ReadMultiplex.com: Did A 1997 Government Funded Report Predict Our Era?

WEBVTT
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Okay, so let's unpack this. I want you to just
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take a second and imagine picking up a history
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book. Right. And this book, it details the precise
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geopolitical, you know, the technological and
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social realities of the year 2025. Which is a
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lot to take in already. It is. It describes global
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pandemics, completely shutting down borders,
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talks about... digital currencies threatening
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traditional banking it gets into remote work
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entirely restructuring how society functions
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oh and the cyber vulnerability yes yes the specific
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like grid crippling cyber vulnerabilities of
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smart infrastructure it even gets into the granular
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details of algorithmic echo chambers polarizing
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society it's basically a map of right now exactly
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but then you flip to the copyright page and it
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says 1997 1997 think about where you were in
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1997 or i mean just where the world was. We were
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getting those AOL trial CDs in the mail. Oh man,
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the ubiquitous CDs. Right, we were blowing dust
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out of Nintendo 64 cartridges. Dial -up internet
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meant you literally couldn't use the home phone
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if someone was browsing a completely static webpage.
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Yeah, it was a totally different universe. So
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if someone handed you this book back then, you
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would just assume you were holding some wildly
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speculative science fiction novel. You'd have
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to. But what we are looking at today is not fiction.
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It is honestly perhaps the most astonishingly
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accurate piece of strategic foresight ever published.
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It genuinely is. It forces a complete recalibration
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of how we how we think about the future. Yeah.
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Because we often operate on this underlying assumption
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that tomorrow is fundamentally unpredictable.
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Right. That we're just kind of at the mercy of
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chaotic events. We're just bouncing around. Exactly.
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But we are looking at a massive 500 plus page
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landmark report. It's titled 2025 Scenarios of
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U .S. and Global Society Reshaped by Science
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and Technology. Such an academic. Very 90s think
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tank. It was authored by Joseph F. Coates, John
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B. Mahaffey and Andy Hines, along with James
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Canton out of the Hudson Institute. And, you
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know, they didn't just get a few lucky guesses
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on a bingo card. Right. They mapped the structural
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like the invisible foundations of our present
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reality. nearly 30 years in advance. Okay, before
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we dig into the actual mechanics of how they
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pulled off what looks like an absolute magic
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trick, I need to bring the listener behind the
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curtain on how we even got our hands on this.
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Please do, because it's a great story. So this
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deep dive is part of the Reed Multiplex universe.
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And it was Brian Rummel who surfaced this incredible
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report. Which is just a massive find. It's wild.
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What's crazy is that Brian originally read this
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report back in 1997 when it actually came out.
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He was paying attention. He was. He digested
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it, internalized it, and had the foresight to
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recognize decades later that those pages were
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predicting this exact turbulent moment in human
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history we're living through right now. It's
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incredible. It really is. So if you want to support
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Brian and the vital work he does uncovering these
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incredible forgotten insights. You really need
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to become a member of ReadMultiplex .com or,
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I mean, at the very least, buy him a coffee.
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Absolutely. He is doing the deep archival work
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so we don't just stumble blindly into tomorrow,
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succumbing to a sort of societal amnesia. That
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framing right there, the societal amnesia, that
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is vital. Because looking at this document today,
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it isn't about giving the authors a retrospective
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pat on the back for being right. Right, like,
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good job, guys. Exactly. It's about reverse engineering
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their vision. We need to understand the methodology
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they use to see the future so clearly. Because
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we can use it. We have to use it. If we can grasp
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how they analyzed their present in 1997, we can
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apply those exact same cognitive tools to our
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present today to figure out what 2050 or 2060
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looks like. So let's start right there with the
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methodology. Because when I first cracked this
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open, my immediate highly skeptical thought was...
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How did they not get derailed by the naive optimism
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of the 90s? It's a very fair question. Right.
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When people in the past predict the future, it
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almost always ends up looking like the Jetsons.
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Oh, yeah. Flying cars everywhere. Flying cars,
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personal jetpacks, or, I mean, on the flip side,
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some dystopian Mad Max wasteland. How did a think
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tank in the mid -90s manage to predict the subtle,
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boring, yet totally profound nuances of our modern
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world? The boring stuff is the hardest to predict.
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It is. It feels less like they were gazing into
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a crystal ball and more like they were reading
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the tectonic plates to predict an earthquake,
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rather than just guessing when the ground might
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shake. I'd actually, I'd take that tectonic plate
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analogy a step further. They weren't just looking
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at the plates. They were measuring the subterranean
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pressure building up beneath them. I like that.
