What You Desperately Need To Know About AI (2468)

What you refuse to learn today may replace you tomorrow. In this episode, Kevin and Alan talk about AI, technology, reinvention, and staying valuable in a changing world. Alan breaks down exponential change, digital disruption, and why waiting too long makes reinvention harder. Kevin brings the real concern many people feel as automation keeps moving faster.

This episode is for anyone serious about self-improvement, career growth, leadership, and long-term success in an AI-driven future. Build the skill before the world exposes the gap.

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Show notes:
(2:25) Alan’s background in technology and engineering
(4:05) The future will not wait
(6:45) Understanding exponential change
(10:25) The jobs most exposed to AI
(13:22) Learning to spot future trends
(18:28) Why staying the same is risky
(21:42) Start reinventing yourself now
(22:59) Use fear constructively
(24:04) Leadership will always matter
(25:27) Outro

🎙️ Hosted by Kevin Palmieri and Alan Lazaros

Next Level University is a top-ranked daily podcast for dream chasers and self-improvement lovers. With over 2,100 episodes, we help you level up in life, love, health, and wealth one day at a time. Subscribe for real, honest, no-fluff growth every single day.

Transcript

Kevin Palmieri

(0:00) I have heard so much about AI over the last however many years, you've probably heard way more than you want to hear about AI. (0:08) And many things you hear are how it's going to take this job and replace this and make this part of life easier, but also make this part of life harder for other people. (0:17) And we said we were going to do an episode on it because I think that, I don't know, it's valuable.(0:22) It's important to have a conversation about it, especially if we can figure out what it means for you and maybe potentially warn you of something that you can shift and adjust based on today's episode.

Alan Lazaros

(0:36) The world has changed more in the last 30 years than the previous 300. (0:42) It's actually not even close. (0:44) People talk about dog years, seven years for one year.(0:49) Their technology years are like that. (0:51) It's a good metaphor. (0:52) And if you don't understand technology and how it works and Moore's law and AI and how quickly the law of accelerating returns happens, you will be replaced.

Kevin Palmieri

(1:02) Welcome to Next Level University. (1:05) I'm your host, Kevin Palmieri. (1:07) And I'm your co-host, Alan Lazaros.(1:10) At NLU, we believe in a heart-driven but no BS approach to holistic self-improvement for dream chasers.

Alan Lazaros

(1:16) Our goal with every episode is to help you level up your life, love, health, and wealth.

Kevin Palmieri

(1:23) We bring you a new episode every single day on topics like confidence, self-belief, self-worth, self-awareness, relationships, boundaries, consistency, habits, and defining your own unique version of success.

Alan Lazaros

(1:39) Self-improvement in your pocket every day from anywhere completely free. (1:45) Welcome to Next Level University.

Kevin Palmieri

(1:51) Next Level Nation today for episode number 2468, What You Desperately Need to Know About AI. (1:58) Okay. (1:59) We set a timer for 20 minutes.(2:01) I'm going to interview Alan on this. (2:03) Now, while Alan doesn't have a AI specialist next to his name, he is somebody who understands AI. (2:11) You've been in corporations and companies that literally build technology to make things better and automated and faster so the company can make more money, all that heavy jazz, right?

Alan Lazaros

(2:25) Let's provide some context because I think this matters. (2:27) You remember Nick Doucette? (2:29) Yes.(2:30) Nick Doucette was, I mean, everyone thought he was a genius. (2:35) I didn't think so, but I think he's very bright. (2:37) He worked for SpaceX and he connected with me back in 2013, back when SpaceX was in Hawthorne, which is like Southern California area.(2:49) I was in LA at that time and I was looking for a job and I ended up dealing with some family things going home back to the East Coast. (2:55) But the point is those types of people have always been my people and I worked at iRobot in Bedford, Massachusetts. (3:06) iRobot was at one point one of the most successful consumer robotics companies on earth.(3:12) They're not doing so well now, which is hard to hear because that company was fucking awesome. (3:17) But yeah, no, I mean, we were mining for Bitcoin in my dorm room in 2007, so I still don't understand. (3:22) I'm a tech, like the ultimate tech nerd.(3:25) There's very little about technology that I don't completely understand. (3:30) And if you say that to, yeah, I mean, I've just been in those rooms. (3:34) That's it.(3:35) I've been in those rooms.

