Oh, how can I not be happy?
Speaker BYeah, bitcoin's down below 100,000 or 75.
Speaker BYeah, there's also that.
Speaker AYou got anything to say for yourself?
Speaker BMe?
Speaker AYeah.
Speaker BYeah, I. I hope for your sake that the Internet doesn't come for you.
Speaker BWhy?
Speaker AWhat did I do?
Speaker BWell, I should probably say for my own sake, because technically speaking, they come for me.
Speaker BCome for you on.
Speaker BOn my profile.
Speaker AYeah, exactly.
Speaker BSo it's not like it's.
Speaker BIt's.
Speaker BWe good.
Speaker AWe live.
Speaker BYeah, I think we.
Speaker BI feel like we're live.
Speaker BOh.
Speaker AWelcome back to the number one financial literacy podcast in the world.
Speaker AThis is the higher standard.
Speaker ASitting in front of me is my partner in crime, Christopher Nahibi.
Speaker BHi, partner in crime.
Speaker AHello, sir.
Speaker AI'm partner in time.
Speaker BI know.
Speaker BWell, I guess you are the self proclaimed partner in time, so.
Speaker BI don't work self proclaimed.
Speaker BWow, you just gave it to yourself.
Speaker AGeez.
Speaker AOkay.
Speaker AAnd sitting behind the desk in the production suite, it's Slim himself.
Speaker ARajeel.
Speaker AWhat's up, my guy?
Speaker AHello, everyone.
Speaker AWelcome back, bro.
Speaker AWe missed you.
Speaker AThanks, man.
Speaker AOh, look at this.
Speaker AWe've gone from port wine.
Speaker AFancy.
Speaker AFancy.
Speaker BYeah, gone.
Speaker BGone are the days where we actually, you know, that's the only thing I meant.
Speaker BI miss drinking with you guys.
Speaker BFor the.
Speaker BFor the sake of drinking.
Speaker AFor the.
Speaker AYeah.
Speaker BNot because I actually like, want to drink.
Speaker BRight.
Speaker ACheers.
Speaker AYeah, you're supposed to look somebody in the eye when you give them a cheers.
Speaker BMy apologies to Peter Atia's career.
Speaker BMay he rest in peace.
Speaker AIt's over, son.
Speaker BYeah, it's, it's.
Speaker BCall it a rap.
Speaker BCBS is calling.
Speaker BDon't answer that phone call.
Speaker AIt's over.
Speaker BYou know what that is?
Speaker AOh, did I tell you about the story?
Speaker BWhat story?
Speaker AOh, man.
Speaker ASo in my cul de sac.
Speaker AMy cul de sac, there's like nine houses, right?
Speaker AAnd at the very end of the close, like a house went for sale recently and, and it sold fairly quickly.
Speaker AI was like, oh, I wanna, I wanna meet this guy.
Speaker AAnd it's the same, like, house, like layout, Same plan as my house, right?
Speaker ASo I was like, let me be a gentleman, go over there and be like, hey, man, if you ever have any questions about the house, like, I know a lot because I have the same house.
Speaker ASo I can help you.
Speaker AI let you know, like, where all the piping is.
Speaker BAnd like, so now he knows you're the neighborhood honey pot who shows the.
Speaker APiping, you know, I mean, I'll be showing the pipe, you know what I mean?
Speaker ASo he comes oh, thanks so much.
Speaker ASo where are you moving in from?
Speaker AHe's like, oh, I'm actually just, like, one city over, and we had.
Speaker AWe sold our house.
Speaker AOur kids all moved out, so we went to downsize into a smaller home.
Speaker BI was like, damn, bro.
Speaker AWhy you.
Speaker AHold on, hold on.
Speaker BRelax.
Speaker ARelax with the flex.
Speaker AMy guy, right?
Speaker AI'm over here trying to be a good guy, and I'm like, oh, that sounds.
Speaker AOh, you retired.
Speaker ACongratulations on the retirement.
Speaker AAnd he goes, yeah, I worked in a CPS for about 30 years.
Speaker AAll right, that's cool.
Speaker AGood to know.
Speaker AThank you.
Speaker AThank you, sir.
Speaker AI'll make sure to never raise my voice at my kids in front of you ever.
Speaker AThank you, sir.
Speaker AAppreciate it.
Speaker AIt's a little, like, off putting.
Speaker AI just want.
Speaker AIt was like he was putting me on notice, like, don't do anything to where I might have to make some phone calls.
Speaker ALike, yes, sir, I'll let you interview my kids whenever you want.
Speaker BRegil, did you feel like that story is equally as anticlimactic for you as it was for me?
Speaker AI. I'm just confused.
Speaker ALike, what's going on with CPS here now?
Speaker AYeah, yeah.
Speaker AWell, you.
Speaker AYou brought it up.
Speaker ACps.
Speaker BYou want.
Speaker BYou want to push that chair to.
Speaker BTo the right.
Speaker BI brought what up now?
Speaker BI'm sorry.
Speaker ADid you bring up CPS with Peter atf?
Speaker ACPS gives.
Speaker ANo, I think he said cbs.
Speaker AOh, I thought you said cps.
Speaker AMy bad, my bad.
Speaker BAll right, we're gonna.
Speaker BWe're gonna back this up a little bit.
Speaker BAll right?
Speaker BRejeel, I don't.
Speaker BI'm sorry for all of us that you had to hear that.
Speaker BCbs.
Speaker BPeter, TIA is.
Speaker ANo, no, no.
Speaker ANow I'm putting it together, but I'm saying.
Speaker AI thought I heard you say cps.
Speaker BOh, it's gonna be a long show.
Speaker BIt's gonna be a long show.
Speaker AWell, let's just jump straight into it, guys.
Speaker BYeah, let's just put anything on the screen and change the topic.
Speaker BIs anything.
Speaker BAnything?
Speaker AThere you go.
Speaker BOh, yeah, There you go.
Speaker BSo today we had a lot of volatility in the markets.
Speaker BWe're gonna start a little bit talking about OpenAI AI in general.
Speaker BAnd if you're listening, there's gonna be a common kind of theme, so bear with us.
Speaker BIt's gonna be a little AI heavy in the beginning, and then we're going to get into the housing market.
Speaker BWe're gonna get into wages.
Speaker BWe're into unemployment.
Speaker BWe're gonna do a lot of the sexy talk.
Speaker BBut to start off the show Bloomberg business.
Speaker BA new AI automation tool from Anthropic sparked a $285 billion route in stocks across the softW management sector on Tuesday as investors race to dump shares with even the slightest exposure.
Speaker BAnd I'll tell you that I think this is going to be a reoccurring theme.
Speaker BI don't think this is going to be unique to now at all, as a matter of fact, because what's happening is people are starting to wake up to the realities that these entry level jobs at a lot of these companies are going to be gone.
Speaker BBut that isn't, that isn't where this begins and ends.
Speaker BThat's just the tip of the iceberg, if you will, because the bigger problem is going to be, well, even if they are gone, that also means that you're going to have this growth of technology, this growth of infrastructure, which is going to change the landscape meaningfully.
Speaker BAnd a lot of these companies, I.e.
Speaker Bsoftware development companies, are probably not going to have a whole lot of value to them.
Speaker BWhen someone like you, like me, like Rajeel, can go on and literally recreate an app, I'm going to give somebody listening a little bit of context.
Speaker BI think color here is important.
Speaker BI was watching CNBC earlier today.
Speaker BCorrespondent comes on.
Speaker BShe's talking about this exact same thing she saw in the markets on Tuesday.
Speaker BWe're recording this on Wednesday the 4th.
Speaker BAnd she said she got curious.
Speaker BShe went on to her computer at night because she says, hey, I cover AI stock.
Speaker BI want to know how this works.
Speaker BShe logged in the Claude.
Speaker BShe heard a lot about Claude code and figured that would be a good place to start.
Speaker BAnd she built a personalized version of Monday.com which, if you haven't used it, think of it as like Slack or something like that, but organizational structure that interfaces with her email, her Gmail and her calendar, puts everything together for a view of hers.
Speaker BAnd within one hour, she was already being reminded that she needed to buy a birthday gift for a birthday she was going to attend for her children's friend's birthday over the weekend.
Speaker BAnd she did all this coding with no coding experience, literally in an hour.
Speaker AWow.
Speaker AYeah.
Speaker BAnd she's like, first of all, if I knew anything about coding in general, I probably do three times as fast, number one.
Speaker BNumber two, if I can do this, like, what's the value of software development companies?
Speaker A100% agree.
Speaker AI actually know, know people that don't have much experience in this space and they're using this as like an opportunity to go learn it yeah.
Speaker ATo go vibe code like we talked about on previous episodes.
Speaker AAnd they're literally building out apps and websites for people.
Speaker BYeah.
Speaker BMyself included.
Speaker BYeah.
Speaker ATo help like something as simple as like a basketball trainer.
Speaker ALet me build out an entire website for you.
Speaker ASo some it can, people can see your calendar, what availability you have and you know, just lock in dates.
Speaker AIt's, it's pretty, it's, it's, it's going to be interesting, man.
Speaker AI mean what's happening right now too with I think in the market, what, what we're starting to see is just a.
Speaker AThis is the part that worries me.
Speaker AAt some point, the Max 7, they're all heavily invested in AI.
Speaker BRight.
Speaker AI think B B of A came out recently and noted that last year in 2025, of all the companies that you know were AI focused and if you said that you were investing into AI, then if that stock went up, 80% of all other AI stocks would also in correlation would go up too during that time.
Speaker ARight.
Speaker ASo far this year that's looking like already it's early.
Speaker BRight.
Speaker AIt's early, but now it's looking more like 20%.
Speaker BYeah.
Speaker AAnd what, what people are starting to get a little worried about and I think what the market is saying, what people are starting to get worried about is wait a minute.
Speaker AThe Max 7 all heavily focused in AI.
Speaker ASome of these people will succeed in this race and some of you won't.
Speaker AWhat will happen to those companies that don't and when they don't?
Speaker AThe concentration level is so high for the, for the entire market.
Speaker BRight.
Speaker AThink about the Max 7, I think makes up a third of the entire market.
Speaker AIf only one of those companies doesn't do well or takes a dive, what's going to happen?
Speaker ARight.
Speaker BYeah.
Speaker BAnd I think you're seeing a lot of that already in the markets.
Speaker BI think you're starting to see the volatility of just Nvidia not investing in OpenAI.
Speaker BThe $100 billion they were talking about was a meaningful shift in the market.
Speaker BIt caused in part some of the change that we saw in the landscape.
Speaker BIn Tuesday we saw the market shift very heavily.
Speaker BWe went.
Speaker BAnd then today, even today was volatile.
Speaker BYou had a little bit of a kind of a run on the market.
Speaker BThen at the same time you had this shift back into a tech led growth market from what was a risk off position.
Speaker BSo I think that there's certainly a, a very large susceptibility.
Speaker BThe VIX as we started the show was just under 20, which is kind of getting close to that alert level, our synthetic volatility index was still coming down as in the high 80s.
Speaker BStill, still normal calm market.
Speaker BBut we're in a period of time where I think the volatility is going to creep in because there's just these things that, that cannot be avoided.
Speaker BAnd let me put a smile on say's face early.
Speaker BRajeel, if you pull up the next article we're going to talk a little bit about bitcoin's fall from grace side.
Speaker BTry to contain yourself.
Speaker AI look, I, I don't.
Speaker AI'm not happy with people lose money and that's why I just happy when I was right and you were wrong.
Speaker BThere it is.
Speaker AThat's all that's right for now.
Speaker AI mean it could change but given all the news that has recently come out and we talked about this like pre show a little bit and we won't get into all the details as to why, but I think, I think the listeners know what I'm talking about.
Speaker AWhen I say some of the negative news around this one particular coin, I'm surprised it still is where it is.
Speaker BWell, not to use a bad pun, but we'll touch on that later.
Speaker BNo, no.
Speaker BMichael Burry says bitcoin's fall in price could trigger a death spiral.
Speaker BNow some of this is really grim, but this is from Yahoo Finance.
Speaker BGo to the next page.
Speaker BThere.
Speaker BIt's the arrow on the right of that picture.
Speaker BThere's no up the one above it.
Speaker BYeah, no, no, no, in the middle, in the middle.
Speaker BYou were there.
Speaker BThere you go.
Speaker BTo the right.
Speaker BThere you go.
Speaker ABang.
Speaker BYeah.
Speaker BBitcoin has been exposed as a purely speculative asset and is not near the debasement trade hedge that gold and other precious metals are according to Michael Burry on a substack blog.
Speaker BNow what I'll say number one out the gate sounds a whole lot like Charlie Munger may rest in peace and our boy Warren Buffett, so.
Speaker AWhich we cosign.
Speaker BYeah.
Speaker BBut that being said, I would say that I don't know that gold and other precious metals are a debasement trade because guess what, they took a pretty massive dive the last couple days too.
Speaker BAnd again we've said on the show countless times the only true hedge against inflation is to keep investing.
Speaker BYeah, right.
Speaker BSo.
Speaker BSo I don't know that bitcoin is better because it's not backed by anything or it's speculative.
Speaker BBut let's go to the next page.
Speaker AThe problem with it too, it being as speculative as it is.
Speaker AI mean I've heard people Refer to it as like an amplified tech stock.
Speaker BRight?
Speaker AIt's based, it's really based all around hype and.
Speaker AAnd what?
Speaker AFiat currency, right?
Speaker AHow much, how much do people really believe in if people continue to believe in it?
Speaker AAnd what makes people believe in it?
Speaker AIt's value staying relatively high.
Speaker AAnd here's something that I guess we don't know.
Speaker AI mean, there's so much institutional money now also tied behind it that it makes you think like, man, they could literally control this thing to make it do whatever they want to do.
Speaker BWell, unfortunately for a lot of these ETFs is that they're so levered in some sets of circumstances that the evisceration of so much value from 126,000 ish at bitcoin's peak down to where it's at today, you know, below 75,000, that's a pretty hefty swing.
Speaker BAnd as a result of that, margin calls do happen.
Speaker BSo people will have to liquidate positions to cover that.
Speaker BContinuing on with Michael Burry At $50,000, miners would go bankrupt and be forced to sell their BTC reserves.
Speaker BAs a reminder, we're only.
Speaker BWe're at 73 currently, coming down from 126.
Speaker BTokenized metals futures would collapse into a black hole with no buyer.
