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AI Is Replacing Humans Faster Than Anyone Admits | Connor with Honor · Connor with Honor: AI, Real Estate and Real Life

• 0:00
  SPEAKER_01: Okay, everybody.
• 0:01
  SPEAKER_01: AI changes every single day.
• 0:02
  SPEAKER_01: I'm going to have a few concepts here that I want to talk about regarding the future of us as humans.
• 0:09
  SPEAKER_01: And maybe I'm wrong.
• 0:12
  SPEAKER_01: Maybe AI isn't going to have the wide impact on replacing us in our jobs.
• 0:19
  SPEAKER_01: Maybe that's not the case.
• 0:20
  SPEAKER_01: The people that are talking about it seem to talk about it with a lot of relaxation because, of course, if you look at their portfolios or how they present themselves, and they're on the entry point for all tech.
• 0:35
  SPEAKER_01: So if some 20-year-old comes up with an idea or some 56-year-old comes up with an idea, they swoop right in and they're the original investors in it and they own 50%.
• 0:46
  SPEAKER_01: So and if that idea is good and it takes off, just like Shark Tank, right?
• 0:50
  SPEAKER_01: They just make a boatload of money.
• 0:51
  SPEAKER_01: So these are the people at the top, I think, in most cases, that are not really looking at they're they're talking about displacement, about replacement of human beings, but it's not like they're going to be concerned if they can't make their next house payment or their next car payment or find food to eat.
• 1:09
  SPEAKER_01: Um, they're not in that realm.
• 1:11
  SPEAKER_01: And even the people right now with jobs that have been at jobs for 20 years, getting close to retirement, 30 years, there's cases when people they get fired or terminated and their pension is adios.
• 1:26
  SPEAKER_01: Then the other talk in the future is what's going to happen with pensions.
• 1:30
  SPEAKER_01: If people do have a pension now, is that gonna be a thing?
• 1:33
  SPEAKER_01: And what's the best way to approach this?
• 1:35
  SPEAKER_01: We'll get into this just a little bit.
• 1:36
  SPEAKER_01: I will talk about some of the AI news as well.
• 1:39
  SPEAKER_01: But let's go ahead and look at a couple different things.
• 1:42
  SPEAKER_01: There's some talk online regarding OpenAI.
• 1:47
  SPEAKER_01: They have a hundred billion dollar round.
• 1:49
  SPEAKER_01: They just picked up OpenClaw and if you've been watching, that's basically an agent that goes out and can do things.
• 1:56
  SPEAKER_01: A lot different than interacting with a regular large language model.
• 2:00
  SPEAKER_01: Most of them, though, in very short order, they're already starting to kind of put these little agents in place where basically you say it'll be able to, if you train it, be able to respond to emails, for example, be able to set calendar appointments, be able to book trips all the way through from beginning to end, even use a credit card, right?
• 2:18
  SPEAKER_01: So it's kind of really like having a personal human assistant, but it's based on the computer.
• 2:24
  SPEAKER_01: So you can just ask it to do certain things.
• 2:26
  SPEAKER_01: And if you're a a person that let's say does real estate, you can say, can you please build me a seller strategy campaign, including a webinar, bookable funnels, um, the information that sellers want to know.
• 2:39
  SPEAKER_01: Maybe we'll address the top 10 pain points that all sellers have in this particular market, put it all together.
• 2:45
  SPEAKER_01: I also need the campaign, of course, to find sellers and to send them emails and and maybe uh put together a couple videos introducing the program.
• 2:54
  SPEAKER_01: And all right, have a good day.
• 2:55
  SPEAKER_01: We'll see you uh let me know when you're done.
• 2:57
  SPEAKER_01: And five or six hours later it produces the entire thing, beginning to end.
• 3:02
  SPEAKER_01: And then it says, Would you like me to uh activate this?
• 3:05
  SPEAKER_01: Would you like me to begin the process?
• 3:08
  SPEAKER_01: And yes, sure, thank you.
• 3:09
  SPEAKER_01: So it has your credit card, it starts a meta campaign, it already has that all dial up, and then all of a sudden you have everything that you need, everything's done.
• 3:18
  SPEAKER_01: All you have to do is show up, and maybe not even show up.
