2026 is the Year that MASS AI REPLACEMENT of Humans Takes Off
Mike Adams, AI developer and "adventurer," dismisses claims of stagnant AI progress, citing benchmarks like the Humanities Last Exam (HLE), where Anthropic’s Quad Opus 4.6 hit 53% in early 2026—far exceeding expert predictions. With AI replacing 30,000+ jobs at Amazon India and 9,000 at Microsoft, mass unemployment risks economic collapse, forcing governments to fund unsustainable UBI programs costing trillions. Adams warns of potential democide via engineered crises—wars, pandemics, or cyberattacks—to cull populations while protecting skilled AI collaborators, urging listeners to stockpile resources and avoid protests as societal instability looms. [Automatically generated summary]
Last year in 2025, you heard lots and lots of people saying that there was an AI bubble.
And they said that AI capabilities had plateaued and that it wasn't possible to make AI systems any smarter than where they were last year.
And of course, I said all that's nonsense.
AI is going to continue to get way more capable.
There's no bubble in AI cognition.
There may be a bubble in AI stock valuation of companies, and actually, I'm certain that is true.
But when people say there's an AI bubble, what they're implying is that AI capabilities were overhyped and that it wasn't going to be able to deliver what was promised by the AI companies.
Well, of course, they were all wrong.
I'm Mike Adams.
I'm an AI developer slash adventurer, you could say.
And in today's podcast, I'm going to show you how AI is actually leaping forward in substantial ways this year, way ahead of where it was just really two months ago, actually.
And why there is not an AI capabilities bubble.
If anything, there's a human cognition bubble.
Human cognition is overrated.
And human cognition is about to be dwarfed by machine cognition.
And also, furthermore, just in case I haven't ruffled enough feathers yet, there's no such thing as artificial intelligence, that all intelligence is natural, including silicon intelligence.
It taps into a natural pattern of intelligence and cognition that exists throughout the universe that our brains also tap into.
So we're going to dive into all of this, but let's step back for a moment and start with the question, how do we measure machine intelligence?
And that's been a very difficult thing to do.
Namely, it's been difficult because the so-called benchmarks have been repeatedly just consumed by advances in AI technology.
Some of the benchmarks that were originally developed, let's say even three years ago, have already been saturated.
Even a desktop machine running open source models can score 100% on many of those older benchmarks.
And so over the years, there have been increasingly complex attempts to try to create benchmarks that would measure the problem-solving or cognition or intelligence capabilities of AI models.
And the most notable of these, in my view, and remember, I am an AI developer.
I've built numerous platforms.
One of my platforms, BrightLearn.ai, has become the largest book publisher in the world.
We have over 31,000 books published now with the help of AI research and AI writing agents.
And all those books are available for free, by the way.
You can learn anything at zero cost at brightlearn.ai if you want to take advantage of it.
And yeah, I built that entire platform by myself with no other humans in the loop, just AI agents.
And actually, I built that platform with some AI agents that probably weren't ready yet.
And I paid the price for it.
But anyway, we'll get back to that.
I am an AI developer.
And so my opinion on this probably matters.
But you be the judge.
You tell me what you think.
So there's an exam called Humanities Last Exam, or HLE, as it's known in AI circles.
So HLE, it's a set of questions that you can ask any AI agent to answer these questions.
and they're a mixture of mathematics physics biology chemistry computer science engineering humanities and other topics and these questions are designed to be answerable by experts in the field typically it would take a college graduate maybe often a phd to be able to answer these questions correctly Let me give you an example.
Here's one of the questions from the biology category.
Many Paired Tendons?00:02:04
It says, hummingbirds with a podiformis uniquely have a bilaterally paired oval bone, a sesamoid embedded in the caudolateral portion of the expanded cruciate aponeurosis of insertion of M. depressor caudae.
That's a species, I guess.
How many paired tendons are supported by this sesamoid bone?
Answer with a number.