Speaker BGo to the next page.
Speaker BIt gets equally as grim as a recurring grim theme here.
Speaker BDeath spiral is defined here as a situation that keeps getting worse and that is likely to end badly with the graduation, great harm or damage being caused.
Speaker BAnd well, that's where we can kind of end this.
Speaker BBut Burry states that if Bitcoin falls on the 10% under $70,000, MSTR will be over $4 billion in the red.
Speaker AOuch.
Speaker BAnd while we're doing that, Google the cash MSTR while you get a chance.
Speaker BI want to explain people what that is.
Speaker BSo basically we're not far from this, but Strategy Inc. Class A.
Speaker BAnd scroll down to the news there, please.
Speaker BPerfect.
Speaker BJust pick anyone you want.
Speaker BThis bullish analyst on Michael Saylor's strategy just threw in the towel on lofty price target.
Speaker BKing Cord's Joseph Vafi slashed his price target in the plunging Bitcoin treasury company stock by more than 60%.
Speaker BSo basically Michael Saylor stuff.
Speaker BAnd it goes to show you that there is some dramatic changes in the works because here's the problem.
Speaker BYou can have stock volatility, you can have cryptocurrency volatility.
Speaker BWhen you have cryptocurrency volatility, that affects institutional investors who got behind it then guess what?
Speaker BEverybody jumps ship when the first institutional investor goes down.
Speaker BRight?
Speaker AThat's the problem.
Speaker BRight.
Speaker AAnd that's, that's the fear, I think.
Speaker AThat's what I think everyone is going to be waiting around for.
Speaker AI mean we've on this show talked about the dot com bubble, right.
Speaker AAnd a lot of people in that space early were investing heavy into the technology.
Speaker BRight.
Speaker ABecause they want to be, they want to be on the front line.
Speaker AThey want to be on the first ones to, to make it big.
Speaker ARight now there's a lot of companies that maybe didn't.
Speaker AAnd then what happens to them?
Speaker AAnd that's what can cause the beginning of a crash.
Speaker ARight.
Speaker ABecause there's all this debt that goes into building these companies out.
Speaker AThat's ultimately what it is.
Speaker AAnd what's going to happen when those companies can't repay those debts.
Speaker BAnd that's effectively what Michael Burry is kind of foreshadowing.
Speaker BI don't know that really.
Speaker BI mean, here's the problem.
Speaker BIf you're me and I'm looking at this from the outside perspective and I'm not super qualified to be making statements on bitcoin, but I'll say 126,000 down to 73,000 ish.
Speaker BThat's a problem, dude.
Speaker AWell, I mean even prior to that though, and this has been my stance the whole time, this is the only reason why I, I have always had wet paper towel hands on this.
Speaker AThere, there were three.
Speaker B71,000.
Speaker BSix.
Speaker B3,550.
Speaker BGood Lord.
Speaker BDown $42,712.70 in the past six months.
Speaker BPrior to this though, which has been in the past two.
Speaker APrior to this though, they, there was three different occasions where it had dropped 90% in value.
Speaker A90% in value, 80% in value, including.
Speaker BOne labeled a crypto winter.
Speaker AYeah, one, exactly.
Speaker ASo that right there in of itself is like, okay, this is not a stable enough, no pun intended.
Speaker ARight.
Speaker AFor me to feel like stable coin.
Speaker BI got it.
Speaker AYou saw what I did there.
Speaker BYeah.
Speaker AFor me to want, like feel comfortable to invest in this long term.
Speaker AAnd now you couple this and everything that you're talking about with the news of Kevin Warsh being the next nomination of the next Fed Chair.
Speaker BRight.
Speaker ALike what, what do you think happens with the market as a whole and crypto as a whole with, with somebody like him going in, you know, taking that seat because he's been very clear on his monetary policy stance, which is actually surprising when you think that who's nominating him.
Speaker ARight.
Speaker BHere's what I'LL say about him.
Speaker BI think he played the hand that was dealt to him to get the nomination that he wanted.
Speaker BHe still has to get confirmed in the House, the Senate.
Speaker BSo it's not like it's, it's a done deal.
Speaker BOkay.
Speaker BBut I think the Lisa Cook litigation is probably more impactful to the overall direction of rates.
Speaker BLet's, I mean, let's, let's go down this path.
Speaker AOkay, so for, and for the listeners out there that don't know Kevin Warsh, right.
Speaker AHe was formerly on, like, he was.
Speaker BFormerly already a head of a president.
Speaker ADuring the 2008 financial crisis, right?
Speaker BYeah.
Speaker BGave a lot of money in a bailout.
Speaker AGave a lot of money.
Speaker AAnd his stance on this is the, the difference in stance between him and Jerome Powell.
Speaker ARight.
Speaker AJerome Powell is like, I'm going to slowly put money into the system and we're going to, you know, slowly bleed this thing out over time versus Kevin Warsh was like, nope, we're going to suffer a crash, a crisis, and then it's our job to come in and save the day.
Speaker ARight.
Speaker ABy, by any means necessary, if you will.
Speaker BRight.
Speaker ABut to let it, but to actually let it play out well.
Speaker BAnd you could argue that's capitalism.
Speaker BRight.
Speaker BIf you stop these events from happening, then you're stopping the natural consequence of capitalism.
Speaker BNow, the counter argument to that from a macroeconomics perspective is government spending really causes inflation, not consumers and wages.
Speaker BAnd there's going to be somebody who listens to this who's like, you know what you're talking about during Alexander Hamilton's era, that the economics books at the time said this, this or that, and that's not true.
Speaker BAnd you know what?
Speaker BI don't care what you learned as far as economic policy goes in school.
Speaker BI can tell you in the real world, practical application, things have changed a whole hell of a lot since these theories came out.
Speaker BThere's an interesting concept, it's not in the show notes, but I read it earlier that the public, I guess feelings sentiment around AI in the United States is lowest amongst most modern developed countries, whereas in China it's the highest, like amongst 90% people.
Speaker BVery optimistic about it.
Speaker AWhy do you think that is?
Speaker BI spent some time thinking about that today.
Speaker BAnd you want the honest answer.
Speaker AI got my answer too.
Speaker AI want to hear yours.
Speaker BThey're communist.
Speaker BThey know the people will be taken care of because that's how communism is.
Speaker BEverybody's supposed to get a piece of the pie.
Speaker BNow there's capitalist, you know, part of that.
Speaker BHave you ever been to Vietnam or you've been to Russia, you've seen communist countries and you've been in them and you've seen kind of what that's like.
Speaker BAnd there are always winners and losers, regardless of, you know, the population.
Speaker BBut in the US as we go towards a society where capitalism no longer needs humans, I. E. The wage earners, to be successful.
Speaker BLet me put it in a different context.
Speaker BIt's a very dark future when you could run a company entirely with bots that you create and entirely in servers that you build with little to no humans in between, and be just as successful as you had the humans.
Speaker BI'm not saying we're there.
Speaker BI'm not saying we're going to get there soon, but I'm saying if that's the future.
Speaker BRight.
Speaker BHey, let's just throw on another layer of complexity here.
Speaker BElon Musk is successful in deploying ChatGPT into robots.
Speaker BRight.
Speaker BYou watched iRobot that, that was cool.
Speaker BLet's do that.
Speaker BWell, now you have an entire labor force to do these things.
Speaker BWhere, where does the human value come in, in work anymore?
Speaker BLike, name a job.
Speaker BAnd I think that you feel humans would be superior at.
Speaker ARight.
Speaker AAnd I think that people are fearful for.
Speaker AWhat does that mean for me?
Speaker BRight.
Speaker AWhat, what, what am I going to do?
Speaker ARight.
Speaker AAnd for you think about there's.
Speaker AI know that.
Speaker AI know.
Speaker AI've read like, stories.
Speaker AI mean, the Wall Street Journal has posted, like, these software developers that have been working at Microsoft for like 30 years.
Speaker BYeah, done, done.
Speaker AWhat do you want them to do?
Speaker AYou're telling them, go back, go back to school and learn something else.
Speaker BYou know, I don't think you can tell them that.
Speaker BI think, I think you tell them that.
Speaker BAnd this is where I get frustrated because people talk about the, the context, like, oh, you know, hey, all these things are happening and, but, you know, it's going to create jobs.
Speaker BWe don't know.
Speaker BAnd it's like, okay, why are we ignoring.
Speaker BI Look at the Internet.com bubble and the bursting of it and the rhetoric around people comparing it to this, to that.
Speaker BI don't think the Internet in any way, shape or form, granted, I have the ability to look backward now retroactively.
Speaker BBut the Internet coming about, I guess you could say it was going to wipe out postman physical mail.
Speaker BNo.
Speaker ABut the conversation around it taking over as many jobs, that was not the conversation, never part of the conversation.
Speaker BIt was going to make things more efficient.
Speaker BYou can do things better.
Speaker BIt was going to create, to communicate.
Speaker ACreate more Millionaires than ever before.
Speaker BRight, yeah.
Speaker BDid.
Speaker BNo, it did.
Speaker BLook at the immense amount of wealth of so many billionaires today that are tied to things like the Google and PayPal mafias and stuff like that.
Speaker BRight.
Speaker BSo you can't deny that Silicon Valley exists largely because of this movement.
Speaker BBut I would say that was not as transformational as this.
Speaker BAnd I think going back in time, I think honestly, if you want something that's very similar, you go look at something like the Industrial Revolution.
Speaker BRight.
Speaker BThe assembly line.
Speaker BThat assembly line structure was put in place for pretty much every single company in manufacturing, which was our biggest value point back then.
Speaker BAnd it changed the landscape.
Speaker BRight.
Speaker BEvery company was more efficient, but you still needed humans to operate it.
Speaker AAnd during a time too, where around the world, their manufacturing plants were completely down.
Speaker BYeah.
Speaker BEverything went from bespoke builds to now we all can build in volume.
Speaker AYeah.
Speaker BWell, now we can all build in volume without humans, 24 hours a day, seven days a week.
Speaker BAnd it becomes a very, very dark paradigm.
Speaker BAnd the sad part about it is, even with our, I guess, hesitation on the idea of adoption of AI, there are some things we have to accept.
Speaker BA lot of people didn't adopt cryptocurrency early.
Speaker BA lot of people who did are billionaires, millionaires today.
Speaker BRight.
Speaker BI'd be remiss to say that apparently Jeffrey Epstein knew the five developers who were working on it.
Speaker BAnd there's a whole lot in the Epstein files, which.
Speaker BThat was the.
Speaker BOut of everything that came out, as disgusting as this might be, that was the most shocking part to me.
Speaker AThat was the most shocking part to you?
Speaker BYeah.
Speaker BBecause I knew he was a sick man and had a sick group of people around him.
Speaker BAnd the people that were associated with it was, you know, they were all going to come out.
Speaker BAnd I knew there were big names there because government spent so much time doing this.
Speaker BI did not expect to see that he had some connection to bitcoin that he.
Speaker BHe allegedly, allegedly knew the five developers who started it.
Speaker BReferenced two of them, the lead developers, by name.
Speaker AYeah.
Speaker BSaid that he had donated to the foundation.
Speaker BThe charity.
Speaker BYeah.
Speaker BMillions of dollars.
Speaker ARight.
Speaker BMillions of dollars, you know, in money to.
Speaker BTo keep it going when they lost their original round through the foundation.
Speaker BSo he had some nexus there, which then I'm sitting here looking at the market, everything that's happening today, and I'm going, why isn't there not a massive sell off?
Speaker BI mean, Jay Z and Beyonce are talking about divorcing, everybody's unfollowing them, but everyone's still comfortable with bitcoin now?
Speaker BYeah, I didn't.
Speaker BAnd I mean the six degrees of Kevin Bacon here are pretty close.
Speaker ADoesn't make, it doesn't make any sense.
Speaker AAnd that's my point.
Speaker AI mean there's so much institutional money tied behind it that I mean you got to think those large positions are going to be held.
Speaker BWell, I don't know if that's good or bad at this point, but because institutional fallout can and likely will happen.
Speaker BLet's go to the Forbes article.
Speaker BBitcoin prices fall below 75000 to reach a fresh 2026 low.
Speaker BIt's going to pull up a little weird on the screen but I have the notes here.
Speaker BI'll read from those.
Speaker BBitcoin prices dropped less 75 000.
Speaker BWe know it's down about 71000 right now on Sunday February 1st, reaching their lowest point since April 2025.
Speaker BAs multiple variables combined fuel losses, the world's most well known cryptocurrency fell to roughly 74,500.
Speaker BWe know it's around 71 now.
Speaker BAccording to Coinbase data from Trading View, at this point it was down more than 40% from its all time high of 126,000.
Speaker BAdditionally, Coinbase figures from TradingView reveal while when asked what caused the what what caused contribute contributed to this latest downward movement, analysts cited a wide range of factors.
Speaker BBitcoin's drop was macro driven, said analyst Joe De Pasquale, specifying that a broad risk off backdrop hit beta assets and BTC can still trade like a levered proxy for liquidity conditions.
Speaker BAnd if that doesn't sound like anything you understand like what the did he just say?
Speaker BOkay, that's exactly the point.
Speaker ARight, right, right.
Speaker BIf somebody is talented as this guy, his best excuse is not this happened, that happened, it's oh, it's these macro factors.
Speaker BThe bigger, you know, everyone's going risk off right now.
Speaker BWhat, what language do you have to speak to cover your ass here and say I don't know?
Speaker BRight.
Speaker AWell, yeah, exactly.
Speaker AWell if, if that's really the case and what, what he's really trying to point to is look, the new, the new Fed chair that's going to be nominated as is come out and said we're going to, we're not going to continue to push liquidity into the markets.
Speaker BRight?
Speaker AAnd that means that's going to be bad for not just bitcoin and crypto but for the market as a whole because there's going to be too much volatility Right.
Speaker ALike what Jerome Powell's been doing is he's trying to avoid a crisis.
Speaker ASo it's little easing.
Speaker AEasing money in every single 40.
Speaker A40 billion a month.
Speaker BWhat?
Speaker AYou said 60 billion a month.
Speaker ARight?
Speaker AThen.
Speaker ANow this, the new Fed chairs.
Speaker AThat's what he's going to do.
Speaker AHe's going to cut off the liquidity.
Speaker ASo who's to blame for that?
Speaker AWho's nominating this guy?
