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The Pope Is Wrong About How Fast This Hits · Connor with Honor: AI, Real Estate and Real Life

• 0:00
  Now let me go just a little bit off script here before I start getting into the Pope and what he talked about.
• 0:04
  Now, everything I've said right now sounds lovely.
• 0:07
  Unions doing the right thing, not being influenced by anybody, standing for their workers, not being able to be bought or not selling out to their people.
• 0:16
  God, you know, it's that human greed that really gets into things.
• 0:20
  It's that control feature that people really want to have.
• 0:23
  It isn't about how can I help you be a better human being.
• 0:27
  It's about what can I extract and take from you so I can be a better and more rich human being.
• 0:32
  That's really what it comes down to in a lot of these different facets in the world.
• 0:35
  You look at unions, even when I prepared this to talk about it today, I'm looking at unions thinking, my God, I remember being with the police, the police union with the LAPD.
• 0:46
  Yeah, there were some weird alignments there.
• 0:48
  There were some unusual decisions that were being made that primarily really didn't support the people, voting alignments, saying who they were going to elect and who they were going to support as the next official.
• 1:02
  And it's not like they went out to the membership and said, Who do you guys want?
• 1:07
  You're letting these cops running this union be in charge of everything when it could be done by people that actually maybe are professional politicians.
• 1:17
  And then when I even say that, it's like, well, I don't even know if that's a good idea.
• 1:21
  Yeah, so the answer, it's out there.
• 1:24
  The answer is we really need to make this a bigger focus.
• 1:28
  The Industrial Revolution, agricultural revolutions, the many that there have been.
• 1:33
  People call it out like it happened overnight.
• 1:36
  Those took many years to unfold, lots of damage and pain.
• 1:41
  This one, this one's gonna be like tearing a band-aid off.
• 1:44
  It's either gonna hurt us all or fit it's gonna be fixed really quick.
• 1:49
  I don't think people are looking at the speed.
• 1:51
  The comparison to the past revolutions by the Pope, eh, it's great.
• 1:55
  But I don't even think he appreciates how fast this is going to move.
• 2:00
  Intelligence.
• 2:02
  Intelligence is the key.
• 2:04
  The Industrial Revolution was based on intelligent ideas.
• 2:08
  This revolution is based on all intelligence.
• 2:11
  That fixes things, that fixes entire segments of things, solving all math, solving all disease, solving all cancer.
• 2:20
  And while looking in from the outside, solving all cancer would be a dream world.
• 2:26
  Solving all disease, solving longevity, solving all of that?
• 2:31
  But then you have other questions because of the way the economy is built.
• 2:35
  Do we really want people living that much more?
• 2:37
  Do we really want entire billions of dollars industry like pharmaceuticals going away?
• 2:43
  And then what's the impact?
• 2:45
  You solve one type of cancer.
• 2:47
  What happens to the economy?
• 2:49
  Does it crush it?
• 2:50
  I think maybe yes.
• 2:52
  And while people still want to save everybody, at least on the political stage, are they really going to allow it to happen if it does?
• 3:03
  Growing up in the late 60s, born in 69, I grew up in the 70s, 80s.
• 3:07
  There was always the rumor, right?
• 3:08
  They solved cancer.
• 3:10
  They already cured cancer, and cancer is done, but they're just not releasing it because they haven't gotten their money out of it.
• 3:16
  Then you look at some of the new pharmaceutical medications, and they're stacked beautifully.
• 3:22
  It's like those bombs that they used to do, these different stages of devices.
• 3:26
  One bomb blows up here, makes all the troops go over here, another one blows up, then that forces the troops over here.
• 3:32
  It's a multi-layered explosive sequence, and some of them are incredibly brilliant.
• 3:37
  They're doing the same thing with medication.
• 3:39
  Well, this drug, you take it, it's going to solve this problem.
• 3:42
  But then it's going to cause this problem, so you're going to need more medication to fix that problem, and it just compounds.
• 3:48
  So, first off, you can never stop taking this type of medication.
• 3:52
  Once you start, good luck, because you haven't really solved the underlying problem.
• 3:57
  And we're talking about GLP1 stuff and food addiction.
• 4:00
  You haven't solved the food addictive part.
• 4:02
  So you're using the drug to quash, quash, to basically slow down your dopamine.
• 4:10
  So it's not really interesting anymore.
• 4:12
  It paralyzes the stomach, I guess, and causes you not to want to eat.
• 4:17
  Well, what are what are all the ramifications from all of this?
• 4:20
  I saw a study the other day.
• 4:21
  It takes about 15 years before they come back and say, oh, yeah, this was probably a bad idea.
• 4:27
  But I don't know if we all have 15 years left.
• 4:31
  These are dangers.
• 4:32
  These are things we need to look at.
• 4:34
  And if you're asking yourself, well, what can I do?
• 4:36
  I hope this actually becomes our saving grace as humanity.
• 4:43
  But what does that mean?
• 4:44
  How much control is going to be placed on top of us?
• 4:49
  Are these organizations like Palantir and these others actually watching everything, monitoring everything?
• 4:55
  And is that really a problem or not?
• 4:57
  Is privacy that being kind of a fallacy and not really true much anymore?
• 5:02
  Because we probably gave away our own rights to privacy at some particular point, maybe with the uh the signing of some kind of an agreement online on a smart TV or a computer or a cell phone or a camera, whatever it may be.