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To understand their analytical framework, we
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really have to look at the legacy of the Hudson
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Institute itself. This organization was built
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on the foundation of Cold War era scenario planning.
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Okay. Heavily influenced by their founder, Herman
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Kahn. And during the Cold War. you couldn't afford
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to just make a single point prediction about
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nuclear strategy because if you're wrong if you're
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wrong the world literally ends white high stakes
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exactly so khan developed this robust scenario
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methodology and by 1997 these authors applied
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that same life or death analytical rigor to civilian
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technology and society they took data from over
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50 different fields Materials, science, biology,
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telecommunications, demographics. And they didn't
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just ask, well, what will happen? What did they
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ask? They asked, if these specific trend lines
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continue, what are the overlapping outcomes across
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multiple different versions of the future? Okay,
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let me stop you there. Because that phrase, overlapping
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outcomes, that feels like the secret sauce here.
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It really is. Are you saying they basically mapped
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out... A best case scenario, a worst case scenario
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and like a middle of the road scenario. Yeah.
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And just looked for the events that happened
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in all three, like the common denominator. That
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is the absolute core of it. Think of it like
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mapping a river system. You don't know exactly
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where a single drop of rain will fall. Right.
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But if you understand the topography of the mountains
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and the valleys, you know that eventually all
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that water is going to converge into a specific
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canyon. Because of gravity. Exactly. The canyon
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is the robust outcome. It's going to fill up
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with water regardless of whether a storm comes
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from the east or the west. That makes a lot of
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sense. And they had a massive advantage in mapping
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this topography because they weren't operating
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in, you know, an academic bubble. Right. They
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had funding. Serious funding. This project was
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funded by an immense ecosystem of government
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agencies, defense contractors, major tech companies
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and multinational corporations. Which means access.
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Unprecedented access. That funding granted the
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authors privileged visibility into active research
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and development pipelines. They were sitting
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in rooms looking at unreleased capabilities,
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military investment priorities, and policy white
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papers that the general public wouldn't even
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hear about for another decade. Which paints this
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totally fascinating picture of 1997. Because
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I really want to ground you, the listener, in
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that specific moment in time. It was a unique
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era. It was. Looking back, it's easy to view
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the 90s as this primitive pre -smartphone era.
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But there was a very specific, almost intoxicating
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energy back then. Oh, absolutely. The peace dividend.
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Yes. The Cold War was over. So you have this
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massive peace dividend where... Billions of dollars
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in incredible engineering talent were suddenly
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being redirected from building weapons to building
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commercial technology. And the Internet was just
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waking up. The commercial Internet was exploding.
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Nutscape had its IPO in 1995, which really fired
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the starting gun for the dot -com boom. You have
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the Human Genome Project gaining serious, tangible
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momentum, mapping the code of life. Dolly the
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sheep. Yes, Dolly the sheep was cloned in 1996,
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which was this massive, jarring wake -up call
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that the biotechnology revolution wasn't just
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theoretical anymore. It was happening right then.
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The tectonic plates were moving. But, okay, here's
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my pushback on their methodology. Let's hear
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it. Exponential growth is notoriously hard for
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the human brain to process. We evolved to think
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linearly. One, two. Three, four. Right. I take
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one step, I move one meter, two steps, two meters.
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But exponential growth, which is what computing
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power network effects were doing, goes one, two,
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four, eight, 16, 32. And by step 30, you've circled
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the Earth. Exactly. If you are looking at the
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Internet in 1997 and you're seeing it double
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in size every few months, the natural human temptation
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is to draw a straight line upward and say, oh,
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by 2025, we'll be living in a frictionless digital
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utopia. The techno -optimism track. Right. So
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how did they maintain their sobriety? They stayed
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sober by actively hunting for the friction. Hunting
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for friction. Yeah. And that is the absolute
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hallmark of professional foresight. Novices look
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at a new technology and ask, you know, what problems
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will this solve? Right. But experts look at a
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new technology and ask, what new problems will
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this create when it scales? Ah, that's a huge
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shift in perspective. It changes everything.
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The authors deliberately integrated downside
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risks. They looked at ethical tensions, infrastructural
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bottlenecks, and what futurists call wild cards.