Speaker ANo, we can't put a blame on him.
Speaker ASo we're just going to give you some fancy words to make you a little confused.
Speaker BIt's.
Speaker BIt's a strange.
Speaker BIt's a strange nomination.
Speaker BAnd you can tell it's even strange because the housing pundits, right.
Speaker BAll the guys I follow.
Speaker BSo I'll probably walk this through logically to make it sound a little more normal.
Speaker BA lot of people who love the housing sector, the.
Speaker BThe economic.
Speaker BI am having trouble speaking today.
Speaker BEconomist.
Speaker AEconomist.
Speaker AHello, Economist for lunch today?
Speaker BYeah.
Speaker BI had.
Speaker BOh, God.
Speaker BI went to the social club.
Speaker ADoesn't meet in your mouth.
Speaker AThat's right.
Speaker BYeah.
Speaker BAnd I had a big ass coffee.
Speaker BOh, little pro tip coffee.
Speaker BA big ass coffee.
Speaker AHe stopped.
Speaker AHe stopped at the right.
Speaker BBig ass coffee.
Speaker BSorry.
Speaker BYou see, I can't have conversation with you two anymore.
Speaker BIt's disgusting.
Speaker AThat was intentional.
Speaker BIt was.
Speaker BSo I went to Starbucks today and I got my usual nitro cold brew.
Speaker BOkay?
Speaker BVenti Grande.
Speaker AOkay.
Speaker AI saw a Venti cup.
Speaker BYeah.
Speaker BI put it in.
Speaker BI put it in a Venti cup.
Speaker BBecause what I'm gonna say next, before you get all judgy.
Speaker AAll right, here's that guy.
Speaker BThey have.
Speaker AI want a Grande in a minty cup.
Speaker BYeah, I know.
Speaker BIt gets worse.
Speaker BIt get.
Speaker BIt gets worse.
Speaker BIt wasn't.
Speaker BI didn't know this was a thing.
Speaker BShe recommended it to me, okay?
Speaker BSo calm down, Judgy.
Speaker BI didn't know this.
Speaker BThey have, like flavors of protein foam to add to the top.
Speaker BIt's got like 10 calories in it.
Speaker B15 calories.
Speaker AOh, really?
Speaker BRight.
Speaker ASo the foam is protein.
Speaker BProtein foam.
Speaker BBro, can you have a serious conversation?
Speaker BDon't be that guy.
Speaker BLegitimate, bro.
Speaker BYou're being.
Speaker BI'm not being that guy.
Speaker AYeah, you're being adversely selected, bro.
Speaker ALet's market protein to this guy.
Speaker BLet's make this serious.
Speaker BHey, you walked in.
Speaker BYou walked in.
Speaker AThey're like, I bet you I can sell this guy on some protein right now.
Speaker BNo, I can read, brother.
Speaker BIt was a sign.
Speaker BShe didn't say anything to me.
Speaker AShe didn't need to say anything.
Speaker AHey, hey, hey, meathead, read the side.
Speaker BYeah.
Speaker BDo you have anything that's like phallic shaped?
Speaker BOh, banana flavored.
Speaker BPerfect.
Speaker BSo I got banana flavored protein foam and put it in my nitro cold brew.
Speaker BLet me tell you, it's a cheat code.
Speaker BIt was sensational.
Speaker AOkay, how much, how much grams of protein are you getting from your phone?
Speaker B15.
Speaker AThis is like those Quest chips that we were eating back in the day.
Speaker BYou were eating.
Speaker BI couldn't eat them because it gave me gas.
Speaker AYou, you.
Speaker BHey, at least I'm honest about what it did to bro.
Speaker BYou did.
Speaker BYou.
Speaker BYou know what?
Speaker BAnd everybody who listens to this show, I guarantee you less than 10% are going to be able to say, oh, it didn't bother my stomach at all.
Speaker AYeah, right.
Speaker BEverybody weighed the Quest up has some stomach issues.
Speaker BBut everybody denied it because it tastes.
Speaker AWhen Quest first came out, that was it like, you were like.
Speaker AThat was everything.
Speaker BYeah, it was, it was a pivot.
Speaker AYeah, we're on the puffies now though.
Speaker BYeah, the puffy bars are the game, bro.
Speaker BWe're Jill over there.
Speaker BHe's got a whole puffy gang.
Speaker AOh, yeah, yeah.
Speaker BGang, gang, gang, gang, gang.
Speaker ABite on sale.
Speaker BSo did you say bite on sale?
Speaker AOh, yeah.
Speaker BOr bite.
Speaker AOh, buy it, buy it.
Speaker BLet's see.
Speaker BMaybe you should actually talk into the mic for once.
Speaker AOh, yeah, sorry about that.
Speaker BThere you go.
Speaker APurchase it when it's on discount.
Speaker BYeah.
Speaker BAll right, so we're gonna make a little bit of a pivot here and I promise I'm gonna tie all this together with a nice little beautiful bow.
Speaker BAll right.
Speaker BProtein flavored bow.
Speaker BLet's go to People Matters via Instagram.
Speaker BThis is Oracle planning their biggest layoff in years, bro.
Speaker AYeah, so their bonds right now are getting, are getting traded like junk bonds now.
Speaker BOracle.
Speaker BYeah, yeah, yeah.
Speaker AThey got real problems on their hands.
Speaker BYeah, they have real problems.
Speaker BOracle is reportedly considering cutting up to 30, 000 jobs as US banks pull back from financing its AI driven data center projects.
Speaker BThat's a weird thing in an AI driven economy like that.
Speaker BThis is just weird.
Speaker BThis whole paragraph I'm about to read.
Speaker BIt gets weird, okay.
Speaker BCreating one of the largest potential layoffs in the technology sector in recent years.
Speaker BThe move comes amid rising borrowing costs and mounting capital pressures linked to Oracle's aggressive AI infrastructure expansion.
Speaker BIs this the tip of the.
Speaker BIs this thinking the Titanic?
Speaker BRight?
Speaker BIs this the iceberg?
Speaker BI mean, this seems like a pretty big company having some pretty big problems.
Speaker AI mean, they got, they got some people with money behind them.
Speaker ASo that could come and save the day that could come and help save.
Speaker AThey make sure nothing goes south.
Speaker ABut yeah, this does feel like the tip of the iceberg.
Speaker BOkay, well, let's get into more of it.
Speaker BThe company's infrastructure commitments, estimated at around, oh, $156 billion.
Speaker AYikes.
Speaker BYeah.
Speaker BHave prompted lenders to retreat, forcing Oracle to rethink its business strategies.
Speaker BAnalysts suggest the workforce reduction could be.
Speaker BCould free up 8 to 10 billion dollars in cash, underscoring the financial strain of large scale AI data center investments.
Speaker BThat sounds like a lot of salary.
Speaker BI'm pretty sure ain't one dude in there getting a billion dollars.
Speaker BYeah, so that's a lot of employees.
Speaker BAnd are they going to scale back growth or they see.
Speaker BAnd this is what we keep talking about with AI efficiency.
Speaker BThis is why this stuff matters.
Speaker BAnd I'm going to bring crypto back in the fold here in a little bit, but this is why it matters, right?
Speaker BSo if AI is getting more efficient and Oracle is getting taxed and they got to do some things, they're planning their biggest layoff, they're not planning to slow down their growth.
Speaker BYeah, that wasn't part of the statements.
Speaker ANo, no, yeah, exactly.
Speaker AIt's not, it's not that AI itself doesn't have value anymore, right.
Speaker AIt's companies are looking at how.
Speaker AHow are you.
Speaker AIs there a clear visibility to you revenue growth with your use of AI?
Speaker BHow many years are we going to talk about all the things you can do in the future right?
Speaker BBefore we start talking about what you are doing?
Speaker ARight?
Speaker ALike you look at a company like Amazon, right?
Speaker AIf they're going to continue to dump money into AI.
Speaker B16,000 employees last month, 16 reduced.
Speaker ABut like they have like, what is this AWS, right?
Speaker AAutomated web services where they're dumping money and, and businesses can basically rent the infrastructure, right?
Speaker ALike that's a clear business model where I can see how you can make money off of it.
Speaker AA company like Oracle, I don't know, I don't see the clear path visibility.
Speaker AA company, even a company like Meta, right?
Speaker AI'm like, okay.
Speaker AI mean it's cool.
Speaker AThe glasses, like it's.
Speaker AI mean it's a nice, like I want to have.
Speaker ADo I need to have those glasses?
Speaker ANo, but I mean, I mean what else can you do with your AI?
Speaker BWell, I can tell you update on the bot saga.
Speaker BSo we know last week on the episode that Mobots all got together, formed their own social network.
Speaker BWild, bro, wild.
Speaker BBut in.
Speaker BI'm happy to report that today I read an Article that moltbot has come out and formed their own pornhub.
Speaker BYeah, it's called Molt Hub.
Speaker AWhat's that?
Speaker BI have no idea.
Speaker BI don't know what they're trying.
Speaker BI mean, because obviously it's not pictures of people.
Speaker BYeah.
Speaker BBut they have like their own, like, adult only variant of a site, which is a strange concept when you think about it.
Speaker BI know.
Speaker BBecause we're perverts.
Speaker BEverybody thinks it's a perverted joke.
Speaker BIt's not like this is a real thing.
Speaker AThis is a real thing.
Speaker BAnd I.
Speaker BAnd I saw it, I saw it today and I'm like, do I take the risk of googling this and trying to figure out what it is?
Speaker ASome of those conversations, if you do yourself a favor, if you haven't gone down this rabbit hole and like read into like the conversations that was being had between these bots.
Speaker ALike, some were contemplating on, I think I should start my own religion.
Speaker AYeah, right.
Speaker AOthers were their own fiat currencies.
Speaker ARight.
Speaker ALike, and others, like, you know, basically questioning what's wrong with human.
Speaker AThe human society as a whole.
Speaker BRight.
Speaker AIt's like.
Speaker BAnd some of them were deeply, like, appreciative of humans.
Speaker BYeah.
Speaker BIt was very weird.
Speaker AAnd some of them were questioning, like, are we human?
Speaker ALike, we do we have feelings?
Speaker ALike.
Speaker BAnd I was like, dog, unplug them.
Speaker BUnplug them all now.
Speaker ARight.
Speaker AHit the red.
Speaker AHey, Sam, that little button you got, take it out of the backpack, hit it.
Speaker BAll of a sudden, Zuckerberg's debunker in Hawaii makes a whole lot of sense.
Speaker BYeah.
Speaker BNo one's gonna push the button.
Speaker BThe computers are right.
Speaker BYeah.
Speaker BSo it's a problem.
Speaker BLet's go to the next article for Jill.
Speaker BI got a logical thought process.
Speaker BI want to go down here.
Speaker BI believe this is Ed Eldon.
Speaker BEldon Eldon.
Speaker BYeah.
Speaker BOkay, so this guy, I don't know, I just saw this at 4 o' clock in the morning because I couldn't sleep.
Speaker BSides.
Speaker BGiving him the.
Speaker AThe squid.
Speaker BYeah, whatever.
Speaker BNow maybe I spelled it wrong.
Speaker AI don.
Speaker BThis guy is.
Speaker BI'm not backing him.
Speaker BA lot of this gets dark, but the first couple slides are important, okay?
Speaker BAnd I'm going to point out some things and I'm going to try to be extra descriptive for those driving, working out.
Speaker BOh, look at Reil with the fancy make it bigger on the screen technique.
Speaker AHe's good at making things bigger.
Speaker BGod, those fingers are so beautiful.
Speaker AAnd really good at making things smaller.
Speaker BAnd if you want to make something small, go to join Fridays.
Speaker BDot com.
Speaker BSign up with the code higher for your discount.
Speaker BYou get $100 off your first order, and we will love you that much more.
Speaker BAs a matter of fact, we're willing to throw in an extra picture of my toes and Regil's fingers.
Speaker BFor everybody who signs up today, go to join Fridays.com use code higher.
Speaker AI'll show you my.
Speaker AMy feed and some slides with some socks on.
Speaker BNo, we don't want to put.
Speaker BWe're not putting you out there.
Speaker BYou got hair and everything.
Speaker ANo, the socks, though.
Speaker BUnless.
Speaker BUnless somebody got a fetish for hair.
Speaker AWhich I really want.
Speaker AThose new Nike Mules, but they're sold out everywhere.
Speaker AYou can't get them.
Speaker AThere's.
Speaker AThey.
Speaker BThey sell out with.
Speaker AThey sell out within the first minute.
Speaker BI am currently on the I'm not buying anything train.
Speaker BLike, I'm.
Speaker BI've just.
Speaker BI've decided I'm not buying anything.
Speaker BYeah.
Speaker AReally.
Speaker BUntil further notice, I buy nothing.
Speaker AThe hence why.
Speaker AHence why we're sharing one First Form.
Speaker BEnergy, which is the last of said sponsorship from first form and Andy Frisella and company.
Speaker BYeah, we love you guys.
Speaker BWe would love you more if we got more.
Speaker ASend it to you, boys.
Speaker BWe're not saying that we're for sale, Right?
Speaker BRight.
Speaker BBut we're not saying we're not for sale.
Speaker BYeah.
Speaker BYeah.
Speaker BOkay.
Speaker ASo those look.
Speaker AThose look like Crocs.
Speaker BWhat?
Speaker AThe Mules.
Speaker BThey do look like.
Speaker BSo the problem.
Speaker BThe problem with Saeed is.
Speaker ANo, the new ones.
Speaker BSaeed won't endorse the Mules.
Speaker BHe wants the ones that are supposed to make your feet, like, refresh.
Speaker BYeah.
Speaker AYou know why?
Speaker BYou hate.
Speaker ANo, Go.
Speaker AGo.
Speaker BThey have, like, little dots in the bottom, and they're all cute.
Speaker AIt's that one.
Speaker AIt's.
Speaker AIt's the.
Speaker BTo the right.
Speaker BTo the right.
Speaker ATo the right.
Speaker ARight.
Speaker AOne more.
Speaker BIn my.
Speaker BIn my opinion, these look worse, if I'm being honest.
Speaker ANo, they look really good on feet, bro.
Speaker BThose.
Speaker BThose look like something that.
Speaker BThat Jaden Smith be wearing.
Speaker AWhat?
Speaker BWhy?
Speaker AIs that supposed to be an insult?
Speaker BYeah, why?