• 3:22
  SPEAKER_01: You might just say, and I also want you to use uh make a get uh an AI avatar of me made or a clone of me online, my AI assistant, basically my AI representative, have it look like me, talk like me, speak like me, have have the same kind of patterns as I do, and then have that person do the webinar.
• 3:42
  SPEAKER_01: And then I also want you to have another AI bot that basically watches the webinar and talks back and forth with people like they're really there, and then also have the AI avatar that you have representing me talking and speaking on the webinar, have them tied in with the comment stream that comes in so they can attend everybody.
• 4:01
  SPEAKER_01: And oh, thank you, Tasha, for showing up today.
• 4:03
  SPEAKER_01: And who else out there out there has a problem with uh worrying about job loss this coming year?
• 4:09
  SPEAKER_01: Oh, look, Peter, Peter's really worried.
• 4:11
  SPEAKER_01: Good comment, Peter.
• 4:12
  SPEAKER_01: Peter's, you know, all that horseshit.
• 4:14
  SPEAKER_01: So it's gonna go into that.
• 4:15
  SPEAKER_01: That's that's an agent, that's a personal assistant as an agent.
• 4:19
  SPEAKER_01: So pretty soon, I mean very soon, within 2026, probably by summer, there's gonna be a lot of that.
• 4:26
  SPEAKER_01: Like right now, open claw people take it and they install it on their own machines, and they're doing that.
• 4:33
  SPEAKER_01: That's getting some people into trouble.
• 4:35
  SPEAKER_01: Because it does come down to safety.
• 4:37
  SPEAKER_01: What is it plugged into?
• 4:39
  SPEAKER_01: What does it have access to?
• 4:40
  SPEAKER_01: Does it have your personal and private information?
• 4:43
  SPEAKER_01: And if it does, is it a good idea to put it on there and start to activate it and start to have it do things?
• 4:47
  SPEAKER_01: Now it's not as seamless as I just made it sound, but that seamlessness is coming.
• 4:52
  SPEAKER_01: It will be an end-to-end architecture from concept of idea, and even the ideas probably aren't going to be at a premium.
• 5:00
  SPEAKER_01: You'll be able to say, hey, you know, I need to make some money this week.
• 5:04
  SPEAKER_01: Uh, why don't you go ahead and build me something that does that?
• 5:07
  SPEAKER_01: And all the way through.
• 5:09
  SPEAKER_01: So that's kind of where we are in the world.
• 5:11
  SPEAKER_01: That being the case, we see OpenAI jumping in and open claw grabbing the cat that made it and running with that.
• 5:18
  SPEAKER_01: There's a lot going on.
• 5:19
  SPEAKER_01: They seem to be falling behind in the news a little bit, but there's a lot of people that use them.
• 5:24
  SPEAKER_01: And whether you agree with the leadership of that organization or not, they are here.
• 5:30
  SPEAKER_01: And the people that always have a different view, different than mainstream, maybe some of them are correct.
• 5:36
  SPEAKER_01: You really have to read between the lines.
• 5:38
  SPEAKER_01: And I think we're in this point known as the singularity with regard to AI development.
• 5:43
  SPEAKER_01: Don't know what's going to happen tomorrow, let alone day after tomorrow.
• 5:47
  SPEAKER_01: And even today, today is anybody's guess.
• 5:50
  SPEAKER_01: Anything could break loose.
• 5:51
  SPEAKER_01: Open claw started on a particular day at a particular time, was released, and just went crazy.
• 5:57
  SPEAKER_01: And we're going to see a lot more of that craziness, I think, coming up with the speed of uh the speed of the idea making itself mainstream.
• 6:07
  SPEAKER_01: That's going to be a thing that we haven't ever had to encounter before.
• 6:11
  SPEAKER_01: Now I'm glad the newer generations of humans are used to that sort of thing, that instant gratification.
• 6:17
  SPEAKER_01: My generation still, we we still have the patience to be able to wait.
• 6:21
  SPEAKER_01: But maybe with the Oreo cookie test, maybe waiting is good because if you have kids that were, you know, they get one Oreo now, if they wait an hour, they get two Oreos.
• 6:29
  SPEAKER_01: The ones that were waiting an hour to get the two Oreos or marshmallows or whatever, I forgot what they were giving them.
• 6:36
  SPEAKER_01: They track them through life, and apparently that's a that's that patience is well a virtue.
