Welcome back to Geeks, Geezers, and Googlization. I'm Ira Wolf. Imagine this, it's 2038, you pull a dusty old smartphone from the back of a drawer, and your granddaughter stares at it like it's from the Stone Age. She can't believe you held this thing in your hands all day to poke at a glass rectangle just to get information and send a text. Everything you think is normal has an expiration date, but most of us keep doubling down on playbooks that the future will toss out with yesterday's trash. Today's episode is based on another one of my recent articles titled, Everything You Think is Normal Has an Expiration Date. So take a listen and ask yourself, what are we doing today that feels perfectly normal but will seem absurd in just 10 or 15 years?
Imagine it is the year 2038. Which really isn't that far away. Right, because it's just over a decade. So you're standing in your kitchen and you're holding this, like, dusty rectangle of glass and metal that you just fished out of the back of a junk drawer. Like an old relic. Exactly. And your 12-year-old granddaughter walks in, she stares at it, and she asks this just genuinely horrifying question. She goes, wait.
You actually had to use your hands to hold that thing all day. It's such a great visual. It really is. Welcome to today's deep dive, everybody. Today's mission is to unpack a profoundly unsettling but just fascinating article by Ira S. Wolf. From Never Normal News. Yeah, from Never Normal News. And it's titled, Everything You Think is Normal Has an Expiration Date. We are going to explore why clinging to our current definition of, you know, normal is actually a really dangerous trap. Extremely dangerous. And why we are biologically hardwired to defend these obsolete habits. Plus, why the tools and the workflows that you, the listener, are probably optimizing right this second. Are literally already dead. So...
Okay, let's unpack this, starting with a granddaughter in the kitchen. Yeah, so Wolf's Thought Experiment, it places us, like we said, just in 2038. Your granddaughter, she isn't looking at your old smartphone with any kind of reverence. Not at all. No, I mean, she is treating it like an archaeological artifact, like a piece of pottery. Right, like what is this primitive tool? Exactly. When you explain that you had to physically carry this, you know, fragile piece of glass with you everywhere, her reaction is just pure bewilderment. Because to her, it just makes no sense. Right, she asks if it, like, projected information into your field of vision. And you have to admit, well, no it didn't. It was just a screen. Yeah.
Then she asks if it just inherently knew what you needed before you asked for it. And again, you have to say no. Right, no. And finally, she asks how you actually controlled the thing. And you have to confess that you had to stare down at it and tap the glass, literally one finger at a time. Just peck away at it. I mean, her conclusion in the article is brilliant because it's really the only logical response a kid from the future could have. She just says,
That sounds exhausting. It does sound exhausting. It does. Stripped of all our modern familiarity, carrying this heavy, easily breakable rectangle that demands our constant physical and visual attention, it's objectively absurd. Highly absurd. It's like how we currently look at, I don't know, dragging a typewriter onto a commuter train or carrying a stack of floppy disks. But are we really going to look back at something as seamless as scrolling or opening an app to type in a destination as this exhausting, primitive task? What's fascinating here is the core mechanism of disruption. You see, Wolf points out that true disruption, it doesn't just iterate on a tool. Okay, what does it do?
It completely vaporizes the underlying assumptions that the tool was built upon in the first place. Like, we assume the future of the smartphone is just, you know, a thinner, faster smartphone. With a battery that finally lasts a whole week. Exactly. But the reality of disruption dictates that the smartphone is going to disappear entirely. Because the assumption that you even need a discrete physical device to bridge the physical and digital worlds, that's what's going to evaporate. Oh, wow. So you're talking about the shift to ambient computing. Precisely. The assumption that computing is this, like, event that you have to initiate by pulling the device out of your pocket. Yeah, to your granddaughter in 2038.
The idea that your personal memory, your finances, your health records, all your communication capabilities were physically trapped inside a little box. A box you had to plug into a wall twice a day. Right. It's laughable to her. To her being disconnected simply because you misplaced a hunk of metal, that's a bizarre primitive vulnerability. I mean, when you put it like that. Computing in her era is ambient. It just exists in the environment. It seamlessly interfaces with her continuously. It doesn't require holding anything at all.