Speaker BOh, yeah.
Speaker AHe's a fashion icon.
Speaker BFashion icon.
Speaker BHe looked like he was huffing at the Louboutin fashion show.
Speaker BHe's icon living look he was taking.
Speaker AYou didn't see what I did there.
Speaker BYeah, I know.
Speaker BYeah, I got it.
Speaker BThese are supposed to, I guess, energize your feet and give you some type of magical.
Speaker AFor any listener that wants to buy these and send these to the studio for me, I'm size 11.
Speaker BI. I gotta be honest.
Speaker BThe Only reason s license because he's got a Nike logo on him.
Speaker BThat's it.
Speaker BHe wants to be coached so bad.
Speaker BThis is his athletic version of boat shoes.
Speaker BThat's all this is.
Speaker BOkay, let's just.
Speaker BThat's all this is.
Speaker BLet's call it what it is.
Speaker AThe kid.
Speaker AThe kids think the kids respect you when you come into the gym with some new heat.
Speaker BYeah, that's some new old man heat.
Speaker BSome heat.
Speaker BThey know they can't get these.
Speaker BReill.
Speaker AYou gotta know somebody to get these.
Speaker BWhen we get our first check for Fridays, what we're gonna do is we're gonna buy a pair of those glasses that literally.
Speaker BMagnets in the front that open up in the front and magnet in the front so you can hang them down in front of.
Speaker BYeah.
Speaker BAll right.
Speaker BMore than 1.2 million jobs cut cuts were announced last year.
Speaker BThe highest numbers since the pandemic.
Speaker BUS Annual job cut announcements are on this chart in front of us.
Speaker BAnd there is some very important things that this bar chart does not tell you that I'm gonna tell you.
Speaker BOkay, let's look at 2020.
Speaker BClearly it is the highest amount of job cuts we've ever seen.
Speaker BThat's the pandemic.
Speaker BThat's all known.
Speaker BBut let's remove that from the equation.
Speaker BGo back to 2007, 2008 and 2009.
Speaker BYou saw an increasing trend of job cuts.
Speaker BThis is the height of something that we now all colloquially call the Great Financial crisis.
Speaker BYep, that's how big it was.
Speaker BIt got a name.
Speaker BNo one's calling me the Great Financial Chris.
Speaker BYeah, no one's calling you the Great Financial Saeed, but we call that the Great Financial Crisis.
Speaker BIt was meaningful.
Speaker BWe got a nickname.
Speaker ASomeone argued the greatest.
Speaker BRight.
Speaker BThere you go.
Speaker BAnd it was a housing recession unlike any other housing recession we ever saw.
Speaker BIt had impacts.
Speaker BIt wiped out 401ks synthetic mortgage backed securities.
Speaker BWiped the market out.
Speaker BThey made movies about it.
Speaker BNot one, not two, several.
Speaker BOkay.
Speaker BShout out Topher Grace playing my guy.
Speaker BYeah, right.
Speaker AYou know.
Speaker BYeah, I know.
Speaker BThat being said, Our current 2025 without any economic event, without a nickname, is already at levels we have not experienced since the Great Financial crisis.
Speaker BAnd not the beginning of the Great financial crisis during it.
Speaker BRight.
Speaker BWe are at higher levels of job cuts today than we saw during the height of the great financial crisis.
Speaker AAnd remember, unemployment peaks after a recession is declared over.
Speaker AYeah, they're not even declaring that this is a recession yet.
Speaker BWell, and that's the scary part, is if this is even a recession yet.
Speaker BAnd we're not even there yet.
Speaker BThat means just like in 2007, 2008, 2009, where you saw increasing job cuts year over year, this could be the very beginning.
Speaker BAnd if you look at it in the frame of 2023 and 2024, very similar, but 24 went up.
Speaker B25.
Speaker BIt went up to now great financial crisis like levels.
Speaker BIf 2026 continues on trend like we've seen in similar recessionary economies and you have AI doing what it's doing and you have Bitcoin losing money and people start getting real, real freaked out, I. E. Institutions.
Speaker BYes, Right.
Speaker BYou can see where this could go to ultimate.
Speaker BExcluding 2020.
Speaker BRight.
Speaker BA worldwide pandemic, the highest job cut years in.
Speaker BThis is.
Speaker AI mean, this is damning statistics.
Speaker AWhat I want, I can't wait to see is the jobs report that comes out on Friday.
Speaker BWell, if it's.
Speaker BIf it comes out.
Speaker BThat was a joke.
Speaker AThat was.
Speaker AThat was Ally.
Speaker AYou were supposed to dunk it.
Speaker BI know.
Speaker AAnd you fumbled it in the air.
Speaker BNo, I.
Speaker AIt's not coming out.
Speaker BYou the opportunity to say that it's not coming out.
Speaker AThat's the problem.
Speaker ABecause they know the data is going to be bad.
Speaker AAnd what.
Speaker AAnd if the data is bad on jobs, what is Drone House supposed to do?
Speaker BCall up Jeff Bezos and be like, dog, what you doing?
Speaker AWhat are you doing?
Speaker BYou're hurting all of us now.
Speaker AYou're, You're.
Speaker BYou can't pay these guys a little bit more money for you.
Speaker ACan't wait till June, bro.
Speaker AI'm out of here.
Speaker AI'm here till May.
Speaker AJust lay him off in June.
Speaker AWhat are you doing?
Speaker BYeah.
Speaker BAnyway, so, yeah, this is a problem.
Speaker BAnd why.
Speaker BWhy this is a problem is just beginning.
Speaker BWhat bothers me is this some random dude.
Speaker BEd Elson.
Speaker BNever heard of him before.
Speaker BI have no idea what his political allegiances are.
Speaker ABlue check mark.
Speaker BGot a blue check mark.
Speaker BWe all pay for those these days.
Speaker BWhatever.
Speaker BExcept for say, cheap.
Speaker BToo cheap.
Speaker AYou know, I'm keeping it real, son.
Speaker BYou got a blue check mark.
Speaker AHey, the people that don't have the blue check marks nowadays are the real ones.
Speaker BHey, we'll say it louder for him.
Speaker AYeah, I have a blue check mark.
Speaker BSo I can officially confirm that Regil is not a bot.
Speaker BI know I'm not a bot.
Speaker BYou.
Speaker BWe.
Speaker BThe jury's still out.
Speaker AOh, no.
Speaker BYeah, you could be a bot.
Speaker AYeah, I got my own AI bot running the account.
Speaker BFor all we know, Saeed is Multbot.
Speaker AYeah, yeah, right.
Speaker BSo this is a Problem.
Speaker BAnd I think what's more important here is the Fed is coming out saying things like, we don't know that AI is affecting the job market.
Speaker BIt could create jobs.
Speaker BOkay, what fucking numbers are you looking at, guy?
Speaker BBecause the numbers I'm looking at seem like it's pretty impactful, pretty obvious.
Speaker BRight?
Speaker BLet's go to the next slide.
Speaker BSame, same.
Speaker BSame document here with Jill.
Speaker BIf you could just push the button.
Speaker BOh, yeah.
Speaker BLawmakers assemble, a task force is established, a czar is hired, and finally the grand strategy is revealed.
Speaker BSay, what is that strategy?
Speaker AJust stay put.
Speaker BDo nothing.
Speaker BDo nothing.
Speaker BYeah.
Speaker BThat is where we wound up on this unemployment thing.
Speaker BNot only do nothing, but bury your head in the sand.
Speaker BYeah, yeah, yeah, right.
Speaker BAnd say stuff on nationwide worldwide press conferences.
Speaker BLike, you know, for all we know, the people that we trust to give us the information on things like AI are telling us that as of right now, it's inconsistent, inclusive.
Speaker BIt could very well increase productivity and jobs.
Speaker BAnd we've, you know, historically found a way, right, to.
Speaker BDude, 4.2%, 4.3%, 4.4% unemployment.
Speaker BYou've seen the same headlines we have seen, right?
Speaker BRight.
Speaker BYou guys in theory should have more access than we do.
Speaker BRight.
Speaker BHow are you guys not feeling this way?
Speaker BBut all the rest of us are regil.
Speaker BNext slide.
Speaker BHere we go.
Speaker BWe talked about this earlier in the show.
Speaker BIt is no coincidence that the rest of the world is both dramatically more excited and less nervous about AI than we are.
Speaker BThe US is down in the 40% range, while people, places like South Africa, China, Mexico and Poland are far ahead.
Speaker BAnd China most notably just under 90% China.
Speaker ABut look, I know this is.
Speaker AWell, this is kind of spelling out like doom and gloom, right.
Speaker AFor some people that may feel like, oh, man, maybe I'm in this job that could get replaced by AI, Right?
Speaker AYeah.
Speaker ABut if you feel like that's not you.
Speaker BRight.
Speaker AThis could create good opportunities for you in the future as far as investments go.
Speaker BRight.
Speaker AIf, if companies, if this does, if this.
Speaker ACompanies do take a hit.
Speaker ARight.
Speaker AAnd there.
Speaker AAnd let me say Oracle was the tip of the iceberg.
Speaker BRight.
Speaker AThat means there are going to be buying opportunities for you in the not too distant future.
Speaker B100%.
Speaker BBut I think the context of being real is important.
Speaker BBut there's also kind of a hidden message in this particular chart.
Speaker BAnd we.
Speaker BJill, we're not going to go forward, more forward on this guy's chart because it gets real grim after this.
Speaker BDon't go there again, I don't know this guy.
Speaker BBut he got real negative and real political real quick.
Speaker BBut yeah, that's the point.
Speaker ASo I blame Melbourne.
Speaker BThink about what we did as a country.
Speaker BWe decided that we were going to take the blue collar jobs, the physical labor jobs, manufacturing and offshore it.
Speaker BNow we're trying to bring it back vis a vis from the tariff initiatives which I don't think are going to work because in order for that to work, tariffs have to stay long term.
Speaker BRight.
Speaker BThat's the big delta that I think people in the comments that are hating on, on some of the stuff that we said don't understand.
Speaker BTariffs work if you keep them there long term because you will have to bring business back to the United States.
Speaker BUnfortunately our current executive branch is not doing that.
Speaker BAnd certainly at the levels that he's talking about right now, the prolonged tax on our wages near term would be so catastrophic anyway.
Speaker BHe couldn't, couldn't hold it up.
Speaker BYeah.
Speaker BSo without that being permanently in place, it just works as a near term tax on Americans.
Speaker BBut when you look at the chart, the countries that we outsourced a lot of this work to that were pulled, that is China have a way greater appreciation, optimism for AI.
Speaker BRight.
Speaker BWhile whereas all the countries that do most of the quote, white collar work like the United States have a way more negative impact about AI.
Speaker BWhy do you think that is?
Speaker ABecause it's impacts them differently.
Speaker BIt does.
Speaker BIt impacts everybody differently.
Speaker BWe're going to do a little bit of audio work here with Jill.
Speaker BSo the next couple of links, including the one from I think it was Rise, they have audio components.
Speaker BWe're going to talk about.
Speaker BThe first one's Anthropic CEO if I recall correctly.
Speaker BAnthropic CEO.
Speaker BWe're going to hear from Microsoft CEO in the coming segments here.
Speaker BAnd I think Both of these CEOs have valuable insights given their subject matter expertise in the tech sector.
Speaker BSo you're going to have to move up the orange one.
Speaker BThere you go.
Speaker BIn order to get the audio there.
Speaker BYeah, move it up.
Speaker ALook at you, audio engineer Rejeel.
Speaker AI know I gotta add that to my resume.
Speaker AThere you go.
Speaker BOh, press play.
Speaker BAI could wipe out half of all entry level white collar jobs and spike unemployment to 10 to 20 nerd years.
Speaker BYes.
Speaker BThat is, that's shocking.
Speaker AThat is, that is the future we.
Speaker BCould see if we don't become aware of this problem now.
Speaker BHalf of all entry level white collar jobs.
Speaker AWell, if, if we look at entry level consultants, lawyers, financial professionals, you know, many of kind of the white collar service industries, a lot of what they do, you know, AI models are already quite good at, and without intervention, it's hard to imagine that there won't be.
Speaker BSome significant job impact there.
Speaker AAnd my worry is that it'll be broad and it'll be faster than what we've seen with previous technology.
Speaker BOkay, yeah, that's a problem.
Speaker AHe looked like he was so disgusted.
Speaker BYeah, he looks like he has to go number two.
Speaker BYeah.
Speaker AIt doesn't even sound good when it comes out of your mouth, Anderson.
Speaker BSo Dario Anthropic CEO here, I mean, he runs one of the most prominent models in the market.
Speaker AI mean, it also benefits him.
Speaker BRight.
Speaker BBut if it's in the narrative, and there's, there's certainly people like Citadel, Ken Griffin who disagree with this and say that it's gonna be a much more prolongated rollout.
Speaker BBut the disruption, I think, is universally agreed to.
Speaker BI think the bigger question in the problem that I have is kind of the human element here that's being ignored.
Speaker BLet's just say, hypothetically, they're both right.
Speaker BIt takes a little bit longer to roll out, but it is just as transformative as he's saying.
Speaker BYou know, unless you say it doesn't happen tomorrow, but it happens at some point in the future.
Speaker BLet's just say I think we can all agree that it is going to be transformative on some level.
Speaker BAnd some of these, as a doctor, a general practitioner.
Speaker BYeah.
Speaker BAI will be able to help you facilitate.
Speaker BRight.
Speaker BThey'll have all the metrics from our Apple Watch, everything else.
Speaker BThey're going to know we're sick before we know we're sick.
Speaker AYep.
Speaker BRight.
Speaker BDoctors and lawyers.
Speaker BExample of, a great example of this.
Speaker BLawyers too.
Speaker BUsed to go to school four years for this.
Speaker BIf you, if you're an entry level researcher or you're your first year law person, why do I need you?
Speaker BAI in theory should be able to reason and give me the argument on both sides of the equation better than any human could ever do.
Speaker B100.
Speaker BRight.
Speaker BSo I understand this art versus science and all these lovely little things, but I think AI has proven that it's capable of art.
Speaker BToday alone, the headlines on Higgs field AI being so unbelievably visually impactful is undeniable.
Speaker BSo I asked the question, how do you get experience?
Speaker BNow, if you want to be a doctor or a lawyer, if the entry level jobs are being taken by AI and you need experience or talent to go above and beyond that, how do we train up the next generation of financial white collar workers?