Okay, so you and I, we don't know how many paired tendoi, tit tendons, excuse me, how many paired tendons are in a hummingbird within this certain species.
We have no freaking idea.
Why?
Because we're not hummingbird experts, right?
You probably have to be a PhD in, you know, aviary sciences or what have you to get the answer, right?
So this is asked of the AI, and if they get it right, then they score, you know, plus one.
So here's a chemistry question.
The reaction shown is a thermal paracyclic cascade that converts the starting heptane into indiandric acid B-methyl ester.
The cascade involves three steps, two electrocyclizations followed by a cycloaddition.
What types of electro cyclizations are involved in step one and two?
And what type of cycloaddition is involved in step three?
Don't know.
Multiple choice, please?
Yeah, of course, you and I don't know because we don't have PhDs in chemistry.
Now, maybe some of you listen, you're like, oh, I know.
That's the atroloid ester or whatever.
You've got the answer because you're a PhD.
The rest of us don't know.
And it goes on.
You know, there's questions in physics.
A block is placed on a horizontal frictionless rail and attached to a grid.
A massless rod of length R, and it goes on and on and on, right?
Cycloaddition Conundrum00:16:03
So these require expert-level knowledge and problem-solving skills.
They're not just fill-in-the-blank type of answers, although, you know, perhaps some of them could be.
But many of them are problem-solving.
You have to understand the question.
You have to grasp it.
You have to work out the answer.
You have to maybe do some math.
Some of the questions are like this.
Using the Tiberian pronunciation tradition, identify all closed syllables ending in a consonant sound in this biblical Hebrew text.
And then it quotes from Psalms chapter 104, verse 7.
Yeah, how's your Tiberian pronunciation doing?
I don't know about you.
Mine sucks.
I don't know.
It totally sucks because I didn't even know there was Tiberian pronunciation.
But there you go, because I'm not a Bible scholar.
I'm not an ancient languages expert, right?
But if you go through all of these, this is called humanity's last exam.
Now, I want to show you a chart because it's believed that when AI can answer all these questions correctly, in other words, if it can get 100 out of 100, then that's, you know, I don't know what you want to call it.
Some people would say artificial general intelligence.
I think it's more than that because general intelligence can't even answer some of those questions.
That's higher than general intelligence.
That's sort of artificial genius intelligence, maybe.
I wouldn't quite call it super intelligence, but it's, you know, it's more than just typical human PhD level intelligence, probably.
Especially to be able to answer all these questions across all these different domains, which no human can do.
Let's be honest.
There's no human.
You know, not even your favorite Jeopardy expert can answer all these questions because these are not Jeopardy questions.
All right, so I want to show you this chart.
And this chart starts in November of 2024.
And it really only goes through the end of 2025 because, well, I'll tell you shortly.
But you can track the progress of humanity's last exam through this chart.
So there we have GPT-4.0 was scoring like four or something at the end of 2024.
And then DeepSeek R1 came out.
That was a big deal.
And that was only one year ago, by the way.
That was a year ago.
And then DeepSeek R1, everybody was hailing its potential.
It's amazing.
It scored almost 10%.
Like, wow, this is amazing.
This is a reasoning model, you know?
And then after that, 03 Mini came along and beat that.
And then Gemini 2.5.
And then 03, that's from OpenAI, of course.
And then you see Grok 4 came in.
Grok 4, well, that was in July of 2025, just last summer.
Grok 4 started to score about 25%.
And then GPT-5 scored 25 or a little over 25%.
And you can see all the models here.
And then November of last year, Gemini 3 Pro managed to hit 38%, which was considered a breakthrough because I remember hearing many AI experts maybe 18 months ago who were thinking that we wouldn't be anywhere near this.
Even last year, they were predicting that maybe we would see a model beat 20% by the end of last year.
Well, Gemini 3 Pro has hit 38%, but that was in November.
And a lot has happened since then.
And specifically, Anthropic has released Quad Opus 4.6, which is the coding engine that I'm using now.
