Sept. 16, 2025

What Happens to Humanity When Tech Evolves Too Fast?

What Happens to Humanity When Tech Evolves Too Fast?

When technology transforms overnight, how do you stay human while keeping up?

Michael Earls reveals how gratitude, grit, and growth helped him guide companies from traditional data centers to cloud computing and now AI-powered infrastructure.

🧠 What you’ll learn:

  • How a terrifying police stop reshaped Michael’s view of resilience and gratitude
  • Why today’s AI disruption mirrors the arrival of electricity a century ago
  • How a “glass is always full” mindset can turn rapid change into opportunity

🗝️ Key takeaways:

  • Gratitude doesn’t erase hardship, it transforms it
  • Grit and adaptability drive success during disruption
  • Mindset determines whether you fear innovation or thrive with it

Listen now to hear Michael’s three-part formula for thriving through technological change!

00:00 - Welcome to Yoga Nation

03:43 - Michael's Shocking Police Encounter

08:26 - Finding Gratitude in Adversity

15:52 - Technology Shifts and Personal Resilience

21:13 - AI as the New Electricity

28:51 - Gratitude as the Ultimate Playbook

WEBVTT

00:00:00.360 --> 00:00:04.232
Welcome to the Yoga Nation, the Spirit of Gratitude podcast on the One Integration platform.

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Hello friends, my name is Yogesh Patel and this podcast explores the themes of bullying, self-awareness and the power of our inner spirit, including the silent battles we all face.

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Join me every week as I invite high-profile guests, as we explore how adversity shapes us, how gratitude lifts us and how we can all uncover the inner strength that we all have within ourselves.

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Join the conversation.

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I appreciate you listening in.

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Now question when the playbook of technology changes overnight, how do you adapt without losing your heart in the process?

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My next guest, michael Earle, answers this important question, having spent 20 years shaping the way companies move from old systems into the future of AI-powered infrastructure.

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More than a technology strategist, he's a builder of habits, a storyteller of wine and travel interesting and quickly becoming a voice of influence on LinkedIn.

00:01:03.661 --> 00:01:05.927
But what makes him stand out isn't just the tech.

00:01:05.927 --> 00:01:10.984
It's the gratitude he carries for this journey, even at gunpoint when he was pulled over.

00:01:10.984 --> 00:01:20.063
The self-awareness in how he works and the way he shares his playbook to others that they can also win too Reminds me of the phrase rising tide lifts all boats.

00:01:20.063 --> 00:01:24.923
He's proof that nice guys do finish first and gets the pretty girl With gratitude.

00:01:24.923 --> 00:01:26.106
Welcome to the podcast, michael.

00:01:26.126 --> 00:01:26.649
Appreciate that.

00:01:26.649 --> 00:01:29.528
Yogi, Thank you so much for inviting me on this podcast today.

00:01:30.150 --> 00:01:30.551
Absolutely.

00:01:30.551 --> 00:01:34.129
I thought you may have had a little chuckle with the nice guy comment.

00:01:34.331 --> 00:01:38.311
I did the nice guy comment, the guy that finishes first, not last.

00:01:38.939 --> 00:01:41.144
It always makes me think of that movie If you ain't first.

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you're last, but you got to think about it differently.

00:01:45.081 --> 00:01:53.909
And how do you bring in gratitude and graciousness in that comment, which is, how do you help people become first and not always last?

00:01:54.368 --> 00:01:59.733
Ah, very interesting point, although I do want to be able to put that on the side.

00:01:59.733 --> 00:02:04.216
We're going to get to that, but tell me what happened in the incident where you were pulled over.

00:02:07.200 --> 00:02:07.260
Oh.

00:02:07.280 --> 00:02:08.322
Crazy episode.

00:02:09.024 --> 00:02:11.729
I was working for a consultant out of Chicago.

00:02:11.729 --> 00:02:14.574
I was doing some work in Memphis.

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There's a large hospital system there that I would donate all my money to.

00:02:18.592 --> 00:02:20.360
You can look it up.

00:02:20.360 --> 00:02:21.262
You probably know who it is.

00:02:21.262 --> 00:02:24.449
It was three o'clock in the morning.

00:02:24.550 --> 00:02:27.343
We just got done, doing a huge migration cutover.

00:02:27.343 --> 00:02:35.507
I think back then GPSs weren't in your phone, they were the thing that you attach to your window or attach to your car.

00:02:35.507 --> 00:02:37.711
And I'm driving this car.

00:02:37.711 --> 00:02:41.606
I leave the customer's premise trying to head to the hotel.

00:02:41.606 --> 00:02:46.679
I go left, I go right and all of a sudden this cop's following me.

00:02:46.679 --> 00:02:47.842
I'm like what is going on?

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I go left again, I go right again.

00:02:50.647 --> 00:02:51.931
He's on my tail.

00:02:52.412 --> 00:02:56.888
Then all of a sudden lights started flashing, I go oh my gosh, what is going on?

00:02:56.888 --> 00:03:04.890
I'm in the middle of a bad neighborhood, I'm driving a rental car, I'm in my dress clothes and I turn around.

00:03:04.890 --> 00:03:07.782
There's seven cop cars, there's a canine unit.

00:03:07.782 --> 00:03:10.588
I swear I felt like the helicopter was above.

00:03:10.588 --> 00:03:13.782
That's just how much chaos and noise that was going on.

00:03:14.465 --> 00:03:15.567
Seven cop cars.

00:03:15.567 --> 00:03:16.909
What the heck did you do, Michael?

