Latest / The Junto Podcast / E52: AI vs Mid-Management: Who Will Survive the Great Flattening?

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E52: AI vs Mid-Management: Who Will Survive the Great Flattening? · The Junto Podcast

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Hello, America. Welcome to the Juneto podcast, where we promote the practical
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applications of critical thinking and bold creativity.
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I'm your host, Edgar Mills. Thank you for,
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Hello, America. Welcome back to episode 52. I appreciate you guys for sticking with me.
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All right. So today I want to talk about kind of not off topic,
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but we're still addressing some leadership stuff.
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But I want to talk about what I think the potential, I don't know,
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effects that AI, because AI is, it's taken over, folks.
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It's taken over in a lot of sectors.
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But what are the effects of AI on sort of mid-management, mid-level leadership?
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Which happens to be my target audience from two team guys, right?
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So I'm slightly concerned about that in that, you know, you're either going
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to have, well, we'll get to it.
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History, folks, just history proves that technological leaps,
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they disrupt the human life, the way we work,
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the procedures, it all changes.
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And the Industrial Revolution, that's the prime example.
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And and it forces us the market
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to adapt to the technology and that's not necessarily bad or good but the old
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the old uh example the the horse drawn you know buggy gave way to the automobile
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was that bad or good i mean but what that did was second and third order effects,
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was it put blacksmiths out of business and like, you know,
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frigging cowboys like stable hands and, and stuff like that.
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So yeah, it eliminated certain fields out there and need for things.
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I mean, there's still blacksmiths, but they're very niche now in, in that industry.
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And there's still stable hands for that matter out West, you know,
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there's, there's still a strong cowboy culture out there, ranch hands and whatnot.
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But on the upside, though, right, you got new technology, which creates a need
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for, there's new requirements.
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So there's new learning opportunities and a new demand for different things.
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So in the example of the automobile, now we needed automotive engineers.
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We needed mechanics. And the assembly line came to be From the automobile And,
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And then, you know, in the, well, 60s, yeah, but 70s into the 80s,
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computers, you know, they kind of started, I'm going to tell you a thing.
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When I was in middle school and junior high, I had to take typing as a class on a typewriter. Yeah.
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But computers made that stuff Well type Typewriters But Typists You know that
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used to be a thing on a resume Is how many words per minute can you type.
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That's obsolete It's obsolete You don't need to type any You can dictate And
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then have it read back Print back The whole works,
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Bookkeepers You know old school bookkeepers went away Clerks And front desk
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You know that stuff went away.
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And the industrial revolution automated a lot of stuff, the textile industry for sure.
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And like factory workers, all types of factories came, came to be.
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And then, and robotics came along to like automobile factories,
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you know, way back started going robotics.
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You know, if you remember the eighties, there was a big deal about Japan taking
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over the auto industries because they were doing robotics to build vehicles.
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And yeah, so all that stuff, well, there's an upside and downside to it.
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And AI is doing what the industrial revolution did to many industries now.
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Things are getting replaced.
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And every advancement, every technological advancement that comes along forces
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leaders, right? Never mind mid-level and ground-level workers.
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You know, high-level leadership has to evolve.
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And mid-level, especially, everybody has to evolve to adapt to a market.
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You can stick to your guns and go down with a ship and then not be employable, I guess.
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But that's probably not the best way to do it. but however fast the industrial
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revolution moved, because it did move pretty fast,
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AI is moving exponentially, exponentially faster, and those shifts are coming fast and furious.
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And down to the automating thinking, you know what I'm saying?
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And coordinating tasks that it normally takes a little team to do,
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like AI is doing it now at scale.
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Yeah. And yeah, as a leader and as any industry leader, you have to adapt or die.
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So there's some patterns out there emerging if you and if you take the time
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to do a little research, this is what I did.
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I'm not an I'm not a computer nerd. I'm not a business guy.
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But just a little reading, the articles I read, the things you know,
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you're I'm seeing it and happening. And if you're in some industry that's being
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highly affected by AI, you're probably seeing it faster than I am for sure.
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But the financial industry is a big one. I mean, it's math. AI can do it.
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Yeah, yeah, I can do it. I read an article that financial managers,
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the things they do, their jobs and their tasks,
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up to 84% of their job can be automated through predictive analytics and algorithms,
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trading, stock trading even on algorithms and whatnot.
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So that's a bad omen for financial managers.
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Retail is affected to a degree, manufacturing to a degree,
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transportation to a large degree, and we'll talk about it in a minute,
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and logistics, all those are
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certainly going to be affected most by modernization, AI modernization.
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Everything from and i'll just give you for example when i was 18 bravo i had
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to forecast ammo for the coming year well actually you know like a couple years
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out which is very difficult.