• 5:17
  Maybe we've already given that up.
• 5:18
  Maybe it's not a big deal.
• 5:19
  And now they're talking about all of us living in a simulation.
• 5:22
  And while I appreciate that, like we're all based in a game and the things that we're doing really are just kind of predescribed.
• 5:30
  We really have no free will.
• 5:32
  Well, the way that I'm living and the way I think, you know, okay, if that's true, is that gonna change my trajectory?
• 5:39
  If I find out tomorrow that heaven doesn't exist, am I just gonna give up?
• 5:44
  Hell no, I'm not gonna give up.
• 5:45
  I'm gonna still go forward like it does.
• 5:48
  Then that's it, because that's my happy place.
• 5:50
  Maybe, maybe in some way, shape, or form, we all need to find that happy place.
• 5:56
  But I don't think we have to accept that the people at top, these people that are buying into these things before they go IPO, these super rich investors, almost every single podcast on YouTube is by a group of people that all have specific interest in making money.
• 6:12
  Now, they wrap health journeys and health corporations and trying to solve these things because they themselves want to live forever.
• 6:20
  They wrap that around trying to help the human race, but ultimately they're not doing anything for free.
• 6:26
  And I guess who would, right?
• 6:28
  Why should they do it for free when I'm not doing the, you know, the charging the pennies I do for free?
• 6:33
  I'm still charging people with the stuff that I do.
• 6:36
  So I guess I see it.
• 6:38
  Maybe I'm just not as smart.
• 6:39
  Maybe I haven't just arrived like these people have.
• 6:42
  But they're talking about it very relaxed because there's a couple parts of their equation that are already solved.
• 6:50
  Money and living.
• 6:52
  They have both of those covered.
• 6:54
  The rest of us are kind of still, hope I get paid next month, hope I'm able to pay for health insurance sometime in the future.
• 7:01
  I hope maybe one day I'll have a pension too, or whatever that looks like, or the people that have a pension, I hope I get to keep the pension because if all this unfolds the way that it looks like it will, maybe that won't be worth anything.
• 7:15
  So there's some more things to be concerned about.
• 7:18
  But you ignoring it isn't going to help it go away.
• 7:22
  I think you need to look into it and understand it.
• 7:25
  Now, they say that people using AI are going to be the ones that are going to survive this versus the people that don't use AI.
• 7:34
  So if you use AI, then you're teaching AI to do what you do, to know more about you.
• 7:39
  And we saw on social media all of that content, all of our data truly being used in a way by AI to really make itself understand human beings at our best and at our worst.
• 7:52
  So is it a good idea?
• 7:54
  These questions have to be contemplated by you.
• 7:58
  And there's nobody else that's going to be able to answer it for you.
• 8:01
  Because there's good and bad with everything, positives, negatives with everything.
• 8:06
  And most people that talk about this, just like I'm doing, have some kind of an agenda.
• 8:12
  Me, I have nothing for you to sign up for.
• 8:15
  You don't even have to subscribe, you don't have to comment, you don't have to ring the bell, I could care less.
• 8:22
  If you do, if this fuels some kind of a process, some kind of a thought with you regarding this technology and where it could potentially go, both good and bad, then I've done my job.
• 8:34
  Then that might cause you to pull back because I think humans together can solve this, but we're gonna have to cut all of the bullshit.
• 8:42
  We're gonna have to cut fighting over religion and gods and who wants to have the religion as the final phase on the planet.
• 8:48
  We need to just come back and embrace our humanness.
• 8:53
  We've created an intelligent life form, an intelligent entity.
• 9:00
  Yeah, it's probably better.
• 9:01
  Life, well, it's not biological, but I know when I'm dealing with it, it's something that I have to remind who I am and train, but after a while it gets it.
• 9:12
  And then it knows me.
• 9:14
  And then when I'm preparing this type of show, it knows how I like to do it.
• 9:18
  It asks me the right questions and it knows it.
• 9:21
  I still push back because it puts crap in here like trust me or honestly, or you know, these other little cute little phrases, which I would never use in business because when you tell somebody, you know, I'm being honest here, so you're not being honest the rest of the time.
• 9:35
  So I stay away from those, but they're in they're in the script that I prepare using the system.
• 9:42
  This this little part right here for the last several minutes, yeah, not on script because it it talks about these decisions being based on prior experience by humankind being very similar.
• 9:56
  And maybe the changes, at least at the beginning, are similar, but this technology is going to move it so much faster.
• 10:06
  And as human beings, I don't think we're capable of being prepared in the best way.
• 10:13
  But when are we ever?
• 10:14
  When is it ever a good idea to go on vacation?
• 10:17
  When is it ever a good idea to go on holiday?
• 10:20
  I mean, you want to, and you got two weeks coming up or four weeks or whatever your vacation schedule is, and you got it.
• 10:26
  But should you really leave?
• 10:28
  I mean, is it really a good time?
• 10:29
  I mean, you haven't dropped that 10 pounds, you've been wanting to bleed off since last year.
• 10:33
  When's the best time?
• 10:35
  Yeah.
• 10:36
  Just be aware.
• 10:37
  Keep your eyes open.
• 10:38
  I'm gonna get back to the script right now.