00:03:17.831 --> 00:03:24.651
Well, when the officer came up to me, you know, hand on his gun, and he's like boy, do you know, you're driving a stolen car.

00:03:24.651 --> 00:03:29.629
I'm like no, I'm not driving a stolen car, I'm driving a car just rented.

00:03:29.629 --> 00:03:34.984
And he's like says here, you're driving a stolen car, pulls me out.

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I'm sitting out there, I'm on the ground.

00:03:38.310 --> 00:03:40.894
He's got all these cops around me.

00:03:40.894 --> 00:03:41.961
I'm at gunpoint.

00:03:41.961 --> 00:03:43.645
And he's like you're driving a stolen car.

00:03:43.645 --> 00:03:50.127
They ruffled through my car and I'm like, oh my gosh, what is going on?

00:03:50.127 --> 00:03:53.866
Finally, he puts me in the back of the cop car.

00:03:53.866 --> 00:03:54.942
I'm cuffed.

00:03:55.182 --> 00:03:56.425
So you're handcuffed, I'm handcuffed.

00:03:56.467 --> 00:03:59.427
He shows me on the computer that this was a stolen car.

00:03:59.427 --> 00:04:06.543
I convinced him enough because he said well, you didn't run from me, you didn't try and do anything.

00:04:06.543 --> 00:04:10.384
Something didn't feel right, but I was worried about myself.

00:04:10.384 --> 00:04:19.831
That's what he said to me, and so I convinced him to let me go to the car find the slip that shows that I rented the car.

00:04:20.791 --> 00:04:22.952
He lets me out, follows me to the car.

00:04:23.874 --> 00:04:26.435
I'm going through the car and I can't find it.

00:04:26.435 --> 00:04:29.898
Lesson number one always put in the same spot.

00:04:29.898 --> 00:04:37.247
I always put in that center console wasn't there, they rummaged my car.

00:04:37.247 --> 00:04:39.610
They weren't looking for that, they were looking for drugs.

00:04:40.531 --> 00:04:41.694
I find the flip.

00:04:46.139 --> 00:04:49.939
I prove to them that I just ran into the car five days earlier and I need to return it tomorrow.

00:04:49.939 --> 00:04:56.226
And he says to me there's nothing I can do, I will follow you back to your hotel room.

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Good luck getting to the airport tomorrow.

00:05:00.620 --> 00:05:01.884
That was his response to me.

00:05:03.369 --> 00:05:06.447
So if I think back at that one, I go.

00:05:06.447 --> 00:05:11.689
Where's the gratitude in that One?

00:05:11.689 --> 00:05:12.331
I didn't die.

00:05:12.331 --> 00:05:18.233
Two I was kind of reminded that there is safety and freedom.

00:05:18.233 --> 00:05:23.752
You know, ordinary days are privileges.

00:05:23.752 --> 00:05:26.615
We often forget to appreciate them.

00:05:26.615 --> 00:05:28.742
That's kind of the gratitude messages there.

00:05:29.024 --> 00:05:30.867
And that stuck to you, it stuck to me.

00:05:30.908 --> 00:05:32.733
Yeah, absolutely it's.

00:05:32.733 --> 00:05:36.833
You know, it's one of those stories that I keep to myself.

00:05:36.833 --> 00:05:42.225
Every once in a while we're bringing it up, but I always think about it Every time I rent a car.

00:05:42.225 --> 00:05:46.932
I know where that pink slip is, I know how to deal with it and I look and I go.

00:05:46.932 --> 00:05:49.516
Every day is a privilege to be alive.

00:05:49.516 --> 00:05:56.314
Every day I have to be happy and I have to show I'm happy at the same time, because tomorrow I might not be here.

00:05:58.482 --> 00:06:02.548
The funny part was the next day I get in the car he takes me back to the hotel.

00:06:02.548 --> 00:06:13.732
I'm driving on the highway to get to the airport and every time I saw the cop I got off, got back on, got off, got back on and I pull into the rental car place and I go.

00:06:13.752 --> 00:06:14.375
You guys, rented me a stolen car.

00:06:14.375 --> 00:06:14.475
Yeah.

00:06:14.475 --> 00:06:15.079
What'd they say to that?

00:06:15.079 --> 00:06:15.279
Yeah.

00:06:15.500 --> 00:06:17.444
Come to find out the car wasn't stolen.

00:06:17.444 --> 00:06:28.009
So this goes back to you know, when I look at, I'm a technologist, so there's things I'm always thinking about.

00:06:28.009 --> 00:06:37.413
The company I rented the car from had a state code and a car code Common sense says VIN numbers are unique, but this company didn't actually use VIN numbers.

00:06:38.261 --> 00:06:41.250
They used the same state code and car code.

00:06:41.250 --> 00:06:51.771
When somebody actually reported the car stolen, they pulled up the state code and car code, which was my car, not the one that was actually stolen.

00:06:51.771 --> 00:06:58.148
Yeah, and you think that was how many years ago?

00:06:58.148 --> 00:07:00.754
15 years ago, 16.

00:07:00.754 --> 00:07:06.211
Yeah, and that's the and you're hearing about that story.

00:07:06.211 --> 00:07:11.148
If you go back and you Google, that person I rented a car from there was.

00:07:11.148 --> 00:07:18.307
There was a huge lawsuit where other people actually got pulled over for stealing cars that weren't actually stolen.

00:07:18.687 --> 00:07:20.432
Crazy, crazy world we live in.

00:07:20.432 --> 00:07:35.742
Yeah, I mean I had a smaller version of that being pulled over by the US Capitol Police just right next to the House of Representatives wing, but I did not get guns drawn on me.

