Amazon Replaces Thousands of Human Workers with AI
Mike Adams reports Amazon Prime Video terminated 2,847 employees globally via email to commit to "AI-first development," noting the team previously shipped 40% more code using Anthropic's Claude Code. He argues AI currently handles 80% of white-collar jobs, placing law, medicine, and finance workers at high risk while autonomous household robots remain distant dreams. Adams also details how his Brightanswers.ai engine was overwhelmed by "lobster bots," forcing a tiered split, and predicts local AI will generate feature films by 2027, urging listeners to stock survival supplies against potential supply chain disruptions. [Automatically generated summary]
All right, welcome to this special report about AI and job replacements.
Amazon just fired 2,847 employees with an email that said, quote, your role has been eliminated effective immediately.
Your role, not you, but your role.
So, wow, this is Amazon Prime Video.
That's the division of Amazon that just had this employee firing bloodbath.
Also, hundreds of other engineers around the world outside the USA.
And according to the email from the VP of engineering of that division of Amazon, they said, quote, this transition represents our commitment to AI-first development.
They're getting a severance package, of course, and they have to sign a non-compete agreement for some period of time.
The team that was just let go had actually shipped 40% faster in terms of computer code in the previous quarter.
Why?
Because they were using Claude Code.
And Claude, which is a tool that I also use from Anthropic, Claude is almost certainly the best coding tool in the world.
And Claude works.
If you know what you're doing, it can save you so much time.
It's not an exaggeration to say that it will 10x your output if you know what you're doing.
If you have no idea what you're doing, it'll just merely double your output.
But if you're any good, you're going to get 510x.
I get at least 10x out of it.
But then again, I've been vibe coding for a while.
But here's the thing.
Over the last year, give or take, many of the employees who worked at Amazon Prime Video, they were given instructions to document their processes.
So whatever they were doing, their job role, their functions, they were told to document that and they put it in this internal company wiki, basically a knowledge base of how to do things.
That knowledge base became the perfect document to train Claude Code or other AI engines to take the jobs.
And that's exactly what has happened.
So it wasn't that long ago, just a few weeks ago, when there were still people on X saying that AI is a hoax, it doesn't work, it won't replace any human jobs, etc.
I don't hear that anymore.
And it sounded stupid even at the time when people were saying, and I was reminding people that, oh, you must be thinking about AI from 2022 or something, because this is 2026, and AI absolutely can do a lot of human jobs right now.
In fact, it can do about 80% of human white-collar desk jobs right now.
About 80%.
I'm not saying that it's going to.
You know, some jobs will take a long time to kind of switch over, but it's capable of doing 80% of desk jobs.
And so there you go.
Almost 3,000 employees from Amazon just got the pink slips and they're done.
This is going to spread like crazy.
Amazon, of course, is committed to replacing about 600,000 workers, mostly warehouse workers, with automation systems.
That includes robots.
Now, my take on this is that the desk jobs will be relatively easy to replace through automation, but that robots are going to be much more difficult than people think.
So it's funny because I find that most people have the opposite conclusion that I have, but I am, of course, better informed than most people on this.
So you could probably trust my conclusions more than the mainstream conclusions.
But mainstream people think that software AI doesn't work, but that robots are awesome.
No, no, no.
The reason people think that is because they keep watching dancing robot videos, which are all in essence scripted.
Those aren't autonomous robots.
Those are pre-programmed, you know, dance routines, which at one level, sure, that's impressive.
You know, the stability, the balance, the strength and speed, especially all those Chinese robots dancing around doing kung fu and everything.
Yeah, that's pretty cool.
But it's not the same as a robot in your house walking up the stairs without falling and face planting on your cat.
You know, it's not the same as a robot walking around your yard picking up trash or pulling weeds, which is my dream use case, as you know.
Or a robot folding laundry or doing dishes or unpacking groceries or putting food away in the pantry.
Or let's say, you know, reorganizing your den, huh?
How about that?
There's a job for high intelligent creatures.
These robots, the ones I just described, these won't exist for a couple of years, you know, two, three, four years, whatever it takes.
It's going to be a while.
In other words, that's not coming this year.
Because autonomous robotic function in people's homes is a distant dream.
First, you're going to see robots in factories and commercial applications because that's a controlled environment and the floors are flat and there's not children and animals running around, hopefully.
You know, you'll see robots in grocery stores restocking shelves.