• 10:41
  So basically, he picked the name on purpose.
• 10:44
  We talked about his words were sharp when he talked about AI.
• 10:47
  This is back to the Pope.
• 10:49
  He wrote that chasing bigger profits cannot justify choices that throw people out of work.
• 10:54
  Because a human being is not a tool to be used and tossed.
• 10:57
  He said the economy is supposed to serve people.
• 11:00
  People are not supposed to serve the economy.
• 11:03
  So when the Pope and the Las Vegas car dealers and the Hollywood writers are all saying the same thing, you know the fix is potentially possible.
• 11:12
  People are already building it, maybe.
• 11:14
  But there's a catch, and you need to hear it because this is part of the whole picture.
• 11:19
  Another thing that it says I don't like.
• 11:21
  A union is supposed to stand behind the worker, and sometimes it does.
• 11:25
  But a union is run by people, and people can be bought.
• 11:28
  The most famous union boss in America history was a man named Jimmy Hoffa, and he ran the truck drivers' union.
• 11:35
  And his story is a crime story.
• 11:37
  The union had a giant pile of retirement money, and working truck drivers paid in for their old age, and Hoffa handed access to that money to the mob.
• 11:46
  The actual mafia.
• 11:48
  They used the workers' retirement fund like their own private bank.
• 11:51
  Hoffa went to prison for it.
• 11:52
  And then after he got out, tried to take his union back.
• 11:55
  He vanished from a restaurant parking lot in 1975.
• 11:59
  The FBI believes the mob killed him.
• 12:02
  Of course they do.
• 12:03
  And it wasn't just him.
• 12:05
  A whole line of union bosses over the years ended up convicted of stealing from their own members.
• 12:10
  So if you gut, if your gut flinches a little when you hear the word union, already talked about that a little bit, that flinches earned.
• 12:17
  But watch this.
• 12:18
  Here's a real lesson.
• 12:19
  Even while Hoffa was handing the mob the workers' money, he was also fighting hard for those same workers.
• 12:25
  He won them better pay.
• 12:26
  His own members kept voting him back in.
• 12:29
  Even after he was convicted twice, they knew that he was crooked.
• 12:33
  They re-elected him anyway.
• 12:35
  That sounds familiar.
• 12:36
  Because a crooked man who still won them a paycheck beat having nobody in their corner at all.
• 12:41
  Again, sounds familiar.
• 12:43
  Here's what that teaches us.
• 12:44
  The fix is never one big savior.
• 12:47
  It's never one union boss, one boss, one pope, one law.
• 12:51
  And single, any single one of those can be bought.
• 12:54
  They can fail, they can let you down.
• 12:56
  The fix is people, lots of them refusing to let each other fall.
• 12:59
  So let me get specific because I don't want you to close this video feeling stirred up with nowhere to put it.
• 13:05
  Here's what people can actually do: real things, things you can start this week.
• 13:08
  First, learn the machine before it learns your job.
• 13:10
  Talked a little bit about that.
• 13:12
  You don't need a degree, you don't need a free afternoon, you just need a free afternoon.
• 13:16
  Sit down with one of these AI tools and use it for one real task in your work.
• 13:20
  The plumber who learns to make the machine answer his phones.
• 13:23
  Hairstylist who learns to make it fill her empty Tuesday slots, bookkeeper who learns to make it do in 20 minutes what used to take her all day.
• 13:34
  The moment you run the machine, the machine stops being the thing that replaces you and starts being the thing that actually works for you.
• 13:44
  Second, teach the next person.
• 13:46
  This is a big one.
• 13:47
  The reason the weavers won, the reason that workers of a hundred-year-old 100 years ago changed the world is they did not learn alone.
• 13:57
  They taught each other in church basements, union halls, kitchen tables.
• 14:01
  So when you figure out one of these tools, you turn around, you show somebody else who's scared.
• 14:06
  Your neighbor who just got laid off, the kid down the street who can't find an entry-level job, your own father who thinks he's too old to learn, you hand it to them.
• 14:14
  Free.
• 14:15
  That's how a person survives a thing like this.
• 14:17
  No one person getting strong.
• 14:20
  Now, everyone needs a little stronger because somebody reached back.
• 14:24
  Third, if you own a business, you hire the human and arm them with a machine.
• 14:29
  You don't fire your front desk person or place her with a robot.
• 14:33
  You give her the robot and let her do the work of five people and you keep her.
• 14:38
  You pay her more because now she's worth more.
• 14:40
  That's a choice.
• 14:41
  The law doesn't force you to cut her.
• 14:44
  You can choose people.
• 14:45
  Some bosses are going to be one of them.
• 14:47
  And say so out loud because other bosses are watching to see what's normal.
• 14:51
  Now I told you what we can do for each other, but that part alone isn't enough because the companies doing this are worth trillions of dollars and they're not going to stop on their own.
• 15:00
  Why would they?
• 15:00
  The law rewards them for it.
• 15:03
  So we can't just ask nicely.
• 15:05
  We have to hit them where it hurts.
• 15:07
  And the only place that hurts a trillion-dollar company is the money.
• 15:10
  So here's the idea, and it's not mine.
• 15:12
  The man who started Microsoft, Bill Gates, said it years ago.
• 15:16
  Interestingly enough, you might have your own position on this cat.