And I'm using it now for just a couple of days because it's only been out for a couple of days.
But guess what?
Opus 4.6 scores on this.
The answer is 53%.
So it's off this chart.
It's off the chart.
It's above the 50, which is the top of the chart.
So now for the first time, we have an AI model that has adaptive reasoning.
It has context compaction.
It can handle long, complex tasks.
It does its own internal planning.
It assigns its own sub-agents.
It does extraordinary things.
And it also calls external tools in order to achieve that score, by the way.
Tools could be, you know, special calculation tools, things like that.
So 53%.
Now, 53% is extraordinary.
So for everybody last year who was saying there's an AI bubble and AI has maxed out and it's not going to get any smarter, okay, they're just wrong.
They're just wrong because here we go.
We've leapfrogged all of last year with an early release this year.
And guess what's about to come out?
Well, remember how a year ago there was DeepSeek R1?
Well, now we're about to get DeepSeek, it may be called Model 1 or R4.
And that is rumored to be coming out in just a couple of weeks.
Personally, I can't wait to get my hands on that.
I'm actually preparing some special workstations to run it.
Because DeepSeek version 4 is going to be something really special, I think.
And I think the world's going to be shocked.
But even if it's not, the world's already shocked by Opus 4.6.
And what we're finding out is that, no, we have not plateaued.
If anything, we're starting to take off on a parabolic growth of machine intelligence.
So again, every narrative that said, oh, we've reached a peak, that's turned out to be completely false.
And this new model, Anthropic 4.6, is so capable that this, just by itself, is going to replace a large number of current human jobs.
I mean, the economy in America and around the world is going to be so strongly impacted by this that 2026 is going to be the year that the masses realize that, holy cow, I've been replaced by a machine.
That's going to happen across the board.
I mean, not everybody, but it's going to happen across white-collar jobs, middle manager jobs, obviously entry-level jobs, coding jobs, decision-making jobs, and so much more.
So as evidence of this in India, the tech stock market in India, which is a sub-index of Indian IT, just cratered just like four or five days ago, cratered, the worst fall since March 2020.
The so-called Nifty IT index dropped over 7%, wiped out $23 billion in valuation in a single session.
Infosys led the decline with a 7.3% drop, and then TCS and Wipro, two other prominent companies there, they fell a large amount.
Now, it is widely believed that this was triggered by Claude, Anthropic, which just released Opus 4.6.
Anthropic released something called Cowork, which is an agent that works on your desktop.
It's kind of like a version of Claude Code that can also mess with all your files and run your spreadsheets or build spreadsheets for you, things like that.
And this co-work item, it automates all kinds of tasks that typically have been pursued by companies offering software as a service or SAAS as it's called.
And this includes sales software, marketing software, legal data analysis, all kinds of different software.
Claude Cowork and Claude Code, now combined with Opus 4.6, has just made SAS or SAAS basically obsolete.
So companies like Salesforce, in my opinion, are probably doomed at this point.
And many other companies that offer software as a service, they're probably doomed.
So realizing this, investors initiated a massive sell-off of software stocks.
This hit not just India, like I said, but in the US and Europe as well.
In India, the IT sector is about $283 billion a year.
And that sector relies primarily on large numbers of Indian engineers coding for clients all over the world.
And the advantage of Indian engineers is that they speak English, allegedly.
No, I'm kidding.
No, they do speak English.
And the disadvantage of Indian workers, and this is something that we've run into.
I mean, we've hired workers from India in the past, et cetera.
Many of them are great.
Not trying to cast a shadow over all India people, but many of them, they run a bait and switch operation.
These hiring companies, they'll have a really strong technical person do the initial interview, and then they'll swap that person out with a much less capable person, but still keep the same name.
Or they'll have one capable person really working for four or five companies at the same time, billing all of them for full-time work, but actually not doing full-time work for all those companies, obviously.
So there's been a lot of scams, a lot of shady stuff when it comes to India-based coding people.
And again, I've worked with them.
