think AI is just chat GPT asking it, you know, to make a recipe for lasagna, right? Or to write a blog post for you. And they just understand the surface. And I think even the percentage of people to understand the surface is probably not as much as we would think And you're right, we do suffer from Stockholm syndrome, so to speak, like we are already inside of it.

But when you get out there, you really realize that it is such the early days. And the thing about AI is different than other technologies is just the rate of change is mind-boggling. Even people like myself that spend the majority of their waking hours in AI, you know, it's so hard to keep up because its ability to increase its compute power is unlike anything we've ever seen. before yeah that's that's the uh the park that's crazy the speed of advancement i mean i think i mean there's some of these things we feel like happened overnight but it was actually like a 10 year thing you know to be like maximized and now with you know AI and a gentic i which i want to pick your brain on it will get to that but they will start with 101 we'll build the 401 uh to use the textbook yeah but uh it's it's crazy how fast it's moving and i do want to pick

you can bring on that as well. I've got my earmarked topic. So, okay, Gintic AI and then like the energy consumption and what it takes to like go to like some of these next levels. Oh, yeah. All of that where it needs to be the infrastructure. Hold another discussion. But let's talk the book in general. What are we trying to tell people with this book? What are people, you know, going to absorb from this? So the book is a societal view of what I believe AI's impact is going to be. not just AI, but the fact that we have this new generation coming in that knows nothing but AI, right? Because when you have new generations come in whose brains are hardwired differently,

they become the catalyzing force for change. And what the book really tried to communicate is AI's broader impact as a result of both Gen Alpha and this new technology on business culture and society. And I kind of go deep into a variety of different temples and pillars of society, whether it's the future of the workforce and careers, love and relationships, parenting and education, entertainment, and media and commerce. The main drivers of culture and business

are going to be shaken to their very core. And I try to go deep into each of those topics so people really understand the gravity of the shift that is about to really rock society. Yeah. And talk with Matt Britton. And he is the author of Generation AI. Matt, you know, it's interesting.

I told my sons this. I have four boys. And I told them, like, skills, trades, like the trade skill is actually going to get more valuable. Huge. And I feel like that's kind of what you're hinting at to a little bit. It's like, if you're not wanting to be a white collar guy that's tech forward, using these things, everything you said, boardroom, executive, whatever that is, but in a high level, then get really good at a skills trade.

You know, like, become the best builder, plumber, whatever it might be. As well put, I think, you know, we've had this knowledge economy for so long where people were compensated for possessing knowledge, and that could be knowledge and knowing how to code, knowing how to write a contract, knowing how to read an x-ray, knowing how to do someone's taxes, right? But those are all things that AI is going to take the place of workers for. Like, AI arguably can already do your taxes better, write a contract better in most use cases than the professional services world can. And I think if you're not going to be a builder in AI and be a problem solver in AI, then AI will disintermediate you. At the same time,

I think what you've, you know, aptly point out is if you're a problem solver in the physical world, I think that that becomes a skill set that becomes even more in demand. So, yes, the trade skills, I think, are going to have a boom, and they already are. The issue is that many parents aspire to send their kids to these higher education institutions that are predicated on facilitating the knowledge economy. And they're teaching kids skills that I would argue are going to be no longer relevant once they get out. And I, you know, I spoke at the end of last year from 700 college professors who kind of know this

and are just mind-boggled about what it means to be an educator in this world, when they're using textbooks that were written long before ChatGBT ever even came out. You just gave me either the greatest or worst analogy I've ever had. I'm going to go down this road, Matt. You could be critical as you need or if it works, you can tell me it works. If you're like, yeah, right, put this in the bag. Here we go. We used to cook and heat.

I'm going to go down the cooking route because that's what I'm going to. Brian has announced. We used to cook by rubbing Flint together to get a fire. Yeah. The skill of starting that. And then in today's world, we have microwaves. Right. So the equivalent that I'm thinking is like,

I still know how to start this with Flint. Well, that's great. I'm using this microwave so I'd cook for other things while it's going on. And, you know, like, is that a good analogy? That's a good analogy. The best analogy I use is photography, right? So you used to need to know how to develop the film to be a photographer. You used to need to know how to operate these technical DSLR cameras and knowing stuff like ISO and F stop.