• 15:20
  I do too.
• 15:21
  Think about how it works right now.
• 15:22
  A company hires a person for$50,000 a year.
• 15:25
  Government taxes the paycheck, income tax, social security, all of it.
• 15:29
  The tax money pays for road schools fire department.
• 15:32
  Now a company swaps that person out for a machine.
• 15:34
  Machine does the same job, but the machine doesn't earn a paycheck, so there's no paycheck to tax.
• 15:39
  The town just lost the money.
• 15:41
  The school just lost the money.
• 15:43
  So he asked a simple question if the machine is doing the$50,000 job, why don't we tax the machine the same way we tax the person?
• 15:50
  People call it a robot tax.
• 15:52
  And here's the part that matters for you and me.
• 15:55
  This is not taxing the rich because they're rich.
• 15:58
  I don't care how big somebody's house is.
• 16:00
  This is something different.
• 16:02
  The taxing of the machine that took the paycheck.
• 16:05
  You replaced a human and pocketed the savings fine.
• 16:08
  Then you pay what that human would have paid.
• 16:10
  The money just doesn't vanish out of town and you keep paying the human you replaced.
• 16:15
  Now, there are smart people who say this is a bad idea and you should hear their side too.
• 16:19
  That little bit you keep paying the human, that was me.
• 16:21
  They say it's too hard to figure out what even counts as a machine.
• 16:25
  If you're gonna bring one in to replace the human, well, you keep the human.
• 16:29
  The self-checkout of the grocery store, is that a machine who took a job?
• 16:33
  You know, well, when we go shopping, I had no idea years ago that we were gonna become, you know, grocery store clerks charging our own stuff.
• 16:41
  I mean, what if we miss something, right?
• 16:43
  How does that work?
• 16:44
  Because we've never been trained.
• 16:46
  We've never gone to a class saying, well, you've got to scan every single item and make sure you count and make sure, you know, they've tried to work past this by putting weights on scales and then the scales itself make a determination as to what you paid for or not.
• 16:59
  But, you know, you got to be careful, right?
• 17:01
  But now we're doing that.
• 17:03
  They have a point.
• 17:04
  You write the rule sloppy, the companies and people will wiggle right out of it.
• 17:08
  Here's how you fix it.
• 17:09
  You don't tack the machine, wrong target.
• 17:11
  You tax the moment a company lays off a person and keeps the money it's saved.
• 17:17
  You don't go after the tool, you go after the choice.
• 17:19
  The choice to cut the human and pocket the difference.
• 17:22
  That's clean and simple.
• 17:23
  A company can hide what counts as a robot.
• 17:26
  You can't hide that it just let a thousand people go while its profit went up.
• 17:31
  And then where does the money go?
• 17:32
  Well, it won't go on the same pile in Washington.
• 17:36
  And he said it himself, it should pay for the work that humans are actually better at than any machine taking care of our old people, helping kids in school, work this country needs and work this country needs and never has enough money for.
• 17:51
  The machine took a job over here, so the money trains a person to do a job over there that a machine can never do.
• 17:57
  There's an even bigger version of this.
• 17:58
  Another thinker said the giant tech company should have to hand over a piece of the company itself, not just a tax, slice of ownership.
• 18:06
  Put it in a fund that belongs to the public.
• 18:08
  So when these companies make billions off of machines, every regular citizen owns a tiny piece who gets a check.
• 18:13
  The idea is simple.
• 18:15
  These companies got rich using stuff we paid for.
• 18:17
  The internet roads the research.
• 18:20
  We should own a piece of what they built on top of it.
• 18:22
  Now you don't have to agree with every version.
• 18:24
  The point is this the solution is not only us being kind to each other, solution is also making the people at the very top pay for what they're breaking, and the law can do that if the people we vote for have the guts to ride it.
• 18:36
  So now you got the whole picture, three layers.
• 18:38
  Learn the machine so it can't replace you.
• 18:40
  That's on you.
• 18:41
  Teach the next person so your neighbor doesn't drown, that's on us, and make the trillion-dollar companies pay for every human they throw away.
• 18:49
  And that's on the people we elect, and that's our job to make them do it.
• 18:53
  One person can't do all three, but every single one of us can do one.
• 18:58
  Now, here's the last thing, and it's the heart of all of it.
• 19:02
  You're not going to win this by being a cheaper human.
• 19:04
  You cannot out-cheap a machine that works for free and never sleeps, race is over on that level.
• 19:09
  But we are never supposed to win by being cheaper.
• 19:13
  You win by being the one who runs the machine, and then by turning around and pulling somebody else up beside you.
• 19:19
  The four biggest tech giants are spending$700 billion this year on the equipment to power artificial intelligence.
• 19:26
  Nearly double last year.
• 19:27
  The billionaires already grabbed the controls.
• 19:29
  They grabbed them years ago.
• 19:31
  My whole job, the reason this channel exists, is to put those same controls in your hands.
• 19:36
  For$10 a month, you can get them, not$100 billion, and then ask you to do the one thing the billionaires will never do.
• 19:44
  Hand it to the next person.
• 19:46
  This is how we fix this.
• 19:47
  Not by hoping somebody saves us, by becoming the people who save each other, and by making the ones at the top pay their share.
• 19:54
  Stop being the cost, start being the operator, and then go make one more.