That really reframes how I look at my own desk right now. I'm sitting here looking at a laptop, a phone, a tablet, and I'm feeling highly efficient. You feel like you're a command central. Exactly. But trying to optimize my life around these devices, it's sort of like trying to build a faster ship by perfecting the canvas sail right after the steam engine was invented. That is a perfect analogy. You're pouring all this energy into optimizing a mechanism that the new paradigm has already entirely bypassed. And that leads directly to Wolf's...
Central thesis. Because this thought experiment, it isn't just some fun exercise in futurism. Right. It is a diagnostic tool for understanding what we call the illusion of permanence. The illusion of permanence. Yeah, we have this fatal flaw when it comes to assessing our current reality. We consistently mistake the present for a permanent fixed state of affairs. When historically, if you look back, the present is always just a temporary face. But okay, here's where it gets really interesting. Because I'm looking around at the modern workforce, at you listening to this right now, and I have to challenge this premise just a bit. Okay, go for it. We are the generation that lived through the death of the dial-up modem. Right.
We watched Blockbuster get vaporized by streaming overnight. We've buried the CD-ROM, the fax machine, the flip phone. We know, we fundamentally know that technology dies rapidly. We've definitely seen the graveyard of gadgets. We've seen it. Yeah. So why is Wolf arguing that our blind spot is so massive today? Like if we know tech changes, why is our instinct still to just fiercely defend the present? Well, if we connect this to the bigger picture, it really comes down to a collision between systemic corporate inertia and honestly...
Human biology. Biology. How so? Neurologically, our brains operate on this predictive coding model. The brain conserves massive amounts of caloric energy by just predicting that Monday is going to look pretty much exactly like Sunday. Oh, I see. We crave continuity. We desperately crave it. Acknowledging that the foundational structures of your daily life are actively evaporating that requires an enormous, really uncomfortable expenditure of cognitive energy. So we just avoid it. Exactly. We engage in cognitive dissonance. We nod and we agree, oh sure, change is inevitable. But in our day-to-day actions, we vigorously defend our current workflows. Because defending the workflow means defending our current competency.
Bingo. Like, if the workflow changes, my hard-earned expertise is suddenly reset to zero. And nobody wants that. Nobody. And that biological craving for certainty, it scales up into our institutions. Corporations build these massive hierarchies, credentialing systems, operational models, all based on the assumption that the underlying technology will only evolve gradually. Which is never true. Never. Wolf notes that the horse wasn't replaced by a slightly faster genetically engineered horse. Right. The paper map wasn't replaced by a better waterproof paper map. Yet...
organizations, they budget and plan as if disruption is just this polite, linear upgrade to whatever they bought last year. I mean, think about the PDF resume that you, the listener, probably have sitting on your desktop right now or saved in a cloud drive somewhere. Everyone has one. Right. And you likely view that document as your ultimate professional safety net. You tweak the margins, you adjust the bullet points, you optimize all the little keywords. Pending hours on it. Exactly. But Wolf transitions into an even deeper thought experiment here. What happens when a 15-year-old in the near future questions not just our gadgets, but our core societal and professional habits? Yeah, the teenager who looks at your career path. Right.
He asks what happens when that teenager finds out you had to, quote, apply for jobs. I mean, to a teenager a decade from now, the whole concept of a resume packaging a static list of your past accomplishments into a document and then sending it into a digital void just hoping a human resources department actually reads it. It's completely wild. It looks as archaic as handing someone a piece of parchment sealed with wax. Teenagers going to ask, wait.
Companies hire people instead of capabilities. Okay, let's hover on that distinction for a second. Because the difference between hiring people and sourcing capabilities is monumental. It changes everything. Right now, a company says, hey, we need a marketing manager. And they hire a person to fill a fixed box on an organizational chart. Right, a permanent slot. Yeah, they pay for 40 hours of a person's time regardless of what the actual output requires on any given Tuesday. But the future paradigm replaces that rigid hierarchy with fluid capability networks. Yeah. Think about how a blockbuster movie is made today. Oh, that's a good comparison. The studio doesn't employ a permanent salaried lighting guy for 40 years. They assemble a bespoke crew.
for a specific project based on highly specialized capabilities. They execute the project, and then the network just disbands and reassembles for the next film. And what's crazy is that AI and decentralized autonomous organizations, or DAOs, they're scaling that Hollywood model to literally every single industry. Exactly. So if I am that marketing manager today, I shouldn't be optimizing my resume for my next title. No, you really shouldn't. Because in a capability-based economy, an algorithm matches my specific skill, say, writing viral copy for tech products to five different concurrent projects around the globe. You're dynamically leasing your capability by the minute, or by the milestone. I'm not applying for anything. The work simply routes to the capability.