Kevin Palmieri

(3:35) Well, it's good. (3:36) I think that context is important because I don't know anything. (3:38) I know stuff about AI, but I cannot tell you where the future is going.(3:42) You know where it started? (3:43) Alan Turing. (3:45) Alan Turing.

Alan Lazaros

(3:46) That sounds very familiar. (3:47) The Turing test. (3:49) So if you were a robot, the Turing test is, can you convince me you're not?(3:56) Yeah, I could.

Kevin Palmieri

(3:59) For sure I could.

Alan Lazaros

(4:01) Yeah. (4:02) Okay. (4:02) So where do you want to, what's the core of this?(4:05) The core of this for me is like, if you don't understand technology and how much it's going to change our lives, whether you like it or not, you will not have a fulfilling future or a successful future also.

Kevin Palmieri

(4:16) That, that's my, my, I guess my thought is like, rather than being very specific and saying like, if you're, if you're this occupation, if you're this occupation, what does now, again, if you're watching this, you want to be more successful. (4:35) Okay. (4:36) So like, if you hear something along the lines of, it's going to take less, um, challenging jobs or jobs that require less education or less mastery, like that is not a shot at you.(4:52) That is not, that's not what it is. (4:53) It's just, there are certain things. (4:55) I went to pick up a prescription for Tyrone the other day at, uh, there's CVS in Target near us.(5:02) I didn't talk to the pharmacist at all. (5:04) There's a iPad, first name, last name, date of birth. (5:10) Uh, are you the person picking it up?(5:12) Yes or no? (5:13) Cool. (5:14) There you go.(5:15) Click the button. (5:15) They come over, they bring you the bag, nope, nope, nothing. (5:20) I had to do nothing.(5:21) They bring over the thing. (5:23) The guy was on the phone the whole time. (5:25) He said, have a good day.(5:26) I said, thank you. (5:26) You as well. (5:27) That was it.(5:29) At one point that, if I said that to you, you'd be like that. (5:33) There's no way. (5:34) There's no way I never would've.(5:36) I know you wouldn't, but fuck, fuck off. (5:37) That's not the point of the episode. (5:39) You go, you go to, I have not been inside a McDonald's.(5:43) I'm not throwing shade at McDonald's. (5:45) Do the drive-thru. (5:46) I haven't been inside McDonald's in a long time.(5:49) I went in like six months ago.

Alan Lazaros

(5:51) Yeah.

Kevin Palmieri

(5:51) Everything is, it's insane.

Alan Lazaros

(5:54) Yeah.

Kevin Palmieri

(5:54) Everything is virtual. (5:55) Everything is on screen. (5:56) You don't talk to anybody.(5:57) They just put your phone, your food on the counter, bada bing, bada boom. (6:01) All of those people are in trouble because at some point McDonald's going to say, perfect. (6:08) We get everything we need.(6:09) We'll have one person there in case things go wrong and everybody else, we don't have to worry about sick days and we don't have to worry about insurance. (6:16) And now again, in your mind, whether that's right, wrong, or indifferent, that's not the point. (6:21) As a grand understanding from your perspective, what is going to happen?(6:28) Like, what is the chapter one AI it's coming for you? (6:32) Like, what is that chapter? (6:37) Because I just don't, it's going to affect every, like, it's going to affect us.(6:40) Like we're a podcast production company.

Alan Lazaros

(6:42) Yeah, of course.

Kevin Palmieri

(6:43) Right. (6:43) So like, it already is. (6:44) Yeah, it's, it already is.(6:45) It's important.

Alan Lazaros

(6:45) We had a question about AI in our group coaching group today. (6:50) Uh, okay. (6:51) Uh, it's very hard to set the stage here.(6:55) So way back, there was something called Moore's law and I did electrical and computer engineering at one of the top engineering schools and colleges in the world. (7:05) So my point of that is not me. (7:10) The rooms I was in was very oriented toward this.(7:15) So I just happened to be, I got exposure very young to all of this, built my first computer when I was 12, Apple versus Microsoft. (7:23) I mean, my buddy Kiki, we're looking at Silicon Valley, like where we're going to move and start a company last core. (7:29) Uh, so, so this has been my whole world.(7:32) And then the gaming world, obviously tech built building computers, all kinds of stuff. (7:37) So Moore's law says that every year the power of a machine doubles and the cost gets cut in half. (7:48) And if you double a penny every day for 31 days, it becomes $10.4 million. (7:54) But halfway through it's like six bucks or something. (7:57) Right. (7:57) So it blows people's minds.(7:59) One example is if I take 30 steps, I'm 30 feet away. (8:06) But if I take 30 exponential steps that are doubling, I think it's over a billion.