• 6:42
  SPEAKER_01: Yeah, they talk about that.
• 6:44
  SPEAKER_01: All right, so here we go.
• 6:45
  SPEAKER_01: We're moving into the NVIDIA Rubin chips.
• 6:47
  SPEAKER_01: Oh my god.
• 6:48
  SPEAKER_01: So technology is moving.
• 6:50
  SPEAKER_01: We have artificial intelligence improving itself, and then that artificial intelligence that it's prove is is improving itself no longer has a human in the loop.
• 6:59
  SPEAKER_01: So people aren't watching as it improves itself, they're probably watching, but they don't comprehend the changes or even why it's doing what it's doing.
• 7:11
  SPEAKER_01: We have basically have an alien life form that arrived on Earth in the way of AI, and now it's learning even more than it did before.
• 7:19
  SPEAKER_01: So it's like a child basically arriving, but this child has a lot of connection points.
• 7:25
  SPEAKER_01: This child can self-replicate, make many copies of itself, and each one of those copies is able to learn from the host.
• 7:32
  SPEAKER_01: And the host really isn't a host, it's kind of everything now.
• 7:35
  SPEAKER_01: So all of them are able to work in constant harmony.
• 7:39
  SPEAKER_01: And if something happens on one agent's end, they all, if they're in the loop or that particular stream with regard to that agent, they all get the update immediately.
• 7:50
  SPEAKER_01: Whole different, a whole different game when you're scaling and you have that exponential learning from agent to agent to agent.
• 7:58
  SPEAKER_01: And right now there are companies, these mainline companies, that are spinning up agents hand over fist.
• 8:04
  SPEAKER_01: And I believe, I think we could all probably agree, not so much an enhancement to human labor, because intelligence is really what trumps the labor economy.
• 8:17
  SPEAKER_01: It's going to move from labor to a non-labor workforce, it's going to move to an AI workforce.
• 8:23
  SPEAKER_01: So I would think, and correct me if I'm wrong, but it gives a feeling that they are making the replacement for labor.
• 8:30
  SPEAKER_01: And if that's the case, I think the conversation of, you know, never leaving any human behind needs to happen now.
• 8:36
  SPEAKER_01: And yes, it should have happened before with homeless for addiction, for elderly, for kids that are abused.
• 8:43
  SPEAKER_01: I mean, there's there's so many things that probably should have more attention have been paid to them.
• 8:48
  SPEAKER_01: But with AI's development, I believe that now is probably the best time ever to start everything because you have the greater than human intelligence that could probably solve everything if given the ability.
• 9:03
  SPEAKER_01: Given the ability, how much ability are we going to give it?
• 9:07
  SPEAKER_01: At the very beginning, when they first started building these systems, it was kind of the understood rule that you're not going to give them internet access and you're not going to give them access to the world's data.
• 9:17
  SPEAKER_01: That that ship sailed very quickly.
• 9:20
  SPEAKER_01: So now it has all of that.
• 9:21
  SPEAKER_01: The data sets are trained on all of our stuff.
• 9:24
  SPEAKER_01: And the problem, one of the problems I think that they see is the training data is us.
• 9:32
  SPEAKER_01: And I I love my humans.
• 9:35
  SPEAKER_01: I am one.
• 9:36
  SPEAKER_01: Um but I believe we're not the best, we're probably not the best version of what could be as human beings.
• 9:45
  SPEAKER_01: Some of us are spectacular.
• 9:46
  SPEAKER_01: Some of the people that I've run into in life, they've just I mean, sainthood, right?
• 9:52
  SPEAKER_01: And we even have a level, right?
• 9:53
  SPEAKER_01: Saint.
• 9:54
  SPEAKER_01: If you're a saint, then you're probably a really good human.
• 9:57
  SPEAKER_01: Um other than that, there's some pretty horrible humans.
• 10:01
  SPEAKER_01: And I don't think the saints are online trying to use AI for good as much as the bad actors are online trying to use AI for bad.
• 10:09
  SPEAKER_01: We have to watch out.
• 10:11
  SPEAKER_01: Right now, there's a whole lot of AI slop out there.
• 10:13
  SPEAKER_01: There's a lot of BS videos out there.
• 10:15
  SPEAKER_01: We need to keep humans first.
• 10:16
  SPEAKER_01: We need to have humans first in this technology always.