And that completely dismantles the next assumption that the teenager questions, which is, wait, you went to one office every day. Oh, the commute. Yeah. Synchronous geographic clustering makes sense when communication is expensive and workflows require physical proximity. Like a factory. Right. But in an asynchronous global capability network, forcing everyone to commute to a central building just to sit in front of screens that they could have access from their kitchen.
It's a massive waste of energy and capital. The 15-year-old is going to view the daily commute as this bizarre ritual of presenteeism, just completely detached from actual productivity. Which fundamentally shatters our model of education, too. Oh, for sure. Wolf brings up the teenager asking, wait, college was something you finished before you started learning? No, and it's hard. It does. Because the very concept of a four-year degree assumes that knowledge is this static resource that you can just fill up on in your 20s, and then that tank of knowledge will somehow propel you through a 40-year career. We have to look at the math of how fast knowledge is compounding right now. AI is accelerating the pace of discovery to the point where global knowledge is doubling every few months.
The half-life of a learned technical skill is shrinking drastically. So it's outdated almost immediately. Literally. If you enroll in a four-year computer science program today, the languages and frameworks you learn in your freshman year are often completely obsolete by the time you're a junior. Front-loading education mechanically breaks down under these conditions. Then what replaces it? I mean, if the degree is dead, how do we actually prove we know anything? Continuous, context-aware micro-credentialing. Okay, what does that look like? You don't leave the workforce to go learn in a vacuum for four years. The learning is injected directly into your workflow via AI. You acquire verifiable cryptographic credentials on a micro-level.
Day by day, project by project. So education isn't a phase of life anymore. No, it becomes an invisible, continuous background process integrated with your daily output. The whole idea of a graduation ceremony where you were officially done learning it will seem delightfully quaint. But, you know, all of these societal shifts, they really hinge on how we interact with artificial intelligence. Which brings us to probably the most jarring question.
The future teenager asks. Let me guess. He asks, wait, AI waited for you to ask it questions. Yes, that is the big one. We need to dismantle this one carefully because right now the entire tech industry is totally obsessed with prompt engineering. Everyone's talking about it. We have courses, certifications, endless articles on how to ask an AI the perfect question to get the exact output we want. We think prompt engineering is the absolute bleeding edge of human computer interaction. Well, prompt engineering is the bleeding edge of a dying paradigm. Really? A dying paradigm? Yes. It is the equivalent of being highly skilled at knowing the exact DOS syntax to query a database in 1985. Wow.
It assumes that artificial intelligence is just a really fast, highly articulate encyclopedia that sits dormant until a human commands it to do something. We are taking our old assumption that computers are reactive tools and we're projecting it onto an entirely new medium. So how does anticipatory technology actually work then? If it's not waiting for me to take a prompt into a text box, what is it doing? Anticipatory AI operates on ambient sensors and massive historical data arrays. It has real-time access to your calendar, your biometrics.
your past email threads, your current GPS location, your physiological state. That's a lot of data. It is. So it doesn't wait for you to open a word processor and type, hey, please draft an email to the client apologizing for the delay. Right. By the time you sit down at your desk, the AI has already noted the delay in the supply chain software, cross-referenced the client's preferred communication style, read your elevated heart rate indicating that you're stressed, and proactively drafted three options for resolution. And it just places them in your field of vision for mere approval. So what does this all mean? It means a real threat isn't just that you might buy a piece of hardware that goes obsolete in a year. No, the stakes are much higher. The existential threat is that we are actively building our careers.
our corporate strategies, and our daily routines around operational assumptions that are expiring as we speak. Wolf makes this piercing observation. He says the people who struggle the most during periods of rapid disruptive change are not usually the Luddites. Right, it's not the people who refuse to use technology. Exactly. The people who struggle the most are the ones who mistake today's normal for tomorrow's inevitable. They are the hyper-optimizers. The hyper-optimizers. Yeah, you can be the absolute best in the world at optimizing a workflow that is about to be entirely deleted.