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Like black swan events. Exactly. A massive global
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pandemic or a sudden geopolitical conflict. They
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understood a fundamental truth about innovation,
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which is that technological convergence does
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not erase human nature. It amplifies it. It amplifies
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it. If you give a highly connected, highly polarized
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society a faster way to communicate, they aren't
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going to suddenly agree with each other. No,
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they're going to argue faster and louder. Exactly.
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Well, that transition from friction to reality
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brings us perfectly to the digital foundation
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they predicted we'd build. And honestly, the
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massive structural cracks they saw forming within
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it. The digital substrate. Right. Let's dig into
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what I'd call their vision of the digital substrate.
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Right. Because they heavily analyzed how work,
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how money, and personal identity were going to
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evolve. And they nailed it. They made incredibly
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bold calls about the widespread rise of remote
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work driven by pervasive computing. They predicted
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the absolute necessity of smart IDs and digital
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databases. They foresaw the emergence of electronic
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programmable currencies. Which is wild for 1997.
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Right. And tying it all together, they mapped
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out this fierce, unending battle between personal
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privacy and state or corporate security. To really
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appreciate the remote work prediction, you have
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to contextualize it. Because in 1997, telecommuting
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was a buzzword. Yeah, but it wasn't real. No.
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Practically, it meant an executive occasionally
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taking a phone call from a home office or, you
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know, someone dialing into a server at 56 kilobits
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per second to download a text file. Taking 10
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minutes to download one document. Exactly. It
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was clunky and peripheral. But the authors looked
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at the early productivity software and the engineering
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roadmaps for high bandwidth fiber optic networks.
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The infrastructure. Yes. They didn't just project
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linear improvements. They applied that exponential
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math you mentioned earlier. They realized that
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once bandwidth crossed a certain threshold, the
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primary locus of knowledge work could be entirely
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divorced from a physical office building. Wow.
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They envisioned seamless, distributed, real -time
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collaboration. And we all know exactly how that
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played out. The infrastructure was slowly building
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for two decades, and then the COVID -19 pandemic
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acted as the wild card, right? It forced global
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adoption practically overnight. It accelerated
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the timeline by a decade. Easily. Zoom. Teams,
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Slack, they basically became our physical offices.
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And now in the mid -2020s, hybrid or fully remote
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models are just the default expectation in the
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knowledge sector. They are. But if you are listening
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to this on a commute right now, think about the
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route you are taking. Think about the businesses
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you are passing. Because when you separate the
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worker from the physical office, you don't just
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change the commute. No, you change the entire
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economy. You change the fundamental economics
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of the city itself. Did they actually foresee
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that remote work would hollow out commercial
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real estate, crush the tax base of urban centers,
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and force a complete rewrite of civic planning?
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They saw the systemic ripple effects incredibly
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clearly. Because when you decouple geography
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from income... Like earning a tech salary in
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a small town? Exactly. When someone can earn
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a San Francisco salary while living in a small
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town in Idaho, urban centers lose their captive
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audience. Cities suddenly have to compete on
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quality of life, not just proximity to employment.
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That's a huge shift. It is. And the authors understood
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this would lead to massive policy friction. Because
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how do you tax a worker who lives in one state,
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works for a company in another, and collaborates
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on servers hosted in a third? It's a nightmare
00:12:49.009 --> 00:12:52.730
for regulators. Total nightmare. They knew this
00:12:52.730 --> 00:12:54.830
distributed economy would demand a completely
00:12:54.830 --> 00:12:58.289
new architectural layer of trust, which brings
00:12:58.289 --> 00:13:00.710
us directly to their prediction regarding digital
00:13:00.710 --> 00:13:03.090
identity. Oh, this part is fascinating. Because
00:13:03.090 --> 00:13:05.269
if you have a distributed workforce and a distributed
00:13:05.269 --> 00:13:08.610
economy, you can no longer rely on physical in
00:13:08.610 --> 00:13:10.809
-person verification. You can't just hand someone
00:13:10.809 --> 00:13:13.570
a paper license. Exactly. You need a robust,
00:13:13.929 --> 00:13:17.629
pervasive digital way to prove you are who you
00:13:17.629 --> 00:13:20.309
say you are. And this is where we go from, like...
00:13:20.509 --> 00:13:23.990
amazing convenience to slight dystopia. Because
00:13:23.990 --> 00:13:26.149
in 97, they were looking at the very earliest
00:13:26.149 --> 00:13:29.259
iterations of smart cards. Like maybe a corporate
00:13:29.259 --> 00:13:31.779
ID badge with a magnetic stripe. Right. Very
00:13:31.779 --> 00:13:33.960
basic stuff. But they extrapolated that into
00:13:33.960 --> 00:13:36.840
comprehensive biometric interoperable databases.