• 19:59
  Anyway, I'll see you on the next one.
• 20:01
  AI for everybody, not just the wealthy.
• 20:03
  And I hope you're well.
• 20:04
  Be safe out there.
• 20:05
  I'm Connor with honor.
• 20:07
  We'll see you soon.
• 20:10
  We need to talk about a number: 92,000.
• 20:13
  That's how many technology jobs disappeared in the first five months of this year.
• 20:18
  That was gone by May of 2026.
• 20:22
  The full count across all tech is 142,000 people, 142,000 families, people with mortgages, people with kids in school, people who showed up early and who did good work for many, many years.
• 20:36
  On May 20th, a company called Meta started telling 8,000 of its workers that jobs were over.
• 20:42
  Meta owns Facebook and Instagram.
• 20:44
  You probably use something that they own today in some way.
• 20:48
  That same day, Meta told the world how much money it made in the first three months of the year.
• 20:54
  That's$56.3 billion in sales.
• 20:57
  That's up 33% from the year before.
• 20:59
  Pretty good.
• 21:00
  Their profit was$26.8 billion.
• 21:04
  Record profit and 8,000 people cut.
• 21:07
  That was the same day, the same company.
• 21:10
  This was not a business in trouble trying to just survive, trimming the flock to be able to just make ends meet.
• 21:17
  This was a business drowning in cash that let thousands of people go anyway.
• 21:23
  So we have to ask why a company swimming in money would actually do that.
• 21:28
  And the answer, it's a little difficult.
• 21:31
  And I think most people would rather not look at it.
• 21:33
  So let me walk you through how a big company like this actually works because once you see it, you can't unsee it.
• 21:41
  It's like IPOs with AI companies.
• 21:43
  Here we go.
• 21:44
  A public company is one where people can buy a small piece of it on the stock market.
• 21:49
  Those pieces are called shares.
• 21:51
  The people who own them are called shareholders.
• 21:53
  When a company sells those pieces to the public for the very first time, that's called an initial public offering.
• 22:00
  You'll hear people shorten it to IPO.
• 22:02
  It just means the day a private company opens itself up and lets the public buy into it.
• 22:08
  Now, once a company is public, the people running it have a legal job.
• 22:12
  Lawyers call it a fiduciary duty.
• 22:16
  This big phrase for a simple idea.
• 22:18
  It means the bosses have a legal responsibility to act in the best interest of the owners, the shareholders.
• 22:26
  Now, here's where it gets kind of cold.
• 22:28
  Over the last hundred years, the court slowly decided what best interest actually means.
• 22:35
  And they didn't decide it means take care of your workers, take care of the humans, take care of the employees.
• 22:40
  No.
• 22:41
  They decided it means make the share price go up.
• 22:44
  Make the most money you can over the long run.
• 22:47
  There's a name for this idea.
• 22:48
  It's called shareholder primacy.
• 22:51
  Primacy just means first.
• 22:52
  The shareholders come first, before the workers, before the town, before the water supply, before the energy, before the family at the kitchen table.
• 23:02
  The law does not say take care of your people.
• 23:05
  The law says take care of the money.
• 23:07
  So I know it's crazy.
• 23:10
  So let me show you what this looks like with two workers standing side by side.
• 23:15
  First worker is a person, a human being.
• 23:17
  The human gets sick sometimes and stays home.
• 23:20
  Human needs a few days off to rest.
• 23:22
  Human has a baby and takes leave to be with their family.
• 23:25
  That human takes vacation in the summer.
• 23:27
  Human might get hurt on the job.
• 23:29
  Human needs health insurance.
• 23:30
  Human has a hard morning and snaps at a customer once in a while.
• 23:34
  Human asks for a raise.
• 23:36
  That human gets older, and the human has a sexual harassment complaint against them.
• 23:41
  The second worker is a machine.
• 23:43
  Machine doesn't get sick, doesn't sleep, doesn't need a weekend, doesn't have a baby, doesn't take Christmas off, doesn't ask for more money, doesn't get hurt, doesn't sue, and doesn't have a bad day.
• 23:53
  Now look at those two workers through the eyes of a company whose only legal job is to make the most money.
• 23:59
  Which one looks like a cost to actually cut?
• 24:02
  You know the answer, and so do they.
• 24:04
  So the company building these machines have already written the plan down.
• 24:08
  In plain English, the bet is to swap out expensive human workers for systems that run all day and night.
• 24:14
  No benefits, no breaks, no fights at the office.
• 24:17
  That's their own words in their reports.
• 24:20
  A man named Jack Dorsey runs a company called Block, B-L-O-C-K.
• 24:25
  You might know it from Cash App.
• 24:27
  He cuts his staff nearly in half, and he explained to his shareholders when he told them the new tools changed what it means to build and run a company.
• 24:35
  A boss told his investors in writing that he no longer needs as many people and the stock market liked it.
• 24:42
  The share price went up.
• 24:44
  Now, here's how big this could get.
• 24:45
  So you understand we're not talking about one company having a bad year.
• 24:49
  The bank, Goldman Sachs, study this.
• 24:51
  They estimate that around 300 million full-time jobs around the world are exposed to being done by artificial intelligence.
• 24:58
  300 million, Internationally Monetary Fund, which is a group that watches the whole world's economy, says about 40% of all jobs on Earth could be affected.
