#26 How to turn chances into changes in the age of AI

Right now, like literally right at this second, before a company even hits publish on a new job listing, there's this, this hidden step taking place. Oh, absolutely. In HR departments, boardrooms. Everywhere. Yeah, everywhere across the globe. And they're asking one very specific, very fundamental question, which is, can an algorithm or an AI agent just do this instead? Right. And if the answer is yes, then that human job, it just simply never exists. Which is pretty terrifying. It is a harsh reality check, for sure. I mean, we're looking at a professional landscape that is fundamentally rewriting its own rules while we are still trying to play the game. Exactly. The ground isn't just shifting anymore. It has completely opened up beneath us. And that is exactly why we're doing this deep dive today. We are digging into the work of Professor Dr. Yasmin Weiss. Yes. She is genuinely one of the leading experts globally when it comes to AI at work. I mean, she's a top tier strategist, a professor of AI, and her work provides a incredible blueprint for what she calls turning changes into chances, which is such an important mindset shift right now. Right. Because whether you as the listener are, you know, fresh out of school or you're a seasoned veteran with 20 years under your belt, your first instinct when you hear about all this is probably just pure anxiety. Naturally. Yeah. But Dr. Weiss isn't about fearing artificial intelligence. She is completely focused on how you systematically integrate it into your professional DNA. She calls it building the skill stack of the future. I love that phrase. And, you know, to really understand why that skill stack is so vital, we first have to kind of look at the environment we're operating in right now. The job market. Exactly. Dr. Weiss describes the current job market is crazy. And honestly, the data backs her up completely on that. It really does, because we're seeing these massive, sweeping layoffs in certain sectors. Right. But then at the exact same time, there's this desperate shortage of skilled workers in other areas. It feels completely paradoxical. It really does. I mean, how can companies be firing thousands of people, but then simultaneously going out and claiming they can't find anyone to hire? Well, the paradox kind of resolves itself when you look at the underlying mechanics. It's not a shortage of humans. It's a mismatch of capabilities. Right. Companies are shedding roles based on outdated paradigms, while they're just desperately hunting for people who understand the new ones. I mean, for decades, the ultimate goal was the linear career. Oh, yeah, the ladder. Right, the ladder. You followed a predictable track. You accumulated senior, and then that seniority was your shield against any market turbulence. But that model is dead. Entirely dead. Yeah. It's like the old way was like riding a train on pre laid tracks. You just sat there and it took you where you needed to go. Right. But now it's more like. Well, it's like you're falling through the air and having to snap Lego pieces together to build a glider on the way down. That is a wild visual, but yeah, that's exactly it. Dr. Weiss calls it the Mosaic career, where it's no longer climbing a ladder, but more like rock climbing. Oh. The rock climbing analogy hits the nail on the head because it highlights the physical, like real time agility that's required now. Right. Sometimes you have to move sideways or even step down to a lower foothold just to find a completely new route to the top. Exactly. It requires an extreme level of modularity. You are constantly arranging and rearranging your skills based on what the rock face or, you know, the market demands in that exact moment. And it destroys that illusion of security from change. It really does. Yeah. We spent the whole 20th century trying to build careers that were insulated from disruption. But Dr. Weiss argues that today your only safety net is finding security and change. Security and change. Wow. Your capacity to adapt, literally. Is your job security now, which, you know, that begs the question of how anyone actually learns to do that. Because if the market requires this rapid, real time adaptability, traditional learning frameworks are just painfully slow. Oh, way too slow. Like sitting in a lecture hall for four years learning from a static textbook. It just doesn't compute anymore. No, it doesn't. And Dr. Weiss recognized this immediately. So she came up with this genuinely radical solution for education. She calls it the flying classroom, or Flagander Hersall in German. Right. And what she did is she physically removed her students from the traditional university setting. She took them directly into the R and D labs of Google and Intrinsic in Munich. Which is incredible. It is. The Guidant philosophy here is that teaching has to happen at the exact source of the innovation. You can't teach the future of work from a chalkboard. No, you definitely can't. And what they were looking at in those labs wasn't just, you know, generating some text or making pretty images. They were engaging deeply with embodied AI. Right. Which is a massive leap from what most people interact with on a daily basis. Yeah, it's a profound shift. Because embodied AI is where artificial intelligence actually meets robotics. Exactly. It's AI stepping out of the browser window and into physical space. Right. So instead of a large language Model. Just predicting the next word in a sentence. And embodied AI is predicting the physics of the real world. Yeah, it's figuring out how much pressure a robotic arm needs to apply to pick up a fragile glass without shattering it. Or how to safely navigate a chaotic warehouse floor. Right. And Dr. Weiss exposing her students to this. And she has future stops planned at the BMW group, SAP, Microsoft. It forces them to see that AI is going to do physical labor, too, not just cognitive labor. Okay, but I have to interrupt here for a second. Sure. Because something doesn't totally add up for me. I mean, it