00:13:37.259 --> 00:13:39.740
Because they recognized that governance, commerce,
00:13:39.799 --> 00:13:42.200
and security in a hyper -connected world would
00:13:42.200 --> 00:13:44.980
simply collapse without integrated identity databases.
00:13:45.440 --> 00:13:47.320
Yeah. Just look at the landscape we inhabit today.
00:13:47.419 --> 00:13:50.019
You have India's Aadhaar system, which assigned
00:13:50.019 --> 00:13:53.200
a unique biometric digital identity to over a
00:13:53.200 --> 00:13:56.299
billion people. Over a billion. Yeah. You have
00:13:56.299 --> 00:13:58.639
the European Union rolling out comprehensive
00:13:58.639 --> 00:14:03.200
digital wallets. We saw the rapid global implementation
00:14:03.200 --> 00:14:06.220
of digital health credentials during the pandemic.
00:14:06.259 --> 00:14:09.340
Right. The vaccine passports. Exactly. The authors
00:14:09.340 --> 00:14:11.779
saw that these systems would evolve from being
00:14:11.779 --> 00:14:15.139
a convenience to becoming the mandatory gatekeepers
00:14:15.139 --> 00:14:17.620
of modern life. I really want to focus on that
00:14:17.620 --> 00:14:19.940
word mandatory because this is a recurring theme
00:14:19.940 --> 00:14:22.899
with the Hudson Report. They are always, always
00:14:22.899 --> 00:14:25.080
looking at the shadow cast by the technology.
00:14:25.299 --> 00:14:27.440
Always looking for the friction. Right. They
00:14:27.440 --> 00:14:29.700
predicted the incredible frictionless efficiency
00:14:29.700 --> 00:14:33.139
of smart IDs, but they immediately pointed out
00:14:33.139 --> 00:14:35.779
the severe exclusion risks. Which is a huge problem
00:14:35.779 --> 00:14:38.799
today. Right. If a digital ID becomes the prerequisite
00:14:38.799 --> 00:14:41.340
to open a bank account, receive health care,
00:14:41.460 --> 00:14:43.639
get a job, or even log into an Internet portal.
00:14:44.669 --> 00:14:46.669
What happens to the marginalized populations
00:14:46.669 --> 00:14:49.129
who fall outside that system? They become invisible.
00:14:49.549 --> 00:14:51.129
Exactly. Whether through lack of technological
00:14:51.129 --> 00:14:53.850
access, clerical errors, or active state suppression,
00:14:54.190 --> 00:14:56.629
losing your digital identity in this predicted
00:14:56.629 --> 00:14:59.549
future basically equates to being exiled from
00:14:59.549 --> 00:15:02.610
society itself. That is the shadow. The efficiency
00:15:02.610 --> 00:15:04.870
of the system becomes a weapon against the edge
00:15:04.870 --> 00:15:08.649
cases. And, you know, that exact same double
00:15:08.649 --> 00:15:10.850
-edged dynamic applies perfectly to their predictions
00:15:10.850 --> 00:15:13.330
about the future of money. Yes, the future of
00:15:13.330 --> 00:15:15.990
money. We have to remember, Bitcoin wasn't launched
00:15:15.990 --> 00:15:19.230
until 2009. Right. The famous Satoshi Nakamoto
00:15:19.230 --> 00:15:21.350
white paper was more than a decade away when
00:15:21.350 --> 00:15:25.429
they wrote this. Yet in 1997, these authors saw
00:15:25.429 --> 00:15:28.429
the structural need for entirely new monetary
00:15:28.429 --> 00:15:31.370
architectures. They saw the bottleneck. Exactly.