00:07:36.362 --> 00:07:38.369
You should be happy because you know I'm sitting there going.

00:07:38.369 --> 00:07:39.841
Please don't throw me a gun.

00:07:39.841 --> 00:07:41.564
I'm in my dress clothes, you know I'm like.

00:07:41.564 --> 00:07:44.529
And my wife said how did you resist?

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I go.

00:07:45.713 --> 00:07:51.692
Yep, yeah, in fact, an aide from one of the representatives from Florida said no, he's with me.

00:07:51.692 --> 00:07:58.608
And then the police officer, rightfully doing his duty, said sir, remove yourself from the car right now.

00:07:58.608 --> 00:08:10.483
I mean, just in those you know, voice of God, stern voice I'm like, oh boy, okay, luckily I found my paperwork, the rental car, and I forgot what happened or why I wouldn't stop.

00:08:10.483 --> 00:08:19.160
I don't think I ran a red light, but, whatever the case, gratitude at this level and at this level crazy.

00:08:19.511 --> 00:08:26.521
So crazy, isn't it when you think of how short life can and how interactive it can be.

00:08:29.495 --> 00:08:31.841
Is that why you chose to become a LinkedIn influencer?

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When you start thinking about LinkedIn influencer, I go back to.

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I've been in this industry 20 plus years.

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I have seen everything.

00:08:40.553 --> 00:08:44.822
So I look at it and I go I have seen, you know, I've been a part of building data centers.

00:08:44.822 --> 00:08:46.857
I've been a part of destroying data centers.

00:08:46.857 --> 00:08:47.811
I've been a part of.

00:08:47.811 --> 00:08:54.261
You know, when you think of, you know, one gig ATM and you're going how does that turn into 10 gig?

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And a 20 gig and 40 gig, you're going how does this industry evolve?

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I've seen it all.

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When I looked at myself and I go there's so much to share.

00:09:03.514 --> 00:09:16.860
I've always thought about writing a book and you know there's a couple of good books out there that talks about you know, how the data centers evolved, where the processes evolved, and I couldn't find a niche for that.

00:09:16.860 --> 00:09:24.764
So I looked at it and I go how do I build little short articles or stories on how to actually combat today's world?

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And when I say today's world, that's how to combat negativity, how to address time management.

00:09:30.927 --> 00:09:39.140
you know how to how to kind of zoom out you know everybody wants you to zoom in.

00:09:39.181 --> 00:09:39.582
How do you zoom?

00:09:39.582 --> 00:09:42.772
How do you actually find that time to you yourself and how do you step away?

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Because, know now we?

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You know I describe as I spend all day talking to my computer that's my day anymore, not the day I grew up with I grew up meeting people.

00:09:54.692 --> 00:09:57.363
Well, isn't the computer the medium to talk to people?

00:09:57.724 --> 00:10:00.893
well, computer could be a medium, but it's changed.

00:10:00.893 --> 00:10:23.559
It used to be in-person meetings over coffee, you know, tea, like you know those things dinner, and now the medium is we sit, we talk to the computer and you're on the other side and we're trying to have a conversation and I'm trying to understand who you are and where you're coming from in order to understand how to help you.

00:10:26.090 --> 00:10:26.471
And that's where.

00:10:26.471 --> 00:10:27.754
So then, who is Michael Earls?

00:10:27.754 --> 00:10:31.163
That gives this person the opportunity to help others.

00:10:31.510 --> 00:10:32.596
You know it's a great question.

00:10:32.910 --> 00:10:34.837
I've been thinking about that as well, Like why me?

00:10:35.370 --> 00:10:36.535
Why should I do that?

00:10:36.535 --> 00:10:49.259
And I look and I go there's a lot of things that happened in my life that we haven't even talked about and those things could have broke me, but they changed me.

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They allowed me to look in deep and say how do I adapt, how do I overcome those issues?

00:10:57.721 --> 00:11:06.211
I call them great stories now, but one of the stories I wrote on LinkedIn is my brother had a head injury when I was a freshman in high school.

00:11:06.893 --> 00:11:10.539
I didn't have a high school life like others did.

00:11:10.539 --> 00:11:21.345
I had a brother that died a few times, lost part of his brain, but he was able to adapt and overcome that.

00:11:21.345 --> 00:11:25.562
I was able to adapt and overcome that, but I had to change who I am.

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I had to look at the gifts that were given to me at the time.

00:11:32.102 --> 00:11:46.354
You know that's one story when I look at it and I wrote another story about him and kind of relates back to your podcaster from last week, which was a guy who was the master of Taekwondo or Kung Fu.

00:11:46.354 --> 00:11:51.942
I can't remember what his martial arts and my brother and I used to do.

00:11:51.942 --> 00:12:01.798
Martial arts, yeah, and we started it after, you know you think he had a head injury.

00:12:01.798 --> 00:12:15.063
I had to teach him how to walk, talk, shave, just be somewhat normal again and we started doing Taekwondo to build balance, to help his brain rebuild.

00:12:15.063 --> 00:12:25.649
And there's great stories out there about how the brain can rewire itself and address those dramas that happen to the brain where other parts of the brain can take over.

00:12:26.972 --> 00:12:30.520
And that's one of them, so it was like, how do we fix balance?

00:12:30.561 --> 00:12:31.462
how do we fix him?

00:12:31.462 --> 00:12:39.010
And um, you know, that's the when I look at I I call the gratitude episode of that is is the resilience.

