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You are being lied to, yes, that's like some, it's not a conspiracy, but press releases,
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yeah, I think they're lying to all of us. The headlines designed to make us feel something
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before we even think about it. Men is laying off 15,000 people because artificial intelligence
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made them unnecessary. It's AI's fault. This is the headline everyone everywhere is seeing
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this week. Now CNBC, Rooters, Fox Business, TechCrunch, AI replaced these workers. The future's
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here. Now, be afraid or get on board. Who benefits from you believing that? Well, meta does.
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And this is the interesting part. So if the narrative is we're cutting 20% of our workforce
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because AI makes us more efficient, that tells Wall Street we're disciplined, forward thinking,
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and leaning in to the most valuable technology on earth. So the stock was up 3% on the news of
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human beings being laid off from their jobs. Awesome, 3%. On the news that 15,000 people are about
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to lose their paycheck. So it's a benefit, I guess. Their health insurance, well, their ability
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to take their kid to the doctor without doing math first. And somebody's portfolio went up 3%.
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Investors here, AI and they hear margins, efficiency, future revenue, meta has every incentive
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to frame every single cut as being AI driven. Even the real reason is something less exciting.
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So let's look at what the data actually says, meta went from about 58,000 employees in early 2020
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to nearly 87,000 by late 2022. Well, what happened back then? 50% increase in head count in two
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years during a pandemic fueled growth spike that every tech company wrote. Then the growth slowed,
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add revenue, depth, Zuckerberg announced the year of efficiency in late 2022. And he cut 11,000
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than 10,000 more a few months later. The city I grew up in had 30,000. I mean, I can't imagine that.
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That was 2022 and 2023. That's before GPT-5, before agents, before any of the AI tools that supposedly
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make employees unnecessary existed in their current form. If they were already bloated, if they
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were already bloated enough to fire 21,000 people before the AI wave, is it really AI driving
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this round? Or is it a correction that started years ago? And AI is the story that makes it sound
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like a strategy, a strategy instead of a cleanup. So what happens if you flip it? What if AI is not
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replacing 15,000, 15,000 meta employees? What if the company overhired? What if it needs to cut cost
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to fund the 135 billion dollars in AI infrastructure? And AI is the most investor-friendly excuse available?
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There you go. It doesn't change the fact that people lost their jobs, but it changes what the
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headline means for the rest of us. If AI truly replaced those jobs, the message is fear. Machines
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are coming. Nothing you can do. If it is corporate restructuring with AI as the costume, the message,
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well, it's different. The real displacement has not fully started yet. There's still time.
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But the window's closing. Here's the number nobody is showing you. Challenge your gray and Christmas
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tracks layoffs. In the first 74 days of 2026, 55,000 tech jobs were cut across 166 companies.
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Only 12,000 cited AI as a factor. That means 43,000 job cuts had nothing to do with artificial
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intelligence. But every headline leads with AI because, well, that's what gets clicks. And what
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and that is what gets the stock to move. AI is absolutely changing how companies operate.
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AI is being used as a narrative weapon to make layoffs look strategic instead of desperate.
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Both things are true at the same time. Who would have thought the people making these decisions are
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not the ones losing sleep over it? They're set. They have nothing to worry about. They have people
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calling them up saying, hey, I got this great idea. Give me some money and I'll make you even more
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money on top of that. So the 15,000 people clearing out their deaths are the ones doing the math
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on how long their savings are going to last. So hold all of that in your head. Do not collapse into
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panic or complacency or throw both out and come to your own conclusion. That's the whole point.
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So what's happening next? GPT 5.4 is smarter than humans. Open AI launched it March 5th.
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Million token contacts window. It's a lot of stuff. You can jam in there.
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Native computers, scored 75% on the OSW world benchmark, which simulates real desktop productivity
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tests, OSW. Human baseline on that test is 72.4. 75% humans are 72.4. Machine meets human.
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What is OSW benchmark actually testing though? Whether the model can compete, complete specific
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computer tasks, click this button, navigate to this page, fill out this form, routine, repeatable
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structured. Now is that really intelligence or is that the digital equivalent of an assembly line?
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Nobody calls a robotic arm smarter than a human because it welds faster. What does 75% actually
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mean? The model failed 25% of the time on tests that humans only failed 27.6% of the time.
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Both scores are mediocre. The margin is 2.6 percentage points. And yes, AI is only going to be
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getting better from this point. But would you trust a system that fails one out of every four
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tasks to run your business unsupervised? Would you bet your rent on it? What is not being measured?
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Judgment isn't being measured. Context that shifts based on what the room feels like. The
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ability to know when the task itself is wrong and should not be completed. The model doesn't know
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why it's clicking the button. It just clicks the button slightly more often than the human does.
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GPT 5.4 is impressive. A million tokens of context is a genuine leap. Native
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computer use changes how agents work. 47% fewer tokens to solve the same problems. That's
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real efficiency. But the headline writes that a check that the technology cannot catch yet.
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The person who pairs their judgment with the machine speed is the one who's going to win.
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It's not the machine alone and it's not the human alone. And by the way, the people who work with
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their hands, the plumbers, the electricians, the welders, the ones who show up and solve problems
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in the physical world, they're going to be the last ones any of this touches.