And now 99.9% of all pictures are taken on the iPhone. And you just need to know where the point the thing to and pick a filter and how it looks. Now, are there still use cases, professional photographers for weddings, for special events? Sure. Are they dwindling? Yes. What makes a great photographer right now is not knowing the technical skills of how to turn to knobs and the dials or how to develop film, it's actually having an eye on where to

point the camera to. And AI is the ultimate analogy for that is where do you point AI? How do you unleash its power? You no longer need to know how to do the knob and dials because that's all beneath the surface. Yes, that's the, I think I took it one step. You took it nine more. That's, uh, that's why we've got it. But to your point, Ryan, one day, like one thing we're going to see, I think three years out is a boom in robotics. So AI has evolved incredibly fast. The hardware side of AI hasn't, and that's just because of the physicality of hardware

and the development cycles are longer. But what's going to start to happen is you're going to see a new range of hardware, whether it's toys that kids can talk to. Like, I'm sure you've seen the movie Ted. Like kids are going to be able to talk to their toys and they're going to remember things about the kid and they're going to be friends with their toys.

Sounds crazy, but they will. And you're going to have robotics in the household. And at first, robotics are going to mow your lawn and maybe cook for you, but over time, it's going to take your kids to school. And if you think about it, autonomous vehicles, robotaxies are basically that, but they're just going to be a robot inside

that's going to hold your kids' hand and walk them to school. We are going in that direction. Robotics are going to be taking over society in three to five years as soon as the hardware cycle catches up with the incredible software cycle of AI. Yeah. It's going to be interesting what happens with, like, the smartphone.

We kind of hit You know, I, I've, early in my career, middle of my crew, what do you want to call it? I'm so in the middle of my career, Matt. Yeah. I'm young guy. You sure. I know my soul. But worked with Steve Jobs teams on the first iPhone launch with Verizon and AT&T and all the other

wireless companies, worked with Motorola and all these. But then, and we had all these new innovations happening on, on the device. And that cycle is slow. Oh, yeah. Like, there's not a lot of innovation. It's like, oh, one more megapix. A better camera, slightly thinner. Yeah, exactly.

And so that's going to be transformed, I think, with hardware, like you're saying, that's lagged with fully integrating this and voice and all that stuff, right? 100%. I think the only, I think the future of, I thought a lot about hardware because I have a device called Limitless, which is basically like a pendant that you can either wear or like put on your laptop. And when I'm in the office, I use it and it records every single thing to everybody says during the day. At the end of the day, gives me summaries of what I said I would do, creates a to-do list for me, even adds things to my calendar, right? So it's listing at all points. It almost performs like a second brain. And over time, I can go back to and say, what did I tell Joe that I would do when we met a couple weeks ago and I'll know it instantly, right?

So I think that's one kind of early marker of the future of hardware is a device like that. But if you think about the AirPods, the AirPods are one day, and whether Apple makes or another company, is it going to have a camera in them. So it's going to see what you're seeing. It's going to be able to obviously listen to you, and you're going to be able to hear. So with those devices, the only thing that's missing is a screen.

Because once you have the screen, you basically replicate everything the iPhone does. Now people can say, what about a keyboard and voice recognition is getting so good, then I'm not sure we're going to be typing for that much longer. And if we're not typing for that much longer, Should kids even be taught to spell? I mean, that's a whole different question that maybe we can get to.

So what does that mean? It means, well, how do you get the screen? Well, if you see what Meta and Mark Zuckerberg are doing with their new, you know, MetaVision Pro, not MetaVision Pro, the meta, gray band glasses is they're creating mixed reality, where if you're wearing sunglasses, you can see a screen that's overlaid. So if you're wearing glasses and you have AirPods, it basically can replicate what the iPhone does. So the question is, is the future going to just be wearables? And we're going to be looking back at a time where we're holding up our phone all day as kind of like agent history. I think we will. I'm going to ask a question before I want to get into kind of 201, 301, 301, agentic territory.