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You know, um how to break back that human spirit and how to how to actually celebrate him while watching that brain rebuild itself, watching him rebuild himself from the ground up, blog posts on LinkedIn.

00:13:02.285 --> 00:13:02.426
It's.

00:13:02.426 --> 00:13:15.235
How do you, to a certain degree, be the best version of yourself in spite, or maybe because, of all of these stimulus that's around us, whether it's technology, social media or anything else?

00:13:15.998 --> 00:13:17.100
You're actually right on that one.

00:13:17.100 --> 00:13:25.582
Like today, I wrote about negativity and how to uh, how to break free of that mind.

00:13:26.110 --> 00:13:26.933
Well, that's.

00:13:26.933 --> 00:13:29.566
Yeah, that was one of the questions I want to double click on.

00:13:29.566 --> 00:13:36.602
No pun intended, since we're both technologists, but you look at life not with the glass half full, but always full.

00:13:36.602 --> 00:13:37.990
Don't have bad days.

00:13:38.010 --> 00:13:40.231
You know, I always describe it as you know, people meet me and they go.

00:13:40.231 --> 00:13:43.754
You know I always describe it as you know people meet me and they go.

00:13:43.754 --> 00:13:46.375
How are you always happy?

00:13:46.375 --> 00:13:51.559
How do you get out of bed every morning and be happy?

00:13:51.559 --> 00:13:53.461
Yes, it is the coffee.

00:13:53.520 --> 00:14:11.639
I drink, I love coffee, but I relate life back to coffee and I always say coffee brings energy, coffee brings power, coffee brings clarity to life and when you start looking at half full versus half empty, is that.

00:14:11.639 --> 00:14:15.552
I've been around people that are half empty and those are people I don't want to be around.

00:14:15.692 --> 00:14:23.663
I don't want to be around miserable people, because what happens is you get sucked into that and you lose that joy of life.

00:14:23.663 --> 00:14:29.235
Because that's just how they are they're suckers, and I always wanted to be the opposite.

00:14:29.235 --> 00:14:31.240
And every day I get up and I go.

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How do I improve?

00:14:32.383 --> 00:14:34.272
How do I make people happy?

00:14:34.272 --> 00:14:36.533
How do I make me happy?

00:14:36.533 --> 00:14:38.537
And then how do I make others around me happy?

00:14:38.537 --> 00:14:51.442
You know, it's that, that smile, that creativity, that generosity, that that comes out of me and people see it.

00:14:51.442 --> 00:14:52.525
You know, people see they go.

00:14:52.525 --> 00:14:53.669
I want to be around that guy.

00:14:53.929 --> 00:15:01.297
But I think a lot of it, michael, is the fact that you take care of yourself right and that projects your energy onto others.

00:15:01.297 --> 00:15:13.158
And again you talk about the ability to reset, especially when you go on vacations and I love what you mentioned where the beach dust could care two craps about.

00:15:13.158 --> 00:15:16.004
You know the Outlook calendar.

00:15:16.004 --> 00:15:18.591
That's in 30 minutes.

00:15:18.591 --> 00:15:19.273
It doesn't care.

00:15:19.721 --> 00:15:20.302
It doesn't care.

00:15:20.302 --> 00:15:22.346
You're absolutely right.

00:15:22.346 --> 00:15:33.712
I mean you started it with one of your podcasts about the ocean kind of pulls away that negativity and it helps kind of bring a cleanse.

00:15:33.712 --> 00:15:39.932
And it made me think about it when I was on vacation last week and I was sitting there going.

00:15:40.340 --> 00:15:41.583
And where'd you go on vacation again?

00:15:42.105 --> 00:15:42.586
Aruba.

00:15:42.586 --> 00:15:46.821
Yeah, sorry, but I was looking at it, I was going.

00:15:46.821 --> 00:15:53.208
You see, this thing, it's not buzzing, it's not ringing, it's not tinging, it's not doing because it's not in the water with me.

00:15:53.208 --> 00:15:59.052
So when I look and I go, it's a refresh from being tied to something.

00:15:59.759 --> 00:16:03.587
And it's like I said you know the ocean doesn't go on counters every 30 minutes.

00:16:03.587 --> 00:16:04.288
What are you doing?

00:16:04.288 --> 00:16:05.532
How do we change?

00:16:05.532 --> 00:16:06.092
How do we adapt?

00:16:06.092 --> 00:16:06.714
How do we change?

00:16:06.714 --> 00:16:08.924
And I had to get away to go.

00:16:08.924 --> 00:16:12.144
How do I take care of me and how do I take care of myself?

00:16:12.144 --> 00:16:14.490
Is I have to step away?

00:16:14.490 --> 00:16:17.927
I have to look at life and say where do.

00:16:17.927 --> 00:16:23.284
I spend and where do I influence and where do I rebuild from the ground up again?

00:16:24.086 --> 00:16:26.633
And that's why I was as a coffee cup.

00:16:26.653 --> 00:16:28.822
You know, I'm refilling it always.

00:16:29.244 --> 00:16:50.615
But I think a lot of people today, especially today in the job market, gosh, you know you feel for them just because of these massive shifts in technology, right, especially with, you know, going to on-prem, to cloud now to AI-powered infrastructure, as I mentioned in my intro.

00:16:50.615 --> 00:16:56.552
And how do you personally find resilience when the playbook changes mid-game?

00:16:56.552 --> 00:17:01.866
Because you've been laid off in the past as well and we all go through this in technology.

00:17:02.489 --> 00:17:06.470
So it's a great question, it's not, you know, you gotta go back.