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Interesting that nobody's talking about that as much as they probably should.
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Apple partnered with Google to use Gemini as the foundation for a completely rebuilt
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series. Thank God, series is going to get a better brain.
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Announced in January, supposed to ship an iOS 26.4 this month and didn't. Bloomberg says
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features pushed to iOS 26.5 in May or possibly iOS 27 in September. Apple promised a smarter
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series at WWDC in 2024. That's two years ago. They tried to do it on their own.
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Now they're going to throw Google into it. Google's got a lot of data. I mean, you look at
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what Google has done over the years as far as understanding us. Yeah, they got it.
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It's probably a very good bet. They paid Google a billion dollars a year because
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their own models weren't good enough. And now the Gemini-powered version is delayed.
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The technology they describe is real. The on-screen context awareness, multi-step tasks
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change, change from a single voice command. God, I'm not West Roth. And AI that sees your phone
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screen and acts on it. When it rolls out to 2.2 billion devices, it's going to be massive.
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But maybe do not make business decisions based on Apple's timeline. Make them based on what
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works right now. I mean, we're all waiting for Santa. He's just never getting here.
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Cloud GPT 5.4 Gemini through the API give you more capability today than any Siri update,
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well, for a while. The tools are already here. They're just not packaged in a way that a
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trillion dollar company can put a bow on and charge you for them yet. In video, yeah, here we go.
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Sorry about the frogs. Everyone focused on the new chips at GTC. Maybe that's exactly where
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they wanted you to be looking while they're over here. Jensen Huang launched Nemo Clown Agent
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Toolkit. A story. So a story. When I was a cop and we used to pull up on people and let's say we were,
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you know, they were holding drugs. Sometimes they would like, hey, how are you, officer? And then
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with the other hand, they would drop it or try to throw it in ditch it. So you really had to pay
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attention. Every time I watch people talking about artificial intelligence, whether they're trying
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to sell you something or trying to get you to follow them, whatever it means, it seems like
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some of it is a coordinated distraction. Some of it is some kind of pre-training that they've
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actually studied in order to deflect where your attention should be. Instead of having you ask
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those real questions, what the hell does this really mean? Who's saying it and what kind of response
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are feeling or emotion or are they trying to get me to use as a response to whatever it is they're
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saying? So Jensen Huang launched Nemo Clown and the agent tool kit. Open source software for
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building self-evolving enterprise agents. Self-evolving meaning the agents have proven themselves
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over time. Adobe Sales Force, SAP Cisco, Siemens are already building on it. Why would a company
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that prints money selling GPUs want to become a platform? Chip sales are cyclical. Every generation
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peaks in a decline. There's a particular shelf life or use life for all these things. So they
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constantly need to be replaced. Platforms, though, generate recurring revenue. If every enterprise runs
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their AI agents on Nvidia software, that is a subscription on top of hardware. Jensen doesn't
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need a new chip. He needs a mode that outlasts the chip cycle. That's a play worth understanding.
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Perplexly lost perplexity health this week. An health AI agent, nutrition, sleep, personalized
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insights. Is it a large language? Is is a large language modified to give you health advice?
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It can synthesize research faster than any doctor, but does it know you? It does not examine you,
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does not carry liability. And if it gets it wrong, you're the one in the waiting room figuring out
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how to pay for it. AI is going vertical, health, finance, legal, and of course, real estate.
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Every industry gets its own specialized agent. The ones built first and built responsibly are
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going to win. Opportunity for builders. Not a replacement for the professionals who carry the
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consequences when something goes wrong. There's got to be somebody to blame it on. The US passed
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the AI Accountability Act this month. Companies using AI for hiring, lending, health care, criminal
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justice now have to publish regular base bias audits. Washington State passed five AI bills.
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Disclosure requirements. Chatbot safety for kids. AI and health insurance decisions.
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Deep fake protections. Does regulation help or hurt? It creates compliance costs.
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The big companies absorb and small and struggle with. But if your solution is
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compliant and your competitors is not, that's a competitive advantage.
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Here's is what this week tells you when you strip it all back. Big tech is using AI as a narrative
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to justify cuts that we're going to be coming anyway. Some are real, many are not. AI models are
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faster at structured tasks, but they're not replacing human judgment. Apple keeps promising.
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Hasn't shipped yet. I'm sure they will. Just don't hold your breath too long.
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Nvidia is playing a longer game than anyone gives them credit for. AI health tools are coming,
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but they're not a replacement for the people who carry the consequences.
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Regulation is accelerating. Favors are prepared. None of this should be accepted to face value.
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Not from the headlines, not from the companies, not from me. If you're seeing things on mine and
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people are telling you news reports talking about what's happening in the Middle East,
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what's happening in your no neighborhood, what's happening somewhere. Pull back just a second
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and don't go all in on it because your emotions are valuable. I mean, you need to save some of
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that energy. It eats up a lot of brain power when you're sad or happy or excited about something.
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Pull back and kind of see what's happening. All right. You're not going to get this from the headlines,
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you're not going to get it from the companies, not from me. Think about it. We'll see you tomorrow.
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I appreciate you watching. I'm Connor with honor. Have a great day.