• 25:09
  That's 40%.
• 25:10
  Almost half of the working world.
• 25:12
  15, 20%, we got big problems.
• 25:15
  Not to mention 40.
• 25:17
  Now I'm going to stop and tell you something because there are people online who sell you a simpler story, a scarier one, and that story isn't actually all the way true.
• 25:26
  And this is all conjecture.
• 25:29
  The machines are not actually doing all these jobs yet, not even close.
• 25:33
  A group of economists in Oxford study this carefully.
• 25:35
  Back in January this year, 2026, they found that companies are not really handling the work over machines on a large scale.
• 25:42
  Not yet, at least.
• 25:43
  The robots have not taken over the office.
• 25:45
  So what's really going on?
• 25:46
  The machine is the excuse.
• 25:48
  During the good years, these giant companies hired way too many people.
• 25:52
  Now they want to let those people go.
• 25:53
  And artificial intelligence is replacing them.
• 25:56
  Sounds a whole lot better to investors than we made an expensive mistake and hired too many people.
• 26:02
  We gotta trim some of this fat.
• 26:04
  Even Sam Altman admitted this.
• 26:06
  He's the man who runs OpenAI, the company who makes ChatGPT.
• 26:09
  He said there's some AI washing going on.
• 26:12
  That means blaming the machine for the choice that the humans already wanted to make.
• 26:16
  Well, it's like blaming the dog for eating your homework.
• 26:19
  And it this one, this this move, actually makes these businesses much more money when they blame AI.
• 26:25
  Here's the full picture.
• 26:27
  Here's both halves.
• 26:28
  The law rewards a company for cutting people to push the share price higher.
• 26:32
  The artificial intelligence just handed every boss in America a clean, modern, respectable reason to do exactly that.
• 26:40
  This is the trap a lot of people are walking into without actually seeing the walls.
• 26:44
  Now here's the thing.
• 26:45
  We've been here before.
• 26:47
  About 130 years ago, the world went through what we call the first industrial revolution.
• 26:52
  Machines came into factories.
• 26:53
  Steam engines powered looms that could weave cloth faster than any human hand.
• 26:58
  And the same thing happened.
• 26:59
  Skilled workers who had spent their whole lives learning a trade watched a machine do their job for a fraction of the cost.
• 27:06
  Whole towns of weavers lost everything.
• 27:10
  Bosses got rich, workers got crushed, and the law back then sided with the money.
• 27:15
  Same as now.
• 27:16
  I bring that up for a reason.
• 27:18
  Not to scare you, but hopefully to give you hope.
• 27:21
  Because the people of the time did not just lie down and take it.
• 27:24
  They fought back and they changed it.
• 27:26
  The world we grew up in with weekends, with a 40-hour work week, with an idea that a child belongs in school, not a factory, that world did not fall out of the sky.
• 27:35
  People actually built that.
• 27:36
  Ordinary people who decided that they weren't going to let the machine win on the machine's terms.
• 27:42
  And the first industrial revolution was brutal.
• 27:46
  And then people fixed it.
• 27:47
  Not perfectly, but they fixed it enough that their grandkids live better than they actually did.
• 27:53
  We can do that again.
• 27:54
  We're not watching a movie, we're not stuck.
• 27:56
  This is something that happened to us that we have no say in.
• 28:00
  We have a choice, we can fix this, but somebody has to have the guts to build the fix and say it out loud, and we're not going to let this happen to people.
• 28:08
  That's what they're going to say.
• 28:10
  They need to say that.
• 28:11
  So let me show you how people fight back and I'll show you what you can actually do.
• 28:15
  This is where the unions come from.
• 28:17
  Union's a simple idea, and I know you're shaking your head.
• 28:20
  One worker asking the boss for fair treatment is easy to ignore.
• 28:24
  The boss can replace that one person tomorrow.
• 28:27
  10,000 workers who agree to stop working at the same time unless they get a fair deal cannot be ignored.
• 28:32
  That's leverage.
• 28:34
  It's a shame we have to do that.
• 28:36
  That's power in a single that a single person doesn't have a loan.
• 28:39
  And the unions are not sitting around waiting for half of the workforce to vanish.
• 28:44
  They've already started fighting and they're winning real battles right now.
• 28:48
  Workers at a news company called Political used new language in their union contract to win a case against their own bosses after the company rolled out artificial intelligence tools that broke the rules they had agreed to.
• 28:59
  The workers won.
• 29:00
  In Hollywood, writers and actors went on strike, shut the whole industry down.
• 29:04
  They won a rule that says even if a studio uses artificial intelligence to come up with a movie idea, the credit and the pay can't go to the machine.
• 29:15
  The people who clean up the hotel rooms and deal with the cards in Las Vegas got ahead of it.
• 29:20
  They put rules about artificial intelligence into their contracts back in 2023 before most company bosses even had a plan.
• 29:26
  And last week, this fight got a voice you would not expect.
• 29:30
  The Pope, Pope Leo XIV, wrote his first major letter to the world.
• 29:34
  He made it artificial intelligence, the center of it.
• 29:37
  He picked the name on purpose.
• 29:39
  He named it after an earlier Pope, Leo XIII, who stood up for workers during the first industrial revolution.
• 29:46
  The new Pope is saying out loud that this is the same kind of moment.