Speaker BRight.
Speaker BDo you think it'd be.
Speaker AIt'd have to be more trade school.
Speaker BI don't know.
Speaker AYeah.
Speaker BIt begs the question of how do we get from here to there?
Speaker BBecause historically speaking, you would have some type of internship or residency, or you would do a couple years where you're not paid a whole lot.
Speaker BBut then, you know.
Speaker BBut yeah, not paid a whole lot used to be economically viable for like a law firm, for example, or if.
Speaker AYou'Re working at a newly formed company, you, you wore multiple hats and you did multiple.
Speaker ANow it's like, why would you do that?
Speaker AAnd people are saying, well, sounds inefficient.
Speaker BFrom a logistics perspective.
Speaker BHow do you make this work?
Speaker BWell, I'll give you a great example.
Speaker BRight.
Speaker BI'm a client.
Speaker BI call in to your law firm.
Speaker BYou record the call.
Speaker BYeah, right.
Speaker BIf you record the call, they're already.
Speaker ADoing this at doctor visits.
Speaker BThat's right.
Speaker BNow you got a transcript of the call.
Speaker BThat transcript is now reviewed by AI.
Speaker BIt's going to listen to the tone of your voice and go, is this person have a tendency for truth and veracity in this conversation?
Speaker BIs there hesitancy?
Speaker BIs there something going on here emotionally?
Speaker BYou can tap into your heart rate via your Apple Watch and your biometrics and say, okay, is this person lying to me?
Speaker BThat's all that really is.
Speaker BRight.
Speaker AOkay.
Speaker BThen you can go even one step further.
Speaker BThey can go out and verify some of the things you say with publicly available data.
Speaker BThey can do a negative news search on you.
Speaker BRight.
Speaker BThey can tap into the, the person working on your car in a personal injury case.
Speaker BThey can do a lot of different things that AI can wrap all the stuff into and give a probability of success on the merits to the insurance company and to you.
Speaker BI mean, this is not all far off technology.
Speaker BAll these technologies are available right now.
Speaker BYeah.
Speaker BNone of this is stuff that we can't do now.
Speaker BSo if that's something that a bot or an AI can do 24 hours a day, that'd be interesting.
Speaker BSeven days a week.
Speaker AI could see, I could see a bot taking in like a customer's information, you know, new client or whatnot.
Speaker ABut like relying on a bot to, I guess, measure the level of honesty given on a phone call, I'd be like, do I really want a bot to be able to judge that?
Speaker BLike, well, let's take this a different.
Speaker BOkay, what is a lie detector test?
Speaker BIt's a person looking at your physiology.
Speaker AThis person's a new client.
Speaker AWhy would I get a lie detector test on a new client?
Speaker BYeah, but you know, here's the thing.
Speaker BIf you have data available to you, why wouldn't you use it?
Speaker BRight?
Speaker BAnd here's what I'll say to you.
Speaker BIf, if, for example, lie detector test is somebody looking at biological responses that you're tapped into, Right.
Speaker BAnd going, okay, is this, is this in line with the person's biological responses for telling the truth or lying?
Speaker BThat's if I'm watering it down.
Speaker BRight.
Speaker BBut that's what a lie detector is.
Speaker BRight.
Speaker BAnd they're not, they're not 100 authentic.
Speaker BThey don't work all the time.
Speaker BThere's a lot of issues with lie detectors.
Speaker BPeople can fool them.
Speaker BRight.
Speaker BBut if you have AI which can look at somebody's biometrics, biomarkers and the sound of their voice and give you a probability of truth and honesty, that's another data point for you as somebody looking at this is, is this a case I want to, what if it.
Speaker AProduces data that only hurts my case?
Speaker AThat only hurts our case.
Speaker AAnd it's like, I don't want, it's.
Speaker BJust a data point.
Speaker BRight.
Speaker BIt's like your FICO score could be terrible because you had a case of fraud.
Speaker BBut that doesn't mean you're a bad credit risk.
Speaker ARight?
Speaker ARight.
Speaker ANo, but if you have, if you have, let's say you have a case of somebody that has an amazing credit history.
Speaker BRight.
Speaker AAnd you find out that they've defaulted on their mortgage once.
Speaker BRight.
Speaker AThat's one extra data point.
Speaker ABut although they've, let's say there's this like six year old person that have had an amazing credit their whole life, but it was, it happens to be back in 2008.
Speaker ABut that one extra data point though now provides you a little bit of hesitant.
Speaker BBut it's you the person making the decision.
Speaker BRight.
Speaker BIs you the person.
Speaker BYou want all the piece of information to make a decision.
Speaker BYeah.
Speaker BRegardless whether it helps or hurts.
Speaker ATrue.
Speaker BYeah.
Speaker BYou want to know as much if it's true.
Speaker AIf it's true.
Speaker BRight.
Speaker BYeah.
Speaker BBut again, truth is also a bit of a spectrum these days, unfortunately.
Speaker BRight.
Speaker BWhether you like it or not, how you biologically respond to something is a truth.
Speaker BNow whether that means something or not is different.
Speaker AYou're also gonna have to rely on it.
Speaker AThat everything that is providing you is.
Speaker BIn fact, it's just a data point.
Speaker ANo, because what if it, what if the data point is wrong?
Speaker ABecause it's clearly spitting out.
Speaker BNo, you're missed it.
Speaker BYou're mistaken.
Speaker BYou're saying that it's coming out Saying honest or not.
Speaker BRight.
Speaker BEven if it says this person's heart rate is highly elevated, which is usually indicative of lying, that just gives you some reason to ask more questions around something.
Speaker BRight.
Speaker BThat doesn't mean you rule somebody out.
Speaker BIt's just a data point.
Speaker BRight?
Speaker ANo.
Speaker BWhy wouldn't you collect more data on every single person?
Speaker AAlways collect if you get as much data as you can.
Speaker AYes, but I'm saying the data that it collects.
Speaker AWhat if the data that it's collecting is incorrect?
Speaker BYou said about anything we do now.
Speaker AYeah.
Speaker AIt's already spitting out incorrect data.
Speaker AYou ask it some basic math problems or ask it to spit out a budget for you.
Speaker AIt's, it's actually.
Speaker BYeah, but this is also a problem for humans now.
Speaker BYeah.
Speaker BSomebody comes in, you misread them, somebody's shooken up because of an accident.
Speaker BBut at the same time you feel like they're lying because they're being dodgy with you.
Speaker BMaybe that's just their way of responding to things.
Speaker BRight.
Speaker BHumans this all the time, we just get pissed off when AI does it because it's supposed to not do it.
Speaker BRight.
Speaker BBut if a human does it, you're like, oh, Timmy fucked up again.
Speaker BYou know, I mean it's, again, it's the expectation of perfection.
Speaker AYeah.
Speaker BI think we're holding AI to an unreasonable standard on some level because you're like, you're a machine, you're supposed to work all the time.
Speaker BYou can't have a reasoning machine.
Speaker BThat's right.
Speaker BAll the time.
Speaker BThat's the whole point.
Speaker BRight.
Speaker AInteresting.
Speaker BYeah.
Speaker BYou want it to be efficient, you want it to be good.
Speaker BBut if it was going to be mechanically accurate every single time, 100 of the time, then it wouldn't have real reasoning, would it?
Speaker BRight, right.
Speaker BOr it's going to have, I mean, it's just a whole different conversation.
Speaker BThere's another one next.
Speaker BRajille, I think that's important is the Microsoft one, I think.
Speaker BLet's see, let's see here.
Speaker BIt's Harris Sy 75 of jobs are about to be about to disappear.
Speaker BThat sounds ominous.
Speaker BYeah.
Speaker BMicrosoft.
Speaker BYeah.
Speaker BYeah.
Speaker BThis guy's head is brilliantly shiny.
Speaker AYeah.
Speaker BYeah.
Speaker ABut I'll give you LinkedIn.
Speaker AWe used to have product managers, we had designers, we had front end engineers and then we had back end engineers.
Speaker AAnd so what we did is we sort of took those first four roles and combined and said that they're all full stack builders.
Speaker BSo this is a real short clip.
Speaker BIt's a great example.
Speaker BRight.
Speaker BLike you've got not Wrong.
Speaker BThis is really prior to the AI rollout, but you originally had people who did different parts of building something and now you combine those all into one job and you say, we have a Full Stack Designer.
Speaker BYou build everything A to Z, right?
Speaker BAnd now you go, hey, Full Stack designer guy, what's up?
Speaker BNow we only need.
Speaker BPlease close this.
Speaker BOh my God.
Speaker BI want to know what that is.
Speaker BThat's not going to make the final show.
Speaker AYour algorithm, man.
Speaker BMy algorithm?
Speaker BI don't think so, Katrina.
Speaker BIt's regill@highstandard.com in any event, I think the next level up is we're going to say, okay, we don't need a Full Stack developer, we just need a guy to manage the AI who's building these Full Stack developers.
Speaker BSo now all the Full Stack developers are going to lose their job.
Speaker BAnd this is an example of why you're not seeing jobs go, okay, we're going to lay off all of our developers.
Speaker BIt's going to be a subtle wind down to a manager managing all this product end result, and then that manager getting, you know, one more and more tasks and roles assigned to them.
Speaker BAnd then guess what?
Speaker BThen at some point you place in the AI to manage the group.
Speaker BRight, Right.
Speaker BI mean, that's where you go.
Speaker BYeah.
Speaker AIt's interesting, right, because you got this whole, this whole like, push now for return back to office.
Speaker AWhy?
Speaker AFor the collaboration.
Speaker BRight.
Speaker ABut now there's going to be less people collaborating.
Speaker AIt's just going to be like one guy managing all these buses.
Speaker ALike this is all going to be my decision.
Speaker AI'm going to decide what I, what I do with this.
Speaker BThere's also the rhetoric here too, where people are saying the only reason they want people to come back is they know that if they force them to come back, they'll get jobs somewhere else.
Speaker BSo instead of laying people off, we're effectively forcing them to resign because we're adding back in the incremental cost as well.
Speaker BRight.
Speaker BIt's not just the inconvenience of going to work, it's the inconvenience of childcare, travel time in the car.
Speaker BI mean, it's all these things kind of like aggregate together for most people to go.
Speaker BIt's just not economically viable for me to go back to work.
Speaker ARight, exactly.
Speaker BSo it's a problem.
Speaker AIt's a big problem.
Speaker BYeah.
Speaker BLooking over there.
Speaker BYou okay?
Speaker BYeah, yeah, yeah.
Speaker BNo.
Speaker AI thought Rajeel was supposed to pull up the next clip.
Speaker BI thought the algorithm was shaking you up a little bit.
Speaker BThe next one is A Scott Besant comment.
Speaker BThis one.
Speaker BActually, you know what, we don't have to play this one because I, I looked at it a little bit later.
Speaker BBasically it's Scott Besant and somebody else in, in, I think it's the House or the Senate talking about AI and it's clear that neither one of them know anything about what they're talking about.
Speaker BThey're like, is it possible AI can do this?
Speaker BAnd he's like, ah, you know, I think it's a few.
Speaker BAnd it's like AI is already doing the stuff they're talking about.
Speaker BRight, right.
Speaker BAnd it was so wild to me that people who are in positions of authority, who are making the legislature right.
Speaker BAre so materially agenda connected.
Speaker BIt is basically about credit decisioning with AI.
Speaker BAnd I'm like, bro, I have been, I have been on calls with people using technology.
Speaker BNow that is Wells Fargo, where you call them.
Speaker BThey are doing all the credit decisioning upfront with AI already.
Speaker BYeah, yeah.
Speaker BThey used to offshore a lot of stuff like reviewing financials to India and somebody would go over there and do it.
Speaker BAll of this is AI now, right?
Speaker BAll of it is.
Speaker BAnd if you're like, oh my God, what if AI makes a credit decision?
Speaker BLike, how do you.
Speaker BHuman component.
Speaker BI'm like, bro, like, what world are you living in, guy?
Speaker BYeah, like this is now.
Speaker ASo we're already here.
Speaker BWhat are you talking about?
Speaker BIs your abacus in the back?
Speaker AYeah, yeah, yeah.
Speaker BIt's strange.
Speaker BSo.
Speaker BBut for the purposes of the show, I think there's more important stuff to get to now.
Speaker BWe're going to tie all this together.
Speaker BOkay.
Speaker BWashington Post, baby.
Speaker BWhy?
Speaker ANobody really knows the scale of the U.S. housing crisis.
Speaker BYeah.
Speaker AExperts say the U.S. needs an additional 2 million to 20 million homes to fix the shortfall, underscoring the challenge of meeting the nation's housing needs.
Speaker BYeah.
Speaker AHow are you going to do that when the home builders are slowly rolling it out and they're not going to want to put themselves in a bad position with their capital?
Speaker AHow are you going to do that?
Speaker BYeah.
Speaker BYou're not.
Speaker BAnd as a matter of fact, I think you should read.
Speaker BEverybody should read this article.
Speaker BOkay.
Speaker BBut the, the, I started to say earlier and I think now is a better time for it.
Speaker BThe housing pundits out there really don't like Wash because their solution to the affordability crisis has always been lower rates.
Speaker AThe next Fed chair nomination.
Speaker BYeah.
Speaker BAnd WASH is not a guy who seemingly favors lower rates.
Speaker ARight.
Speaker BSo they were, they were all upside down going like, I would never In a million years.
Speaker BTake that guy.
Speaker AIt's so interesting, right?
Speaker AIt's like a, it's like he, he's, he's labeled himself all these years as we got to let the crisis happen and then we'll come save the day.
Speaker ABut the guy nominating him is like, nah, man, you're going to cut rates.
Speaker ALike that's what you're going to do.
Speaker BIt's weird.
Speaker AIt's weird.
Speaker AIt's going to be interesting to see how does he, does he stay true to his word or does he flip it?
Speaker BYou know, I don't know, but scroll down a little bit here.
Speaker BRight there, Perfect.
Speaker BLet's see here.
Speaker BBut over at Goldman Sachs, analysts put the number at 3 million.
Speaker BZillow's estimate tops 4 million, while Bookings projects 5 million, and McKinsey says 8 million.
Speaker BMeanwhile, congressional Republicans insist the shortfall is closer to 20 million homes.
Speaker AJeez.
Speaker BAs a guy who looks at housing affordability and the influx of real estate in the market, I can tell you that I don't think any of these are right.