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And what that did it made it difficult for
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me is i had to forecast ammunition based
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off of the training calendar so you
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had to plan your training calendar out a long
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way but the problem with
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that was is that the training calendar constantly
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changed by no fault of our own as
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a team you know what i mean it was it was just you know
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battalion and group level
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leadership just you know always changing priorities
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on you always changing priorities and then
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your training gets affected so it
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was very difficult for me to accurately forecast
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ammo i think ai
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providing there are some some parameters
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that are that are predictable ai would
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be able to do that very effectively no problem anyway that
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was just a little side but but even stuff like
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well yeah inventory management and
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assembly lines that they have robots well those robots there's usually a human
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floating around somewhere like at some point you're going to have have 100%
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ai controlled robotic assembly lines out there that doesn't even require humans.
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And we'll make it we'll make the counter argument here in a little bit i'm just
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saying that's that's that's a possibility possibly even a likelihood that those
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are coming We'll be right back.
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You know, routing and things like that. Are there still, I wonder if at the U.S.
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Postal Service, are there still human beings sorting mail?
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And if there are, I wonder why.
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Yeah, and just overall, like, supply chain optimization, right?
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What was the, you guys remember, I mean, how could you forget the COVID era?
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And everybody's excuse for poor performance.
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Every company's excuse why they couldn't get you your product,
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everything was, oh, supply chain disruptions because of COVID.
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Well, the supply chain didn't get disrupted to good people, really.
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Arbitrary, silly mandates or suggestions. Sorry, the government never mandated
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anything. They were all just suggestions.
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But those things, well, and that had an effect on the humans,
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which had an effect on the supply chain.
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Now, could that have been eradicated completely, like those flaws and those
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disruptions, had it been run by AI? I don't know, man.
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I don't know about that. But yeah, optimization of the supply chain would,
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across America would be good, I think.
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But even stuff like customer service, if it's truly automated but functional,
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would it get better results?
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If a chatbot, would you rather talk to a human who hoes and hums and,
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well, my job's really hard and we're really busy today?
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Or a chatbot that says, stand by, I will get right on that and give you an answer.
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Hold, please. and then come back with an answer?
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Especially for like, you know, common, common problems, you know, with whatever.
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And especially on large scale. How many of you love to call a customer service
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number and get a guy who sounds very, very, very Indian, whose name Jason or Adam?
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Nobody likes that.
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But the administrative sector, right, the mid-level administrators,
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the literal paper pushers, and the clerical jobs.
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And like even, I mean, I'm going to say probably even like, you know,
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paralegals and like legal research, basic marketing.
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I've done episodes that are addressed like you are AI.
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Social media is what the ad agencies of the 60s were.
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You can now pump your own stuff out there. Creative stuff. Yeah.
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Yeah, man. So many things. Market analysis.
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There's guys that get paid big money to predict any given market.
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There's people out there gambling on sports and, well, the stock market,
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right? It's sort of a gamble, I guess.
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I don't know. The insiders got all the answers on that. But they are all subject
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to heavy, heavy, heavy AI influence.
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And if that AI is not biased, right, if it's uncontrolled,
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I don't want to say uncontrolled in like a Skynet kind of way,
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But as long as there's no biases built into it and it's fair and even across the board,
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are the people,
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the insiders, who profit the most from insider trading and that thing,
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are they going to want that to happen?
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If AI levels the playing field, are they going to want?
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That advancement in technology. I don't know, man. I doubt that.
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And then various jobs that require, you know, post-mission products or reports,
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you know, written up, periodic reports, whether it's weekly,
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monthly, whatever, or post-operation or pre-operation or frigging evaluation,
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performance evaluations.
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AI is going to be able to knock that stuff out, man. now what
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about training-wise simulated
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scenarios right on paper of course or on digits but you know to simulate what
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ifs you know you were so so wargaming so you and your people where you once
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sat around a desk and posed all these and some guy was the devil's advocate
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and you guess it went back home this stuff can be done instantly just about.
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Given the correct parameters. Yeah,
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AI processes information faster than humans do. That's the way it is.
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And all of these fields that I
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just named, there's just going to be entire layers of the hierarchy there.
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If you once had a six-tiered structure, that's going to be knocked down to about
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a three-tiered structure.
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And just like when you got a shitty economy, what happens is you lose the middle class.
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You got the rich guys that are still going to be rich. The big company leaders
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are still going to be big company leaders.
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And then you got the ground level, well, poverty and above baseline workers, right?
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The peasants that do all the physical labor.
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And then the middle ground, that's going to disappear to AI.
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Very likely, very likely. I'm not predicting the future. I'm just,
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in my opinion, I think that's coming to some degree.
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Yeah. Artificial intelligence creates repeatable, consistent processes that,
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and I don't want to say flawless because I don't know the numbers on all that.