00:17:06.470 --> 00:17:18.473
Is it technology, is it people and I you know like I described this week about AI and being really like electric.

00:17:18.473 --> 00:17:24.462
So I had coffee with with a guy last week and we were talking about electricity.

00:17:24.482 --> 00:17:26.807
We were talking about AI and is.

00:17:26.948 --> 00:17:31.786
AI taking people's jobs or is AI enhancing people?

00:17:31.786 --> 00:17:33.109
And?

00:17:33.150 --> 00:17:36.298
he described to me a story of go back in the days.

00:17:36.538 --> 00:17:43.047
Look at New York, when they first lit up new york with a light bulb, and how did people react?

00:17:43.047 --> 00:17:45.893
He said, the people in the front said how do I monetize that?

00:17:45.893 --> 00:17:47.762
How do I take advantage of that technology?

00:17:47.762 --> 00:17:53.766
The people were back, yeah, and the guys in the back were going oh crap, who's gonna light the lantern?

00:17:53.766 --> 00:17:56.376
Now, I'm not gonna light that, I'm gonna lose my job.

00:17:56.376 --> 00:18:06.061
Well, you relate that back to today's world, which is am I the?

00:18:06.061 --> 00:18:07.244
Guy lighting the lantern, or am.

00:18:07.265 --> 00:18:08.849
I the guy that's trying to innovate, and take advantage of it.

00:18:08.869 --> 00:18:10.053
And I look at you know AI is a gift to us.

00:18:10.053 --> 00:18:16.709
It's how do we use it, how do we bridge that creativity and how do we bridge those new possibilities?

00:18:16.709 --> 00:18:18.833
That's how we take advantage of AI.

00:18:23.579 --> 00:18:28.271
We use AI to enhance us, not the other way around, where AI is doing things that you didn't want to do.

00:18:28.271 --> 00:18:32.049
I look at it and I go AI was great to do automation.

00:18:32.049 --> 00:18:35.263
Do you think I want to go write those scripts and run those scripts every hour?

00:18:35.263 --> 00:18:37.530
No, automation took that.

00:18:37.530 --> 00:18:43.130
Now, if I can make those scripts smarter by using AI to auto adjust, perfect.

00:18:43.130 --> 00:18:45.226
That's where that comes into play.

00:18:45.226 --> 00:18:58.376
So you have to look at it from a different lens, which is how do I bridge those two technologies and how do I make the most of them at that time?

00:18:58.920 --> 00:19:10.036
Michael, you had mentioned that you were not mentioned, but you lived through some massive shifts in technology, from on-prem data centers to cloud and now AI, artificial intelligence.

00:19:10.036 --> 00:19:17.749
How do you personally find resilience when the playbook changes mid-game, because you've been laid off in the past, so how do you adapt?

00:19:18.200 --> 00:19:19.181
You know I've been laid off in the past.

00:19:19.181 --> 00:19:19.320
How do you adapt?

00:19:19.320 --> 00:19:19.925
You know I've been laid off in the past.

00:19:19.925 --> 00:19:22.589
Uh, and you're right, the playbook does keep changing.

00:19:22.589 --> 00:19:28.986
Uh, I've lived through more than just a few uh, seismic shifts in technology.

00:19:28.986 --> 00:19:37.924
Uh, earlier in my career everything was built on on-prem rack servers, humming away sitting in the data center freezing your butt off.

00:19:37.924 --> 00:19:44.431
You know it's sad, but I still carry a coat in the car because of that.

00:19:44.431 --> 00:19:49.015
It's just mental block that I might go sit in that data center one day.

00:19:49.015 --> 00:19:50.195
So I still have a coat in the car.

00:19:50.195 --> 00:19:55.784
Wife thinks I'm funny, but I always do.

00:19:55.864 --> 00:20:04.075
And then, you know, then came cloud and it's a whole new way of thinking scale, cost, agility and you bring up AI.

00:20:04.075 --> 00:20:23.626
Ai is reshaping Not just how we run workloads but how we work, decide how we even imagine what's possible at this point.

00:20:23.626 --> 00:20:24.186
That's a huge shift.

00:20:24.186 --> 00:20:24.887
And I reverted back to.

00:20:24.887 --> 00:20:27.330
One of the posts I released yesterday was talking about electricity.

00:20:27.330 --> 00:20:29.613
Ai is very similar to electricity.

00:20:29.613 --> 00:20:39.263
People were scared of it, they ran from it, they didn't turn it on, and so then you look at New York and you look at Thomas Edison.

00:20:39.263 --> 00:20:40.164
People had to educate.

00:20:40.164 --> 00:20:44.347
You know the folks around Thomas Edison that light was good, Light bulb was good.

00:20:44.347 --> 00:20:49.291
And then you think back in the 1900s, when they turned on electricity in New York.

00:20:49.291 --> 00:20:51.453
There was two different types of crowds.

00:20:51.453 --> 00:20:59.744
You know the ones that were innovative, the ones that said let's do something with it, and the other ones that said, oh my God, what are we going to do?

00:20:59.765 --> 00:21:05.883
So I always describe it as the playbook has changed mid game multiple times I can't count, you know.

00:21:05.883 --> 00:21:07.145
It just constantly changes.

00:21:07.145 --> 00:21:11.082
That's the beauty of it is that it's constantly changing.

00:21:11.082 --> 00:21:13.267
So you have to think we're here to learn.

00:21:13.267 --> 00:21:19.494
Resilience doesn't come from clinging to an old technology or a new old to an old role.

00:21:19.494 --> 00:21:23.990
It comes from staying open, curious, you know.