Speaker BReally.
Speaker BI don't think there is a housing shortage.
Speaker BAnd I think there's a material disconnect in what a housing shortage means.
Speaker AThere you go.
Speaker BSo let's scroll down a little bit here.
Speaker BThere's a portion of this where they talk about people who disagree.
Speaker BVacancy rates in missing households.
Speaker BNo, scroll down.
Speaker BCharts interesting, but scroll down.
Speaker BNo, no, keep going, keep going.
Speaker BIt's got a headline to it.
Speaker BEnvisioning a little more.
Speaker BA little more per cap of spending.
Speaker BNo, come back.
Speaker BStop, stop, stop, stop, stop, stop.
Speaker BMaybe there's no shortage at all.
Speaker BMy favorite title.
Speaker BNow, I do think everybody should, everybody should go to this article and they should read it.
Speaker BThere's definitely arguments on both sides, but Irving Planning professors Kirk McClure and Alex Schwartz examined 900 US metropolitan areas and found that only 19 had added more population than housing since 2000.
Speaker BThat's an interesting tidbit of information.
Speaker AI think a relevant piece of information if you're discussing shortfall in housing.
Speaker BYeah.
Speaker BBefore the 2008 recession, they argued, developers built far too many homes, leaving room for under building in some years since.
Speaker BAnd they don't want to put themselves in the same position where they have all their capital tied up in properties they cannot sell.
Speaker ARight.
Speaker BSo they just built less.
Speaker BMoving on.
Speaker BYes, we have a shortage of units in the low income price points, but not overall, McClure said.
Speaker BHe contends it would be far less costly for the government to help poor households rent or buy existing units than to build new ones.
Speaker BAnd as a reminder, it is cheaper now to buy a new unit than it is to buy an existing unit for the first time in American history.
Speaker BRight.
Speaker AEspecially with all the incentives that they're offering.
Speaker BThat's right, best.
Speaker BThe best housing program right now would be an increase in the minimum wage.
Speaker AI mean, come on, man.
Speaker AI mean, how much to, to, to help people buy a home?
Speaker AYeah, Okay.
Speaker AI, I think, I think that's not going to cut it, man.
Speaker AWho are we kidding?
Speaker BOkay, well, Lynn, anticipating this conversation, I prepared some off the dome numbers for you.
Speaker AOff the, You've prepared the off the dome numbers?
Speaker AThat's right.
Speaker BOkay, I'm going to rub the microphone pole while I say this to you.
Speaker BYou ready?
Speaker BI need you to look at me while I'm doing this.
Speaker AI'll pull it up.
Speaker AStats too.
Speaker BNumber one.
Speaker BOkay.
Speaker BCurrent interest rates are on the 30 year mortgage for Jill.
Speaker BIf you could do me a favor, go to any website you want, look up current 30 year mortgage.
Speaker BI think it's somewhere between 6 and 7% high sixes.
Speaker BFair mid sixes is somewhere in there.
Speaker BThat is still low relative the historical average about high sevens.
Speaker B8%.
Speaker BRight.
Speaker ASound like true Boomer?
Speaker BYeah, that's hurtful, but yes, I, I think that that's a fair statement.
Speaker BWe know that the biggest impact to affordability is going to be the down, dropping down of interest rates.
Speaker BYou want to read that for me?
Speaker ASo you can't see that far as of February 4, 2026, 30 year fixed mortgage rates are hovering between 5 and a half and 6 and a half for top tier credit with national averages for purchase loans around 6.1 to 6.15%.
Speaker BOkay.
Speaker BA little lower than I thought, but still.
Speaker BOkay, great, great example.
Speaker BSo super low relative to historical, I would say numbers of 7, 8% on average.
Speaker BOkay, so you're still below that in order to get housing affordability by moving one of the three metrics to affordable again by our affordability standards anyway, you'd have to be somewhere in the neighborhood about 2.5% ish on a mortgage rate.
Speaker AYeah, right.
Speaker BI don't think that's realistic and I don't think you're going to get the Treasury's respond that way.
Speaker BEven if you were to cut the fed funds rate to near zero for a prolonged period of time, again happen.
Speaker BRight.
Speaker BSo interest rates alone, as much as they would move the needle if you moved it down by 1%, are not going to solve this problem.
Speaker BAnd we are going to talk about the Proportion of homeowners who have rates in these regions in just a few minutes.
Speaker BBut if you were to drop home prices about 30, 35%, you would wind up, again being affordable, even if interest rates held where they are today.
Speaker AAnd how.
Speaker ABut how are you going to do that?
Speaker AYou'd have to cause.
Speaker BHow are you going to do.
Speaker BYou'd have.
Speaker AYou'd have to cause something to collapse.
Speaker BAnd it would have to be a market crash because it'd be a Correction north of 20%.
Speaker BNow, you could have one of these two factors change at the same time.
Speaker BYou have our interest rates come down.
Speaker BYou could have housing prices.
Speaker AWell, if something crashes like that, interest rates will come down.
Speaker BBut again, those two things tend to work opposite one another.
Speaker BInterest rates come down, pushing home prices back up.
Speaker BUnless there's some reason why people just don't want to buy because of fear.
Speaker BRight.
Speaker AWell, if something crashes, you would have to assume that people lost jobs, too.
Speaker ASo I don't know if there'd be, like, upward pressure on prices again.
Speaker BSo approximately how much of a wage increase do you think the median wage earner would need if you didn't move the needle on either one of those and they stayed static in this environment?
Speaker AThat's a very good question that I would love to know the answer to.
Speaker B58% salary.
Speaker AI was going to say like 60.
Speaker A65.
Speaker BYeah.
Speaker BThat tells me disproportionately people are underpaid.
Speaker BPeople are underpaid.
Speaker BAnd given all that we talked about in AI, do you see a world where they're going to get paid more in the near future?
Speaker ANo.
Speaker BOkay.
Speaker AWhy would you.
Speaker BRight.
Speaker BAnd because a lot of people tried to supplement their income with investing in things that were more speculative.
Speaker BHence why we started the show with bitcoin and cryptocurrency.
Speaker BWe now know that their speculative investments have lost over 40% of their value in just a couple of months.
Speaker BRight.
Speaker BSo now you've got a 60% on average underpaid American employee.
Speaker BAverage employee who lost whatever speculative money they had.
Speaker AYeah.
Speaker AI mean, think about the.
Speaker AThese are people, and some of those people are, look, I can't get into a home right now, so let me just invest it instead.
Speaker BThat's right.
Speaker BThey find themselves in a desperation position now.
Speaker BThey can all get side hustles, which we've always advocated for on the show.
Speaker BBut you're coming from a place of urgency and weakness, which is never a good start.
Speaker BI don't see housing getting better.
Speaker BAnd, Jill, there's a chart I think, coming up here.
Speaker BNext we'll.
Speaker BWe'll forego the rest of this.
Speaker BI think it's the mortgage rates from CNBC1 there.
Speaker BAnd this is going to give us that spread.
Speaker BAnd you're going to have to do your magic fingers.
Speaker BMake the chart bigger again.
Speaker BYeah, so, yeah, there you go.
Speaker BMake it big.
Speaker BOh, yeah.
Speaker BSo pretty.
Speaker BAll right.
Speaker BSurprising share of homeowners have high mortgage rates.
Speaker BHere's a breakdown.
Speaker BWe're going to forego the high mortgage rates conversation.
Speaker BGo to the next next little.
Speaker BThere you go.
Speaker BYeah.
Speaker BAll right.
Speaker BThis chart made the rounds on social medias today.
Speaker BThe webs share of active US Mortgages by rate.
Speaker BNow, I want everybody to keep in mind, we're going to read the numbers here, but only 60% of the homes in the country have mortgages on them.
Speaker BSo this is only 60 of the properties in the country.
Speaker ARight.
Speaker ABecause 40% of them are owned free and clear.
Speaker BFree and clear.
Speaker BRight.
Speaker BBall so hard.
Speaker BMaybe one day, 21.9% of mortgages currently outstanding have a balance less than having, I'm sorry, a interest rate below 3%.
Speaker AIs that you, Chris?
Speaker BThat is me.
Speaker B2.71%.
Speaker AYeah, me too.
Speaker BYeah.
Speaker A2.99.
Speaker ABarely made it, Brian.
Speaker BYeah, 3 to 4%.
Speaker BThat's 29.6% of the demographic and 4 to 5%, 16.1% of the demographic.
Speaker BNow again, this is over 60% already.
Speaker BYeah, that is still at 5%, at least 8.1% below where mortgage rates are today.
Speaker BSo even if you want to stir up the environment, right.
Speaker BAnd you want to get some activity going, you got to get it.
Speaker AYou have to get it there.
Speaker BYou have to get below 5% or at least close.
Speaker BNo, I think you got to get below because everything else as you go up 5 to 6%, 11%, 6, 7%, 14%, 7, 8%, 5.2% of the population.
Speaker BSo yeah, there's not a lot left up there at the top.
Speaker BSo yeah, while there is a good chunk of Americans at 6 to 7%, 14.7% have 6 to 7% mortgage rates.
Speaker BRight.
Speaker BYou wouldn't refinance right now.
Speaker BIt's only a thin sliver at 7 to 8%.
Speaker BOnly 5.2% of the 60 of homes that have mortgages are in that category.
Speaker AYou know, that refinance market is completely dried up for a lot of these lenders.
Speaker BIt has.
Speaker BBut you know what market has not?
Speaker BHELOCs.
Speaker BHELOCs lines of credit.
Speaker BSecond trustee lines of credit where you could keep the interest rate in your first year.
Speaker BThose HELOC Markets and they're fast, man.
Speaker BThese guys that are doing loans right now, all they do are lines of credits.
Speaker AYeah.
Speaker BThey get them approved in days, not weeks.
Speaker AThat's based off the Wall Street Journal prime, right?
Speaker BYeah.
Speaker BYeah.
Speaker BSo it's, it's got index plus margin.
Speaker BBut as these things correct and they can get pretty ugly.
Speaker BSo of course the natural logical thing to think of is as.
Speaker BWell, it feels like the world's stacked against us.
Speaker BChris, what are you getting at?
Speaker AYeah, what should I do?
Speaker AChris, what should I do?
Speaker AShould I invest?
Speaker AShould I look to buy?
Speaker AWhat should I do?
Speaker BNext article, please.
Speaker BRachel.
Speaker BYeah.
Speaker BThis is also a 4:00am read for me.
Speaker BAnd you know me, 4:00 clock in the morning, I see.
Speaker BOoh, more Americans have side hustles than ever before.
Speaker BLet's read that.
Speaker ASide hustles.
Speaker AYeah, it's frowned upon by some people.
Speaker BYou going slow over there today, bro?
Speaker BThe.
Speaker AThe link wasn't working.
Speaker BDon't blame it on the link.
Speaker BDon't blame it on the link.
Speaker BForbes high inside hustle, baby.
Speaker ALet's go.
Speaker AHow to get in on the action.
Speaker AI want to get in on some action.
Speaker BYeah.
Speaker BNow we're not going to read this to give you, get you in on the action and tell you the tips.
Speaker BYou can read this article on your own.
Speaker AWe talk about on the show all the time.
Speaker AIt's not just about your nine to five.
Speaker AIt's about your five to nine.
Speaker BYeah, but there are some data points in here.
Speaker BScroll down a little bit.
Speaker BRejeel, I'm gonna let your boy Saeed read this so we can get his real world reaction.
Speaker BAnd right there, that paragraph right underneath the hats that said.
Speaker AWow.
Speaker BHold on, before we go here.
Speaker BThis is your fault.
Speaker BYour fucking cowboy hat.
Speaker BThis is in my feed now.
Speaker BThis comes up all the time.
Speaker BYour damn LA Dodgers cowboy hat.
Speaker BThis is constantly in my feed.
Speaker BThis is, this is, this is your fault.
Speaker BThis is my bad.
Speaker BSo, honey, the thing that came up on Instagram before is because of Saeed, search history of my stuff.
Speaker AOh, you put that.
Speaker AShut up.
Speaker BYou put that on Michi.
Speaker AWhile 41 of side giggers make $5,000 or less in these businesses and another 32% make $20,000 or less.
Speaker AEmergent research found that 7 to 8% earn a hundred thousand dollars or more.
Speaker AThey tend to be concentrated in particular niches.
Speaker AProfessional services and the creator economy are two of the most lucrative.
Speaker BKing says, all right, so I'm gonna forego the odds.
Speaker AIs that like a nickname?
Speaker BKing.
Speaker BKing says Jill, what's up, King?
Speaker BNo, that's his actual last name.
Speaker BDo you favor.
Speaker BRead the first sentence and pause after you get to each percentage.
Speaker AOkay.
Speaker AWhile 41.
Speaker B41.
Speaker BOkay.
Speaker B41.
Speaker AEverybody of side giggers make $5,000.
Speaker B$5,000.
Speaker B41.
Speaker B$5,000.
Speaker BYeah.
Speaker BGo ahead.
Speaker AOr lessen these businesses.
Speaker AAnother 32% make $20,000 or less.
Speaker B41 plus 32.
Speaker AYeah.
Speaker B73% make somewhere below $20,000 or less.
Speaker AYeah.
Speaker BOkay.
Speaker BAnd 73.
Speaker BStop right there.
Speaker BYeah, stop right there.
Speaker BIf you're the American employer.
Speaker BYeah.
Speaker BAnd you're giving your employee for side hustles for $20,000 or less a year, there's an easy solution.
Speaker APretty easy.
Speaker AOkay, look, can I ask you a question?
Speaker AChris, you said.
Speaker BNow, hold on, hold on.
Speaker BBefore we go there, you said to me, raising wages, a small amount wouldn't.
Speaker BWouldn't be meaningful.
Speaker ANo, hold on.
Speaker ANo, no, not all wages.
Speaker ARaising the minimum wage.
Speaker AMinimum wage is different.
Speaker ARight?
Speaker BYes, but look how hard people are working for an extra $20,000 or less a year.
Speaker AI agree.
Speaker BI, I answer the question.
Speaker AAre corporate profits at all time highs?
Speaker B16, baby.
Speaker BAll time high.
Speaker AThey are at all time highs.
Speaker BOh, so y.
Speaker ATell me I'm making money.
Speaker BYeah.
Speaker AOh, but you can't afford to give me.
