Latest / Connor with Honor: AI, Real Estate and Real Life / Is AI Coming for Your Job? Pull It Apart Before You Panic

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Is AI Coming for Your Job? Pull It Apart Before You Panic · Connor with Honor: AI, Real Estate and Real Life

• 0:00
  SPEAKER_00: Here's one for you.
• 0:01
  SPEAKER_00: Is AI gonna wipe out my job or your job?
• 0:05
  SPEAKER_00: Great question.
• 0:05
  SPEAKER_00: Let's break it down a little bit.
• 0:07
  SPEAKER_00: Globally speaking, your job is probably a lot more than one thing.
• 0:11
  SPEAKER_00: And I talk to my real estate agent friends about this all the time.
• 0:15
  SPEAKER_00: People and other endeavors, even something as simple as plumbing, you don't just plumb.
• 0:21
  SPEAKER_00: There's a lot of things part of your process.
• 0:23
  SPEAKER_00: As a real estate agent, you just don't close real estate deals.
• 0:27
  SPEAKER_00: There's a whole bunch of things in that pipeline.
• 0:29
  SPEAKER_00: So if you want to know if AI is actually going to replace people in your type of employment, then that question would be is look at exactly the things that you do.
• 0:39
  SPEAKER_00: Piece it out, pull it all apart and see exactly what parts AI can do and what AI can't do.
• 0:46
  SPEAKER_00: Now, you might say, well, how the hell would I know what AI can do?
• 0:49
  SPEAKER_00: AI is pretty amazing in some respects.
• 0:51
  SPEAKER_00: And some people I think would it would share that sentiment.
• 0:54
  SPEAKER_00: But AI is trapped at this moment inside of a box, inside of your cell phone, inside of a computer, inside of some sort of a device.
• 1:04
  SPEAKER_00: In the future, AI is going to be released into the world via robots, and it's probably going to be strapped onto those quite readily.
• 1:11
  SPEAKER_00: When that happens, you're still dealing with a metal or plastic or whatever it's made of, something very much different than a human being.
• 1:21
  SPEAKER_00: To be able to get sympathy and empathy from such an entity, maybe.
• 1:25
  SPEAKER_00: But ultimately, to feel the warmth of the hug from such an entity, unless it has some kind of a heating structure on it, holding hot metal still doesn't help the human being get through whatever tragedy that they happen to be needed or happen to need help getting through.
• 1:40
  SPEAKER_00: So if your particular employment, let's say real estate agent, we break it down.
• 1:45
  SPEAKER_00: A real estate agent is a lot more than writing contracts.
• 1:48
  SPEAKER_00: It's a lot more than doing the hard, heavy lifting when it comes to preparing a competitive market analysis of a particular residence.
• 1:56
  SPEAKER_00: A lot of that stuff can be automated, yes, but when it talks about neighborhood differences from one block to another block, and you know this depending on where you live, there are probably parts of your town or city that are very much different within just a few hundred feet.
• 2:14
  SPEAKER_00: The real estate valuation portals don't take that into account.
• 2:18
  SPEAKER_00: So hence a local agent will be able to much better price a property.
• 2:22
  SPEAKER_00: That's the human aspect.
• 2:24
  SPEAKER_00: Now, at some point, is all that data going to be able to be captured and offered out there?
• 2:28
  SPEAKER_00: I don't know.
• 2:29
  SPEAKER_00: That's a lot of information.
• 2:31
  SPEAKER_00: Now, AI has supposedly everything, and if that were the case with the syndication system, and this makes me sleep very good at night, the syndication systems, when it comes to producing an amount, they're off.
• 2:42
  SPEAKER_00: Their valuations can be off 5 to 7% in a lot of cases.
• 2:46
  SPEAKER_00: Well, that's good because they're all using artificial intelligence.
• 2:50
  SPEAKER_00: Now they're all scurrying like squirrels, trying to get the nut of the best AI so they can then tack it onto their business and make the most money in their the in their attempt to replace human beings on the real estate front.
• 3:03
  SPEAKER_00: But I think that's going to be a very long time.
• 3:05
  SPEAKER_00: The only reason being is because people, when they're spending hundreds of thousands, if not millions, of dollars, still want to deal with a flesh and blood creature versus a robot or some kind of an online system.