00:21:23.990 --> 00:21:30.425
It's that curious mindset you think about and being grounded is, that is that your self-awareness oh, absolutely.

00:21:30.487 --> 00:21:37.468
People are so scared of change you think a lot of people won't change jobs because it might be a change to them.

00:21:37.468 --> 00:21:48.003
And that's where that curious mindset, that's where that half you know full comes into mind, where you're saying get up, do something different with yourself, get out.

00:21:48.003 --> 00:21:53.979
When I look at it and go, that's my self-awareness is.

00:21:53.979 --> 00:21:58.549
You know, I always describe myself as I'm always, you know, a half full guy.

00:21:58.549 --> 00:22:00.981
You know, I'm always overflowing, I'm always.

00:22:00.981 --> 00:22:11.201
Sometimes I push a little bit me into everybody because I'm always overflowing and I always I'm funny about this, but I always talk about coffee and I go.

00:22:11.221 --> 00:22:14.126
I love coffee, it tastes great, great.

00:22:14.440 --> 00:22:15.665
You know it's got great flavor.

00:22:17.299 --> 00:22:18.909
It's got energy, you know it's got great flavor.

00:22:18.909 --> 00:22:19.710
It's got energy.

00:22:19.710 --> 00:22:24.271
It's got, you know, the warmth to it if you're drinking hot coffee.

00:22:24.892 --> 00:22:29.275
But that's how I always try and make myself feel and appeal to others is that I'm bringing warmth.

00:22:29.954 --> 00:22:31.615
I'm filling you with that joy.

00:22:32.155 --> 00:22:36.518
I'm helping to stimulate your mind, and that's what I kind of look at today.

00:22:45.042 --> 00:22:45.788
We have to do the same thing with AI.

00:22:45.788 --> 00:22:47.660
We have to figure out how to stimulate our mind and use technology to make things better.

00:22:47.980 --> 00:22:48.903
And you know I was kind of Right.

00:22:48.903 --> 00:22:51.330
Yeah, yeah, I guess it's that historical perspective.

00:22:51.660 --> 00:22:53.046
There is a cost of jobs.

00:22:53.046 --> 00:22:56.488
Yes, there's going to be a cost of jobs, no matter what we do.

00:22:56.488 --> 00:23:00.204
You know AI or no AI?

00:23:00.204 --> 00:23:01.188
I mean, think about it.

00:23:01.188 --> 00:23:14.207
When Ford created the assembly line, there was a change of labor, so people were building things by hand.

00:23:14.207 --> 00:23:16.065
Cars were built by hand.

00:23:16.065 --> 00:23:18.127
Now they moved into an automated process.

00:23:18.127 --> 00:23:21.422
Hand cars are built by hand.

00:23:21.422 --> 00:23:22.484
Now they moved into an automated process.

00:23:22.484 --> 00:23:25.491
We're making better things at a faster rate with less issues to it.

00:23:25.972 --> 00:23:30.540
That's where ai is going to come into play is it's how do I use ai to my advantage?

00:23:30.540 --> 00:23:31.321
How?

00:23:31.321 --> 00:23:35.163
Do I figure out a way to monopolize on that.

00:23:35.163 --> 00:23:36.025
Sorry, how?

00:23:36.045 --> 00:23:37.546
do I monopolize?

00:23:39.207 --> 00:23:39.867
on them yeah.

00:23:40.107 --> 00:23:51.976
Any ideas on that, because I think that's what I think your readership right and even to the listeners of those podcasts, the citizens of Young Nation would want to know that.

00:23:52.915 --> 00:23:53.537
I think they will.

00:23:53.537 --> 00:23:55.258
I really do believe that.

00:23:55.258 --> 00:24:04.284
I think when they look at it, they go.

00:24:04.284 --> 00:24:05.885
What am I doing today, where AI can help me, what am I doing?

00:24:06.247 --> 00:24:11.474
They're searching for a playbook, Michael right, that doesn't get them to a panic state.

00:24:15.180 --> 00:24:16.303
Yeah, it goes back to yes, a playbook.

00:24:16.303 --> 00:24:20.893
And how do I bridge in a same repeatable playbook that makes sense?

00:24:20.893 --> 00:24:26.412
And I always feel like, yes, shifts always feel overwhelming.

00:24:26.412 --> 00:24:30.684
Playbooks can feel overwhelming no matter how many times I use that same play over and over.

00:24:30.684 --> 00:24:34.874
You have to adapt and change in that playbook.

00:24:34.874 --> 00:24:40.800
If you don't adapt or change, you're going to run into the same issues over and over again.

00:24:40.800 --> 00:24:45.300
Think about like football and think about soccer is that they can't continue to run that same?

00:24:45.340 --> 00:24:51.883
play it's going to they're going to get tackled no matter what, or they're going to miss that ball.

00:24:52.684 --> 00:24:59.194
But I guess my concern with AI is the fact that it's just the rapid change of pace.

00:24:59.194 --> 00:25:01.988
Technology and society can't keep up.

00:25:01.988 --> 00:25:08.727
I mean, we're now what ChatGPT 5.0 when it just came out 14 months ago, or something like that.

00:25:08.727 --> 00:25:10.968
I mean in its official capacity, of course.

00:25:11.381 --> 00:25:20.189
About two years ago, because the AI has been evolving, so you have to think what it's doing, is you know?

00:25:20.189 --> 00:25:21.352
Chat to Pt5.

00:25:21.352 --> 00:25:23.067
What's the difference between 4?

00:25:23.067 --> 00:25:25.528
Is it thinking more?