Kevin Palmieri

(8:11) Well, I think the best example for this is your fucking TV. (8:14) You can go. (8:15) I went to a target again, not, not long ago.(8:19) And I was like, I can get a 75 inch TV, 4k 500 bucks.

Alan Lazaros

(8:24) Yeah. (8:25) I got one. (8:26) So I have a 75 inch that I got for, I think it was Vizio and Walmart partnered.(8:30) So Vizios are cheaper at Walmart. (8:32) You went to target.

Kevin Palmieri

(8:33) Yeah.

Alan Lazaros

(8:34) Right. (8:34) So I think it was like 25 or something that would, that would have cost you $15,000 in 1970. (8:40) It wasn't even a thing.(8:42) And you, I always send you these things like Game Boy and PS1 because I want you to see like how rapidly things have changed. (8:50) Because unless you look back, you don't see that the day to day, you don't really notice. (8:54) But 10 years ago, most of these, like a lot of these companies we use every day, like didn't exist.(9:01) And if they did, they were very small. (9:03) Right. (9:03) Like, so when I hear 2010, I think like, Oh, that wasn't that long ago.(9:09) It's like, that was 16 years ago. (9:10) And 16 years matter a lot. (9:12) Emily and I are six years apart.(9:16) Those were a very important six years because it's not just six years. (9:21) Like if you picture, and if you like history, you know this already, but like, let's say it's 1700 and Kevin and I are boys. (9:29) We farm and we need to cook our food and grow our own food.(9:34) And, you know, maybe we live in France or we live in the U S whatever the U S doesn't exist. (9:39) So we don't live in the U S the colonies. (9:43) The point is, is like nothing changes in six years, like in six years, nothing changes.(9:48) It's exactly the same in six years now. (9:51) I mean, the entire globe is different. (9:54) And so I think that's the core of what we should talk about.(9:57) Now let's go back to AI with the original question. (10:00) Chapter one of AI is, I think the first thing to understand, again, I'm philosophical, like it's a tool that can be used for good or for bad. (10:12) Do you want this to be based on like, who's in trouble?(10:16) Do you want me to get specific about who's in trouble? (10:18) Yeah.

Kevin Palmieri

(10:19) But like, can we, how do we categorize it?

Alan Lazaros

(10:25) Anything digital is in more trouble. (10:28) So believe it or not. (10:29) So, so back in the day, Kev was quote unquote, blue collar and I was quote unquote, white collar.(10:34) And we had a trade school nearby called BVT, Blackstone Valley Tech. (10:38) And people who went to BVT, it was, it was said, you know, would be worse off, quote unquote, that's not true at all. (10:47) Because if you study robotics at all, robots, walking, talking robots are there.(10:55) They're, they're everywhere. (10:56) They're going to be everywhere much more than people think. (10:59) I think it's taken a long time.(11:00) People are scared of them, but at the end of the day, they can do laundry and they can like fold laundry, but they're very basic right now. (11:08) They're not super sophisticated. (11:09) So any, the guy who came and did my HVAC, like he's not going to be replaced for a very long time.(11:15) But the people I went to school with, the computer engineers that code, gone. (11:19) Now you better learn to lead people and you better learn to lead people quick. (11:23) And people say, AI is not going to replace you.(11:25) People using AI will. (11:28) Right. (11:28) So you have to learn how to use technology.(11:31) If I could give one blanket statement that is going to come off harsh, but it's to help you not to hurt you. (11:37) If you don't learn technology, you are fucked. (11:40) Like that's, I'm trying to say that to trigger you on purpose.(11:43) Like you're, I'm not concerned at all. (11:47) I know, but I'm also, I, 15 years ago, I was like, okay, leadership is going to be the future because leadership is the hardest thing. (11:59) And I learned through, cause there was kids in my school that were better at programming than me.(12:05) There were just genius people that I was like, okay, I'm not like you. (12:10) I am, but in a different way. (12:11) And I'm not going to do that.(12:13) So I'm going to have to be, I'm going to have to differentiate myself my whole life. (12:17) I've been focused on like, how do you differentiate yourself? (12:19) Right.(12:19) Because if you're a basketball player, you have to, like, if you're not tall, you have to learn how to shoot threes and you have to learn how to dribble. (12:27) Like who was the best handles in the game was like, who's the one who's short. (12:33) Who's a really good point guard.(12:34) I don't know. (12:35) Allen Iverson. (12:37) Allen Iverson.(12:38) Yeah.