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But it does, AI can go through a thought process faster than you can.
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Especially with parameters the right parameters built in the right principles
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built in and the doctrine and the things that especially for whatever field
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you're in using this doctrine as your guide,
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what is the most efficient way to do this XYZ.
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Yeah, there's mid-level men, mid-level leaders are looking at the axe due to AI.
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Yeah, operational level people, operations managers,
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project managers, you know, the guys out there who are doing the task org and scheduling,
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you know, shift scheduling and tracking performance metrics and doing evaluation
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reports and compliance reports.
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Reports, you're going to be removed and replaced by a user-friendly dashboard
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that, you know, you hit a couple buttons and boom,
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you get the report you want in real time, like up to date.
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You don't have to wait a year to get the compiled data from last year.
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And the government set the precedence for that, right? compiling data at a snail's pace.
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I did the episode, oh man, the euthanasia episode I did about Canada's medically assisted suicide.
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And we had the numbers as of 2025.
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No, no, no, sorry. 2024.
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No 25 numbers have yet to be compiled.
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Well, like, does it take a year and a half?
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I mean, we're not quite a half a year in this. And, you know,
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does it take a year and a quarter?
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With a computer, with AI, it wouldn't.
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Yeah, man, there's a lot of jobs are going to sooner or later go away.
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These operational level supervisors who audits, you know, budgeting reconciliation,
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or just a budget at all, ammo forecasts, performance reviews.
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I've said that performance reviews like three or four times.
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If you just want to be cold and professional about it, you go off the data that
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gets input, and then you do the math.
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The computer does the math and gives you the report.
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The administrative side of the house, you know, the front office,
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not the upstairs, right? Those guys ain't going anywhere.
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It's the front office guys and ladies.
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They're going to be gone. Entry-level marketing people, entry-level research
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people, sales coordination managers, right?
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AI is not going to replace a salesman. You still need a smooth,
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slick willy to sell the product.
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AI is not going to do that for you. But the next level up, the guys who manage
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those dudes, AI is going to do it.
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AI can coordinate all that stuff. AI can synthesize the data and kick out,
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you know, decisions, answers.
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There's a company called Gartner Inc. It's a U.S.-based research and advising
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firm, and they focus on business and technology fields.
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They did a report and a forecast that by 2026,
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one in five organizations will use AI to flatten out that hierarchy structure
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and cut more than half of the current middle management positions.
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That's by this year.
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Let's just say by the end of 2026.
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Cut more than half of current middle management positions.
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And that, they're calling the great flattening, flattening the structure.
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Well, who does that hit, man? It's the mid-level. That's who it hits. The middle class, gone.
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The people who were the conduit between the vision of the upstairs leadership and strategy,
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the conduit of the vision and the strategy and the broad execution.
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They're the they were to go between between the ground level guys in the warehouse
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the workers or whatever the executors here's how to execute you go execute.
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The middle management, they're the middle managers, right?
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The operational level leaders, they're the, yeah, go ahead and say it. They're the lube.
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They're the lube that makes it go in just a little smoother,
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that smooths out the friction points.
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And now AI does it. Now, look, I think there's always going to be a need for
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humans, but we'll get to it. We'll get to it.
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But now, there are certain industries that are AI proof, and they might be able
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to use it in some way to help make, you know, billing more efficiency or customer
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service more efficient.
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I'm sorry, billing more efficient or customer service more efficient.
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But generally speaking, well, let's look at one that's kind of little column
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A, little column B. that it's heavy in AI, but also heavy in personal touch.
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The healthcare industry, no matter what the advancements, and in the medical
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field, there are many, you see technological advancements there first because
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of the nature of what it is.
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We're allegedly trying to fix problems.
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But you need the hands-on people, especially with like trauma teams, paramedics.
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If a self-driven ambulance shows up and a robot gets out and starts,
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starts triaging, and you got two or three people standing around screaming,
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like freaked out because their, their, their cousin just got shot in the chest.
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Yeah, man, you replace a paramedic with any, right?
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That's a human job.
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Now, he may be able to learn his job more efficiently with AI.
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He may be able to use tools that are driven by AI.
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What about nursing? I'm thinking of a nursing home right now where at 2 o'clock
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in the morning when your great-grandpa.
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Who, you know, you go see him once a month or something, and he's miserable,
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and he's laying in bed, and he shits himself at 2 in the morning.
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A nurse is who changes that bed, right?
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It's not a machine. I bet they wish there was a machine that could do it, but it's not.
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Nursing is always going to be the human element.
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And what about like, well, therapy?
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Yeah, like mental, you know, psychological, emotional therapy.
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Now, I've seen some things, I've read some things where there's a lot of people
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who are taking their problems to chat GPT.
