GPT-5 is the JOB KILLER! Millions Set to Lose Everything!

So that was a recent statement that was in some controversy because it's a statement that means this year is probably going to be the craziest year in AI so far and probably every year is going to be after that. But this one's pretty crazy. So you can see right here that someone is claiming that Dan Schulman, the former PayPal CEO, was regarding and talking about the impact of AI and stated that GPT5 will be a freak out moment and that 80% of the jobs out there will be reduced 80% in scope. And this is a pretty, pretty bold claim with some pretty wide reaching implications for the entire industry. And whilst the clip doesn't actually state that GPT5 will be a freak out moment, what I'm guessing happened is that he stated that and then he started recording this. So take a listen to this.

35% of their org will go away and that that. So think about that. That's gigantic. If you're already using Kodi Code Assist or Code Whisperer with your developers right now, many of you are, you're already seeing a 15 to 30.

Now, whilst this honestly was quite a terrible clip and it wasn't that great, I think that this clip does have a lot of merit because I do think that if GPT5 is even as a fraction as people claim it to be, and when I say as people claim it to be, I'm currently regarding to the current members of OpenAI, including Sam Altman and the VP of Products. I'm not sure about his name, but I'll include a clip of him. I just can't remember off the top of my head, but they're basically stating that GPT4 is absolutely useless. It's dumb, it's awful. And for someone who admires GPT4 and for someone who uses it over the other states of the art models and uses it on a consistent basis, for someone to state that such an amazing tool is awful really means that our perception of what is great is going to be changed monumentally. Now let's actually really, really analyze this clip. Okay? GPT5 is going to be a freak out moment, we've analyzed that. But 80% of the jobs out there will be reduced 80% in scope. Now the thing you need to know is that not every job is related to AI. So this is a bit of an exaggeration but. But this does probably impact the jobs that are on a computer. And I'm guessing that this is referring to agents which we will dive into later. Now there was also another rumor that I'd love to discuss. And whilst this might be a rumor, I don't think this is truly crazy. So there's a third hand rumor going on that Sam Altman thinks GPT 4.5 will automate 100 million jobs globally. Okay. And I'm going to break down this statement, okay, so just bear with me because I know that there are some crazy, crazy rumors going on, but I think this was before the announcement of GPT5. But I'm guessing that these were tech whisperers or tech whisperers from what people heard Sam Altman has stated. So the statement discusses the prediction and here's a critical analysis of the statement. So the first thing that we have to think about is the magnitude of the impact. The prediction that GPT 4.5 could impact 100 million jobs globally does represent a significant impact, suggesting a transformative effect of this technology on the job market. And this number, which constitutes 3% of the roughly 3 billion global workforce, highlights the potential scale of disruption caused by advancements in artificial intelligence, which would be pretty crazy. Okay? And the timeframe for impact is actually quite conservative. The statement posts that 0.5% of jobs would be automated annually over seven years. And this gradual implementation actually suggests a more manageable transition for the global economy compared to immediate large scale job displacements compared to immediate large scale job displacement. And it allows for labor markets to adjust, for retraining programs to be implemented, and of course, for potentially new job roles to emerge that are actually complementary to this technology. Now here are some assumptions. The assumptions that 3% of all jobs can be automated may underestimate or overestimate the true capabilities of GPT. It actually assumes uniform applicability across various sectors, which might not account for significant differences in the complexity and automation readiness of jobs and base the capabilities attributed to a version GPT 4.5 or GPT 5, which is hypothetical and not publicly described in detail. Therefore, the estimate might not fully align with the technological capabilities or limitations. Although we do know that the labor market, if presented with a model that does address some of the inefficiencies of the previous ones, would certainly change. Now, the impact on the labor market is probably going to be negative. The negative impacts could involve job displacement, particularly in sectors that are highly susceptible to automation. And this could actually exacerbate inequalities if messes such as retraining or redistribution are not effectively and swiftly implemented. Now this rumor, of course, it is a lack of credible source and the statement is presented as a thirdhand rumor without citing any reliable sources or evidence to support this claim. And of course automating 100 million jobs globally would be an enormous unprecedented impact for a single AI system. And of course with this fake timeline, it means that this probably isn't going to happen, but it's still something that I do think to continue there because it's not something that I haven't seen just once. I've seen it a few times floating around the industry. And OpenAI actually also did do a research paper in which they actually spoke about the look at the labor market impact potential of large language models. And this was released in August 2022 or 2023 where they essentially investigate the potential impact of LLMs. And it's pretty fascinating. They state that, you know, our findings reveal that around 80% of the US workforce could have at least 10% of their work tasks affected by the introduction of LMS, while approximately 19% of workers may see at least 50% of their tasks impacted. And they state that we do not make predictions about the development or adoption timeline of such LLMs. And this spans all wage levels with high income jobs potentially facing greater exposure to LLM capabilities and LLM powered software. And you can see here that it says that we conclude that LLMs such as GPTs exhibit traits of general purpose technologies, indicating that they could have considerable economic, social and policy implications. Meaning that we are about to enter a paradigm where every single AI release could potentially impact the entire labor market in a way which requires different policies to be made, different social implications, and of course the labor market fundamentally changing. So there are definitely some crazy, crazy statistics here that I think whilst yes, they are conservative for the paper, maybe at the time of writing them, they didn't take into account some of the things