• 3:19
  SPEAKER_00: They want to have you there with them, shoulder to shoulder, as you walk through the residence that they're considering buying.
• 3:25
  SPEAKER_00: They want you sitting at their kitchen table or other table when you're sitting there telling them how you're going to sell their house.
• 3:32
  SPEAKER_00: It is a big deal.
• 3:34
  SPEAKER_00: But people that are running AI companies, of course, might have you believe that, yeah, time is ticking on all of these fronts.
• 3:42
  SPEAKER_00: Human replacement is going to be somewhat difficult.
• 3:45
  SPEAKER_00: There's a lot more things in every single endeavor, every single job than just one part.
• 3:51
  SPEAKER_00: Now, some jobs, maybe you're standing in a factory, you're standing on an assembly line, and you're basically capping beer bottles, like Laverne and Shirley.
• 4:00
  SPEAKER_00: Maybe that's the only part of that process.
• 4:02
  SPEAKER_00: The other dynamics that you enjoy during your shift encountering other people, you know, maybe that flirtation, these sorts of things, maybe those things can be done without.
• 4:13
  SPEAKER_00: Maybe the rhino jocking at the water fountain can be done without.
• 4:17
  SPEAKER_00: Or meeting somebody in the bathroom for the first time.
• 4:20
  SPEAKER_00: Not in a bad way, but you know, just run into somebody in the bathroom.
• 4:23
  SPEAKER_00: Maybe all that stuff can be done away with by artificial intelligence.
• 4:27
  SPEAKER_00: Most jobs aren't that.
• 4:28
  SPEAKER_00: Those are factory level.
• 4:30
  SPEAKER_00: If you're driving a vehicle, if you're driving a vehicle for a living, then look at the processes involved with you driving that vehicle.
• 4:37
  SPEAKER_00: Is it seriously just getting up and getting in the car or a truck or whatever and just driving the vehicle?
• 4:43
  SPEAKER_00: Or is there some kind of an interaction at some point along the way that really only a human being would be able to be that have conducted at this particular time?
• 4:52
  SPEAKER_00: Other things to look at.
• 4:54
  SPEAKER_00: So whenever you're thinking if AI is going to replace your job, maybe at some point it will.
• 5:00
  SPEAKER_00: At that point, I would imagine there's going to be other things that we get to do.
• 5:04
  SPEAKER_00: And hopefully those other things aren't going to involve any kind of negatives.
• 5:09
  SPEAKER_00: And hopefully that'll be something we accept.
• 5:11
  SPEAKER_00: Things are moving very, very fast.
• 5:13
  SPEAKER_00: There are this technology exponential.
• 5:16
  SPEAKER_00: And that to me doesn't mean much unless I try to call back that whole penny thing where you give somebody a penny on one day, double it the next day, and continue that over 30 days.
• 5:28
  SPEAKER_00: The first 15 or 20 days, it's not very remarkable.
• 5:32
  SPEAKER_00: But at the end of this thing, there's over$5,300,000 after 30 days of doubling a penny.
• 5:40
  SPEAKER_00: AI is moving that fast.
• 5:41
  SPEAKER_00: And the people that are in charge of it definitely aren't like most of us.
• 5:48
  SPEAKER_00: And it's a very odd thing to watch as they're building this technology that is purported to be so incredibly dangerous that they're begging the government for some kind of intervention.
• 5:59
  SPEAKER_00: Please stop us from harming the world government.
• 6:03
  SPEAKER_00: And you can see that, how it's playing out, as you have the government saying, sure, we'll be happy to, but probably not too much, because the other issue, the thing that's being talked about a lot, is the danger of another country getting this before us.
• 6:19
  SPEAKER_00: And so hence we have the story this week, July 21st, 2026, a few days ago, Kimi K3, Chinese model.
• 6:30
  SPEAKER_00: And it's very good, apparently.
• 6:33
  SPEAKER_00: Very good right up there with what systems we're running, the Clauds and the Chat GPTs of the world.
• 6:40
  SPEAKER_00: That made people a little nervous.
• 6:42
  SPEAKER_00: And what even makes them a little bit more nervous is the technology being used to build this.
• 6:47
  SPEAKER_00: The chips that they're relying on are definitely substandard in comparison to the chips that we're running here.