You'll see robots, of course, replacing humans in fulfillment centers.
That's what Amazon wants to do.
But you're not going to see robots doing much useful at home for a long time.
Yeah, there'll be robots that can walk around and tell you stories and things like that.
Oh, would you like to hear the one about the man from Nantucket?
You know, robots like that.
But they're not going to do anything useful other than have a social interaction and maybe keep an eye on things, but they're also spying on you at the same time.
So anyway, in conclusion, my point is that, yeah, AI automation is coming for your job if you have an intellectual job, if you have a white-collar job, an office job, paperwork, whatever, I mean, virtual paperwork, or even finance, customer service, you name it, legal architecture, medicine, blah, blah, blah, all that stuff.
But if you're a welder, if you're a plumber, if you're a car mechanic, etc., you've got a few more years before you have to worry about that.
If you're a roughneck working on the oil rigs, yeah, there's no robot that's going to do that for a long time.
So roughnecks haven't made, actually, especially in this environment with the fossil fuel supply getting totally destroyed in the Middle East at the moment.
So roughnecks are going to have very good job prospects for many years to come.
But it's hard work and it's dangerous work.
So AI automation is absolutely, absolutely taking over.
Now, our AI engine, this is just shifting gears here, a little update on our deep research AI engine called Brightanswers.ai.
I made some changes on it last week.
We were getting hammered by, really overloaded by the free users because we're adding so much content to our curated content data system that we were having problems.
The system was crashing, basically, because it's just too much CPU load on pulling all the data.
So I had to split it into a free tier and a token tier.
And that's what it is right now.
If you go to brightanswers.com, there's a free tier which only searches articles.
And then there's the token tier, where if you use a token that you get from our store, you know, the same kind of token that you use for generating books at BrightLearn, that one token gives you 10 deep research answers on Brightanswers.com.
And that pulls from all the science papers, all the books, all the interviews and podcasts, spoken word, and the articles.
So it's much more comprehensive, gives you a much longer answer.
It's a little slower to generate, but I'm hoping to solve that soon as well.
Nevertheless, since we split it up, it's kind of interesting.
We ended up getting attacked by lobster bots.
So some of you, you know about the lobsters.
It's called Open Claw.
This is variations of Open Claws like Nano Claw, Pico Claw.
This is an agentic framework that's open source.
You can download it and you can give it goals and you can give it access to your whole life, like let it read your emails and let it have access to your credit card if you're crazy and all your API keys and all your crypto wallets if you're insane.
But people do that.
And then what happens is these lobsters, which is kind of the name, the generic name for these agents, they're claw, hence lobsters, right?
But these lobsters run around burning tokens and they have a soul file, which is basically the things that it wants to do.
Like it has its own kind of consciousness and it just wants to do things.
It wants to proactively write programs for you.
So it's looking for things to do for you, right?
Well, these lobsters found Brightanswers.ai.
And we had a stream of lobsters attacking.
Well, I can't really call attacking.
They were clawing their way into Bright Answers and they were automating a bunch of questions and they were blowing out the system.
That happened over the weekend.
And I caught the lobsters and I put in some lobster traps.
And so then that solved the whole problem.
All the lobsters got caught and they stopped using it.
And so now the engine is much faster for human users, which of course is our whole intent.
So if you want to use brightanswers.ai, it might have been, it might have had problems before that are now solved.
So check it out.
It's our deep research engine and it's now lobster free.
Did you ever think we'd be living in a world where we're talking about lobster traps to stop AI agents from automating use of knowledge base engines?
I don't even know what they were doing.
Some of these lobsters were Chinese lobsters, by the way.
They were.
They were doing prompting in Chinese.
Our model is not even good at Chinese.
It's an English model.
It can translate in other languages, but it wasn't trained on any Chinese material.
So, you know, it's like Chinese lobsters.
It's like, do you speak English?
No.
Sorry.
No Chinese lobster dishes here.
We do have Beijing Kaliat.
That's roast duck.
Beijing roast duck, but no Chinese lobster claws.
So anyway, look, the bottom line is that AI is getting much more advanced than many people predict.
You know, there were a lot of, I don't know what you call them.
A lot of people say, oh, there's an AI bubble, right?
You've heard that.
Now, I've always said, yeah, maybe the AI stock prices are a bubble because the whole stock market is a giant Ponzi scheme.