Kevin Palmieri

(12:38) Okay. (12:39) Fair.

Alan Lazaros

(12:39) But it was, who's the other one?

Kevin Palmieri

(12:41) Well, there was Muggsy. (12:42) 6'2 is actually small. (12:43) Yeah.(12:44) Well, that's what I'm saying. (12:45) Wasn't he like six? (12:46) That's what I'm saying.(12:46) Yeah. (12:48) I'm not saying he was as tall as I was. (12:51) There was Muggsy.(12:51) There was Muggsy.

Alan Lazaros

(12:52) There was, um, who's the one with that's really famous that, uh, Paul, rappers rap about him all the time. (13:00) Chris Paul. (13:01) Yeah.(13:01) Chris Paul. (13:02) And he had the best handles in the game. (13:04) He had to develop extra skills because Shaq didn't really need skills.(13:08) He was, and again, if he did need skills, it's not like he didn't need anything, but he could just like, yeah, he doesn't need the same skills as Paul, uh, Paul Allen, Chris Paul, Chris Paul, Chris Paul. (13:17) Yeah. (13:18) Paul Allen is a poet or something.(13:19) Edgar Allen Poe. (13:20) All right. (13:21) Let's get back to it.(13:22) My point is, is you have to look into the future, your future, and you have to figure out what is going to matter. (13:30) And, and again, I know this is a stupid fucking quote, but you got to skate to where the puck is going to go, but it's going to be not where it already is.

Kevin Palmieri

(13:39) So that's the point of this episode. (13:40) I was like, how do you know that tech?

Alan Lazaros

(13:43) Dude, what do you, when I had a, I had 160 grand in a Vanguard portfolio when I was 22. (13:48) And I, I tried to explain this to people. (13:51) It's the people like, well, how did you do that?(13:52) It's like, I just knew what would win. (13:55) And they're like, well, how do I know? (13:57) Not you.

Kevin Palmieri

(13:58) What do I look at trends? (14:02) Okay. (14:02) Dex layer patterns.(14:05) Where do I start?

Alan Lazaros

(14:08) Cause so, cause I, okay.

Kevin Palmieri

(14:11) Yeah.

Alan Lazaros

(14:11) Research. (14:12) You look at, you look at the trends of industries. (14:19) Okay.(14:19) I've never talked about this so loud. (14:21) So this is hard. (14:21) I mean, I have, but not on a podcast.(14:23) You just look at the whole world and then you look at the anomalies and you look at what's going to win it. (14:30) Okay. (14:30) So Kmart, like obviously gone.(14:32) Right. (14:33) Why? (14:33) Why?(14:35) So there's a chain Kmart or Walmart? (14:37) Walmart came up in tech. (14:39) Walmart has excellent tech.(14:41) Yeah. (14:41) Oh, uh, deliveries. (14:43) Are you kidding me?(14:44) Like Walmart's really good. (14:45) Walmart plus the app is good. (14:47) I use it.(14:48) Right. (14:48) So you invest in Amazon. (14:50) You don't invest in fucking Best Buy, you know, and Best Buy has kind of come up, but they're in trouble.(14:56) You can tell. (14:56) Right. (14:57) Is that just me?(14:58) That's you can't tell.

Kevin Palmieri

(14:58) Yeah. (14:58) No, I, I probably can, but I've learned. (15:01) I, it's not natural.

Alan Lazaros

(15:02) Yeah. (15:03) I just look at stuff and you just observe. (15:05) You just, you take everything in and you like cinemas are fucked.(15:09) Absolutely gone. (15:09) Like cinemas are, they're not a chance. (15:12) There's nothing we can do.(15:14) Everyone's going to stay home. (15:15) Like, Oh, you know, I really want to hang on. (15:19) Like it's over guys.(15:20) The newspaper's over, like get over it. (15:22) It's all like, you just can't, you can't. (15:26) Now there will be a select few cinemas that do well because of old people who like really want nostalgia.(15:33) Yeah. (15:33) Nostalgia.