I've worked with coders from all over the world, you know, from Asia and South America and Europe and India and almost everywhere, right?
I mean, everywhere that there's coders.
And you may recall that what I said just a few months ago is that I'm going to build this BrightLearn.ai book engine as a as a pilot project.
Well, actually, the first one I built has now become BrightNews.ai.
That was a simpler project.
And I wanted to see if I could build it myself with no engineers.
Now, we still hire engineers, by the way, just to be clear.
We have engineers that run our other platforms and systems.
So we haven't eliminated human engineers.
However, all the projects that I've built have been built solely with one human, that's me, and just AI coding.
Also, for the record, I've tried to use another AI developer in the mix.
And so far, that hasn't quite resonated yet.
Maybe it will.
But, you know, we'll see.
Everything that you see out there, everything that's been released, I built it myself.
That's BrightLearn.ai, BrightNews.ai, and brightanswers.ai.
And there's more coming.
So I'm the only human.
And intentionally, I did not hire any other human engineers.
And what I've found is that, yes, it was a struggle for the last few months, but I could do it.
I didn't need any other engineers.
And the advantage of using AI for coding is that they would work with me 24-7, even on weekends and holidays, because I'm pretty sure the people from India have like, I don't know, like 37 holidays a year or something like that.
Apparently, that's what they told me.
Can't work today.
We have another holiday.
Oh, really?
I didn't know about that holiday.
Yeah, special holiday.
Some of you who are Indian, you're laughing.
You know what I'm talking about because there's always another reason to eat some delicious food, you know?
So there's another holiday.
And then you combine that with all the other holidays in the Asian countries and the South American countries.
And it's like, I can never get the team together on any day to get a meeting or to get any work done.
And what I found out is that in the time it takes me to tell a human what I want done, I can just tell an AI system and then it just does it.
So in other words, if I have to explain my project to another human, I've already wasted time.
It's better to go from my brain straight to AI agents and let the AI code it.
And they're faster.
They're a fraction of the cost, now probably, you know, less than 1% the cost of a human engineer, far less.
They work weekends, holidays, evenings, anytime I want to code, they're ready to code.
And with amazing new coding agents like, let's say, Quinn CoderNext or Quinn3 CoderNext, I can even code locally.
I don't even need Anthropic.
Although Anthropic is better at writing code, but I can write local code just using GPUs and local inference.
You know, if the internet's down or whatever, I can still code projects on my desktop using local AI.
So I'm not the only one, obviously, who's experienced this.
And what's happening now is that all over the world, people are calling up their Indian contractor company and saying, well, we don't need your people because we're using Claude code here.
And the fear of this, the reality of this, is striking home in India where they're now realizing that, oh my God, almost every coder in India is about to become obsolete.
And that's why stock prices across the IT sector there are collapsing.
And also, a similar thing is going to be happening in the United States.
In fact, some of it has already begun.
In the U.S., for example, LegalZoom, which is a legal tech company, its stock price fell, I don't know, 15 or 20% in the last few months.
And that's going to continue to accelerate.
Like, did you know, for example, that you can use Claude code and you can ask it to just build you a clone of, let's say, Photoshop.
And it will write image editing software that you can run on your own computer.
So you don't need to buy Photoshop, you see.
Or you can ask it to write software that lets you edit WAV files so you don't need to buy audio editors.
Now, granted, if you ask it to write these things, it's going to write kind of a very basic version and it might be buggy at first.
But it's a very common practice right now for people who are testing AI tools to ask it to write video games.
Like, hey, write a side-scrolling shooter game themed off of zombies versus predators or whatever.
Or you can ask it to write a first-person shooter like the old Castle Wolfenstein.
Or, you know, you can ask it to just write any kind of game you want, like a Space Invaders kind of video game.
And it would just create the whole game.
And so, you know, who needs to go out and buy video games, especially the more simple ones, when you can just ask AI to build it for you?
Facing Mass Unemployment00:03:54
And if you think about it, that's what my book engine does also.