00:25:25.528 --> 00:25:29.401
Is it turning more humanistic, you know?

00:25:29.401 --> 00:25:31.809
Is it being able to act like you and I?

00:25:31.809 --> 00:25:34.842
It does have a brain.

00:25:34.842 --> 00:25:39.111
Well, computers, you know, act as a single brain uh.

00:25:39.191 --> 00:25:41.101
Is it going to make better decisions than you and I?

00:25:41.101 --> 00:25:45.113
Is it going to make warm, uh, thought well decisions?

00:25:45.113 --> 00:25:50.107
No, it's going to make decisions based on calculated risk and math.

00:25:50.107 --> 00:25:57.065
That's why it's great in certain circumstances, like I want to read an x-ray.

00:25:57.065 --> 00:25:59.169
It knows that in and out.

00:25:59.169 --> 00:26:01.452
I can read that over and over again.

00:26:01.452 --> 00:26:09.741
So when I look and I go, you know there might be a doctor that says I'm exhausted, I can't read those all day long.

00:26:09.741 --> 00:26:14.673
If I look at AI, that might help streamline that process.

00:26:14.673 --> 00:26:28.559
Yet I might reduce a head count along the way and say, instead of 10 doctors here looking at x-rays and MRIs all day long in a dark room, people get tired, people get sleepy, things get missed.

00:26:28.559 --> 00:26:34.924
If I can run that through technology and say I am looking for X pointers, always X pointers.

00:26:34.924 --> 00:26:38.511
Show me where those are over and over again.

00:26:38.511 --> 00:26:50.008
Anything that falls out of anomaly, then it gets read by a human and let them make that determination that's going to you know medicine you always think of.

00:26:50.028 --> 00:26:53.203
you know like Star Trek, that guy went like this and you go.

00:26:53.203 --> 00:26:56.271
You go up and down on you and be like that's what's wrong with you.

00:26:56.271 --> 00:26:58.064
You know.

00:26:58.064 --> 00:27:01.059
Not tell me what's wrong with you.

00:27:01.059 --> 00:27:03.067
People don't express their feelings.

00:27:03.067 --> 00:27:05.489
People don't explain what's truly wrong with them.

00:27:05.489 --> 00:27:11.528
The doctor has to ask open ended questions in order to understand that.

00:27:11.528 --> 00:27:37.766
If I can use AI to help reduce a lot of those error problems or at least give a doctor a better idea where to focus because you've got to think a doctor has to know everything today and then he's limited based on what the insurance companies are telling him he has to do so if I can reduce some of that complexity there and say here's a patient, here's what we know about the patient, here's a quick little summary.

00:27:38.160 --> 00:27:41.808
So I guess, to summarize, it's really improving your quality of life.

00:27:42.530 --> 00:27:43.313
That's how I feel.

00:27:43.313 --> 00:28:01.866
For me, resilience is about treating a new playbook, so taking that same playbook and updating it and constantly looking at it and going how do I evolve that playbook, how do I simplify my life, how do I give myself back time?

00:28:01.866 --> 00:28:05.469
And then you know how do I evolve.

00:28:05.469 --> 00:28:07.684
So you got to think we evolved as humans.

00:28:07.684 --> 00:28:13.910
We get smarter, we create more, we do things that we've never done before.

00:28:13.910 --> 00:28:16.365
So think of the caveman and look at us.

00:28:16.365 --> 00:28:20.602
Now we sit and work on our computers all day long, or he went out hunting.

00:28:20.602 --> 00:28:22.667
We've evolved from that.

00:28:22.667 --> 00:28:32.554
But it's all about solving real problems, and I think if we use AI to help solve real world problems, then we can move forward together.

00:28:32.554 --> 00:28:38.330
But if we don't do that, then what was the point of creating AI at this point?

00:28:39.161 --> 00:28:43.489
I guess you'll have to ask the masters of technology on that.

00:28:43.931 --> 00:28:50.788
Yeah, I will tell on this one, which is what happens on the next round.

00:28:50.788 --> 00:28:53.185
How does it get smarter?

00:28:53.185 --> 00:28:56.826
So, when you think of like agentic AI, what is the agentic?

00:28:56.826 --> 00:28:57.708
Ai doing for you.

00:28:57.887 --> 00:29:04.066
It helps you think, or it helps, you think yeah, so it's using common sense language.

00:29:04.066 --> 00:29:07.653
So it's saying Yogi, you do this same pattern every time.

00:29:07.653 --> 00:29:10.505
How would I turn that into a workflow?

00:29:10.505 --> 00:29:12.891
How do I address that?

00:29:12.891 --> 00:29:19.371
Instead of saying you know you have 25 different apps, couldn't we actually combine those into one?

00:29:19.371 --> 00:29:30.949
That's more of a dynamic, data-driven application, using a GenTech AI to say let's connect these markers together, give you a better application.

00:29:31.390 --> 00:29:32.211
Same thing with the doctor.

00:29:32.211 --> 00:29:36.932
How do I connect those markers and say here's the 25 things you should have been looking at.

00:29:36.932 --> 00:29:46.467
You totally missed because you're sleepy or because we need to reduce the time to see patients, or I need to reduce and summarize more.

00:29:46.887 --> 00:29:48.491
You know I look at it every day.

00:29:48.531 --> 00:29:50.403
I use AI to summarize meetings.

00:29:50.403 --> 00:29:50.885
I look at it and go.

00:29:50.885 --> 00:29:51.448
I write notes all day long.

00:29:51.448 --> 00:29:52.089
You know I look at it every day.