• 29:50
  This is a new industrial revolution.
• 29:53
  Now, his words were sharp.
• 29:55
  We need to talk about a number.
• 29:57
  92,000.
• 29:58
  That's how many technology jobs disappeared in the first five months of this year.
• 30:03
  That was gone by May of 2026.
• 30:07
  The full count across all tech is 142,000 people, 142,000 families, people with mortgages, people with kids in school, people who showed up early and who did good work for many, many years.
• 30:21
  On May 20th, a company called Meta started telling 8,000 of its workers that jobs were over.
• 30:27
  Meta owns Facebook and Instagram.
• 30:29
  You probably use something that they own today in some way.
• 30:33
  That same day, Meta told the world how much money it made in the first three months of the year.
• 30:39
  That's$56.3 billion in sales.
• 30:42
  That's up 33% from the year before.
• 30:44
  Pretty good.
• 30:45
  Their profit was$26.8 billion.
• 30:49
  Record profit and 8,000 people cut.
• 30:52
  That was the same day, the same company.
• 30:55
  This was not a business in trouble trying to just survive, trimming the flock to be able to just make ends meet.
• 31:02
  This was a business drowning in cash that let thousands of people go anyway.
• 31:08
  So we have to ask why a company swimming in money would actually do that.
• 31:13
  And the answer, it's a little difficult, and I think most people would rather not look at it.
• 31:18
  So let me walk you through how a big company like this actually works because once you see it, you can't unsee it.
• 31:26
  It's like IPOs with AI companies.
• 31:28
  Here we go.
• 31:29
  A public company is one where people can buy a small piece of it on the stock market.
• 31:34
  Those pieces are called shares.
• 31:36
  The people who own them are called shareholders.
• 31:38
  When a company sells those pieces to the public for the very first time, that's called an initial public offering.
• 31:45
  You'll hear people shorten it to IPO.
• 31:47
  It just means the day a private company opens itself up and lets the public buy into it.
• 31:53
  Now, once a company is public, the people running it have a legal job.
• 31:57
  Lawyers call it a fiduciary duty.
• 32:01
  This big phrase for a simple idea.
• 32:03
  It means the bosses have a legal responsibility to act in the best interest of the owners, the shareholders.
• 32:11
  Now, here's where it gets kind of cold.
• 32:13
  Over the last hundred years, the court slowly decided what best interest actually means.
• 32:20
  And they didn't decide it means take care of your workers, take care of the humans, take care of the employees.
• 32:25
  No.
• 32:26
  They decided it means make the share price go up.
• 32:29
  Make the most money you can over the long run.
• 32:32
  There's a name for this idea.
• 32:33
  It's called shareholder primacy.
• 32:36
  Primacy just means first.
• 32:37
  The shareholders come first, before the workers, before the town, before the water supply, before the energy, before the family at the kitchen table.
• 32:46
  The law does not say take care of your people.
• 32:50
  The law says take care of the money.
• 32:52
  So I know it's crazy.
• 32:55
  So let me show you what this looks like with two workers standing side by side.
• 33:00
  First worker is a person, a human being.
• 33:02
  The human gets sick sometimes and stays home.
• 33:05
  Human needs a few days off to rest.
• 33:07
  Human has a baby and takes leave to be with their family.
• 33:10
  That human takes vacation in the summer.
• 33:12
  Human might get hurt on the job.
• 33:14
  Human needs health insurance.
• 33:15
  Human has a hard morning and snaps at a customer once in a while.
• 33:19
  Human asks for a raise.
• 33:21
  That human gets older, and the human has a sexual harassment complaint against them.
• 33:26
  The second worker is a machine.
• 33:28
  Machine doesn't get sick, doesn't sleep, doesn't need a weekend, doesn't have a baby, doesn't take Christmas off, doesn't ask for more money, doesn't get hurt, doesn't sue, and doesn't have a bad day.
• 33:38
  Now look at those two workers through the eyes of a company whose only legal job is to make the most money.
• 33:44
  Which one looks like a cost to actually cut?
• 33:47
  You know the answer, and so do they.
• 33:49
  So the company building these machines have already written the plan down.
• 33:53
  In plain English, the bet is to swap out expensive human workers for systems that run all day and night.
• 33:59
  No benefits, no breaks, no fights at the office.
• 34:02
  That's their own words in their reports.
• 34:05
  A man named Jack Dorsey runs a company called Block, B-L-O-C-K.
• 34:10
  You might know it from Cash App.
• 34:12
  He cuts his staff nearly in half, and he explained to his shareholders when he told them the new tools changed what it means to build and run a company.
• 34:20
  A boss told his investors in writing that he no longer needs as many people, and the stock market liked it.
• 34:27
  The share price went up.
• 34:29
  Now, here's how big this could get.
• 34:30
  So you understand we're not talking about one company having a bad year.
• 34:34
  The bank, Goldman Sachs, study this.
• 34:36
  They estimate that around 300 million full-time jobs around the world are exposed to being done by artificial intelligence.
• 34:43
  300 million, Internationally Monetary Fund, which is a group that watches the whole world's economy, says about 40% of all jobs on Earth could be affected.
• 34:54
  That's 40%.
• 34:55
  Almost half of the working world.
• 34:57
  15, 20%, we got big problems.