Kevin Palmieri

(15:34) Like there's nostalgia industries, but you're not going to like, we had a, we had a theater near us. (15:38) Tara and I loved it. (15:39) It was called Chunkies.(15:40) Dude. (15:41) It was, um, they would show all sorts of movies. (15:44) They literally had like a very extensive menu.(15:47) You get like hamburgers and cheeseburgers and, and it wasn't set up as a movie. (15:51) It was set up with old, uh, seats from cars on wheels. (15:57) Cool.(15:57) It was fucking awesome. (15:58) Went out of business. (15:59) Yeah, of course they did.(16:00) And it was cheap. (16:01) It wasn't super expensive. (16:02) It was the best.

Alan Lazaros

(16:03) That's probably why they went out of business. (16:06) Well, can we, let's go into that because I know we were supposed to talk about AI, but this is about technology in general. (16:12) Like why they, I would never invest in that company.(16:16) Never. (16:17) Dude. (16:17) I went to see Avatar three.(16:19) It was an Apple theater. (16:20) And I thought to myself, like, why did Apple buy this theater? (16:23) I think they bought the real estate because they probably got it for like $1 on like 10% because when theaters are in trouble, companies buy them.(16:34) Imagine you and I were in trouble. (16:35) Like we couldn't figure it out, which is not the case, of course we're going to sell.

Kevin Palmieri

(16:40) Well, that's what it's like a fire. (16:41) That's what a fire sale is. (16:42) It's like, yo, we're fucked.(16:44) I don't, I'm either going to get nothing or, and lose everything. (16:47) Or you're going to give me $10 for something that costs 500.

Alan Lazaros

(16:50) Yeah, exactly. (16:50) And so, so the, I'm wondering to myself, like Apple bought the cinema in Providence, uh, Providence place mall. (17:00) And it's like, I'm, I'm walking in the theater looking at who's no one's there.(17:04) First of all, Avatar three was huge. (17:06) It costs $400 million to make. (17:08) Like they might not make a fourth.(17:10) This is, this is not good because I love the movies. (17:13) So I'm like, dammit, go to the movies people. (17:15) But again, I, whatever.(17:17) Right. (17:17) So I'm always, I don't ever just walk around. (17:22) I'm always looking at businesses and I'm seeing what's winning and what's not like lids gone.(17:28) Like they can't win.

Kevin Palmieri

(17:30) I got three hats, brother. (17:32) I got three hats for like 12 bucks.

Alan Lazaros

(17:36) Yeah.

Kevin Palmieri

(17:36) And I was literally like in the nineties, you get one hat for 20 bucks. (17:41) It was crazy. (17:43) I looked and it was like, it says the price, but it shows three hats and I couldn't choose what color.(17:49) And I was like, there's no way there's three, three hats, three hats. (17:52) They're nice. (17:52) They're okay.(17:54) They're not that good. (17:55) I mean, whatever. (17:55) I don't know.(17:56) What's a good hat. (17:56) I don't give a fuck.

Alan Lazaros

(17:57) I put it on my head. (17:58) I don't really worry about it. (17:59) But like, remember when people back in our day, how old are we back in our day?(18:03) We'd go to the mall. (18:04) Like that's going to eventually be gone. (18:05) Nobody's going to go to the mall.(18:07) Right. (18:07) Yeah.

Kevin Palmieri

(18:07) I just watched a video recently on, um, I don't know where it was. (18:10) I was, uh, my God, not Portugal. (18:13) I don't know where it was, but they have a thriving mall community.(18:17) Yeah. (18:18) Some people want that. (18:20) You know, I think mountain does very well.(18:22) Yeah. (18:22) But I, but I think there's also like, yeah, but there's certain restaurants in certain restaurants and stores that wouldn't do well.