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And they're getting whatever fucking answers they're getting,
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but are we still in a phase where, where we are, are we sure we can trust everything
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you're getting from that? I don't know.
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And how does it, does it got stay in power?
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I don't know. Now, look, I generally speaking, don't trust therapy just overall,
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but I got to imagine that that's a very human thing.
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And I told you guys, I like homie therapy. That's where I'm at.
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If I'm having issues, I go to a homie.
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Hey, bro, I got problems. What do you think?
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I'm not going to type in chat GPT. Hey, bro, I got a problem.
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Here it is. What do you think?
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Because I don't, I got, I got nothing. There's no connection.
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There's nothing there. Just words on a screen.
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So all those things, therapy even requires the physical presence,
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the face-to-face, the empathy that you might get from a nurse or paramedic.
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The ethical conundrums that arise, there are some ambiguous situations that
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require sometimes you may have to do a thing that on paper doesn't look right.
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But in the moment, it's the right thing.
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That won't jive with artificial intelligence, most likely, especially in life and death situations.
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What is AI going to do? What is the algorithm going to do with life and death situations?
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I just don't think you can replicate that kind of thing.
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So, yeah, I think the medical profession is going to. Now, that said,
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what about all these like medical record, you know, people who manage the medical records?
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Yeah, those folks probably ain't going to make it. That piece of the field is
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probably going to go away, probably, sooner or later, if not already.
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What's some other people who I believe are going to, everybody knows, right?
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The skilled trades, folks, plumbers, electricians, construction workers,
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general contractors who build structures.
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You need, there has to be physical capacity there.
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Along with technical skill, on the site, right, on site, a computer,
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you might be able to AI up some blueprints.
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Now, if you draft blueprints for a living, you might be on the ropes.
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You might have to learn how to adapt your profession to that.
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But if you're a guy swinging a hammer, they're not going to be,
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and I don't care how deep the dystopia is,
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there's not going to be a workforce of
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robots big enough to replicate all
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the dudes who swing a hammer for a living but even
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then man even then especially in
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construction you know there's little decisions that need to
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be made all the time now a lot of people
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don't give enough credit to people who who frame
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houses and do handyman work
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but they're yeah that's it's tough it's
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not you can't and even if you're dumb and
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everything else on the planet you need to be smart in that you need
27:02
to know the kind of things because you can make a mistake that will compound
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and and have long-term effects and then that house not be not you know the inspector
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comes around every so often and you got stuff that's messed up on top of stuff that's messed up.
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You've got to have a person to make those calls and have the skill to see what's going on there.
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Robots ain't going to be able to do that. I just don't think so.
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Now, speaking of the trades, and I'm sure a lot of you have read the same, right?
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The desirability for the skilled trades is going through the roof,
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because unlike higher education in the college, in the academic sector,
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in the intellectual sector, you get tangible results from learning to trade.
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And then you get, Sort of you're, especially if you try to go into business
28:04
for yourself, you spend a few years, you know,
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up your experience, then you kick out on your own, man.
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And then you're not strapped with that debt that you get from these,
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these academic colleges.
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That tuition is just ridiculous. It's just, I can't remember, man.
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I saw some graph about the college tuition rise over the last 50 years versus
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the salary rise over the last 50 years. It's ridiculous. It's insane.
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And I'm not saying that the skilled trades are recession proof,
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but if your crapper gets clogged up or if a pipe busts in your basement and
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it's the middle of a recession,
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well, you still need that pipe fixed.
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If a tornado blows the roof off your house, hey, a recession or no recession, you need a roof.
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Yeah, you got a lot of stuff going on there. And then, now I don't know how,
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true or not this is, but there's some reports that there's a higher job satisfaction on a job Now,
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I've only ever done labor with those types of jobs, and I was very dissatisfied with it.
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You know, I never had designs to run my own construction company, right?
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So, I'm sure it can be rewarding. I'm sure it can, especially if you're getting
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the majority of the money back off that, right?
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But the study I'm citing here says that there's a higher job satisfaction than with desk jobs.
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Yeah, despite the physicality of it and despite being working out in the weather and stuff like that.
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Some men are just cut out to work outdoors. That's the way it is.
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Yeah. So I think, and I'm going to leave it at those. I mean, mechanics.
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It's hard to say is AI. There's a lot of computer stuff now.
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A lot of people complain about, you know, modern vehicles where you plug in
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the sensor, it reads all the stuff, you know, and then you, most everything
30:20
that you have to do requires some massive, if one, yeah.
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So our mechanics starting to lose their, their domain to, to computers and then coming soon AI.
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I mean, maybe, I don't know about mechanics.
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But we're going to do a little quick comparison to the trades versus,
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well, let's look at some median income.