You don't need to spend a lot of money to learn something on a book.
You can just go to brightlearn.ai and you can ask it to create the book free of charge that you need, that you want, or that you want to share with other people.
And it will create the book for you at no cost.
In other words, I've reduced the cost of knowledge to zero.
And what Claude has done is it's reduced the cost of coding not to zero, but much closer to zero compared to human engineers.
So as a result, most human engineers, as of two days ago, or three or whatever, when Opus 4.6 was released, most human engineers across the planet are now obsolete.
Most of them.
And I've also noticed that just because somebody is a good engineer doesn't mean they're any good at vibe coding.
It doesn't mean they know how to use Opus 4.6.
Now, I've become extremely good at vibe coding, but I'm kind of known as a super fast learner anyway.
That's why I've been able to gain knowledge in so many different areas, such as lab, mass spec analysis, versus coding, versus health and nutrition, etc.
And a lot of other people are learning how to do it, but many people in IT are not learning how to do it.
They don't know where to begin, and they're going to be left behind.
And so, layoffs are already underway big time, big time.
And in India and elsewhere.
So, Amazon India just slashed 30,000 jobs since about late last year.
Microsoft let go of about 9,000 people in India.
Meta cut about 600 people.
And lots of startups are just mass layoffs across India.
So it's hitting all these entry-level engineers, especially.
And even though they're still graduating from the universities there, typically only about one in four graduates have job offers when they graduate from a high-end university there.
So you got three out of four that can't find jobs.
Now, a similar thing is happening in the United States, where middle managers are being replaced by AI and entry-level coders are being replaced by AI.
Now, of course, there are also new jobs, so it's not all a bleak picture.
The new jobs are all jobs that involve AI.
So if you're an AI engineer or an AI developer, you know, you're worth a fortune.
Like, if I wanted to work in the corporate world, I could be hired by, you know, anybody, Amazon, Tesla, Microsoft, Google.
If I wanted to work for a tech company, you know, they need skills of people like me to be able to walk in here, say, whoa, you built the largest book publishing library in the world by yourself using just AI code.
And you have the world's largest curated index of research documents that encapsulates the world's knowledge.
Like, how on earth did you do that and name your salary?
You know, seriously, if you're in AI and if you have any skills, if you know what you're doing, you can get huge job offers right now.
So it's not all bleak out there.
It's just that you have to upgrade your skills.
Now, what I really want to point out here is that we're about to face mass unemployment across the civilized world, across our tech-driven society.
Mass Unemployment Crisis00:15:35
We're about to face mass unemployment.
And yet, there is no plan underway to restore or to maintain basic incomes for people.
You know, that seems like an issue because if people don't have incomes, how are they going to afford to buy things?
You know, how is Procter ⁇ Gamble going to make money selling people crap personal care products if they don't have the money to buy it?
Right?
I mean, how is Kellogg's going to make money selling people crap breakfast cereals if they don't have the money, etc.
And for everything that's sold out there, I mean, the economy functions it this way, right?
Where manufacturers make stuff and then consumers buy it with their spare income, you know, whether it's food or clothing or vacations or fashion purses or whatever, or computers, you know, or cars, robots, you name it.
But as more and more people are displaced by automation, then they're not going to have the income to buy things.
And then, of course, what happens?
Well, the corporations that make things, they start to go bankrupt.
And I'm going to make a prediction here.
Ford will go bankrupt if it's not bailed out by the U.S. government.
Because Ford is, you know, sadly, the Ford company today is no longer much more than a shadow of what its original founder, Henry Ford, had in mind, you know, all-American-made automation, in a sense, you know, assembly line.
Let's innovate.
Let's make great things for the masses, right?
That was Ford's original vision.
Now, Ford is, you know, it's woke and stupid, and it makes electric vehicles that suck, and the ergonomics are horrible, and it's, you know, years behind China in terms of vehicle design.
It lacks innovation.
It lacks any kind of leadership.