00:29:52.109 --> 00:29:52.893
I use AI to summarize meetings.

00:29:52.893 --> 00:29:53.214
I look at it.

00:29:53.214 --> 00:29:53.757
I write notes all day long.

00:29:53.757 --> 00:29:54.599
You know, I have a pen and paper.

00:29:55.339 --> 00:29:57.007
But when I use a pen and paper, what happens?

00:29:57.007 --> 00:29:59.900
I miss things because I'm not paying attention.

00:29:59.900 --> 00:30:01.142
I'm writing my note.

00:30:01.803 --> 00:30:04.866
But if I use AI to enhance?

00:30:05.508 --> 00:30:06.849
my daily routine.

00:30:06.849 --> 00:30:08.692
Summarize my emails.

00:30:08.692 --> 00:30:10.336
Give me what I really need to know.

00:30:10.336 --> 00:30:10.923
Tell me.

00:30:10.923 --> 00:30:27.423
And well, well and from from a gratitude standpoint, it's being present it's being present absolutely and and I always kind of look at I go gratitude is about being present, but also gratitude is about disruptions, to open new doors, I know kind of takes that a different way.

00:30:27.423 --> 00:30:31.090
But if I look at, and I, how do I open new doors?

00:30:31.090 --> 00:30:32.874
How do I help others succeed?

00:30:32.874 --> 00:30:36.691
That's really where the gratitude of AI falls into place.

00:30:37.682 --> 00:30:41.271
Yeah, now you painted the right picture because I just wanted to ask.

00:30:41.271 --> 00:30:43.026
So, michael, bring it home right.

00:30:43.026 --> 00:30:54.685
In terms of the first half of our conversation, we were talking about resilience, gratitude, what's in our heart, how we lead with our heart, and then morphing into more of a technology conversation around AI.

00:30:54.685 --> 00:30:57.231
So bring it home for us, michael.

00:30:57.231 --> 00:30:57.853
We're in a huddle.

00:30:57.853 --> 00:31:00.785
Right, it's a fourth quarter, I would say.

00:31:00.785 --> 00:31:08.804
Your Cincinnati Bengals are down 24-21 by the Browns, so take it from here.

00:31:09.305 --> 00:31:16.256
Yeah, when I look at a team huddle, you know I go all right, team, this is what we're going to do.

00:31:16.256 --> 00:31:20.491
It's gratitude doesn't erase hardship.

00:31:20.491 --> 00:31:22.786
It transforms it.

00:31:24.280 --> 00:31:28.846
Think about that for a second, it's gratitude, grit, growth.

00:31:29.489 --> 00:31:30.191
That's what it does.

00:31:30.191 --> 00:31:34.711
It helps transform what you have today into something beautiful.

00:31:34.711 --> 00:31:40.405
A friend of mine always talks about butterflies and I'm like why butterflies?

00:31:40.405 --> 00:31:43.931
He said do you know what the worm does in order to become a butterfly?

00:31:43.931 --> 00:31:48.750
It goes through a painful process in order to be this absolutely gorgeous butterfly.

00:31:48.750 --> 00:32:00.026
I didn't know that, but that's what transformation In order to transform, it has to have grit, it has to have growth In order to transform.

00:32:01.342 --> 00:32:02.747
And then I'll also look at it as I go.

00:32:02.960 --> 00:32:06.207
When a playbook changes, gratitude is the new playbook.

00:32:06.207 --> 00:32:12.305
So gratitude, grit, growth, and then if I, if I close, it out.

00:32:12.305 --> 00:32:14.751
I've been talking to you about this walkout deck.

00:32:15.861 --> 00:32:17.865
And I look at this walkout deck and I go.

00:32:18.366 --> 00:32:23.328
It's the stories, it's the slides, it's what you leave people with.

00:32:23.328 --> 00:32:27.890
So it's how I leave you with care.

00:32:27.890 --> 00:32:29.741
How do I leave you to be better?

00:32:29.741 --> 00:32:31.703
Care, how do I leave you to be better?

00:32:31.703 --> 00:32:37.611
It's that mantra of gratitude plus influence, plus resilience.

00:32:37.611 --> 00:32:39.873
That's what I leave you with today.

00:32:40.394 --> 00:32:46.844
And that is a great way to end the segment and again for the listeners on YouTube.

00:32:46.844 --> 00:32:56.230
Again, we had a little minor technical difficulty where we had to do this in two recordings in a day, so hence the different uh lighting.

00:32:56.430 --> 00:33:08.421
I think you can see the light shining me right, shining darkness on you, michael I have every light on in the room, but I didn't turn on my uh, my other lights.

00:33:08.421 --> 00:33:10.026
I'm thinking, all right, this is gonna work.

00:33:10.467 --> 00:33:11.790
I'm just messing with you, michael.

00:33:11.790 --> 00:33:15.942
I know you're just messing with me, but you know, I think.

00:33:15.942 --> 00:33:19.152
But it was quite an honor to have this conversation with you.

00:33:20.181 --> 00:33:21.021
Oh, absolutely.

00:33:21.021 --> 00:33:32.472
And remember gratitude fuels influence, and that's what you're doing, yogi, is that you're influencing, you're building resilience in this world today.

00:33:32.472 --> 00:33:34.125
We need more people like you.

00:33:34.125 --> 00:33:37.705
Please keep this up, and it's been an honor to be here.

00:33:38.067 --> 00:33:40.303
Thank you, that means a lot to me.

00:33:40.482 --> 00:33:41.384
No problem, thank you.

00:33:41.384 --> 00:33:41.967
All right, take care.