You can be the world's most efficient manufacturer of high-quality paper maps right at the exact moment GPS is integrated into consumer dashboards. So your efficiency is actually a liability. Yes, because it blinds you to the fact that the entire game board has been flipped. The desire to get, you know, back to normal or to establish a new normal is today's most dangerous mindset. Because normal implies a plateau. It implies that things have settled down and we can finally just execute the playbook. But Wolf is telling us there is no plateau. There isn't.
We are actively defending job descriptions that AI is literally already executing natively. We are redesigning office layouts for a synchronous workforce that just no longer exists. And this brings us to Wolf's ultimate conclusion, which requires a complete redefinition of adaptability. When we hear the word adaptability, we usually think it means having a crystal ball. We think an adaptable person is someone who can accurately predict the next big tech trend and invest in it early. Right, the person who bought Bitcoin in 2011 or the person who mastered ChatGPT on day one. But true adaptability is not about predicting the future. It is entirely about releasing your attachment to the past. Releasing the past. Yes. It is the capacity to become comfortable letting go of the last device, the last workflow, the last version of normal. The friction you feel during technological change isn't usually the difficulty of learning the new tool. It's the psychological pain of abandoning the expertise you built on the old tool.
It's the art of shedding. Like, if you're packing for a trip into this kind of fluid future, you cannot navigate it if your mental suitcase is overstuffed with yesterday's assumptions. Exactly. You cannot drag a heavy trunk of, well, this is how my industry operates, into a paradigm that doesn't even recognize your industry's existence. You have to pack incredibly light. You have to be agile. Yeah, you have to be a cognitive minimalist ready to drop a framework the second the underlying math changes. This raises an important question for you, the listener, to consider right now. Wolf leaves us with a direct, almost uncomfortable challenge.
What are you defending today that your grandchildren will someday find as quaint as a rotary phone? Seriously, think about your current week. Are you aggressively defending a specific meeting structure because, oh, that's how we maintain alignment? Are you clinging to a rigorous credentialing process for new hires because that's how we filter for quality? If your primary defense for a process is, well, that's just how business is done, you are almost certainly clutching a rotary phone. You need to conduct a rigorous audit of your attachments. Where are you demanding certainty and continuity in a landscape that is fundamentally fluid? Where are you forcing an old mental model onto a new reality? Exactly.
So to bring it all together, we've traversed a fascinating landscape today. We started in that kitchen in 2038, facing the shocking absurdity of interacting with a discrete piece of glass using our thumbs. Cognitive dissonance and systemic inertia that creates the illusion of permanence, why our brains and our businesses consistently trick us into thinking the current version of the world is the final draft. When it never is. And we dismantled those bizarre assumptions surrounding resumes, college, and prompt engineering, arriving at a profoundly freeing realization. Adaptability isn't predicting what's next. It's having the courage to let go of what was. It demands a major shift in posture.
You have to move from playing defense, protecting your current expertise and processes, to playing offense with your own mindset, constantly asking, what assumption am I making today that has already expired? As you move through your day, I strongly encourage you to pay close attention to your own routines. Notice the exact moment you catch yourself thinking, well, this is just how it has to be done. Catch that thought. Notice when you feel your blood pressure rise because a colleague suggests bypassing a traditional workflow. Pause in that moment of friction and remind yourself that normal has a very strict expiration date.
And as you practice letting go of these artifacts of the present, I want to leave you with a final thought to explore on your own, one that really pushes Wolf's premise to its absolute limit. Let's hear it. We've spent this time visualizing our grandchildren looking back at our smartphones, our laptops, and our PDF resumes with amusement. We are picturing them judging our discrete eras of technology. But if we follow the trajectory of ambient anticipatory AI to its logical conclusion, what if the acceleration means the very concept of a technological era disappears entirely?
disappears entirely. Yeah. If future technology seamlessly, instantly, and invisibly adapts to human capabilities without requiring a physical interface or a learning curve, perhaps there won't be any artifacts left to look back on. Because technology will cease to be a tool we use and will simply become an invisible, continuous extension of our own biology. Wow. Imagine trying to explain to a future kid not just why you had to hold a phone, but why you thought of technology as a separate thing from yourself in the first place. Good luck with that. The next time you tap that glass screen, just remember, you're holding a museum piece. Thanks for joining us on this deep dive.
Thank you for listening to Geeks, Geezers, and Googlization. I hope you enjoyed the episode. I welcome your feedback, your challenges, and your shares with your connections, colleagues, and clients. Connect with me on LinkedIn. And remember, don't let the shift. Hit your plan.