Alan Lazaros

(18:27) Yeah, exactly. (18:28) And this is one of the reasons to bring this back to the listeners, rather than you and I just talking about economics, you can't get, this is one thing I'll say. (18:37) If you're not getting better, you will fail no matter what.(18:41) Like imagine a phone that just stopped getting better. (18:44) You can't win. (18:45) It's impossible.(18:46) And I don't know why we treat humans any different. (18:49) Well, cause there's feelings. (18:51) No, but like, if you're not getting better, this is something that's underneath all this too, is utility.(18:58) We've talked about this before. (18:59) We'll go to AI in a second. (19:02) If AI is getting better every day and you're not, what do you think is going to happen to you?(19:07) Like you have to get better no matter what. (19:11) And that's the baseline now. (19:14) So it's getting really depressing, but if you do get better, here's the good news.(19:20) You're going to be fine. (19:22) Like you're not only going to be fine, you're going to thrive as long as it's something that the world needs. (19:30) So painters are in trouble.(19:32) Like graphic designers are in trouble. (19:35) There's some industry, like anything that's digital, AI will take very quickly. (19:39) Like coders are in trouble.(19:41) Graphic designers are in trouble. (19:43) A lot of financial traders are in trouble. (19:45) But at the end of the day, what do I mean by in trouble?(19:47) You're going to have to reinvent yourself. (19:49) That's what I mean. (19:50) It's not like you're going to be despondent.(19:53) Everyone, there will always be a way to add value.

Kevin Palmieri

(19:55) Well, I think that's why, because that's the important piece. (19:58) I think the important piece is that that is essentially the hard part about this is if you wait too long, it's not too late to reinvent yourself. (20:05) You can always reinvent yourself, but like, but it'll be harder.(20:07) It's going to be harder because you've got to be proactive. (20:09) There'll be other people who have already reinvented themselves. (20:11) And now you're below that you're beyond, you're, you're delayed.(20:15) It's, it's not too late.

Alan Lazaros

(20:17) Yeah, it is scary. (20:19) I could see that now because I started preparing for this 20 years ago. (20:24) Well, that's why I'm not concerned, but if you didn't prepare for this, you would be very concerned.(20:29) It's very scary. (20:30) That's like Uber drivers, all gone, all taxi drivers, all gone. (20:34) Like all truck drivers gone.(20:36) I know you don't villainize me. (20:38) This is going to happen, whether you like it or not. (20:40) This has nothing to do with me.(20:41) This is just the, I'd be shocked if 10 years from now we had any truck drivers at all. (20:49) And that's like 10 million people in this country at least. (20:53) Right.(20:54) So, and that's a lot of, right. (20:55) And then, but what does that mean? (20:57) Where are those people?(20:58) Well, they'll find other ways to add value. (20:59) There's going to be other jobs invented too. (21:02) It's not, people think about taking jobs, but they don't realize how many other jobs have been invented.

Kevin Palmieri

(21:06) Oh, I think that's a big piece of it for sure.

Alan Lazaros

(21:08) Yeah. (21:09) Remember dipping dots? (21:10) You ever had dipping dots?(21:11) Of course I have. (21:11) What a unique, stupid fucking thing to do. (21:15) I think it's dumb.(21:16) I do, but I like it. (21:17) Okay. (21:18) Of course you can just invent something like that and then be wealthy.(21:21) Like it's not. (21:22) And I make that sound way too easy, but it's not quite that. (21:24) There's always going to be unique ways to add value to people's lives.(21:27) You just have to be creative and extremely consistent and you have to be focused on it. (21:32) And that's one of the reasons why I come off like such an asshole, because I actually care enough to tell you the hard truth in advance. (21:38) Well, I was the one 10 years ago saying, get your shit together.

Kevin Palmieri

(21:42) That's the, that's what I want this episode to end on. (21:44) What you desperately need to know about AI. (21:46) Okay.(21:50) You probably should start reinventing yourself now.

Alan Lazaros

(21:54) And that doesn't mean- Make sure it's something the future will need.

Kevin Palmieri

(21:57) Yes. (21:57) Yes. (21:58) But it doesn't mean you have to like change everything about yourself right now.(22:01) It means you have to start the process of doing that. (22:03) Whatever that looks like, right? (22:04) Like if you're a truck driver, it's probably time to figure out what transferable skills you have.(22:08) Yes, of course.

Alan Lazaros

(22:10) Nurses are good. (22:11) Doctors are good. (22:13) Customer service, like HVAC, plumbing, all that stuff is good.(22:18) Customer service is gone. (22:21) We're trying to get a, we're getting a new Tesla and we were on with an AI bot yesterday and we eventually got a human, right? (22:29) And then eventually getting a human will actually be more valued too.(22:32) So that's- But there's going to be less. (22:35) Less.