Speaker AOh, okay, okay, I got it.
Speaker ANo, I got it.
Speaker AI thought we were homies.
Speaker BI got a fiduciary duty.
Speaker BMy homie, the shareholder, right?
Speaker BYeah.
Speaker AWhat's up with your.
Speaker AI'm not the homie.
Speaker BSee, this.
Speaker BThis is the perpetual problem with the stock market and our capitalist society as it is structured.
Speaker BIf we as investors in the stock market expect the companies that we invest into to have increasing profits quarter after quarter, year after year.
Speaker AYeah.
Speaker BAt some point in time, you're headed for heartbreak, Right?
Speaker APart of the problem, man.
Speaker BAnd I don't want to spoil this for unmarried people, but if you expect the sex with your wife to get better and better month after month, year after year, I'm going to tell you, there's going to be some peaks and they're going to be some valleys.
Speaker BOkay?
Speaker BOkay.
Speaker BAnd that's not to knock anybody's wife or anybody's sex life.
Speaker BIt's not always great.
Speaker AOkay.
Speaker BOkay.
Speaker BIf you expect the weather to always be sunny in Southern California, you're in for a surprise.
Speaker BWhen you get that rainy day, that windy day.
Speaker BNothing in life moves up at that cadence other than home prices.
Speaker AFlowers need water to grow.
Speaker AThey need rain.
Speaker AJoy wouldn't feel so good if it wasn't for pain.
Speaker AShout out.
Speaker A50.
Speaker BI thought you was going for EPMD on that one, but.
Speaker BOkay.
Speaker AI've said that line on the show before, though.
Speaker BYeah, you can do that, though.
Speaker BWhy?
Speaker AWhy?
Speaker AHe's our favorite troll.
Speaker BCan we pause?
Speaker AHe's our.
Speaker BHe's my favorite troll.
Speaker BNo, our.
Speaker AHe's the higher standards.
Speaker AFavorite troll.
Speaker BHey, man, but can.
Speaker BCan we be honest about some things, though?
Speaker BHe been right a long time.
Speaker AHe's been right about a lot of things.
Speaker BYeah, we got to get the.
Speaker BThe.
Speaker BThe.
Speaker BNot the inverse Kramer, but the positive 50.
Speaker BYeah.
Speaker BPoly market needs to get him on.
Speaker BYeah, he's just killing it.
Speaker A50S predictions and.
Speaker BCan we.
Speaker BCan we just pause here?
Speaker BThe Poly Market thing.
Speaker BWe use them on the live show a lot.
Speaker BI watch the ticker all day long.
Speaker BI'm.
Speaker BI'm very plugged into Poly Market.
Speaker BRight.
Speaker BThis is going to be a problem.
Speaker BWhat is polymarket and Kalshi.
Speaker BIt's a problem.
Speaker AYeah.
Speaker BWe've.
Speaker BNow, here's what we did, okay?
Speaker BWe're like, how do we make gambling legal in every single state in the country?
Speaker AIt's not just that.
Speaker BAnd you can gamble on anything on Coinbase.
Speaker AThey're on their wallet.
Speaker AThey have their own now that you can do it on.
Speaker BYeah.
Speaker AYeah, bro.
Speaker BCNBC has.
Speaker BKalshee is like one of their program partners.
Speaker APeople are addicted to it, bro.
Speaker BIt's.
Speaker BIt's great.
Speaker BYeah.
Speaker BIt's sensational.
Speaker AIt's like, wait a minute.
Speaker AWhy are we just stopping at sports gambling?
Speaker AWhy don't we just make it everything?
Speaker BYeah.
Speaker BY' all want to bet on Jerome Powell losing his job?
Speaker AWe got you.
Speaker AYeah.
Speaker BYou want to bet on what the president says in his next meeting?
Speaker BSure.
Speaker BYou want to bet on whether the speech is going to be the same or how many words are going to be changed in the next FOMC speech.
Speaker BWe got you.
Speaker AAnd if a large sum of money comes in the day before and makes a large bet going the other way and that person hits, that's okay, too.
Speaker AAnd then you have nothing you can do about it.
Speaker BAnd I love the interview.
Speaker BThe interview, I think it was a Kalshee CEO.
Speaker BHe goes, you know, they're like, what do you think about insider trading?
Speaker BHe goes, I love it.
Speaker BAnd he goes, what?
Speaker BThe interviewer is like, standing, goes, look, it's a real prediction of the market.
Speaker AI love it.
Speaker BAnd if somebody makes a big bet, you can assume that they probably know something or think very strong.
Speaker BI'm like, this is.
Speaker BThis is.
Speaker BThis is the wild, wild west, right?
Speaker ASo they're able to track.
Speaker AYou're able to see a Big bet come through on these.
Speaker BYeah.
Speaker AI've never gone in and made a bet on any of these, so I don't know.
Speaker ASo everyone who bets will be notified.
Speaker AOr is it you?
Speaker BNo, you can.
Speaker BYou can go search.
Speaker BYou can't.
Speaker BYou're notified.
Speaker BBut you can.
Speaker BYou can dig down and do the research.
Speaker AYeah, you have to stay plugged in.
Speaker BYeah.
Speaker AOh, man.
Speaker BNo, it's.
Speaker BIt's a dirty game, bro.
Speaker ASo.
Speaker AYeah, I know.
Speaker AMy.
Speaker AMy wife always asked me, you know, so much about basketball.
Speaker ALike, why haven't you never thought about that?
Speaker ABecause I'm like, that's a dirty game.
Speaker AI'm not.
Speaker ADo you see all these guys again?
Speaker ABusted.
Speaker AYou go.
Speaker AGo do yourself a favor and just YouTube, like, you know some of the plays for some of these guys getting busted.
Speaker AIt's so obvious.
Speaker BI know your wife.
Speaker BYou lose one game, you can be out of this country like Jay on the Gulf Stream.
Speaker BYeah, right.
Speaker BCall the 750 up.
Speaker BWe out of here, boys.
Speaker AThat's it.
Speaker AI lost.
Speaker BYeah.
Speaker BGame over.
Speaker BSo.
Speaker BSo we place the bets now on the Jay Z Beyonce divorce.
Speaker BAre we gonna wait a little while?
Speaker BThat.
Speaker BThat's 100.
Speaker AThe photos.
Speaker AThe photos are bad, bro.
Speaker BWhat photos?
Speaker AI mean, he was with her when she was 16.
Speaker AWe can't talk about.
Speaker BOh, the.
Speaker BAaliyah.
Speaker BYeah, yeah.
Speaker BAaliyah, 15.
Speaker BBeyonce, 16, I think.
Speaker BYeah.
Speaker BYeah.
Speaker AThat's bad, man.
Speaker AIt's all bad.
Speaker AIt's all bad, bad.
Speaker BWell, here's the problem, though, is.
Speaker BBut again, I've always, like, been like, yo, like, R. Kelly, Jay Z, aaliyah.
Speaker BShe was 15, bro.
Speaker BYeah, man.
Speaker BLike, then that whole period of time, like, all this.
Speaker BI mean, even back then, I was like, why is nobody, like, upset about this?
Speaker BI mean, I have three sisters, you know?
Speaker BI'm like, look at this.
Speaker BGoing, like, right?
Speaker BAnd this is in the.
Speaker BIn the spotlight in front of people for so long.
Speaker ADisturbing, man.
Speaker BAnd I'm like, never mind the fact he's not attractive.
Speaker BIt's just, you know.
Speaker AYeah.
Speaker ANo, I mean, yeah.
Speaker ABut, yeah, it makes you brilliant lyricist.
Speaker AI can't.
Speaker AMy entire feed is just all this, all of it.
Speaker BOkay.
Speaker AI can't get away from it.
Speaker BYeah.
Speaker BAnd it's.
Speaker AAnd it's so much.
Speaker ASo much is coming at once where you're like, I can't even stop to fact check each one.
Speaker BYeah.
Speaker BI don't.
Speaker BI don't even do that anymore.
Speaker BYeah.
Speaker BThe sad part is I'm seeing, like, pictures of emails.
Speaker BI'm like, yeah, it looks real.
Speaker AAnd that sounds like that would have happened.
Speaker BYeah.
Speaker BAnd then you're like, okay, let.
Speaker BLet's just.
Speaker BLet's just have the conversation.
Speaker BOkay?
Speaker BLet's just.
Speaker BWe're all consenting grown adults.
Speaker BRejeel, cover your years.
Speaker BBaby years.
Speaker BRight?
Speaker BWe know that there's.
Speaker BThere's corruption.
Speaker BI'm not blind to it, but this is.
Speaker AThis is a different level, bro.
Speaker BBut this is only the level they put out.
Speaker BCan you imagine what didn't make the cut?
Speaker BSomebody was like, no, there's some stuff.
Speaker AThat I want to talk to you about after the show that I saw where I was like, I can't even begin to fathom.
Speaker BYou want to do it on the show?
Speaker BNo.
Speaker ANo, we can't.
Speaker AWe can't even touch it on the show.
Speaker BIt's bad.
Speaker BReally?
Speaker AIt's all bad.
Speaker BYeah.
Speaker AI wish we could maybe.
Speaker AMaybe behind a paywall one day, but.
Speaker BYeah.
Speaker BAnd then someone will leak that video.
Speaker BYeah.
Speaker AI'm sure it's something that you haven't seen already, but I don't know.
Speaker AI don't know what to make of this.
Speaker AThis world, man.
Speaker AIt makes, like.
Speaker AI just.
Speaker AI see that, and then, like, it.
Speaker AYou know, it makes me.
Speaker AYou know what it makes me want to do?
Speaker AOkay.
Speaker AIt's like, it makes me feel very helpless.
Speaker AFirst of all, first and foremost, right?
Speaker AIt's like I. I think we had a conversation about this the other day.
Speaker AIt's like you feel like you're playing a game and you're down 30 at halftime, and you're like, you still got to come out and play the game, bro.
Speaker AThere's nothing you can do.
Speaker AThere's nothing you do.
Speaker BYeah.
Speaker AYou can't walk out of the game.
Speaker ACome out and play.
Speaker ASuit up, tie your shoes, get on the floor and go play.
Speaker AYou gotta play.
Speaker BLet me give some context here, and I'm gonna.
Speaker BI'm gonna say it.
Speaker BSo Saeed is not endorsing any of this.
Speaker BThat's just me.
Speaker BI don't like the.
Speaker BIn the Matrix out of the Matrix bro culture, but it is a sensationally great example for the world that we live in.
Speaker AYeah.
Speaker BWe are in the Matrix.
Speaker BAnd not because we're in somebody's plugged in warped reality.
Speaker BAs much as the game has been rigged against all of us.
Speaker BIf you're not independently wealthy, whether that's legacy wealth or wealth acquired during your lifetime or you've made it out, you are a nation of workers who works for the wealthy people.
Speaker BThey don't want you to have social media where you're a risk for their company.
Speaker BSo they want your profiles to be private.
Speaker BWhat about freedom of speech, bro?
Speaker BWhat about those things?
Speaker BOh, it's a bad look for the company.
Speaker BYou can get a job anywhere.
Speaker BWell, it doesn't feel very free to me, okay?
Speaker BAnd then you start going down the rabbit hole and you say, okay, wait a minute.
Speaker BI'm paid just enough to survive, but I'm not paid enough to get rich, Right?
Speaker BAnd then you think, what if I speak out on things?
Speaker BYou go, well, HR is not there to protect me.
Speaker BThere to protect the company who protects me.
Speaker BGo file a whistleblower complaint.
Speaker BLet me know how that works out for you.
Speaker BYou.
Speaker BHR protects the company.
Speaker BThey don't protect you.
Speaker BGovernment protects government.
Speaker BThey don't protect you.
Speaker BYou think your popular vote matters for the president?
Speaker BIt doesn't.
Speaker BHasn't mattered in a very, very, very long time.
Speaker BThe electoral college does that.
Speaker BYou're either part of the elites or you're not.
Speaker BAnd if you're not part of the elites and you happen to make money and you're out of the ecosystem where they don't control you financially through corporate America, you know what happens?
Speaker BThey fucking kill you.
Speaker BOkay?
Speaker BThat's the harsh reality.
Speaker BNobody wants to hear that, because everybody wants to deny that, because nobody wants to live in the world where that's true.
Speaker BBut you learn, okay?
Speaker BYou made it out.
Speaker BYou keep your mouth shut.
Speaker BBecause there are other penalties worse than financial penalties that they can do.
Speaker BAnd guess what?
Speaker BYou think the legal system's a fair system?
Speaker BIt's not.
Speaker BIt's supposed to be.
Speaker BBut a lot of times, and I'm a licensed attorney, a lot of times, the guy with the most money wins because the other people can't afford to play the game.
Speaker BThat's not justice.
Speaker BThat's not justice at all.
Speaker AThat's just being big stack at a poker game.
Speaker BAnd if you think that the same rules apply to very wealthy, connected people, I'm telling you, they don't.
Speaker BThat's just reality.
Speaker BThese guys selling you on, bro.
Speaker BCulture and all that stuff and making money and breaking free, that's.
Speaker BThat's a context to appeal to sensationalism.
Speaker BBut this game has gone back to the formation of this country.
Speaker BWe built the United States on the ideology that we were leaving oppression from kings and queens just so people could come over here and be unlabeled kings and queens of industry.
Speaker BThe Rothschilds, the Vanderbilts, they wanted a nation of workers.
Speaker BThe White House gave it to them.
Speaker BIt's no secret that we were put in these positions and we were controlled by the same money.
Speaker BThe same money that pays everybody else.
Speaker AYeah.
Speaker BThese things that happen in the financial system, the fear of working a 9 to 5.
Speaker BI see stats like this, and it frustrates me to no end because I know that's only the people that are willing to report anonymously.
Speaker BAnd even them, a lot of people won't do it.
Speaker BRight.
Speaker BWe know 60% of the Internet's fake.
Speaker BThe dead Internet theory is real.
Speaker BAnd yet we all want to hold on to the ideology that we're talking to real people because God help us if we're not.
Speaker BAnd someone else is trying to control the narrative.
Speaker BI'll tell you right now, everyone else is trying to control the narrative, bro.
Speaker AAnd it.
Speaker AYeah, it's so interwoven.
Speaker AWe won't.
Speaker AWe won't call out any names.
Speaker ABut you, you and I, you and I have seen it firsthand and it's like they're all plugged in.