• 6:55
  SPEAKER_00: Because the United States government has banned those chips from being used in China.
• 6:59
  SPEAKER_00: So China, well, they did what I think a lot of people, a lot of smart people would do.
• 7:04
  SPEAKER_00: They did a workaround.
• 7:06
  SPEAKER_00: So they headed us off at the pass and they built something really, really good.
• 7:09
  SPEAKER_00: I'm curious what would happen if they would have had the good chips.
• 7:13
  SPEAKER_00: I'm curious what would happen if they had the good chips now.
• 7:16
  SPEAKER_00: Would then that then really push them way ahead of us?
• 7:20
  SPEAKER_00: Because utilizing the technology that they built to make AI better than most of our models, or at least right up there with them, using substandard technology and chips.
• 7:31
  SPEAKER_00: If they were to have the good stuff, would that change the game?
• 7:35
  SPEAKER_00: Would that elevate them on top of?
• 7:37
  SPEAKER_00: And then they say that that would be a world-ending move where China would be in charge of everything AI because once you get there, once you get to the pinnacle of superintelligence, you basically tell the machine, hey Jack, go ahead and shut down everybody else because I don't want to compete with anybody.
• 7:55
  SPEAKER_00: Now, would they do that?
• 7:56
  SPEAKER_00: Would we do that?
• 7:57
  SPEAKER_00: Would everybody who got the technology do that?
• 8:01
  SPEAKER_00: Something else to consider.
• 8:03
  SPEAKER_00: On the medical front as well, and I'll close with this.
• 8:07
  SPEAKER_00: It would be wonderful if they take AI, or they have and they are, taking it and they're pointing at medicine.
• 8:15
  SPEAKER_00: How to fix that mess?
• 8:17
  SPEAKER_00: How do you find the cure for cancer and get it done and get it released to the public within a couple weeks?
• 8:24
  SPEAKER_00: That will be something that will happen.
• 8:27
  SPEAKER_00: But the understanding of that would be if they do cure cancer tomorrow, what about all the businesses that have been formulated to try to fix cancer, keep people living longer with cancer, and in some cases potentially curing cancer via the different disciplines that have been offered out there like chemotherapy, medicines, and other things?
• 8:50
  SPEAKER_00: What happens to those companies?
• 8:52
  SPEAKER_00: And I know what you're thinking, Connor, how can you be so so crass?
• 8:56
  SPEAKER_00: Why would you think that it's more important for the world to continue on the monetary front, on the capitalist perspective, yet say that that might not be great because if they do cure cancer, which is something that kills a lot of people, then it could actually ruin that capitalist approach or the people making money in those realms and potentially crash the economy.
• 9:22
  SPEAKER_00: That shouldn't even be part of the question.
• 9:25
  SPEAKER_00: Because if somebody comes along, if AI comes along being pointed by these different entities out there that are using this to try to solve these questions, and they do find a cure, I understand there's a big approval process with the FDA.
• 9:39
  SPEAKER_00: Maybe that'll be wiped out and changed.
• 9:41
  SPEAKER_00: Once they can prove that they can actually do it without having to do five years of research.
• 9:45
  SPEAKER_00: Maybe they can get the research done in a couple weeks.
• 9:49
  SPEAKER_00: If everybody's systems, everybody's different protein structures in every body is able to be replicated down to the nth degree, and then that artificial intelligence constructed body is able to have the test done.
• 10:04
  SPEAKER_00: And that particular cancer cure works on this human being, then that human being with cancer gets that cure and then it's solved.
• 10:12
  SPEAKER_00: I think.
• 10:13
  SPEAKER_00: But this is way above my pay grade.
• 10:15
  SPEAKER_00: But I'm just saying that there's people out there that are going to probably not be appreciative of people able to live longer, people to actually have their cancer cured, and all sorts of other diseases.
• 10:27
  SPEAKER_00: Go ahead and insert disease in the blank, and you understand.
• 10:31
  SPEAKER_00: There's a lot of businesses built around all of this.
• 10:34
  SPEAKER_00: The whole economy of the United States is built around things such as these.
• 10:39
  SPEAKER_00: And if these things are solved, then that could create quite a quandary in the world and reset a lot of things.