Ford's going to go bankrupt.
And the vehicles, they cost too much and they suck too much also.
And there are many examples of this where U.S. manufacturers are going to go belly up because of the falling discretionary income of people who can't afford to pay those inflated prices for inferior American-made products like Ford vehicles.
They just suck.
Sometimes I'm not even sure they put all the parts on before it leaves the factory.
You know, it's like, well, you know, just take a rain check on some of those bolts or whatever.
It seems that way to me.
I don't know.
Maybe I'm wrong, but that's what it seems like.
And it's not just Ford.
It's other companies all across America.
So as these companies collapse, then all those people get laid off.
And then those people lose their jobs.
And in that case, they're losing their jobs not because of automation, but because of the economic implosion that's happening.
So as more and more people are replaced by AI, it has this cascading domino effect throughout the system where lots of people lose their jobs, people who were making their products that were provided to the people that used to get paid, but now are jobless because AI replaced them.
And this cycle is accelerating in 2026, big time.
So how are Western governments going to try to solve this?
Well, if you think about it, Western governments, I mean, pretty much all governments, they're clueless about economics.
Their solution to everything is just print more money, or currency, actually.
So that's what's going to happen.
They're going to have a UBI, a universal basic income, or some similar version of that.
They'll say, well, if you lost your job due to AI, or if you were making less than $100,000 a year and you lost your job or whatever the criteria is going to be, then here you get free money from the government.
And they're going to give you whatever, a couple thousand dollars a month, maybe enough to even pay for rent, maybe enough to pay for some food, maybe not.
Maybe it's just a supplement.
But for some people, possibly they could live off of that.
And that's called universal basic income.
They just pay money to everybody because so many people are displaced by automation.
And when the robots really get into the workforce, that's a few years down the road, then this whole phenomenon will be accelerated even more quickly.
Right now, we're only talking about software automation or digital work, cognition involving computers.
Now that's a big part of the workforce, but it's not all of it because we have all the labor jobs, all the agriculture, all the factory jobs, everything else.
That's going to take robotics and that's still many years away.
That's not going to happen this year.
No, not even next year.
But AI takeover for cognitive jobs, yes, that will happen this year.
It will accelerate and it will shock most people.
So anyway, the universal basic income, if you start to do the math on that, you realize that, holy cow, this is going to be a problem.
So if you think about it, if you provide a universal basic income of just $1,000 a month, which is not even enough to cover groceries these days, it seems, to, let's say, just one-third of the U.S. population, okay, let's say 100 million people, all right?
$1,000 a month and 100 million people.
And of course, there are 12 months in a year.
So if you do the math, that's $1.2 trillion a year.
$1.2 trillion.
So where's the government going to get $1.2 trillion, which is roughly about the budget of the Pentagon?
I mean, which is the largest budget in the U.S. budget.
So just to cover one-third of the population, you would have to print the currency of $1.2 trillion a year to hand it out to people who are no longer working.
The problem is that since those people are no longer working, they're no longer paying taxes into the system.
So not only are you draining out another $1.2 trillion per year, but you're also losing out on the income that those people would have normally created, which easily we could estimate could be another trillion off of taxes.
But let's say it's only 800 billion.
I say only.
But that means essentially there's $2 trillion a year in economic losses to the federal government where they have to print $2 trillion a year as new debt, which means they have to also find lenders who will buy the treasuries of another $2 trillion a year in order to fund this currency creation.
Well, there are no such buyers.
There's nobody left on the planet who wants to line up and buy a couple more trillion dollars of U.S. treasuries.
In fact, countries like Japan are trying to get rid of it and China's getting rid of it.
And most countries around the world are dumping U.S. treasuries.
So there's actually no way, unless you're going to just print the currency to buy your own treasuries, which is happening, but you'd have to scale that up to the point of just Weimar hyperinflation at that point, to the tune of trillions of dollars a year.
And at that point, then the erosion of the purchasing power of the dollar would be so great that even working people would be thrust into poverty.