Speaker AThey're all connected to each other.
Speaker BYeah.
Speaker BRight.
Speaker AAnd a trusted source, right, that they're gonna find they're gonna be so interwoven and so connected to all the trusted sources out there that one of your.
Speaker AOne of these trusted sources will tap into you.
Speaker AAnd that's it.
Speaker AThat's all it takes.
Speaker BAnd why doesn't somebody who's free and independent assistant, makes a ton of money, I. E. Like an Andy Frisella, speak out?
Speaker BWell, Andy does speak out.
Speaker BHe's rare.
Speaker BBut he also knows there's limits.
Speaker BHe's plugged into a circuit of people, right.
Speaker BAnd he's got to watch and watch what he says and how he moves.
Speaker BYou'll see.
Speaker BLook at his posts.
Speaker ARightfully so, though.
Speaker ANo, that's.
Speaker AThat's the.
Speaker ARight, that's the smart thing.
Speaker BBecause at some point in time, you're risking more than just your wealth.
Speaker BYou're risking your family and people around you.
Speaker AYeah.
Speaker BAnd then people understand, like, oh, if they're out of the system and they don't have any constraints, why aren't they speaking up?
Speaker BBecause all this can be taken away and just.
Speaker AAnd, and, and it's not a knock, right?
Speaker AYou have to think.
Speaker AAnd I'm not, I'm not.
Speaker AI don't want to speak out of turn, but for somebody, if I was in a position like that, right.
Speaker AHow many people are relying on me, too?
Speaker BYeah.
Speaker BRight.
Speaker AHow many people do I employ?
Speaker AHow many people are relying on me to keep this thing moving?
Speaker BAnd let me just ask a question that's point blank.
Speaker BAnd it's a bit of a hard.
Speaker BA hard tilt.
Speaker BHere, but I think it's a valid one.
Speaker BAnd it.
Speaker BSean Diddy Combs went to jail.
Speaker BHe's a bad person.
Speaker BOkay?
Speaker BThere's a lot of Jay Z photos with that man at a lot of parties.
Speaker BOkay?
Speaker BI don't be the guy.
Speaker BWhy is he escaped 50.
Speaker BBeen calling this dude out for a long time.
Speaker BRight?
Speaker BThis guy admittedly was a drug dealer before he started in the rap game.
Speaker AWait, hold on, hold on.
Speaker ABut we know.
Speaker AWe know of all the documents that have recently come out.
Speaker AThings have been redacted, Right?
Speaker BOkay.
Speaker AThe names have been redacted for us.
Speaker AThere hasn't been another single arrest since.
Speaker BNo.
Speaker AWhat are we.
Speaker AWhat are we doing?
Speaker AWhat are we doing?
Speaker AWhat's going on?
Speaker AI don't understand.
Speaker AI need an explanation.
Speaker BYou're not gonna get one.
Speaker AIt's wild.
Speaker ASo back to what I was saying is in initially makes me feel very helpless, and it just makes me want to unplug completely and just say, I just want to focus on my family.
Speaker ABecause it feels like.
Speaker AIt feels like I'm down 30, and I want to look at the coach and be like, yo, man, sub me out.
Speaker AI want to sit down, let somebody else get in here.
Speaker BYeah.
Speaker BYou know, people DM me all the time saying, oh, you know, I. I was asked today to speak at a kids thing by a friend of our family, and she's like, you know, it'd be really cool for you to go there and talk to him and tell them about, like, all this.
Speaker BAnd I'm like, why would I.
Speaker BWhy would I do that?
Speaker BI mean, I would love to help you, but I'm a failure.
Speaker ANo, you're not.
Speaker ACome on.
Speaker BBy all outward measures, I have not freed myself from this ecosystem yet.
Speaker BI do.
Speaker BWell, don't get me wrong.
Speaker BOh, right.
Speaker ABut, I mean, if that's your measure, if that's your barometer, what other barometer do you have?
Speaker BI mean, the sad part is I had tens of millions of dollars taken away from me more than once.
Speaker AI mean, to make.
Speaker ATo continue to maintain the lifestyle that you currently live, Right?
Speaker BYeah, that's fine.
Speaker BWho wants to maintain?
Speaker BThat's not humanity.
Speaker ARight?
Speaker BWe all want to grow.
Speaker BWe just get stuck in accepting other things, and then we demonize.
Speaker BOh, you're being greedy.
Speaker BOh, you're.
Speaker BYou're fat.
Speaker BYou're totally focusing the money.
Speaker BOh, that's greed.
Speaker BOh, that's a sin.
Speaker BAnd it's like, dude, all that, okay, it's not.
Speaker BIt's not about me being sinful.
Speaker BThe whole point of humanity is to Improve.
Speaker BLet me go straight.
Speaker AAnd to help each other, we're all.
Speaker BGoing to work out every day.
Speaker BWe're all going to look younger than we did, you know, 20, 30 years ago at the same age.
Speaker BWe're all going to try our best to be the best human we can be.
Speaker BBut it's wrong for me to want more money in that process.
Speaker ANo, it's definitely not wrong.
Speaker ABut it's also not.
Speaker AIt's not the whole and only point of humanity.
Speaker BThe point of humanity is to grow and build things, man.
Speaker BAnd no, we can't grow and build ourself.
Speaker BRight.
Speaker BYeah.
Speaker BI want to leave legacy as defined under the law really meant children.
Speaker BRight.
Speaker BThe legacy we leave our children should be meaningful.
Speaker BThey should start off better because we were able to succeed.
Speaker ARight.
Speaker BNot live and spend everything we got before we die.
Speaker BYeah.
Speaker BLike something went wrong.
Speaker BRight.
Speaker BRich, wealthy people leave a legacy of assets to their kids who have a different quality of life because they, they did that.
Speaker AThat.
Speaker BYeah.
Speaker BRight.
Speaker BIn generations of their family are okay, I. E. Generational wealth.
Speaker BBut 90 of America ain't that.
Speaker BWhy is that?
Speaker BYeah, because we need those people to be complicit workers.
Speaker BAnd frankly, by that measure, because I'm a failure.
Speaker ABecause the system works more effectively if they don't.
Speaker BRight.
Speaker AThat's it.
Speaker BAnd that's where you look at these things and like, people are like, oh my God, they talk to the kids and I'm like, I'll talk to the kids and I'll tell them all the cool things that, that, that it sounds cool that I've done.
Speaker BYeah.
Speaker BBut the fact of the matter is, you know, you, you look at.
Speaker BIf the barometer for success is money, okay, fine.
Speaker BI do.
Speaker BOkay.
Speaker AYeah.
Speaker BIf the barometer for success is title, I don't care.
Speaker BRight.
Speaker BIf the barometer for success is freedom and lack of fear, I am failing because I'm still tapped in.
Speaker AThe lack of fear, I think.
Speaker AYeah, there's always gonna.
Speaker AYeah, it's gonna be tough.
Speaker AI feel like as humans, though, naturally in our, in our DNA, we're built to always have some form of fear over something.
Speaker BRight.
Speaker BMaybe.
Speaker BRight.
Speaker AYou're always, you're being.
Speaker AGo back to hunter gatherer days and you're being told that, you know, there's, there's something over there.
Speaker ADon't go over there.
Speaker BRight.
Speaker AAnd there's just natural born fear built into us.
Speaker BRight.
Speaker ABut for me, I think the barometer is, is happiness.
Speaker AAnd I was just having this conversation with my kids the other night.
Speaker AI had, I was reminding them I had a really nice conversation with an old friend and.
Speaker AAnd I had this epiphany.
Speaker AI'm like, I need to.
Speaker AI need to share this with my kids now.
Speaker AI feel like it's a good age.
Speaker AI'm like, happiness isn't a destination.
Speaker ABut for me, that's the barometer of success is happiness.
Speaker ARight.
Speaker AAnd it's not a destination.
Speaker AI was telling him.
Speaker AI was like, it's not a destination you can get to.
Speaker ARight.
Speaker ABut it's brief moments that come.
Speaker BRight.
Speaker AAnd I come.
Speaker AYou come in and out of it constantly.
Speaker BRight.
Speaker AAnd for me, I tend to have those brief moments when I'm with them, when I'm experiencing things with them, with my family, with my close friends, doing things like this.
Speaker BRight.
Speaker AThe podcast, just sharing good memories and building something with friends and family.
Speaker BRight.
Speaker AAnd that's something that I, for me, that's my barometer.
Speaker BRight.
Speaker AHow many times can I tap into that.
Speaker BRight.
Speaker AAnd find that this little bit of happiness that doesn't require a whole lot of money.
Speaker BRight.
Speaker BOkay, but.
Speaker BAnd I, I agree with all.
Speaker BI'm not knocking any of that.
Speaker BBut let me flip this argument on its head in a bad way.
Speaker BHow wrong on a baser human level is it that you have to search for those happiness in moments when if you didn't have to worry about the money in the living.
Speaker BYeah.
Speaker BAnd the providing, like you knew you.
Speaker BYou had those things on lock 100 of the time.
Speaker AYeah.
Speaker BOh, it make it no paradigm shift.
Speaker BThat would be.
Speaker AYeah, but that's only because I know what I know now.
Speaker AIf I was just born with it.
Speaker BRight.
Speaker AAnd it was handed to me and given to me, like from a legacy, you know, standpoint, it was just passed on.
Speaker AI feel like that happiness is going to be a lot harder to find because I don't know, I don't think you even know what happiness, what even brings you happiness at that point.
Speaker BOkay, maybe.
Speaker BAnd I've seen a lot of wealthy kids that have, like, messed up stories and everybody's got different measures of trauma.
Speaker ABecause we need struggle.
Speaker AWe need struggle as humans, we need struggle.
Speaker BI get that.
Speaker BBut at the same time, how many Americans struggle a lot?
Speaker AToo many.
Speaker BHow many humans across the world struggle and never get out of the struggle?
Speaker AYeah.
Speaker BThey spend their life starting in struggle.
Speaker BThey end their life starting in struggle.
Speaker BAnd there might be peaks and valleys and moments of happiness they find in between because they got to have that hit of dopamine to keep them going in between.
Speaker AYeah.
Speaker BBut look at someone like a Joe Rogan you think he's worried about money every day?
Speaker ANo, no, no, no.
Speaker AHe is a rare exception, though.
Speaker BHe is a rare.
Speaker BBut why?
Speaker BWhy have we done that to ourselves?
Speaker BIf I ran a small shop in a small town, and that was capitalism when this country started and somebody was wealthy 10 towns over, more than I was, but I knew that my shop was going to perform if I went there every single day and I worked, I.
Speaker BAnd I could provide.
Speaker BRight.
Speaker BLike, that level of comfort is enough, where people don't have to fear and they can just be happy.
Speaker BI like what I do.
Speaker BI love my family.
Speaker BI'm good.
Speaker AYeah.
Speaker ABut mofos out there are greedy.
Speaker AThere's some greedy mofos out there.
Speaker AWe had this conversation, or I was explaining to Ruja before the show about last season of Beast Games where they had a million dollars out there and, you know, 10 people had a chance to go out one by one, take, you know, their share.
Speaker ABut if you want to take more, you could.
Speaker ACould a second person took more than they could.
Speaker AThird person took it all.
Speaker BYeah.
Speaker ALeft Nothing for numbers 4 through 10, you know, and you're like, I mean, that's just greed.
Speaker AThat.
Speaker AThat's people.
Speaker AAnd some of that could be just because they know it's like, better me than somebody else.
Speaker BRight.
Speaker ASo I don't know.
Speaker AI don't know, man.
Speaker AI don't know what to make of it all.
Speaker ABut I do know that we need struggle.
Speaker AAnd the message that I was trying to give to my kids is, you know, find happiness.
Speaker AYou have to work hard and you can earn it.
Speaker ABut they got.
Speaker AWe got to find a way to get them to pass something on to them so that it makes their job a little bit easier.
Speaker BMaybe the best thing you can pass on all of them is what we're trying to do in the show.
Speaker AYeah.
Speaker BMaybe it's the fact that they shouldn't be complicit.
Speaker BIt.
Speaker BMaybe they should challenge the narrative and that there is a world coming up in the coming years that will change normal for all of us, and maybe that will provide opportunities, maybe it won't.
Speaker BBut if I could pass one thing on to my son as a piece of wealth, always second guess what you hear and you see and you read.
Speaker BYeah.
Speaker BBecause a lot of things that we take for facts, whether that's me going through law school, realizing that I was a banker for over two decades, and I don't think I was ever really that good at it.
Speaker BI'm good with numbers.
Speaker BI don't think I ever really fit the mold.
Speaker BAnd I think I got demonized because I was different, because I didn't fit the mold the way they wanted me to.
Speaker BAnd I'm still good at it.
Speaker BI still do what I do.
Speaker BBut I think the reality is that so much of what we do and so much of what we expect from other people comes from a narrative that lasted way before we got there.
Speaker BAnd we hold people to that same standard instead of a higher one.
Speaker AInstead of banger closeout at the 128 mark.
Speaker BLook at you.
Speaker BGood, bro.
Speaker AThat was.
Speaker BDo this.
Speaker BYou do this.
Speaker BI've been here for a minute, dude.
Speaker AHe does this.
Speaker BDone this show a couple times.
Speaker AGo to thspod.com.
Speaker Aget your merch, get your merch.
Speaker AGet your merch.
Speaker BOh, and we are in the middle of a weipo claim, World Intellectual Property Organization, which should be by the time you hear this on Friday, we should hear the results of it.
Speaker BBut we have a dispute about the usage of a URL.
Speaker BThe higher standard dot com.
Speaker AYeah, hopefully we get that and we can get a proper website built out for everybody.
Speaker AListen, if you like the show, we know we always tell you, hit the like button.
Speaker ALeave us a comment, leave us a review.
Speaker AWe'll read it on the show.
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Speaker ARefer this to a friend, to a family member.
Speaker ALet's get this show growing.
Speaker ASupport.
Speaker AIndependent media.
Speaker ALet's get it.
Speaker BWe are independent media.
Speaker ALet's get it.
Speaker BYeah.
Speaker BAll right.
Speaker BYou want to take us out those beautiful baby fingers of yours?
Speaker AAll right, goodbye, guys.
Speaker ACome on, man.
Speaker BThree, two, one.
Speaker BGood night, everybody.
Speaker BWe should have coordinated that better.