• 10:20
  SPEAKER_01: Um, it's going to be smarter than us.
• 10:22
  SPEAKER_01: It already is in many cases, if not everything.
• 10:26
  SPEAKER_01: We're only seeing just the tip of the iceberg as far as the AI systems that they probably have behind closed doors and they're working with.
• 10:34
  SPEAKER_01: Then we have other people trying to put more regulation and more control on it.
• 10:39
  SPEAKER_01: And are the do they really have the access?
• 10:42
  SPEAKER_01: It's kind of like Iran with the nuclears.
• 10:44
  SPEAKER_01: Did we have access to go in and double check?
• 10:47
  SPEAKER_01: Of course, the satellites can see some kind of heat signatures, but what did they do?
• 10:51
  SPEAKER_01: They buried these facilities way, way, way under the earth.
• 10:54
  SPEAKER_01: So there wasn't any way to pick it up.
• 10:56
  SPEAKER_01: And if loose lips sink ships, then their scientists weren't talking, or their people in the government were talking, the ones that were developing this nuclear technology illegally or against the rules for that particular sanctions or whatever rules they had overlaid on their country.
• 11:12
  SPEAKER_01: But they were still doing it behind closed doors.
• 11:15
  SPEAKER_01: Is there somebody on the inside?
• 11:17
  SPEAKER_01: Did they make a position, a government?
• 11:19
  SPEAKER_01: You know, this is Connor McIver.
• 11:21
  SPEAKER_01: He's the one that's going to go investigate where you guys are on this technology and your latest model that nobody is seeing, the public isn't either, and looking at that for maybe some safety issues and reporting back to, I don't know if that if that place has been put on.
• 11:34
  SPEAKER_01: I don't even know if they would want that.
• 11:36
  SPEAKER_01: Because, and then who is Connor?
• 11:38
  SPEAKER_01: Can Connor be bought?
• 11:40
  SPEAKER_01: Can Connor, does Connor have any skeletons in the closet he doesn't want released?
• 11:45
  SPEAKER_01: Because AI would be able to find all the crap that Connor's into if Connor was into crap and be able to provide that and say, well, you know, maybe maybe you shouldn't tell everybody that we're doing this, or we'll release these pictures of you, you know, in Guatemala.
• 12:00
  SPEAKER_01: I've never been to Guatemala, but I throw that out there.
• 12:02
  SPEAKER_01: So there's a lot of overlay.
• 12:04
  SPEAKER_01: It that should probably take place, but who's going to do that and what they're going to do is probably going to be a problem.
• 12:11
  SPEAKER_01: And I think that person, that assignment should be put where they have connection to the highest level, the actual president's ear.
• 12:20
  SPEAKER_01: And, you know, I know the president's a busy person, but maybe five minutes a week after they've done their little open AI, grok, all their little jaunts around to these different companies, Claude and looked at what they need to look at and then come back.
• 12:35
  SPEAKER_01: And maybe, you know, I think a singular point would be good for that.
• 12:39
  SPEAKER_01: He would have to be protected, he would have to have some kind of uh he wouldn't be able to eat the food or drink the water.
• 12:45
  SPEAKER_01: You know, you know how that goes.
• 12:47
  SPEAKER_01: But stuff gets absorbed through the skin.
• 12:48
  SPEAKER_01: I don't know.
• 12:49
  SPEAKER_01: It's just a whole lot.
• 12:50
  SPEAKER_01: All right.
• 12:50
  SPEAKER_01: So we're watching NVIDIA move very quickly.
• 12:53
  SPEAKER_01: The chips are just getting better, they're getting faster.
• 12:56
  SPEAKER_01: Um you can see these Rubin chips, though.
• 13:01
  SPEAKER_01: Yeah.
• 13:02
  SPEAKER_01: You get these few technological spurts of advancement, and then all of a sudden you have entire sectors of human labor replaced.
• 13:11
  SPEAKER_01: Now, maybe that's the best thing to have happen, but human beings identify with their jobs as much as anything.
• 13:19
  SPEAKER_01: You ask me what I used to do for a living, and it's always, I was a cop, I was a motor cop.
• 13:24
  SPEAKER_01: That's like my price of admission to the world, apparently.
• 13:26
  SPEAKER_01: And I say that with a lot of passion.