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So administrative jobs, never mind the field you're in, just the records keeper, right?
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That lags behind, right? Median income is $46,000, $47,000.
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And median income across America, that's pretty low.
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And it's lower than most trades for sure. and there is not really...
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Not much growth there, right? If you're in that job, unless you're going to
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school at night, right, to get up to the next level or something,
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you're pretty much in a negative growth space when you're doing office administrative work.
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And again, in office administrative, we talked about AI is going to push you out sooner or later.
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So, and yeah, not everybody's going to want to work in the trades either.
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There are some people who are not cut out for that.
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And I know this is odd, but here's another industry I think is going to,
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it's not going to, nothing's going to become obsolete because of AI.
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It's just going to be used in a different way. And I'm talking about the military,
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specifically special operations, but the military in general.
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Now, the first thing that comes to mind when I say AI in the military, to me, it's not drones.
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It's not, you know, little robot dogs with guns mounted on them.
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It's the movie War Games from like 1980, you know.
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Or 83 or something where the
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whopper that's the acronym whopper
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and i just can't remember what it stands for but you know the the the defense
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contractor who sold the whopper to cheyenne mountain to norad space you know
32:35
military strategic strategic air command it was like yeah,
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we got to take people out of the decision-making process, you know.
32:44
In the very opening scene of the movie, there was a glitch, and all the nuclear
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guys got, or not all, just one. No, no, yeah.
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All the nuclear missile guys who sat in these little offices in these silos,
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and they had their two little keys.
33:04
You know, you turn the key, you hit the red button. And, well,
33:07
they got a real, what came across as a real order to launch a nuclear missile.
33:16
And the opening scene, yeah, like the one guy was like, turn the key, sir.
33:21
And the other guy's like, I'm not going to kill, you know, 200 million people without confirmation.
33:28
So, yeah, and then that guy, and then it cuts to, you know, the stuff.
33:33
So it turns out, yeah, the human error or the human reluctance to turn that
33:40
key turned out being correct.
33:44
So the defense contractor thought that that was a problem. That was a flaw.
33:50
Whopper would have launched those.
33:53
Good you guys should watch it if you haven't seen war games matthew
33:57
broderick it's very a's very 80s thing
33:59
to do i love it i watch it every
34:02
so often but like
34:06
special operators literal door
34:09
kick when i say literal door kickers ai is not
34:12
going to replace that now yeah oh well bombs man
34:14
now we can just drone everybody yeah that's true that's true
34:18
we can we didn't and they do they drawn
34:20
a lot of people but there's still in afghanistan
34:25
there have been times when we've been on an objective my team and all our assets
34:30
were reallocated to a higher tier mission going on and so now we're out there
34:38
in the wild with our gun trucks and you know yeah good luck yeah,
34:46
drones and AI might take over you know what I've I've just recently seen is I think they fielded,
34:53
the first UH-60 Blackhawk
34:56
pilot optional helicopter yeah so automated full-size utility helicopter I think
35:04
that's interesting I wonder if people are going to fly in it I wonder if they're
35:08
going to use it for people transport or if it's just going to be used for something about.
35:13
I'm like, I don't know what delivering munitions, I guess. I don't know.
35:20
Anyway, military stuff. There's always going to be a need for,
35:23
for the good old beloved infantry man.
35:26
Always. I don't care what anybody says.
35:29
And then first responders. I talked about those a little ago.
35:33
Yeah. A cop shows up to a, a sort of a ambiguous dispatch call and there's kids
35:43
crying and some dude bleeding and some lady smoking a cigarette,
35:47
raising, raising hell. What say I going to do?
35:52
Go shut down mode crisis response teams.
35:56
Now I say crisis response. I'm, I mean, like hurricane relief.
36:00
We saw what happened in North Carolina folks, and they're still recovering from that still.
36:06
The government shit the bed and that's it. And that's all.
36:11
No automation would have fixed any of that.
36:14
And the fact of the matter, I believe is that there's going to be certain educational roles.
36:20
You can, you can throw a lot of courses online and you don't even need a real instructor to man them.
36:26
You just, the information is there. You read it and you do the,
36:29
you do the stuff, but there's always going to be a need,
36:34
especially in the military, but everywhere there's always going to be a need,
36:39
I believe for personal mentorship, person to person, eyeball to eyeball.
36:47
Empathetic and hand, a caring hand who can guide young people,
36:56
young leaders, young whoever,
36:58
soldiers who can guide and help and educate.
37:04
Yeah, I think there's always going to be a need for that. I don't think AI is
37:09
going to do anything with that at all.
37:11
And then like small scale, you know
37:14
like personal level services right i got i got a friend chris wiley well to
37:19
chris and dave chris wiley dave howard they own they started oz pizza about
37:26
30 years ago and they started in decatur but now there's two shops down in fairbairn
37:31
one in east point one in fairbairn.