00:15:31.649 --> 00:15:34.970
They realized that if commerce was becoming borderless,
00:15:35.049 --> 00:15:38.370
instantaneous, and digital, the underlying currency
00:15:38.370 --> 00:15:41.039
couldn't remain analog. Wait. For those who might
00:15:41.039 --> 00:15:42.639
think a digital currency just means checking
00:15:42.639 --> 00:15:44.639
your bank balance on a phone app, it's fundamentally
00:15:44.639 --> 00:15:46.860
different than that, right? Oh, completely. They
00:15:46.860 --> 00:15:48.620
weren't just predicting online banking. They
00:15:48.620 --> 00:15:51.440
were predicting programmable money. And that
00:15:51.440 --> 00:15:54.019
is the distinction that matters. Online banking
00:15:54.019 --> 00:15:56.799
in 1997 was basically just a digital message
00:15:56.799 --> 00:16:00.039
instructing a bank to move a static analog dollar
00:16:00.039 --> 00:16:02.500
from one ledger to another. It was just a digital
00:16:02.500 --> 00:16:05.559
fax. Basically, yeah, it was slow and it required
00:16:05.559 --> 00:16:08.919
human intermediaries. But programmable money,
00:16:09.080 --> 00:16:12.019
what we now see in central bank digital currencies
00:16:12.019 --> 00:16:14.720
or CBDCs and decentralized cryptocurrencies,
00:16:15.000 --> 00:16:18.460
means the money itself is code. The money has
00:16:18.460 --> 00:16:21.399
rules. The currency can have rules baked right
00:16:21.399 --> 00:16:23.879
into it. They foresaw that as the velocity of
00:16:23.879 --> 00:16:26.460
global trade increased, reliance on physical
00:16:26.460 --> 00:16:28.720
cash and legacy clearinghouses would become a
00:16:28.720 --> 00:16:31.720
massive bottleneck. They mapped the entire trajectory
00:16:31.720 --> 00:16:34.440
toward tokenized electronic money. And their
00:16:34.440 --> 00:16:36.379
foresight on this is just staggering when you
00:16:36.379 --> 00:16:38.659
look globally today. I mean, you have mobile
00:16:38.659 --> 00:16:41.080
payment ecosystems like WeChat Pay and Alipay
00:16:41.080 --> 00:16:43.799
achieving near total dominance in China. Cash
00:16:43.799 --> 00:16:45.820
is almost obsolete there. Effectively obsolete
00:16:45.820 --> 00:16:49.309
in major cities. completely transforming the
00:16:49.309 --> 00:16:51.950
African continent's economy. And right now, dozens
00:16:51.950 --> 00:16:54.629
of central banks globally are actively piloting
00:16:54.629 --> 00:16:57.269
CBDCs. It's happening everywhere. But again,
00:16:57.470 --> 00:16:58.990
they didn't just see the frictionless payments
00:16:58.990 --> 00:17:00.649
at the grocery store. They saw the volatility,
00:17:00.889 --> 00:17:03.850
the intense regulatory battles over who controls
00:17:03.850 --> 00:17:06.549
the ledger, and the profound privacy implications
00:17:06.549 --> 00:17:09.529
of a cashless society. The surveillance aspect?
00:17:09.910 --> 00:17:12.710
Exactly. If the government issues a programmable
00:17:12.710 --> 00:17:16.569
CBDC, they don't just see what you bought. They
00:17:16.569 --> 00:17:18.990
could theoretically put an expiration date on
00:17:18.990 --> 00:17:21.250
your money to force economic stimulus. Spend
00:17:21.250 --> 00:17:23.619
it in 30 days or lose it. Right. or restrict
00:17:23.619 --> 00:17:25.960
purchases based on a social credit system. Which
00:17:25.960 --> 00:17:28.480
perfectly encapsulates the overarching tension
00:17:28.480 --> 00:17:31.200
they identified across all these digital systems.
00:17:31.420 --> 00:17:34.200
Yeah. That unending tug of war between privacy
00:17:34.200 --> 00:17:36.740
erosion and security imperatives. Never ends.
00:17:37.019 --> 00:17:40.000
Never. Because when your work, your identity,
00:17:40.039 --> 00:17:42.059
and your money are all routed through digital
00:17:42.059 --> 00:17:45.359
substrates, you generate a continuous massive
00:17:45.359 --> 00:17:48.839
data exhaust. And that data is valuable. Incredibly
00:17:48.839 --> 00:17:51.500
valuable to corporations for targeted advertising
00:17:51.500 --> 00:17:54.019
and incredible... valuable to the state for surveillance
00:17:54.019 --> 00:17:56.579
and security. The authors recognize that this
00:17:56.579 --> 00:17:59.380
digital foundation was incredibly powerful, but
00:17:59.380 --> 00:18:01.740
its very interconnectedness made it inherently
00:18:01.740 --> 00:18:04.099
fragile. Fragile is the perfect pivot point here.
00:18:04.200 --> 00:18:06.180
Let's move into what I think of as the fragile
00:18:06.180 --> 00:18:08.200
machine section of their analysis. This part
00:18:08.200 --> 00:18:10.660
is so relevant right now. It's scary relevant.