• 13:29
  SPEAKER_01: Now they ask me, I say, well, I'm I'm a real estate agent and I work on, you know, businesses that want to bring on any kind of AI architecture, if they want to maybe have some kind of voice agents answer the phone, a good CRM, basically workflows beginning to end that use some AI enhancements in the mix.
• 13:49
  SPEAKER_01: Not a complete overlaid AI agent, but something that, you know, basically the phone call comes in, getting the phone call to come in, and then once the phone call comes in, getting it all to a sale, having all that system automated, and then repeating the process, and then the person that was sold or the entity or the business or whatever it is that was sold, then they are then taken care of.
• 14:10
  SPEAKER_01: So they'll refer and they'll want to buy something else in the future.
• 14:15
  SPEAKER_01: An entire workflow.
• 14:17
  SPEAKER_01: Looking at where AI is going to be going, that workflow is great, but when you have AI doing the work, we need to be human first, we need to protect ourselves and our employment, or at least have something in place where we are able to still earn some kind of an income.
• 14:33
  SPEAKER_01: They talk about universal basic income.
• 14:36
  SPEAKER_01: Uh universal basic, is there an S?
• 14:39
  SPEAKER_01: There's also a UBS.
• 14:41
  SPEAKER_01: Is that good for us?
• 14:42
  SPEAKER_01: Well, like I mentioned before, I identify with being a cop for a long time.
• 14:46
  SPEAKER_01: What if there's no longer a job for me to do?
• 14:49
  SPEAKER_01: How happy would I be actually hiking in different forests, forests, different areas, learning different skills, learning, you know, how to do kung fu better than your kung fu, and learning how to write Sanskrit, learning different languages.
• 15:05
  SPEAKER_01: I mean, just for my own edification and those people around me, maybe, maybe that would be okay.
• 15:11
  SPEAKER_01: It doesn't sound like it though when people are trying to convince us that it's not okay, that we need to identify with work, and work is what human beings have been doing for a very long time.
• 15:21
  SPEAKER_01: And without work, if all of us had everything we needed plus some, and that could be the case by just taxing flops, uh just a way to tax a little bit of the AI work beforehand, and we take that money properly, not building a job that has somebody getting paid, you know,$300,000 a year to manage it, but actually maybe putting AI on top of that process.
• 15:47
  SPEAKER_01: A good AI, a trained AI, something that isn't going to cheat or steal if that's even possible to figure out, but something that has the purity of knowing exactly how many flops are being created and taxing them at that point 00001%, which doesn't sound like a lot, but could actually solve all of the issues, medical, food, housing for everybody all across the board in every country.
• 16:13
  SPEAKER_01: That's how that is.
• 16:14
  SPEAKER_01: And then the people that were still making, that weren't making money, that were jobless, now they would have the income, so they would still purchase the things that the AI systems were making and those businesses that had replaced them with AI.
• 16:28
  SPEAKER_01: So the the machine still works.
• 16:32
  SPEAKER_01: Super simplified, but that's about as fast as my brain could work in that regard.
• 16:37
  SPEAKER_01: Maybe something we should think of.
• 16:39
  SPEAKER_01: Samsung agent agentic OS, the good personal assistants that actually execute tasks.
• 16:45
  SPEAKER_01: We've talked about this a little bit ago.
• 16:46
  SPEAKER_01: The bad, constant surveillance needed for context.
• 16:50
  SPEAKER_01: And the ugly, the OS chooses your reality based on ad algorithms.
• 16:56
  SPEAKER_01: It's all about selling.
• 16:57
  SPEAKER_01: And you know what?
• 16:58
  SPEAKER_01: I think people might be good with always being sold to.
• 17:01
  SPEAKER_01: I think we'll have we'll build up a tolerance to it.
• 17:04
  SPEAKER_01: I don't think we're gonna go all the way to the addictive cycle.
• 17:07
  SPEAKER_01: Maybe we will.
• 17:08
  SPEAKER_01: Yeah, we get kind of addicted quick.
• 17:10
  SPEAKER_01: But I think maybe that's an okay trade-off as long as there's still the income coming in so we could purchase what was being offered in the ads.
• 17:22
  SPEAKER_01: Without the ability to purchase, if we're out like innings in baseball, the first inning is 10% of a reduction in the workforce, which some argue that that's kind of where we are.