37:35
And you know they've weathered the changes they they continue to persist 30
37:40
years and they put a very personal touch on the restaurant, a very human touch.
37:48
There's no way, you know, Pizza Hut might be able to automate making pizza, you know, I guess.
37:55
But it's still a very, it's a pizza joint. That's what it is.
38:01
There's no space for AI there. There's, they might be able to use AI to,
38:07
again, you know, payroll, like to, to make things more efficient on the back,
38:13
back end, you know, administrative stuff.
38:16
But a pizza joint's a pizza joint, man. You need somebody who can sling pizza.
38:19
You need somebody who can make sandwiches.
38:21
You need a couple people to serve, you know, serve the tables, make the drinks.
38:27
That's people. You need people to do that. And some people go to a place to have that connection.
38:33
I don't even like the fountain drink. I don't even like making my own fountain drinks.
38:40
Pour me some tea man how you doing i
38:43
don't know small small scale personal stuff
38:46
like that is going to survive ai i don't think there's going to
38:49
be a thing for him you know coaching sports coaching
38:53
for sure but like leadership coaching like i
38:56
was talking about with mentorship these things that require
38:59
a person with with real-time
39:02
experience to to relay that to
39:05
a younger or another know the person yeah and
39:09
they and in that and in those fields right coaching anything that
39:13
thrives on on genuine relationships if you
39:16
respect your coach man you will soak it in
39:19
and you will become one of the best and it relies on
39:22
empathy and and trust
39:26
you can't get a genuine
39:29
relationship empathy or trust from
39:34
from any anything any
39:37
digital thing period and then
39:40
let's turn the obvious right who wants to go get a massage from an automated
39:45
a machine not this guy not this guy all right all this stuff we're talking about
39:54
that the hardest hit is going to be the mid-level,
39:59
administrative, operational level leadership.
40:02
Especially in these AI heavy sectors.
40:06
Organizations are going to shrink their mid-levels.
40:11
The middle class is going to go away. And survivors of this AI takeover who
40:16
are adaptable, they're going to find specific avenues where they can continue to add value.
40:24
If you're a mid-level manager and you know it's coming, you become become the
40:29
expert in ai as it pertains to your field and then you be the guy who's managing it.
40:37
Way you're you're you're the manager of the ai not necessarily
40:41
the manager of the people necessarily traditional supervisor yeah
40:45
you used to pay attention to all your
40:48
your guys your employees output and then you'd put the numbers on paper check
40:53
the little blocks and them up ai is going to take that away from you but what
40:58
ai can't do is is look at the the human interaction,
41:06
So if they're still ground-level dudes and they're dealing with these robots
41:10
and these very rigid or even ambiguous instructions from some machine,
41:16
and there's nuance there that needs to be interpreted, man, especially when it comes to ethics.
41:22
Like I said, some things that the book answer might not always be the right answer.
41:29
Why not always be the right answer? So there needs to be a human there to manage
41:36
those ethical dilemmas as they come up.
41:39
And then there needs, you know, the leadership.
41:43
Algorithms can't encourage you. Algorithms can't foster resilience, right?
41:51
Algorithms can't sit and listen to you over lunch. Talk about how you think
41:55
your wife's going to leave you.
41:57
And you give them the the pat on the shoulder
42:00
don't worry bro there's plenty of college girls
42:03
out there i'm just kidding no ai can't
42:06
do it man ai can't do it so there's always a need for for people but some depends
42:12
on that job but you become if you're a mid mid-level person you think to become
42:17
the ai expert yeah become the ai expert be adaptable.
42:27
We've been talking about leadership lately effective leaders have
42:30
certain traits and qualities integrity decisiveness vision right strategic vision
42:38
and in the ai era adaptability which is already a good leadership trait but
42:46
now we're talking about adaptability being a survival trait.
42:52
A decisive one. Yeah. Now I learned in my military career that overly rigid,
43:00
overly rigid leaders or
43:05
self-important leaders or guys who judge heavily others without looking at themselves
43:14
first uh sometimes they they they break down when conditions shift when conditions change,
43:25
and and i'm going to tell you i knew i knew a guy he was an ea he was a team sergeant,
43:31
and and what i i can't imagine now i don't i don't i didn't come up with him
43:36
in in group but we ended up in the same place at the same time when i ended
43:42
up but we were in the same company at the same time.
43:45
And I knew him because I knew I was buddies with some of the guys on his team,
43:51
and I knew him to be a rigid guy to the point of like no personal phone calls
43:58
during the work day from the team room phone. But...
44:04
Now, this was back when not everybody in the world had cell phones,
44:07
even back before cell phones. Now you're not supposed to have cell phones in a team room even.