00:18:11.039 --> 00:18:13.819
They heavily emphasize cyber attacks on critical
00:18:13.819 --> 00:18:16.779
infrastructure. The danger of over -reliance
00:18:16.779 --> 00:18:19.519
on complex systems, the vulnerabilities of smart
00:18:19.519 --> 00:18:22.279
urbanization, and this fascinating counter -movement
00:18:22.279 --> 00:18:25.180
of decentralized micromanufacturing. Let's start
00:18:25.180 --> 00:18:26.960
with the cyber attacks. Let's do it, because
00:18:26.960 --> 00:18:30.480
this blew my mind. In 1997, what was a computer
00:18:30.480 --> 00:18:33.480
virus, it was largely a novelty, a nuisance.
00:18:33.700 --> 00:18:35.940
A teenager in a basement messing with you. Right.
00:18:36.400 --> 00:18:38.400
It might delete some files on your hard drive
00:18:38.400 --> 00:18:40.460
or make your screen display a weird graphical
00:18:40.460 --> 00:18:43.079
glitch. The stakes were contained to the individual
00:18:43.079 --> 00:18:45.920
machine. Yes. But the Hudson Institute authors
00:18:45.920 --> 00:18:49.880
looked at those early primitive worms and predicted
00:18:49.880 --> 00:18:52.160
they would evolve into grid -crippling sabotage
00:18:52.160 --> 00:18:54.099
tools. Because they understood the implications
00:18:54.099 --> 00:18:56.519
of bridging two historically separate worlds.
00:18:56.740 --> 00:18:59.680
Which worlds? Information technology, IT, and
00:18:59.680 --> 00:19:02.839
operational technology, OT. Okay, break that
00:19:02.839 --> 00:19:06.910
down for me. Sure. So IT is data. Your emails,
00:19:07.150 --> 00:19:08.930
your spreadsheets, the stuff on your screen.
00:19:09.329 --> 00:19:13.029
OT is physical mechanics. It's the software that
00:19:13.029 --> 00:19:15.930
opens a valve on a dam, the sensors that regulate
00:19:15.930 --> 00:19:18.609
temperature in a chemical plant, the switching
00:19:18.609 --> 00:19:21.130
systems for the power grid. The physical world.
00:19:21.430 --> 00:19:25.890
Exactly. And historically, OT systems were air
00:19:25.890 --> 00:19:27.890
-gapped. Meaning they weren't connected to the
00:19:27.890 --> 00:19:29.849
internet at all. Right. Physically separate.
00:19:29.990 --> 00:19:32.809
But the authors saw the push for efficiency.
00:19:33.450 --> 00:19:35.589
They knew corporations would eventually network
00:19:35.589 --> 00:19:37.970
their physical infrastructure to monitor remotely.
00:19:38.430 --> 00:19:41.470
Oh, no. Yep. And the moment you connect a physical
00:19:41.470 --> 00:19:44.690
valve to a digital network, a line of malicious
00:19:44.690 --> 00:19:47.529
code can cause an actual physical explosion.
00:19:47.569 --> 00:19:49.890
And we've seen this manifest in terrifying ways.
00:19:49.970 --> 00:19:52.309
Think about SexNet. The perfect example. It was
00:19:52.309 --> 00:19:54.849
a malicious computer worm, likely developed by
00:19:54.849 --> 00:19:57.890
state actors, that specifically targeted the
00:19:57.890 --> 00:20:00.269
programmable logic controllers in Iran's nuclear
00:20:00.269 --> 00:20:02.109
facilities. It crossed over into the physical
00:20:02.109 --> 00:20:06.529
world. It did. The code literally caused physical
00:20:06.529 --> 00:20:09.170
centrifuges to spin out of control and destroy
00:20:09.170 --> 00:20:12.289
themselves, all while feeding fake, normal -looking
00:20:12.289 --> 00:20:14.410
data back to the human operators so they wouldn't
00:20:14.410 --> 00:20:15.970
know anything was wrong until it was too late.