Kevin Palmieri

(22:35) Yeah, of course. (22:36) There's going to be less. (22:36) We ordered furniture from Bob's Furniture and something happened and something got Jeffed.(22:42) And I was like, I'll try the, I'll try the chat and see what happens. (22:45) Dude, it was the best experience ever.

Alan Lazaros

(22:47) My contacts, AI chat bot.

Kevin Palmieri

(22:49) It was the best experience ever. (22:51) They, it was, it took five minutes. (22:52) It knew exactly what I was talking about.(22:54) Tracking numbers, zip code, bada bing, bada boom. (22:56) It was awesome. (22:57) It was awesome.(22:58) It was awesome.

Alan Lazaros

(22:59) So that's the takeaway. (23:00) Do you get scared? (23:01) Because, yeah, for sure.(23:03) Okay. (23:03) I appreciate the honesty. (23:04) What are you going to do about it?(23:06) Listen to you. (23:08) Well, okay. (23:09) I appreciate that.(23:09) And I think that one thing that I do think that can be a takeaway for everybody too is like, I don't necessarily think, I don't want you to put your head in the sand and not worry at all about what's going on in the world. (23:22) But I also want you to be constructive with your attention. (23:25) We talked about that on the last episode.(23:27) You do want to be around people that are extremely future-oriented. (23:32) I don't think that that's ever been, this whole present shit is so alarmingly not productive. (23:39) Dude, the whole personal development industry is, the present is a gift.(23:43) Be present, stay present, being, be in the now. (23:46) No, no. (23:48) Maybe in the 1700s, being present was fine when the world wasn't changing exponentially every goddamn day.(23:54) Like you can't sit here and twiddle your thumbs in the present. (23:57) You can't. (23:58) You have to research and study and learn and improve.(24:02) And here's one thing that I'll tell you right now. (24:04) Leadership never goes away. (24:07) You have to learn how to lead.(24:08) And it's awful. (24:10) It's awful. (24:11) Like I told our team member, Ron, Ron, I know you're listening.(24:14) Like you're the leader. (24:15) This is on you. (24:17) Make sure this happens better next time.(24:20) Like who was the one who dropped the ball? (24:23) Ultimately it's your fault. (24:25) I don't care if they dropped the ball.(24:26) It's your fault. (24:26) You're the team leader for a reason. (24:28) Leadership will never go out of style.(24:30) And if I could end on one thing, it's like learn how to lead human beings.

Kevin Palmieri

(24:35) Cool. (24:36) All right. (24:37) If you are trying to figure out how to retool, how to evolve, how to move in the right direction, reach out to Alan for coaching.(24:43) He can definitely help you, obviously. (24:44) Right? (24:44) Like one of the hard parts of skating towards where the puck is going is knowing where the puck is going.(24:49) And I can't claim to know it, but based on what I've seen and the proof, Alan is definitely there. (24:53) So reach out to Alan. (24:54) And if one of the things you're retooling right now is fitness, next level fitness accountability group.(24:58) We are starting a 10 pound in 10 week challenge on July 1st. (25:02) So a couple of weeks, we're going to do 10 pounds in 10, 10 weeks. (25:05) I'm upset about it.(25:06) I'm not excited about it, but Alan convinced me to do it. (25:09) So we're going to do it. (25:10) So if you want to be in, reach out to Alan and or myself, we'll let you in the WhatsApp group.(25:14) It's totally free. (25:15) No strings attached. (25:16) It's just a great way to be more accountable.(25:18) And it keeps me accountable. (25:19) I was on the treadmill at six 30 this morning. (25:21) I took my picture about a bing, bada boom.(25:23) Let me get my hour in and we are done. (25:26) Okay. (25:26) We're doing it.(25:27) As always. (25:28) We love you. (25:28) Appreciate you.(25:29) Grateful for each and every one of you. (25:30) If you are as committed as you say you are to getting to the next level, make sure you tune in tomorrow because we will be here every single day to help you get there.

Alan Lazaros

(25:36) Keep leveling up to reach your full potential. (25:38) Next level nation.

Kevin Palmieri

(25:40) Thanks for joining us for another episode of next level university. (25:44) We love connecting with next level family.

Alan Lazaros

(25:47) We mean it when we say family, if you ever need anything, please reach out to us directly. (25:52) Everything you need to get ahold of us is in the show notes. (25:55) Thank you again.(25:56) And we will talk to you tomorrow.