You brought up the interesting thought of do we learn to read, you know, like, is it a waste of time to be learning math? like if the computer does it for you why do we need to know math it's like i don't know question right now now there was a time when people would say you're crazy if to hear some of your points earlier if you didn't learn how to milk a cow growing up right or how to create fire so you know i think reading and spelling i think is important because it's probably the foundation of how we communicate but when you talk about math you know or calculus or, you know, these kind of trigonometry, these advanced theories of mathematics, these are things that humans just aren't going to have to do anymore.

And I would actually put coding in that territory. If you look at open coding jobs in the United States, it's dropped like a stone. Companies are not hiring engineers anymore because AI knows how to code quicker, better, faster than humans. And if it's not 100% there today, I promise you it'll be there a year from now. coding is really not a skill humans arguably were ever supposed to learn because it's not human language, it's computer language. And now AI is going to be able to, based on any prompt, create any technology-driven product, software-driven product you want just to a simple prompt.

So that's a perfect example of something that people probably won't have to learn for much longer because basically it's all going to be done for you. So I would put math in that same category. Now, there's the critical thinking component behind math, understanding how to solve the problem and maybe math is more of a means to an end and maybe it always was but I think it's a really interesting point. Exactly. I told someone the other day, you know, if you can't, like if I'm interviewing someone or I'm talking to someone that's wanting to get a job with me or someone else, if you can't blow my mind with the prompt, it might, I might tune out. And if you aren't using an agent to do some task for you, you're probably not getting hired at all.

Yeah. And prompting is, and we're probably going to get into this now, but prompting is really just the tip of the iceberg in terms of how to use AI. It really is very much of the world. 18 months ago, it was prompt engineering. Yeah. I don't think that's a role anymore because AI now has gotten good enough where it can understand what you're trying to accomplish. And with somebody's reasoning models, it'll continue to come back and clarify what you're looking to accomplish. and it will go out and do it. So prompt engineering is kind of, I think, is going to be a blip in the AI evolution over time. You still need to understand the foundations and fundamentals of prompting,

but it's not necessarily a unique skill set anymore that I would say is in demand in an AI-driven world. Yeah. Creativity has never been more valuable, and that won't get lost. And so in this strange way, we have so much convenience. We've been taught all this convenience and ease and all these things, and that's a wonderful thing. but it's also gotten as comfortable and not sort of pushing ourselves to creatively think, you know? It's a great insight. Yeah.

It's, that's a strange world. I've talked about that a little bit on the show. I'm like, in some ways, it's wonderful that all this tech and all these things, easy. Hey, what the easy button, the worst advantage of by staples. I mean, but the funny, it's like, yeah, but you know what? when jobs are you know getting eaten up maybe that easy button wasn't so uh that lunch wasn't so good and you know what it's like i i give a lot of talks to universities and professors and people that work at colleges and they're like well isn't it bad that artistry is going away and isn't it bad

that we're devaluing creativity and my answer's always the same is it doesn't matter if it's bad or good we're not going backwards the train has left the station people aren't going to stop using AI because it's bad for humanity. And there is going to be a lot of negative consequences, job loss include it from AI, but it could cure cancer, right? There's so many things that it can unlock. And that's been the case with every technology. It's always become demonized. There's always been people that have been fearful of it. But it advances society. And we just have to accept it because it's here whether we think it's good or bad or otherwise. Yep, 100%. That's right. take with. All right. Let's talk about agents. Agentic AI. So you've got prompts and ask you to do things

now with agentic AI, we've got them actually, I would almost call it the implementation, the acting upon what is generated in a way, right? So basically, I would say right now there's really three levels of AI that most people need to understand. The first, the 101, if you will, is the call and response, which is like you put in a prompt, you get an answer. And that's just like a better version of Google in a lot of ways. And it's obviously, it's conversational and it does a lot, but anything you need to know in any format, you could ask chat GPT or GROC or Klaude or Google's Gemini, and you're going to get the answer back. So that's kind of the 101. 211 is automation, where you can use a tool like Zapier, for example, or make.com or NAN, where basically you can say,

I want you to take this Google Sheet, extract these three lines from the Google Sheet, write a blog post about that, and post it. And that's kind of an automation where basically you build these steps where AI is kind of the blood, if you will, in between the organs of the individual applications that you're using. And I'm talking about any application. It would be Google Drive, Google Sheets, you know, Instagram. It could even create content for you. and I've done a ton and built a ton of automations for my company using tools like that. Agents are the next level because while automations are deterministic, you're basically setting out what it should do.