00:20:16.130 --> 00:20:18.690
Pure sabotage. Or look at the NotPetya attack
00:20:18.690 --> 00:20:21.309
that paralyzed global shipping logistics. Or
00:20:21.309 --> 00:20:24.269
the Colonial Pipeline ransomware attack. A digital
00:20:24.269 --> 00:20:27.289
breach caused actual physical gasoline shortages
00:20:27.289 --> 00:20:29.829
across the U .S. East Coast. People were filling
00:20:29.829 --> 00:20:33.309
plastic bags with gas. It was chaos. The authors
00:20:33.309 --> 00:20:35.289
saw that the battlefield of the 21st century
00:20:35.289 --> 00:20:37.390
wouldn't just be fought with tanks. It would
00:20:37.390 --> 00:20:40.150
involve digital sabotage, targeting the very
00:20:40.150 --> 00:20:42.549
physical systems keeping society alive. It's
00:20:42.549 --> 00:20:45.049
all connected. Feels like we built this incredibly
00:20:45.049 --> 00:20:48.210
tall, beautifully complex digital Jenga tower.
00:20:48.779 --> 00:20:50.319
It can reach incredible heights of efficiency.
00:20:50.720 --> 00:20:53.380
But if a state sponsored hacker or just a rogue
00:20:53.380 --> 00:20:55.819
group manages to pull out the wrong block at
00:20:55.819 --> 00:20:57.500
the bottom, the whole thing comes crashing down.
00:20:57.599 --> 00:21:00.460
I'd actually I'd challenge the Jenga tower analogy
00:21:00.460 --> 00:21:03.339
slightly. OK, how so? Well, Jenga implies the
00:21:03.339 --> 00:21:05.420
structure falls apart because it's inherently
00:21:05.420 --> 00:21:08.519
unstable and gravity takes over. The vulnerability
00:21:08.519 --> 00:21:11.900
they described is more akin to like. an autoimmune
00:21:11.900 --> 00:21:14.900
disease in a biological nervous system. Oh, interesting.
00:21:15.180 --> 00:21:17.660
Because the system is incredibly resilient under
00:21:17.660 --> 00:21:20.640
normal conditions. But because every part is
00:21:20.640 --> 00:21:22.900
instantly communicating with every other part,
00:21:23.079 --> 00:21:26.180
a hyper -efficient system can transmit a shockwave
00:21:26.180 --> 00:21:28.839
instantly. The efficiency is the vulnerability.
00:21:29.079 --> 00:21:31.539
Exactly. And they warned about this explicitly
00:21:31.539 --> 00:21:34.599
regarding our over -reliance on complex systems.
00:21:34.900 --> 00:21:37.500
We don't even need malicious hackers to see this
00:21:37.500 --> 00:21:39.519
fragility in action. We just need a mistake.
00:21:39.859 --> 00:21:41.799
Right. Look at the... global semiconductor shortages
00:21:41.799 --> 00:21:44.140
a few years ago. Right. The chip shortage is
00:21:44.140 --> 00:21:46.779
the ultimate non -malicious example of this systemic
00:21:46.779 --> 00:21:50.619
fragility. We built this miracle of just in time
00:21:50.619 --> 00:21:53.380
global manufacturing. Super optimized. But then
00:21:53.380 --> 00:21:56.339
a single unforeseen perturbation happens. A drought
00:21:56.339 --> 00:21:58.920
in Taiwan affects the ultra pure water needed
00:21:58.920 --> 00:22:01.720
for chip fabrication. Or, you know, a massive
00:22:01.720 --> 00:22:04.059
cargo ship gets wedged sideways in the Suez Canal
00:22:04.059 --> 00:22:07.000
for a week. Just one bottleneck. And suddenly,
00:22:07.220 --> 00:22:09.640
because the system is so hyper interdependent
00:22:09.640 --> 00:22:12.740
and optimized for zero inventory, those localized
00:22:12.740 --> 00:22:15.779
events cascade into a complete halt in global
00:22:15.779 --> 00:22:18.619
automobile production or medical device manufacturing.
00:22:18.880 --> 00:22:22.160
We optimize for cost. We optimize for cost and
00:22:22.160 --> 00:22:24.299
efficiency at the total expense of resilience.
00:22:25.069 --> 00:22:27.490
And this is where their foresight gets incredibly
00:22:27.490 --> 00:22:30.630
nuanced because they didn't just predict the
00:22:30.630 --> 00:22:33.410
fragility of these centralized complex systems.
00:22:33.650 --> 00:22:36.690
They predicted the societal and technological
00:22:36.690 --> 00:22:39.329
immune response to it. The immune response. Yeah.
00:22:39.410 --> 00:22:41.809
They forecast the rise of decentralized production,
00:22:42.210 --> 00:22:45.150
micro manufacturing and what we now call permissionless
00:22:45.150 --> 00:22:48.150
innovation. The maker movement. Exactly. When
00:22:48.150 --> 00:22:50.390
the global centralized supply chain proves to
00:22:50.390 --> 00:22:53.250
be vulnerable, local resilience stops being a
00:22:53.250 --> 00:22:55.650
cute hobby. and becomes a survival imperative.