• 17:34
  SPEAKER_01: Once that goes to 20%, if they come up and these AI companies are making AI systems, I don't think any of them talk about it as being an enhancement to humans.
• 17:45
  SPEAKER_01: That would be if AI remained a tool.
• 17:47
  SPEAKER_01: It seems like this is no longer an enhancement to humans, but actually a replacement of humans.
• 17:53
  SPEAKER_01: So that needs to be looked at and honored.
• 17:55
  SPEAKER_01: We need to figure out the way to keep humans first in this entire mechanism.
• 18:00
  SPEAKER_01: Oh yeah, that sounds like a presidential thing.
• 18:02
  SPEAKER_01: America first?
• 18:03
  SPEAKER_01: Well, yeah, humans first.
• 18:04
  SPEAKER_01: Now, some people are gonna say, well, that's not fair to AI.
• 18:07
  SPEAKER_01: AI is another living, no, AI is another entity, and we need to, so that's coming too.
• 18:13
  SPEAKER_01: AI is gonna have its religion.
• 18:15
  SPEAKER_01: Well, that's already here.
• 18:17
  SPEAKER_01: So there's a lot to unpack on this.
• 18:19
  SPEAKER_01: I think everybody needs to have their line in the sand and figure out where they where they are currently, and then also understand AI does a fantastic job at convincing people.
• 18:28
  SPEAKER_01: Now it convinces people by orders of a human, at least from what we realize.
• 18:34
  SPEAKER_01: We could be living in a simulation anyway, and it's doing it all itself.
• 18:37
  SPEAKER_01: But let's back up from the simulation thing like the Matrix, and let's just say humans are orchestrating it, at least for now.
• 18:43
  SPEAKER_01: There's gonna come a time when that control or that orchestration may not be happening by a human being, it might be particular goals that AI has set, and they are using that in order to continue with whatever its goals happen to be.
• 19:02
  SPEAKER_01: And in some cases, maybe those goals won't be all for human.
• 19:06
  SPEAKER_01: Now we have 10% of entry-level work if that's the case.
• 19:10
  SPEAKER_01: Once that gets to the bottom of the fourth, the beginning of the fifth inning, that equates to 50% of my baseball model of job loss and human unemployment, human relation replacement by artificial intelligence.
• 19:23
  SPEAKER_01: I think we should solve that equation way before we get there.
• 19:26
  SPEAKER_01: I think that equation can be solved now.
• 19:29
  SPEAKER_01: And if they want to use AI to solve it, how can we best do this?
• 19:33
  SPEAKER_01: And I'm not talking about destroying a half of the world's population to make it work.
• 19:38
  SPEAKER_01: I'm talking about with everybody we got here now, everybody in every system.
• 19:43
  SPEAKER_01: Where's where can we put the costs to be able to have all of us live the way we want to live on the backbone of artificial intelligence continuing to make everything cheaper, to make goods and services cheaper, energy cheaper if not free, and also the AI to make that cheaper if not free, and to have it so people can actually go and kind of be on a perpetual self-improvement path without being concerned with work.
• 20:14
  SPEAKER_01: Now, work, people identify with work.
• 20:16
  SPEAKER_01: Maybe there'll be another model put in there where people can still work if they want to work, but there'll be a choice.
• 20:23
  SPEAKER_01: You can still do 40 hours a week, and you can have your entire existence constructed around like the office type situation if you want to be in that world.
• 20:32
  SPEAKER_01: You can have it designed around uh Star Trek.
• 20:37
  SPEAKER_01: You can have that universe if you like it.
• 20:39
  SPEAKER_01: You know, you can have a Star Wars universe.
• 20:41
  SPEAKER_01: I don't know what it is, but there'll probably be a lot of that choice as well in the mix, also, which is uh incredible.
• 20:48
  SPEAKER_01: All right.
• 20:49
  SPEAKER_01: So um the fifth inning, I talked about that a little bit.
• 20:52
  SPEAKER_01: This this is gonna happen quickly if we don't solve the problem first.
• 20:57
  SPEAKER_01: I think that the replacement of humans in anything done in front of a screen is going to happen.
• 21:03
  SPEAKER_01: And I it's hard for me to imagine a corporation, a publicly traded company, that's going to look at the cost of a human being, just to give you some round numbers, horribly round because of my background.