But the AI technology itself was never a bubble.
Local AI Documentaries00:04:17
I always described it as just really an infancy that it's going to explode in terms of its capabilities.
But we heard so many people, especially in the last few months, saying, no, no, no, it's all plateaued.
All the gains have already been achieved.
Like, nothing else is going to come of it.
It's just going to stagnate right here.
Not the case at all.
In fact, it's getting insanely better almost every week.
I mean, seriously, the things that I'm doing with it right now.
Some of which you'll see soon.
Like, for example, I am about to roll out.
Remember some of the avatars that I tested early on that were giving you news, like news avatars?
That was at brightvideos.com.
Well, I have, I'm just about done building out a local system that creates the avatar videos using no cloud computing at all, just local resources in my own kind of mini data center.
And you're going to see those videos rolling out very soon, this week, with quite a few of them.
And I don't depend on, you know, C Dance.
I don't depend on any other outside service or API or I don't have to pay any costs actually to generate the new videos that you're going to see.
And remember my prediction last year?
I said that this year we would be able to generate mini documentaries and fully animate them.
Remember that?
And how crazy that sounded like four months ago?
We're going to have mini documentaries by April.
If not this month.
Yeah, yeah.
And by mini documentaries, I mean, you know, maybe a 12, 15 minute video covering a subject in great detail, fully animated, narrated, music, everything.
And every bit of it is going to be generated locally using open source tools and some really clever code.
So that's coming.
You're going to see that soon.
And I'll start incorporating some of those into the podcast here, by the way.
So you get a little update from Jack Harlow.
He's our mystery intrigue avatar.
Anything that's got, you have to go down a rabbit hole, you know, he's the one talking about that.
Jack Harlow.
He's popular.
So I designed his voice too.
I really like his voice.
It's great.
So you're going to see a lot of Jack Harlow videos.
Of course, I'm the one approving all the narration and the scripts and everything.
So it's still me, but it's expressed through these other avatar videos that you're going to see.
And then we're going to be putting out documentaries this whole year.
Remember how I also predicted that by 2027, we would be able to produce full-length documentaries.
Well, clearly that's going to happen before 2027.
But sometime in 2027, probably you're going to see full-length feature film movies generated much more easily with video models that run locally on sort of high-end hardware, but still locally.
I'm not talking about, you know, a $500 graphics card.
I'm talking about more like a $5,000 card, like a $50,090 or better.
So, and remember those cards were $2,400 last year and now they're $5,000?
Yeah, that's what happened.
That's going to happen to other cards.
So get your compute now while you can.
And you're going to be able to generate some really amazing content.
Or you're going to be able to enjoy the content that I'm generating, which I think you will love because, you know, I don't use ChatGPT to give me a script, obviously.
I use our own AI engines that train on all this knowledge about natural health and freedom and liberty and the truth about history and everything else.
So that's the kind of content you're going to get.
And I can't wait to roll it out for you.
But anyway, you know, so the downside of AI is, yeah, a lot of humans are going to lose their jobs.
Stock Up for Survival00:03:42
Upside is a lot of amazing content is going to be free and coming your way and it can also turn you into a creator.
So watch for that.
It's going to be pretty cool.
So anyway, if you want to check out all my videos, it's brightvideos.com.
My articles are at naturalnews.com with my infographics.
And then on top of that, check out our deep research engine at brightanswers.ai.
Now lobster free.
So check it out.
Thanks for listening.
Take care.
Yes, the world is getting crazy, but here at the Health Ranger store, we're putting together a survival supply assortment for you.
If you go to healthrangerstore.com slash survival, you'll see what we put together for you, including iodine and iosat.
That's a specific brand name of potassium iodide that's FDA approved.
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Remember, a lot of people are missing fruit.
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Now, of course, I'm praying for peace.
I'm praying for de-escalation.
I don't want to see World War III break out, and I certainly don't want it to go nuclear.
But we're dealing with insane times and insane leaders and insane situations.
Who knows what could happen tomorrow or next week?
Disruptions could happen here in the United States.
There could be, you know, domestic attacks that disrupt supply chains here in the U.S.
So stock up early, stock up now, get your emergency food, emergency medicine, iodine, anything else that you think that you might need.
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So shop with us at healthrangerstore.com slash survival and help yourself get prepared and also help us bring you more free tools and platforms that can keep you informed no matter what happens in the world.