44:12
So I don't know if he's ever been in a firefight or not, but they,
44:15
well, our company was in Iraq. And this dude, they got in a firefight.
44:21
And this dude literally froze.
44:24
He locked up. He couldn't move. He couldn't make a decision.
44:28
He couldn't do anything.
44:30
And a guy I know and love and respect and rest in peace.
44:35
He took over and he said, hey, man, you sit your ass right here.
44:38
Don't move. Don't do anything like you're already doing.
44:42
And then he took over, man, in the middle of a firefight.
44:46
Now, this guy was a very rigid guy. He was very, so one, he wasn't adaptable.
44:51
Yeah, he wasn't adaptable.
44:54
And two, I don't think he was a very good leader. Be a good leader,
44:58
even if you're a higher level leader, but especially men and treat artificial
45:05
intelligence, especially if it's going to be heavy in your field.
45:08
Now, I've said this phrase many times, folks.
45:12
Treat, treat AI like it's a force multiplier that adds value,
45:16
not that it's overtaking anything, but it's adding value.
45:20
You can be wary if you want, but if it's producing results, let it produce those
45:27
results and you become the manager. You become the master of it.
45:31
You continue to work on your person to person skills,
45:36
your emotional intelligence and moral courage and all the things that make human
45:43
good leaders human and your ability just to connect.
45:49
And if you have those things, a machine cannot duplicate it.
45:54
Now, on that note, everybody's seen the movie Ex Machina, yeah?
46:00
They tried very hard. They're trying very hard now. I just saw a video with like a police robot dog.
46:08
Police robot dog or was it a military? I don't know.
46:11
In some countries, there's no difference really, but that Joker had a gun strapped
46:15
to it and it went into a building and started blasting a dude. Yeah.
46:21
But that's not a human connection. Ex Mykina. That was a good movie.
46:26
And it was all very convincing, man. It was all very good.
46:29
But at the end, she may have been self-aware, but she had zero empathy for that poor bastard.
46:35
She left in the building there and the dude that, got killed.
46:39
Now I'm going to, I'm going to, I'm going to jump off here for a minute to talk about this.
46:45
And because it's weird, it's odd, but it's surprising, right? Who?
46:52
Ex Machina, police robot dogs.
46:55
What's the next thing you think about when you think about human robots or replicating humans?
47:01
Yeah the friggin sex
47:05
robots they're out look folks they're
47:09
out there now and they're pretty high speed
47:12
now and they got full you know
47:14
reactive you know body sensors on them and and
47:17
they can converse with you but as the ai gets better and and more fluid and
47:28
And they're able to have conversations with you that aren't or that are unscripted.
47:36
And there's going to be an upgrade here in 20... RealDoll is a company, I think.
47:41
And they're scheduling right now for a 2026 AI upgrade.
47:48
And that upgrade is going to integrate your sex bot...
47:54
Smart tech in your house. This is already a, I don't know. I mean,
48:01
in the scope of business, right?
48:03
$500 million industry ain't much, but it's a very niche industry right now.
48:10
But let's see. They're predicting in the midterm, right?
48:16
What's the future, right? 20, 28, 20, somewhere in the next,
48:21
within the next 10 years, they're looking at the cost of production dropping,
48:27
right, as things smooth out, the cost of production dropping.
48:31
The emotional intelligence, artificial intelligence and feedback dramatically improving.
48:39
And then the ability to converge that with even better, you know,
48:45
humanoid robotics like in Ex Machina.
48:49
And then even adding like sort of utility, not just a sex robot, right?
48:57
They're saying that robot companions will become more normalized,
49:02
obviously, among the high income, right? Regular people aren't.
49:08
For like these high level people who aren't married or whatever.
49:14
And then obviously the porn industry influence, right?
49:17
These dolls are going to, well, they're going to give you your on-demand experience, right?
49:25
All right, where did I see some numbers at? Because I want to...
49:31
Forbes here on this well this
49:34
is from forbes like so they're saying long-term predicts robot
49:40
sex overtaking human to human
49:43
sex by 2050 i i
49:46
don't see that vr virtual virtual reality sex toys becoming just widespread
49:54
by within the next you know few years and that guy's probably who knows You
50:01
know, they described him as a futurist.
50:03
And then apparently there's a lady who's an expert on what I don't know,
50:08
Kate Devlin, who says that all that stuff's going to be, it's going to remain
50:13
in a very niche market because of stigma and especially expense and then a preference
50:20
for human connection. Right.
50:22
That's, that's, that's what I think is right.
50:25
But driving the growth in the sex bot industry is, yeah, the progress in AI.
50:31
People getting older, the lack of even wanting to go out and do face-to-face
50:37
interactions, the ability to customize for whatever bizarre fantasies you want, things like that.