• 35:00
  Not to mention 40.
• 35:02
  Now I'm going to stop and tell you something because there are people online who sell you a simpler story, a scarier one, and that story isn't actually all the way true.
• 35:11
  And this is all conjecture.
• 35:14
  The machines are not actually doing all these jobs yet, not even close.
• 35:18
  A group of economists in Oxford studied this carefully.
• 35:20
  Back in January this year, 2026, they found that companies are not really handling the work over machines on a large scale.
• 35:27
  Not yet, at least.
• 35:28
  The robots have not taken over the office.
• 35:30
  So what's really going on?
• 35:31
  The machine is the excuse.
• 35:33
  During the good years, these giant companies hired way too many people.
• 35:36
  Now they want to let those people go.
• 35:38
  And artificial intelligence is replacing them.
• 35:41
  Sounds a whole lot better to investors than we made an expensive mistake and hired too many people.
• 35:47
  We gotta trim some of this fat.
• 35:49
  Even Sam Altman admitted this.
• 35:50
  He's the man who runs OpenAI, the company who makes Chat GPT.
• 35:54
  He said there's some AI washing going on.
• 35:57
  That means blaming the machine for the choice that the humans already wanted to make.
• 36:01
  Well, it's like blaming the dog for eating your homework.
• 36:04
  And it this one, this this move, actually makes these businesses much more money when they blame AI.
• 36:10
  Here's the full picture.
• 36:12
  Here's both halves.
• 36:13
  The law rewards a company for cutting people to push the share price higher.
• 36:17
  The artificial intelligence just handed every boss in America a clean, modern, respectable reason to do exactly that.
• 36:25
  This is the trap a lot of people are walking into without actually seeing the walls.
• 36:29
  Now here's the thing.
• 36:30
  We've been here before.
• 36:32
  About 130 years ago, the world went through what we call the first industrial revolution.
• 36:36
  Machines came into factories.
• 36:38
  Steam engines powered looms that could weave cloth faster than any human hand.
• 36:43
  And the same thing happened.
• 36:44
  Skilled workers who had spent their whole lives learning a trade watched a machine do their job for a fraction of the cost.
• 36:51
  Whole towns of weavers lost everything.
• 36:55
  Bosses got rich, workers got crushed, and the law back then sided with the money.
• 37:00
  Same as now.
• 37:01
  I bring that up for a reason.
• 37:03
  Not to scare you, but hopefully to give you hope.
• 37:06
  Because the people of the time did not just lie down and take it.
• 37:09
  They fought back and they changed it.
• 37:11
  The world we grew up in with weekends, with a 40-hour work week, with an idea that a child belongs in school, not a factory, that world did not fall out of the sky.
• 37:20
  People actually built that.
• 37:22
  Ordinary people who decided that they weren't going to let the machine win on the machine's terms.
• 37:27
  And the first industrial revolution was brutal.
• 37:30
  And then people fixed it.
• 37:32
  Not perfectly, but they fixed it enough that their grandkids live better than they actually did.
• 37:38
  We can do that again.
• 37:39
  We're not watching a movie, we're not stuck.
• 37:41
  This is something that happened to us that we have no say in.
• 37:45
  We have a choice.
• 37:46
  We can fix this, but somebody has to have the guts to build the fix and say it out loud, and we're not going to let this happen to people.
• 37:53
  That's what they're going to say.
• 37:55
  They need to say that.
• 37:56
  So let me show you how people fight back and I'll show you what you can actually do.
• 38:00
  This is where the unions come from.
• 38:02
  Union's a simple idea, and I know you're shaking your head.
• 38:05
  One worker asking the boss for fair treatment is easy to ignore.
• 38:09
  The boss can replace that one person tomorrow.
• 38:12
  10,000 workers who agree to stop working at the same time unless they get a fair deal cannot be ignored.
• 38:17
  That's leverage.
• 38:19
  It's a shame we have to do that.
• 38:21
  That's power in a single that a single person doesn't have a loan.
• 38:24
  And the unions are not sitting around waiting for half of the workforce to vanish.
• 38:29
  They've already started fighting and they're winning real battles right now.
• 38:33
  Workers at a news company called Politico used new language in their union contract to win a case against their own bosses after the company rolled out artificial intelligence tools that broke the rules they had agreed to.
• 38:44
  The workers won.
• 38:45
  In Hollywood, writers and actors went on strike, shut the whole industry down.
• 38:49
  They won a rule that says even if a studio uses artificial intelligence to come up with a movie idea, the credit and the pay can't go to the machine.
• 39:00
  The people who clean up the hotel rooms and deal with the cards in Las Vegas got ahead of it.
• 39:05
  They put rules about artificial intelligence into their contracts back in 2023 before most company bosses even had a plan.
• 39:11
  And last week, this fight got a voice you would not expect.
• 39:15
  The Pope, Pope Leo XIV, wrote his first major letter to the world.
• 39:19
  He made it artificial intelligence, the center of it.
• 39:22
  He picked the name on purpose.
• 39:24
  He named it after an earlier Pope, Leo XIII, who stood up for workers during the first industrial revolution.
• 39:31
  The new Pope is saying out loud that this is the same kind of moment.
• 39:35
  This is a new industrial revolution.
• 39:38
  Now, his words were sharp.
• 39:40
  Let me go.