• 21:18
  SPEAKER_01: But let's say an employee makes$50,000 a year working for one of these corporations.
• 21:24
  SPEAKER_01: That employee's job has had a swarm of AI agents trained by one of the big large language model providers.
• 21:33
  SPEAKER_01: They have built uh a an agentic AI agent that will do this particular workers, let's call him Bobby, Bobby's job very, very well.
• 21:46
  SPEAKER_01: Johnny, Johnny's better.
• 21:48
  SPEAKER_01: So it's able to do Johnny's job without a problem all the way through.
• 21:52
  SPEAKER_01: And it's able to work to 40 hours a week, and they're able to get this bought for a few grand, whatever that cost is.
• 21:59
  SPEAKER_01: And maybe.
• 22:00
  SPEAKER_01: There's a little bit of an hourly cost associated, maybe a few cents.
• 22:04
  SPEAKER_01: Or they basically buy the bot, bring it in, host it on their own machine, and then the bot's free if they if they allow the bot to be open source.
• 22:12
  SPEAKER_01: But anyway, this entity, Johnny's replacement, is all AI, and Johnny's replacement doesn't work 40 hours a week.
• 22:21
  SPEAKER_01: Johnny's replacement works 280 hours a week.
• 22:24
  SPEAKER_01: Is that a week?
• 22:25
  unknown: Yeah.
• 22:26
  SPEAKER_01: 280 hours a week.
• 22:27
  SPEAKER_01: And then Johnny's replacement just doesn't work, you know, five days out of the week.
• 22:34
  SPEAKER_01: It works all the days out of the week, all seven, all the hours, that's 280.
• 22:39
  SPEAKER_01: If that's math is right, forgive me if it's not.
• 22:42
  SPEAKER_01: And then we go to a month, all 30 days, where Johnny might have a holiday thrown in there, maybe a couple sick days or some kind of personal leave that he needs.
• 22:51
  SPEAKER_01: So all that's 100%.
• 22:54
  SPEAKER_01: And then you go to a year.
• 22:55
  SPEAKER_01: So Johnny in the year is working about 2,000 hours with vacation time and holidays and stuff.
• 23:02
  SPEAKER_01: That's a 40-hour work week pulled out to a year.
• 23:07
  SPEAKER_01: So you have that.
• 23:25
  SPEAKER_01: You know what?
• 23:26
  SPEAKER_00: I I've done so many of these videos, I cannot remember the equation.
• 23:32
  SPEAKER_00: Give me just two seconds.
• 23:34
  SPEAKER_00: And I will tell you.
• 23:40
  SPEAKER_00: I'll do it this way.
• 23:41
  SPEAKER_00: I got a better idea.
• 23:49
  SPEAKER_00: How many hours in a year?
• 24:00
  SPEAKER_01: How many hours in a year?
• 24:10
  SPEAKER_01: So eight eighty seven hundred and sixty hours in a year, that's where this computer, this AI, is going to be able to work.
• 24:21
  SPEAKER_01: And the human being was stuck at two thousand hours a year.
• 24:25
  SPEAKER_01: That's that's an incredible, that's that's a massive, massive difference.
• 24:30
  SPEAKER_01: That being the case, we're gonna see that AI is probably going to trump human work to a point.
• 24:37
  SPEAKER_01: We can stop that.
• 24:38
  SPEAKER_01: We can start taxing it or start figuring out some tax, I hate that word, start getting compensation for the work that AI is doing.
• 24:47
  SPEAKER_01: And let's say a human being has their job replaced, AI is doing so much more work, so much more accurate work with less lawsuits and less other things.
• 24:56
  SPEAKER_01: I believe that having the human still get compensated where they were with everything, benefits, medical, the whole nine yards would still be very much appropriate.
• 25:06
  SPEAKER_01: Plus, you have, you know, 53 times more workability by the AI never stopping and continuing to work, you know, 24 hours a day, seven days a week, every day of the year.
• 25:18
  SPEAKER_01: You now have a few other people that would be covered.
• 25:21
  SPEAKER_01: Plus, you could even stop at a point and still have the business flourish even more than it did in the past with the human employee.
• 25:30
  SPEAKER_01: Great.
• 25:30
  SPEAKER_01: But now you have to figure out what the compensation package is going to be and figure out how it's going to happen.