50:45
And then there's already been, this ain't future, folks. This has already happened.
50:49
There's been pushback and talk about regulation based on someone suggested and
50:59
they produce these dolls that look like underage children.
51:06
And they're like, hey, look, if you've got an unhealthy attraction to children, use the sex doll.
51:15
Well, I don't think that's the right answer. at all, but...
51:22
It's a concern anyway to be addressed for sure.
51:27
And then coming along with that is privacy issues, right?
51:32
Your sex bot, whatever data center is storing her information gets hacked.
51:42
Now all your weird stuff is out there for everybody. There's all kinds of things.
51:49
And then the addiction. There's all kinds of stuff, right?
51:54
Just surrounding the AI and sex bot stuff.
51:58
I wish I could. I thought I wrote this number down.
52:03
I thought I wrote a number down, but I didn't. But they're predicting within
52:07
the next 10 years that the sex bot,
52:12
AI sex bot industry is going to be a $1.5 billion industry.
52:20
Yeah well so in
52:24
that particular zone right that one
52:27
niche market but still it's there the the
52:30
the trajectory is is
52:33
it's going up up up and it's
52:38
the same innovation that's fueling the the the robot
52:41
that goes in and shoots people yeah it's the
52:44
same technology so yeah man like
52:47
that's just a weird i i got off on a rabbit hole in
52:50
that and i was like god what that's crazy but
52:54
then you look at movies like what blade runner whatever the the one with ryan
52:58
gosling do you want to what's her name diarmus is her name anna diarmus you
53:06
want do you want to you want her hanging around your house some people do.
53:13
There's not, ultimately, there's not the human touch there.
53:18
And all these things are going to have some flavor of their creator's whatever in there, right?
53:27
Like, it's not a human.
53:32
It lacks soul. It lacks real and true soul.
53:38
And much like I don't think, yeah, there's going to be people that have sex with sex robots.
53:42
But much like I don't think the sex robots are going to really catch on as far as mass appeal,
53:49
I don't think I think person to person leadership is still going to be highly
53:54
desired over the I think AI ultimately is going to replace the mundane tasks,
54:02
the math and compiling and analyzing data, the mundane.
54:09
I think there's still going to be a desire and need for person-to-person leadership.
54:15
Yeah, hostage rescue, you know, direct action missions where you have to,
54:22
there's ambiguous shit going on. You have to decipher and you have to do things.
54:27
The medical trauma responses, things like that.
54:31
Because people in these roles, and that's mid-level stuff, right?
54:35
A dude kicking the door, you know, you might be a team sergeant,
54:39
maybe, but, or if you're a CAG dude, you know, you might be a sergeant major,
54:43
but of your troop, you know what I mean?
54:46
You're going in the room and killing people. That's mid-level,
54:49
low-level stuff, really, as far as the grand scope of the leadership tier goes.
54:55
But there's always going to be a need for that. You have to be able to read
55:00
a person's expressions and their demeanor.
55:06
Can AI read demeanor? You're going to have to have a sense of these sort of...
55:14
Of your people. Can AI pick that up with no words being spoken whatsoever?
55:20
When you walk into a team room in the morning or whatever and there's some dudes
55:25
hanging around, there's a vibe and you have to be able to read that.
55:32
To need to be a human being to make ethically conflicted calls on the ground that preserves life.
55:44
So AI is going to give us the data, right? The logistics.
55:48
But AI cannot, will not, it'll never be able to earn your trust and loyalty.
55:54
Only a leader who's present and deserving and solid who's earned your trust can do that.
56:00
And it's the trust that's built between two humans that compels teams to execute
56:10
under unknown conditions or potentially deadly conditions.
56:16
It's that trust that calms sort of a panicked board or corporate team during
56:26
a massive market fluctuation where everybody thinks they're going to lose their
56:30
job and go into financial ruin.
56:32
That trust in your leader helps mitigate that stuff.
56:38
I think also, I think there's going to be a sort of an AI fatigue.
56:44
I think that's already here, especially with all the sort of on the artistic side of things.
56:50
There's our, you know, people who are digital creators and artists,
56:54
they already have the AI fatigue.
56:59
But technology advances fast and relentless, folks.
57:02
It's, yeah, always will. But human leadership, who present in the moment,
57:10
adaptable, who leads by example, will be an irreplaceable asset.
57:19
That will underwrite any company's, you know, success.
57:24
That's what I think, folks. Those are my thoughts. Those are my uneducated thoughts on AI.
57:32
All right. Hey, thanks for listening. Please give me your feedback.
57:37
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57:40
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57:46
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58:39
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58:44
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58:53
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58:58
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59:02
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59:08
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59:11
All right. I appreciate you guys and I love you guys. Take care. Bye.