like GPT5 and just how good that system would be. Because it was only recently after the system finished training that we did get clips from Sam Altman stating just how crazy the comparison is between GPT4 to GPT5. Now, in addition, Sam Altman did say that jobs are definitely going away full stop. You can see here that Altman was blunt about AI's impact on employment and jobs are definitely going away full stop. He does note we'll often replace these jobs with new better ones. But, says Rota, we're being unrealistic if we pretend this isn't going to affect things. He says the probability is greater than ever that we'll see a massive impact on jobs in the next two to three years. So 2025, 2026, when GPT5 and GPT6 are here, that's when we're truly going to see massive changes in the labor market due to the upskilling, the reskilling, the retraining, and of course the changes in terms of job demands, job placements. So of course he says what to do about it? It's time to stop ignoring AI's possible impact on employment. We're already concerned about AI's potential power. Yet it's still very, very early. And to date, AI models have largely been trained on text and they are now quickly learning from other types of multimodal media like code, images, videos, audio and more. And this will very likely rapidly result in significantly more powerful and capable AI systems. So overall, Sam Altman clearly has already stated here, even if you don't believe the fact that, you know, he said that GPT 5 or GPT 4.5, and we do know now that it's GPT 5 is going to automate 100 million jobs globally. We do know, okay, the Sam Altman has said that jobs are definitely going to go away, full stop. So it's important to understand that that takeaway is there. Now. If you're wondering how is this all going to change? Basically OpenAI has shifted their focus, OpenAI has shifted their battleground to software that operates on devices. Essentially, OpenAI are basically just trying to focus on agents. And this is because when we saw the Devon demo, we all realized how crazy it would be if this was something that was actually effective, something that actually worked, and not just a 13.86% in terms of the SWE bench, but imagine it got to 100%. How would that fundamentally change things? If it could really do any software engineering tasks to browsing and like any task that a standard software engineer could do. Now the thing about agencies, and I think people did really forget this because even if you think GPT5 won't cause a freakout moment, change is coming. I think the next release will be the most impactful release ever. And I'm not just stating that. Don't take it from me. Take a look at this. So it says OpenAI's plans for an agent that takes power over people's computers will require the user's permission to work, to operate in a personalized fashion and respond quickly, the way Apple Siri does on the iPhone. The prospective OpenAI computer using Agent may need to be partly stored on the user's devices. The company may also need to get permission from users to train the software on personal data such as individuals, emails and contacts as well. As information stored in business apps like Word and Google Docs. That isn't the interesting part. The interesting part is on this slide. So this is where we have a statement from someone that works at OpenAI. OpenAI's Vice President of Product remarked on Twitter that that the product Newhouse described will change everything. So you can see here that this is going to be the future of AI models. And this is basically GPT5. So this is from a secret presentation. Do apologize if you've never seen this before, but this is pretty crazy. So we've got one multimodality, two. Reasoning, three. Personalization, four. Reliability and number five, being AI agents. And the reason this is so crazy is because I think agents is being left for GPT6. Because I'm sure when I check the trademark GPT6 and GPT7, you could see that there were artificial intelligence agents. So I don't think we're going to get agents yet. But I think if we take a look at the fact that multimodality means that we're getting an AI system able to handle many different forms of content like images and video. And I think right now OpenAI are working on scaling up their video technology because Google Gemini, they really did make some breakthroughs in terms of how much video they can analyze. So I'm guessing that they want their systems to be state of the art. That might be a bit of the reason for the delay. And of course the reasoning. I think this is out of all of these, I think the reasoning is probably going to be the biggest thing because it means that these AI systems are going to be a lot smarter. And if these AI systems are a lot smarter, it means that they do have a lot of bigger applications because it then means that they're going to be in newer industries where they weren't before, which means that we're going to see more widespread adoption. And I think reasoning and personalization and reliability, personalization for the average person, because you use it on a day to day basis, you want to have the AI system to know exactly what you do on a day to day basis. But I think the reliability and the reasoning are probably going to be two of the most important things. Because reliability is something that if you're working with a giant company at scale, you don't want your, you know, AI system to get a few figures wrong. You don't want it to recall an incorrect value because you can lose money. And of course you want it to be smart enough to be able to reason and of course correct itself. And be able to be 100% accurate. So I think like they've stated, you know, this next frontier with all of these capabilities, you know, right here that we're all seeing, this is truly, truly going to change everything. And I think that's why maybe he referred to it as a freakout moment. Because a lot of people just think that with GBT5, text is going to get better, text is going to get longer, it's probably going to get faster, but everything changes once you have multimodality, reasoning, personalization and reliability. Because I think that's when we truly, truly see just how crazy these models are. And the fact that they've said that these models are dumb. I mean, we're truly about to see the comparison from GPT5 to GPT4. So with that being said, now, in a world of all this disruption from artificial intelligence, you actually do need to be doing some kind of preparation. That's why I have my private AGI readiness community where you can get exclusive early access to my latest videos, exclusive in depth reports on how you can actually protect your career from automation, making smart AI related investments, and implementing my proven framework to make you and your family more resilient during the AGI transition. Many people are already enjoying the results and if you don't want to get left behind, you can click the link in the description to join today.