This is what you do, step one, two, three, and four. Agents, you're giving AI autonomy where based upon the inputs, you're letting it decide what tools to use and how to accomplish things for you. That's one. And the other things agents do is they actually can interact with the output. outside world. So I want you to plan a trip with my four kids somewhere where it's at least 80 degrees and there's a 10% less a chance or less of rain. And here's my budget and here's a part of the world. And I want you to book the entire trip for me. And it will then take agency,

if you will, based upon everything it knows about you to not only do the research for you, but actually go out and book the entire trip for you. And if that actually involves it making a phone call and using an AI agent to speak to somebody at the Ritz Carlton, it's going to do that for you as well. And when you start to think about the implications of that, an AI agent, you could also take over your computer for you and it can start actually doing things on your computer and it starts to really replicate a lot of what you and I do all day. So it's both scary but incredibly fascinating and if used the right way, can make us way more

productive. Yeah. In a world where you don't know what's real and what's not, will there eventually be backlash? Is there going to be a social media network that just goes, we're the real network. There's no AI. We only want authentic relationships and people. It doesn't feel like that's far off potentially. Yeah, I mean, a backlash or an opportunity. If you look at the organic food industry, right? There's people that will go to Whole Foods and spend a lot more money for food that they know is organic, right? So I do think there will be industries and niche business opportunities that for sure

allow, you know, allow people to have the confidence that it's all real human, right? The question is, how nostalgic does that become over time? Is that going to be the equivalent of people going into a vinyl store today, right? We don't know because society. is so conditioned now to listening and streaming music that, you know, all of a sudden vinyl, even though maybe the sound and the fidelity is so much better, it's looked at as sort of like a niche, nostalgic hobby. Will us consuming real content from real humans be that one day?

I don't know the answer to. Yeah. It's interesting because, you know, right, when we're recording, you know, there was a big backlash some new album that's like risen up to charge. I heard about that. AI generated band for the most part. They're like trying to say it's not, but I think it pretty much was. But you're saying, it's a backlash, yet I think I read that it's had like 400,000 downloads or stream.

So people can choose not to listen to it, but certain people obviously enjoy it. Yeah. And I mean, do we, I know my dad who's been in a band his whole life, I can play instruments, would probably fall over on some level. Of course. Here to me say this, but if I can hit a button and I'm on stage and it strums the most beautiful guitar lick of all time, does anyone care? I mean, maybe. You know, they appreciate the talent. The talent was, do you appreciate the talent of me knowing how to work my fingers and make them bleed or what it took to push, put it into the buttons into the queue of my mixer or whatever, like you said, the DJ? And the crazy thing, Ryan, is like, we're talking about you and I, and then we're talking

about our parents, but what about Gen Alpha, who never knew a world where people were playing real instruments? They're not going to yearn for something that they've never experienced. So if their only world, they're going to know when it comes to entertainment content is synthetically generated entertaining content. And for them, they're going to love it and maybe they'll want to look back nostalgically at a time like today where there were still bands

that used real instruments, but who knows? So that's the reality. That's what I'm so fascinated with Gen Alpha is all these things that we know, our worldview, is irrelevant to the worldview of somebody that's grown up

and born into society with this new technology present at a point as early as they can understand what it all meant. Yeah. I want to close out with a couple questions,

Nat, on two levels. One, a consumer level, one kind of business level. I know you counsel businesses at the highest level. You know, what are you telling, and it's probably applicable, you probably can make the answer applicable with small, medium, more large business. Yeah, 100%. What are you telling, you know, the largest and most, you know, prominent businesses you talk to that they should be doing,

how are you counseling them? And I'll give you the second part, which is just, what would you say to the consumer out there with, you know, that's either in the workforce or has children, There can be a lot of different perspectives. So speed is the ultimate moat right now. And the larger the company, the slower they are. So whether it's bureaucracy or legal concerns or data privacy or just middle management layers,