sounds incredible to take students to Google to see things being built today. It does. But doesn't this imply that traditional curriculums, or even the syllabus you might write for that specific class are functionally obsolete by the time the ink dries? Yes, absolutely. So how is a listener supposed to keep up if they don't have access to an R and D lab in Munich? Like, how do you manage that? Adaptation speed. Okay, so that is the exact trap most people fall into. And it's actually the entire crux of Dr. Weiss's argument. Okay. The speed of technological change is vastly outpacing human adaptability. If you rely on a printed textbook about AI, you're already six months behind the day it's published. So what's the solution? Her philosophy flips the script. AI isn't just the subject you're trying to learn. It actually has to become the enabler of the learning itself. Wait, so you aren't just learning about the technology, you're sort of tethering yourself to it so it pulls you forward? Precisely. You use the AI to parse the new information and synthesize the updates for you. The AI becomes your personalized, infinitely patient tutor. Oh, that makes sense. Right? Like, if a new software update drops, you don't sit around waiting for a corporate training manual. You use an AI agent to break down the documentation and teach you how to use it in real time. Wow. But that requires a massive shift in how we view our daily workflows, which, actually, that leads directly into another core concept from Dr. Weiss. Team dynamic. Exactly. Fundamentally changing your definition of what a team actually is. Yeah, she introduces this concept called Dobelti teamfeght, which translates to double team capability. Right, and so think about your standard performance review listener. Historically, you get graded on teamwork, right? Like how you handle conflict with the manager or how you collaborate with folks in another department. But under this new framework, that grade won't just be about humans. No, it's going to heavily reflect how effectively you collaborate with your digital agents. You're managing human Dynamics and Digital dynamics side by side. Exactly. A modern worker has to know how to prompt a synthetic employee, how to delegate specific tasks to an AI agent, how to. And then how to merge that output with the creative ideas of their human colleagues. Because Dr. Weiss's ultimate goal is to create the first generation of AI natives. Right. And for an AI native, the ultimate meta competence is literally just learning how to learn. Because if you have that meta skill, the specific tool doesn't matter anymore. Not at all. If a revolutionary new platform launches tomorrow, an AI native doesn't panic. They don't freeze up. They just apply their learning framework to master it alongside their digital agents. But, you know, it's one thing to say, hey, learn to work with AI, but sitting at a desk on a Monday morning, what does that actually look like in practice? Right, the execution. Yeah. Thankfully, Dr. Weiss lays out a highly specific, practical toolkit to build this skill stack of the future. So let's dig into the actual mechanics of these tools. Let's do it. Starting with what she calls prompting, like a pro, which, crucially, she strictly pairs with critical thinking. Yes, that pairing is everything. We really have to move past the idea that prompting is just typing a question into a search bar like it's 2005. It's so much more than that. Interacting with advanced AI requires setting deep context, defining constraints, assigning Personas. But the critical thinking piece is what actually makes it a professional skill. Right, because an AI will confidently give you a completely fabricated answer. Hallucination. Exactly. So you cannot blindly trust the output. You have to. To interrogate the machine. You have to ask things like, what are the underlying assumptions in this output? Or play devil's advocate against your own recommendation. You're actively sparring with it. Yes. Sparring is the perfect word. Which ties right into the next major tool. She focuses on using platforms like NotebookLM as a second brain. The second brain concept is incredibly powerful, but honestly, it's often misunderstood as just being like a fancy digital filing cabinet. Right. Like, how is it any different from just having a really organized Dropbox folder with all my PDFs sorted into subfolders? Okay, so a traditional folder relies entirely on you remembering where you put something and what it relates to. Sure, but A platform like NotebookLM uses Vector databases and semantic search to understand the actual meaning of your documents. Meaning, not just keywords. Exactly. You can upload 50 dense research papers, a bunch of meeting transcripts, financial reports, and the AI synthesizes all of it. So you don't search for a keyword? No. You ask the second brain a complex question, like, what is the contradictory theme regarding supply chain vulnerabilities across all these documents? And it just knows. It connects disparate ideas that a human mind might take weeks to cross reference. It acts as an interactive extension of your own memory. That is wild. And then the toolkit goes even further with something called Vibe coding. Oh, Vibe coding. Yes. Using tools like Canva and Gemini. We are talking about genuine no code programming. This is where the barriers to entry just completely collapse. Vibe coding is the fusion of your deep human domain knowledge with the machine's programming ability. Right. So to put a real world scenario to this for the listener, imagine you're a logistics manager. Okay. You know absolutely nothing about Python or JavaScript, but you know exactly how a two day delay at a specific port impacts your warehouse inventory and your delivery schedule. Right? Now, under the old model, you'd have to write up this massive brief, hand it to a software engineering team, and then basically wait six months for them to build you a dashboard. But with Vibe coding, you just use plain English. Yep. You tell the AI, build me a web application that