Even taking home $100,000 a year salary would no longer be enough to afford to live.
You would live in poverty making $100K very quickly.
Some people argue we're already there, but surely we would be there very quickly in this scenario.
So the bottom line is you're going to have ultimately hundreds of millions of Americans who are unemployable and the government has to, you know, to keep them from revolting or uprising in the streets, you're going to have to pay them off somehow.
You're going to have to give them a UBI.
And then what are they going to do?
So they collect money from the government and what they're sitting around twiddling their thumbs like, what am I doing?
Like they've lost their identity.
They no longer are tied to work.
Even high-level people who used to be physicians or attorneys or architects or coding experts, engineers, whatever, they're all out of work.
These are smart people with college degrees, etc.
They're all out of work.
They're sitting around like, what's the point of living?
So you're going to have mass suicides.
This is already happening in India.
People are just going to say, well, The world no longer needs me.
Goodbye.
And, you know, they're going to check out.
You're going to see a massive increase in mass suicides.
And for those who don't kill themselves, they're going to start to join more uprisings and revolts.
So what we're looking at, because of AI automation, replacing human workers, you're going to have mass destabilization of so-called democracies.
And the response to that, what's it going to be?
What do you suppose?
What do governments do when the people start getting a little wiley?
What do they do?
They start cracking down.
They start censoring speech.
They start rolling out thugs like ICE that break into your house and arrest you and kidnap you or just shoot you in the streets.
And you do know that Homeland Security under Trump is spending $55 billion to build mass concentration camps all across the country.
It's in over 20 states.
And these concentration camps, some of them can hold almost 10,000 people each.
Now, the Trump administration says, well, they're for processing illegals.
Yeah, you think so?
You think they need places for hundreds of thousands of illegals to stay indefinitely?
No.
This is for Americans.
This is for Americans who are protesting because their jobs are obsolete and they have no incomes and they have no purpose in life.
And there's going to be a mass uprising.
And this will happen sooner than you think.
We could start to see these kinds of protests even before the end of this year and certainly well into 2027 and 2028.
You're going to see a lot of these.
And you're going to see protests against AI, against the machines, you know, down with the robots and things like that.
And, you know, people like Elon Musk, it's very easy for them to say, well, we'll just have a UBI.
Everybody will get money and everybody will get paid and you never have to work.
Okay, well, that sounds like a really nice fairy tale.
The problem is that, again, you can't actually pay everybody all the money without completely destroying the value of your currency.
And secondly, people need a purpose in life.
It's not enough to just collect money and what, sit around at home all day binging on Netflix and video games or whatever it is people do.
I mean, that's not going to cut it for people.
They need purpose.
They need to do something useful with their lives.
Otherwise, they find stuff to do.
Stuff that's usually involving, you know, like throwing Molotov cocktails at government buildings and things like that.
So you're going to have a very unruly population in this scenario.
And that's why, in my view, that's why the concentration camps are being built.
They're planning on the mass protests.
And not just protests against ICE, but protests against AI.
That's what's coming.
So now when you get back to that benchmark titled Humanity's Last Exam, see, I would add to that, and I would say that name, that name kind of rings a bell, except it's kind of, it's humanity's last test.
Will humanity remain relevant or will humanity survive this mass replacement?
And I think that sooner or later, the answer becomes apparent that yes, some will, some will, most will not.
Because sooner or later, every government realizes that you can't afford to keep paying all these people.
And so what governments do, well, what they always do, I mean, think about it.
Let me ask you.
What do governments do when they want to get rid of a lot of their people, especially young males?
What do they do?
They start a war.
And then they ship all their young males off to war to get killed.
And then, you know, the situation resets and the most unruly uprising protesters, you know, they're all gone.
And what's left behind is mostly the women.
And they're not as, you know, they're not as animated to protest against the government.
So war is coming because war is a convenient way for governments to achieve mass extermination of their own people so they don't have to pay them a UBI.
And it's a very convenient thing to do.