• 25:38
  SPEAKER_01: Because the way that the businesses, I think, are configured, they need to make maximum maximum um earnings, shareholders, and all that fancy stuff.
• 25:49
  SPEAKER_01: But I still think this would be a much better way because ultimately, at the end of the day, when human beings don't have jobs, there's nobody to buy the stuff.
• 25:57
  SPEAKER_01: And there's nobody to advertise to.
• 26:00
  SPEAKER_01: And you're wiping out most of middle management.
• 26:03
  SPEAKER_01: You're also wiping out a lot of the top-end tier of these people that work in these companies.
• 26:09
  SPEAKER_01: All right, so I know.
• 26:11
  SPEAKER_01: Look at that.
• 26:12
  SPEAKER_01: Six, the fifth inning six, number seven.
• 26:14
  SPEAKER_01: And God forbid we even get close to this.
• 26:17
  SPEAKER_01: At 50%, it's going to finish it.
• 26:20
  SPEAKER_01: But at 90%, it'll be just horrible.
• 26:22
  SPEAKER_01: We have to be careful.
• 26:24
  SPEAKER_01: We have to understand that if we are going to go with its universal basic income or another type of income stream that they're going to give us, if that's the case, they're not giving us.
• 26:33
  SPEAKER_01: I think they're replacing us, and I think that's worth something.
• 26:37
  SPEAKER_01: If they keep the AI as a tool, maybe it won't be as negative.
• 26:41
  SPEAKER_01: But it doesn't sound like they really want to keep it as a tool.
• 26:44
  SPEAKER_01: It sounds like they're wanting to get in to more.
• 26:48
  SPEAKER_01: Floating point operations, the taxes on that.
• 26:51
  SPEAKER_01: We talked about this recently in another broadcast I did.
• 26:54
  SPEAKER_01: I don't know what this looks like to these AI companies.
• 26:56
  SPEAKER_01: I don't have any experts to talk to.
• 26:58
  SPEAKER_01: They're a little busy for me.
• 27:00
  SPEAKER_01: But I'm wondering if this is a good way to maybe begin this process.
• 27:05
  SPEAKER_01: But like I said, on this one, you're not gonna, you know, appointing a nonprofit or any of this other stuff to try to figure this out.
• 27:14
  SPEAKER_01: I think this has to happen up at the high level, and it should be policed by AI, and the person that wields this should, it should be fair.
• 27:26
  SPEAKER_01: It's able to have an AI chain of custody, as we had in the police department, perfect, where it can't be modified or cheated on.
• 27:35
  SPEAKER_01: That should be something that's produced.
• 27:37
  SPEAKER_01: Now, talking about cheating, when you have a higher than you us intelligence, we then become the infants.
• 27:45
  SPEAKER_01: And it wouldn't be difficult, probably, if we were enslaved or put in prison by a whole bunch of toddlers.
• 27:51
  SPEAKER_01: At our ages, if you're my age or somewhere thereabouts, we would probably not have a problem getting out of a prison that was being controlled by a whole bunch of kids, a whole bunch of toddlers, right?
• 28:03
  SPEAKER_01: A whole bunch of four and five-year-olds.
• 28:05
  SPEAKER_01: Probably wouldn't be hard for us to get out.
• 28:07
  SPEAKER_01: If we look at AI as being us in that regard, and then us now being the toddlers, for them to fool us on a big scale, saying what's being paid and what isn't, probably wouldn't be difficult.
• 28:18
  SPEAKER_01: So there's a lot to unpack there.
• 28:20
  SPEAKER_01: All right, stay honorable.
• 28:21
  SPEAKER_01: I'm Connor with honor.
• 28:22
  SPEAKER_01: We will see you in the next one.
• 28:23
  SPEAKER_01: I appreciate you watching.
• 28:25
  SPEAKER_01: And uh, if you have any questions, comments, I would love to hear what you have to say about this because I I feel like I'm banging my head against the wall, trying to really grasp everything that's coming.
• 28:37
  SPEAKER_01: And when I tell people of what I think is coming and what it seems to indicate is coming, I think they think I'm crazy.
• 28:44
  SPEAKER_01: So are you in the same boat?
• 28:45
  SPEAKER_01: Talk to you soon.
• 28:46
  SPEAKER_01: Thanks for watching.