tracks these specific port delays, applies my inventory formula, and flags bottlenecks in red. You're describing the logic and the, well, the vibe of what you need, and the AI writes the underlying code. Your human expertise in logistics is driving the creation of software. And Dr. Weiss points out that this toolkit isn't just for technical tasks either. No, no. It extends to deep human communication. She actively advocates using AI as a coach to optimize rhetoric and speaking excellence. Wait, like having an AI analyze your speech patterns? Yes. You upload audio or video of a presentation you gave, and you have the AI analyze your pacing, your use of filler words, your tonal variation. It analyzes how clearly you're articulating complex points. It provides this objective, completely private feedback to make you a more compelling human communicator. Okay, hang on. I have to stop and push back on all of this. Okay, go for it. Because there is a very obvious risk here that I think a lot of people are worried about. Deskilling. Yes, deskilling. If I'm offloading my coding to an AI and I'm letting a second brain synthesize all my reading material, and I'm using a digital sparring partner to do my brainstorming, aren't I just making myself stupid over time? Is it the valid fear, like, if I offload all my cognitive friction, don't I lose the ability to actually think deeply? Deskilling seems like a massive threat here. And deskilling is absolutely a threat. But only if you use AI purely as a crutch to avoid work. Okay, clarify that. If you just copy and paste the very first thing the machine spits out without thinking, then yes, your cognitive muscles will atrophy. But Dr. Weiss explicitly designs this skill stack around the concept of augmented intelligence. Okay, so it's about shifting the cognitive load, not abandoning it. Precisely that. Think of it as cognitive offloading to elevate your strategic view. Okay. Like when a mathematician uses a calculator to do long division, they aren't becoming dumber. Right. They're freeing up their brain to solve complex calculus. By letting the AI handle the repetitive processing, the data synthesis and the basic coding, your human brain can focus on high level strategy, cross disciplinary innovation. Empathy. Exactly. You're giving your mind a power suit so it can lift heavier strategic weights. So if you can master that, if you can actually build this augmented intelligence and avoid that deskilling trap, we arrive at the core payoff of Dr. Weiss's entire philosophy. Which is huge. Right. While this massive transformation causes fear for people clinging to the old ways, for the adaptable listener, this is actually a historic, unprecedented cheat code for career advancement. The value system of the corporate world has entirely flipped. It really has completely flipped. Historically, experience was the most valuable currency. Right. If you had 20 years doing a specific job, you'd emote around your career, Nobody could touch you. But today, pure experience is losing its relative dominance, because what good is 20 years of experience in a software ecosystem that an AI agent just rendered completely obsolete yesterday? It's a depreciating asset. It really is. Yeah. What is massively gaining value now is learnability. Learnability? Yes. Your proven capacity to absorb new paradigms and implement new tools quickly. Because of this shift, entirely new roles are emerging from thin air. We're seeing job titles that literally did not exist 24 months ago. Right. Prompt engineers, human AI collaboration experts, AI agent orchestrators. And this is where it gets incredibly exciting for you, the listener, because these roles are brand new. There are no classic career paths or formal degrees yet. Right. The old gatekeepers have no power here. There is no one on Earth with 10 years of experience in AI agent orchestration. Right. There is no Ivy league degree from 2015 for vibe coding. So it means less competition. Exactly. The permeability for lateral entrance people making radical career changes is higher than it has ever been in modern history. The playing field has been Temporarily leveled. That is so empowering. If your learnability is off the charts, you can bypass the traditional gatekeepers who used to demand, you know, a specific pedigree just to get an interview. You can leapfrog the old guard entirely. Yeah. And that is the ultimate takeaway from Dr. Weiss's blueprint. By building this skill stack of the future, you aren't just doing a defensive maneuver to keep from getting fired. It is an offensive strategy. You are actively shaping a new world of work that integrates human ingenuity with robotic and AI capabilities. It's going to look entirely different from anything we've ever known. So just to kind of recap this incredible journey we've been on today, we've moved past the confusing, paradoxical job market. We adopted the flying classroom mindset. We mastered double team capability, and we leveraged the new toolkit, the skill stack, to capitalize on this historic career window. It's a lot to take in, but it's so actionable. It really is. And, you know. At the end of that incredible week in the AI labs in Munich, Dr. Weiss asked her students what resonated with them the most after seeing the future up close. Yeah. And they overwhelmingly pointed to a statement made by Wieland Holfelder. He's a top engineering executive at Google. Right. And it is a stark assessment of the reality we are entering. He told them, people who smartly use AI will replace those who don't. Companies who smartly use AI will replace those who don't. The blueprint is gone. The ladder has been ticked away, and we are all on the rock face now. We really are. So we want to leave you, the listener, with this one final lingering question to mull over. Okay. If pure learnability is now more valuable than decades of traditional experience, what is the one uniquely human trait or passion you possess right now that an AI could never replicate? And how can you start using an AI tomorrow to amplify that specific trait to the world?