It might even be coordinated where the U.S. and China, their leadership gets together and say, hey, let's fake a war.
And then, you know, we'll have a bunch of people killed off in America.
We'll blame China.
And then in China, they'll have a bunch of people killed off there and they'll blame America.
And then each leader can say, oh, we're protecting our people and all the deaths are due to the other guy across the Pacific.
Yeah, you don't think they do that?
Much of history is theater, folks, including a lot of elements of World War II.
So yeah, that's exactly the kind of thing they can do and might do in order to reduce their populations.
Or they might release another pandemic, biological weapons, or a cyber attack, a power grid failure to be blamed on, conveniently, Russia or China or North Korea or Iran, maybe.
Oh, those Iranian hackers, they shut down the power grid.
And that's why everybody died.
Well, that's a convenient narrative.
But it could be that American government is shutting it down itself as an engineered way to get rid of maybe a couple hundred million people who are no longer employable.
You see?
So any way you look at it, eventually this comes down to mass extermination carried out by the governments, which is called democide.
Democide.
Yep.
Doom And Democide00:03:44
And democide's about to accelerate.
So that's the conclusion of where this is going.
So pay attention.
I will do my best to keep you informed and alive.
I'm confident that you and I can survive this.
We can navigate it.
We are way ahead of the curve.
Most people have no clue what's coming.
They'll be the first to be culled out of the system, obviously.
They have no preparation.
They have no stored food.
They have no money.
They don't own gold or silver.
They're not, you know, they're watching CNN or Fox News.
They're just kind of NPCs.
They're going to be the easiest for governments to eliminate.
But you and I, as I've said before, we are hard to kill, actually.
We're resilient.
And we're the kind of people that build societies.
We build civilization.
I'm a builder.
I'm an AI builder.
And I build for the benefit of humanity.
So if you think about it, world governments, they actually want people like me and you to stick around because we're going to have to rebuild a lot of stuff.
And they need visionaries who know how to build things, which is not the masses.
So, you know, the consuming masses will be considered expendable by most governments and they will be exterminated.
And it's going to be pretty easy to not be in that category, I believe.
But it will be the most bizarre time of history that really our country has ever gone through or even our world has ever experienced.
I'm not saying this is going to be a walk in the park.
It's going to be crazy.
It's going to be wild.
But point number one, don't join the protests or you'll end up in a death camp, right?
Point number two, keep learning, stay informed here.
I'll keep you posted.
Use my AI tools like brightanswers.ai and brightlearn.ai.
Follow the news at brightnews.ai and you'll be ahead of the curve.
And of course, I'll bring you expert interviews and expert analysis and expert tools to allow you to easily navigate what's coming.
So it's not doom for people like you or me.
It's only doom for the ignorant, which of course is most people.
But the thing is, they don't know it's doom.
And if you tell them, they get mad.
So don't even, you know, it's not worth it.
Focus on your own preparedness with the confidence you can make it through all of this.
Just be prepared and learn about AI.
Learn how to use AI.
You're going to need to.
You're going to need to talk to robots.
You're going to need to talk to software agents.
You're going to need to up your own skills in whatever you do, whether it's a corporation or a nonprofit or your own business or just your advocacy, whatever it is.
You're going to need to up your skills big time.
So keep learning.
Keep sharing.
Help others get up to speed.
Help others be free.
And we'll make it through this together.
And also, there will be a lot of available parking when this is all said and done.
The problem is there won't be any local businesses running.
A lot of abandoned malls, let's say, or strip malls and parking spaces that, I don't know, might be used for like shanty towns or something like that.
We'll see.
We'll see where it goes.
Yeah, you don't want to hang out near those, by the way, because of something called cholera.
Yeah, you know, sanitation is a good thing to have.
And that's going away for a lot of people.
So be careful.
All right.
Stay informed.
Thank you for listening.
I'm Mike Adams, the AI Adventurer.
And you can watch all my podcasts at Brighteon.com.
Take care.
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