• 10:47
  SPEAKER_00: Be careful out there.
• 10:49
  SPEAKER_00: I'm very excited personally about artificial intelligence.
• 10:54
  SPEAKER_00: I hope it's everything that the people building the technology say it is.
• 10:59
  SPEAKER_00: And most of them say it's going to equate to this utopia where nobody's going to want for anything and we're going to be able to live our best lives for multiple hundreds of years.
• 11:10
  SPEAKER_00: That would be good.
• 11:11
  SPEAKER_00: I think to get there is going to involve a little bit of uh difficulty.
• 11:17
  SPEAKER_00: And I hope we're all ready.
• 11:19
  SPEAKER_00: Right now, you always you already see entry-level employees in the computer world looking elsewhere for employment.
• 11:26
  SPEAKER_00: And I believe that's going to continue to progress.
• 11:29
  SPEAKER_00: Now, as I mentioned at the beginning, the employment factor is going to have be have a lot to do with what different components make up your particular employment pattern, your job.
• 11:40
  SPEAKER_00: What do those look like?
• 11:42
  SPEAKER_00: And how many of those can be automated?
• 11:44
  SPEAKER_00: And then the question could come in: are you willing to train your AI replacement?
• 11:49
  SPEAKER_00: Of course, it's not going to be called that.
• 11:51
  SPEAKER_00: They're going to incorporate AI at your job level and want you to work with AI in the performance of your duties.
• 11:57
  SPEAKER_00: And some people I've already heard are already kind of thwarting the machine, messing it up on purpose.
• 12:02
  SPEAKER_00: And then the people that are talking about this on the different podcasts and different video shows out there, because they're very big investors into these companies, and they have been doing this for multiple decades, which a lot of us were just trying to make a living.
• 12:16
  SPEAKER_00: But, but they say, they say that this technology is the best thing that's ever going to happen to mankind.
• 12:23
  SPEAKER_00: Well, when they say that, see, they say it because they're set.
• 12:26
  SPEAKER_00: They're not trying to get medical insurance.
• 12:28
  SPEAKER_00: They don't have any issue with that.
• 12:29
  SPEAKER_00: They have hundreds of millions of dollars, they have access to that kind of liquid capital.
• 12:34
  SPEAKER_00: And then they have all the investments because everybody goes to them and says, hey, I have this idea for cold fusion.
• 12:39
  SPEAKER_00: It's going to work.
• 12:40
  SPEAKER_00: Oh, well, here's a few million dollars.
• 12:42
  SPEAKER_00: And then when cold fusion does work, then they have billions of dollars.
• 12:46
  SPEAKER_00: See?
• 12:46
  SPEAKER_00: That's the investment cycle.
• 12:48
  SPEAKER_00: Unfortunately, most of us that watch these little shows, we don't have access to anything like that because we're still trying to get insurance.
• 12:56
  SPEAKER_00: Interesting times.
• 12:57
  SPEAKER_00: Human-to-human contact is still very important.
• 13:00
  SPEAKER_00: And we're going to see that that's going to be tried to take, that's already being trying to take away from us.
• 13:08
  SPEAKER_00: People dating AI, people falling in love with their AI, and so on.
• 13:12
  SPEAKER_00: The systems out there, the Chat GPTs, the Anthropic Clauds, the Google Geminis, the MetaSparks, these all of these different systems, pretty soon they're going to kind of run the same.
• 13:24
  SPEAKER_00: The difference is probably going to be personality and personal choice.
• 13:27
  SPEAKER_00: And maybe you've already worked with one for so long you can't imagine replacing them.
• 13:33
  SPEAKER_00: Try to break that cycle.
• 13:35
  SPEAKER_00: Try to be nimble.
• 13:36
  SPEAKER_00: Try to be like water or green tree.
• 13:39
  SPEAKER_00: Try to be bendable but not breakable.
• 13:42
  SPEAKER_00: Because ultimately, the companies themselves, and we've seen that in past practice, if somebody out there says that they're not good, or the company themselves decides to strip you of the access to a model, well, they have the power.
• 13:57
  SPEAKER_00: It's tough.
• 13:58
  SPEAKER_00: I'm Connor with Honor.
• 13:59
  SPEAKER_00: We'll see you in the next one.