so many companies are set up kind of the organizational design really prevents them from taking advantage of AI. Because in order for you to really leverage AI, you need to eliminate layers, break down silos, and move incredibly fast. So less is more, which is why you're seeing the smartest companies in the world reduce their workforces, right? But you're not like the Amazon's of the world and the Microsoft of the world and meta, right? But a lot of other companies aren't doing yet because they're seeing the future while other companies don't. Now, I'm not suggesting, I don't tell companies they should cut their staff, but they need to reorganize in a way where they're eliminating bottlenecks and breaking down silos so they can move fast because it's easier than ever to build a great technology and get going and compete with far less people. You know, Sam Altman, the CEO of OpenAI, you know, behind chat, GPT said he thinks we're going to see in the next couple years a one-person company worth a billion dollars. So think of how many companies that have thousands of people that aren't worth a billion dollars.

So that's the biggest change I think needs to come is organizational design. And of course, with that, just a completely new realm of skill sets that need to be adapted by people in order to be successful at an organization. So organizational design, the right skill set, and the right vision and leadership is really what it takes to adaptably evolve throughout this. and many companies won't. You're going to see so much roadkill, so many blockbusters, if you will, and Circuit Cities come out of this because the ability for a new entrant

to compete faster than ever is unlike anything we've ever seen. I'd love to read you the two pages. I started my agency Radical about nine, about nine years ago to the day. The first two pages was literally, you know, marketing at the speed of now. Yeah.

And it was literally, I was like, speed will be our differentiator, creativity will be our fuel. And it's just funny, like, none of this AI shit was even here. But you could see that coming, the nimbleness, the necessary to sort of take advantage all of this. And that's, that's it, really. Like, what you just said, like, it's so funny how, and I understand it. I mean, you know, it's easy, you know, for I guess us talking heads to, to say these things. And when there's a, you know, a million dollar lawsuit behind every corner, but you've got to move fast, man. It's like too much thinking, too many layers, too much red tape and everything.

And a lot of that takes courage as a leader. So if you're leading an organization, if you're leading a mid-sized agency, you're going to have to make some hard decisions and you can't be fearful of change. And I think it's like you need to focus on the things that are important, not necessarily urgent. Like in other words, you can operate your business this week or this month. the same way as you have in the past, but it's death by a thousand cuts. But there's never a good time to say, you know what, we really don't need these jobs.

We need these jobs. We don't need these departments. We need to combine these departments. There's never a good time to do it. But actually, the rally is the best time to do it is now because if you think AI is changing the world today, like we have no idea where we're going to be, again, one, three, five years from now. Yeah. If you fear change, it's going to bring a lot, a fear of something a lot worse.

Yeah. And a lot of big, big companies are run by CEOs, you know, in the late 50s, early 60s with golden parachutes that just don't want to shake things up. So, and that leadership might be okay for them because they're going to be retired in five years. But for the rest of the company, they're going to be in such a disadvantaged place because of the lack of change that's been embraced. Yeah. I mean, they don't have to get uncomfortable when you've got a five-year runway. Right. The worst thing that can happen to them is maybe it's not as cushy, you know, when they finish. But there's not the possibility of absolute failure. And so they don't want the discomfort of what that change looks like.

100%. Matt can talk to you all day about all of this. Tell everyone where they can learn more about book, find it, find you, all those things. Yeah. So my book is called Generation AI. It's anywhere books are sold. You just go on Amazon or anywhere else it sells books and type Generation AI and you'll find it. To learn more about me, you can go to Matt Britton.com.

M-A-T-T-T-O-N dot com. We'll have all of that in the show notes. And I'm going to hold Matt on and twist his arm. See if he will do a weekly news show. I'd like to have you. I guess a specialist come off. We'll tend some 10-minute segments every now and then. We've got an AI story if you want to.

I'd love that. It'd be awesome. Matt, hey, can't wait to build on. our relationship, really appreciate you coming on the show. Your wisdom is enormous and I really love the way you delivered. Thanks, Ryan. Appreciate you and thanks for having me on. Hey, guys, you're going to find us. Ryan is right.com. You'll find all the links to Matt's book, his website, and how to keep up with him. We appreciate him for coming on. Before than that, we appreciate you for making us, number one. We'll see you next time. All right about now.

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