00:22:56.089 --> 00:22:58.750
I look at this prediction and I see the massive
00:22:58.750 --> 00:23:01.950
open source hardware movement. I see 3D printing
00:23:01.950 --> 00:23:04.710
moving from printing plastic trinkets to printing
00:23:04.710 --> 00:23:06.809
literal aerospace components. It's everywhere.
00:23:07.230 --> 00:23:09.789
And most pressingly, I see what's happening right
00:23:09.789 --> 00:23:12.730
now with garage -scale AI and robotics. You have
00:23:12.730 --> 00:23:15.210
individuals downloading powerful, open -source,
00:23:15.309 --> 00:23:18.210
large -language models and running them on local
00:23:18.210 --> 00:23:21.650
hardware, entirely bypassing the massive centralized
00:23:21.650 --> 00:23:24.289
corporate servers. Taking the power back. But
00:23:24.289 --> 00:23:27.160
this raises a critical question for me. If they
00:23:27.160 --> 00:23:29.539
saw this vulnerability in our centralized systems,
00:23:29.680 --> 00:23:32.960
is this decentralized maker movement a cure for
00:23:32.960 --> 00:23:35.460
the fragility or is it just a new vector for
00:23:35.460 --> 00:23:37.799
chaos? That is arguably the defining tension
00:23:37.799 --> 00:23:40.789
of our current era. Yeah. Yeah. From the author's
00:23:40.789 --> 00:23:43.329
perspective, decentralization is a necessary
00:23:43.329 --> 00:23:45.809
counterbalance. If a cyber attack takes down
00:23:45.809 --> 00:23:48.789
a regional power grid or logistics hub, a community
00:23:48.789 --> 00:23:52.009
that can 3D print replacement parts locally or
00:23:52.009 --> 00:23:55.150
utilize open source AI models for logistics routing
00:23:55.150 --> 00:23:57.609
is vastly more resilient. Right. They can bounce
00:23:57.609 --> 00:23:59.869
back. It's a return to local artisan capability,
00:24:00.049 --> 00:24:02.609
but powered by instantaneous global information
00:24:02.609 --> 00:24:05.450
sharing. Right. But as you point out, the shadow
00:24:05.450 --> 00:24:07.910
of permissionless innovation is that bad actors
00:24:07.910 --> 00:24:09.740
have access to those exact. same decentralized
00:24:09.740 --> 00:24:13.059
tools. If a brilliant engineer in a garage can
00:24:13.059 --> 00:24:16.480
synthesize a novel beneficial compound, a malicious
00:24:16.480 --> 00:24:19.680
actor in a basement can use the same open source
00:24:19.680 --> 00:24:22.299
knowledge to synthesize a pathogen. Oh, wow.
00:24:22.460 --> 00:24:24.319
It's a race between decentralized resilience
00:24:24.319 --> 00:24:27.480
and decentralized risk. And nowhere is that race
00:24:27.480 --> 00:24:30.420
more terrifying or more promising than in the
00:24:30.420 --> 00:24:32.660
biological frontier. Which they also nailed.
00:24:33.210 --> 00:24:35.210
Genuinely, reading this section of the report
00:24:35.210 --> 00:24:37.950
feels like reading tomorrow's newspaper. They
00:24:37.950 --> 00:24:40.930
mapped out biotechnology revolutions with stunning
00:24:40.930 --> 00:24:44.230
accuracy. They predicted fast mutating zoonotic
00:24:44.230 --> 00:24:47.250
pandemics. You sound familiar. Right. They foresaw
00:24:47.250 --> 00:24:49.589
the integration of nanotechnology with medicine,
00:24:49.769 --> 00:24:52.269
the shift toward hyper predictive diagnostics,
00:24:52.309 --> 00:24:55.369
and they waded deep into the massive thorny ethical
00:24:55.369 --> 00:24:58.049
dilemmas surrounding human enhancement. We really
00:24:58.049 --> 00:24:59.950
need to contextualize this one again. Let's do
00:24:59.950 --> 00:25:03.460
it. In 1997, the human genome. project was years
00:25:03.460 --> 00:25:06.259
away from producing a complete sequence. The
00:25:06.259 --> 00:25:08.799
map of human DNA was still largely uncharted
00:25:08.799 --> 00:25:11.380
territory. It was just a massive unfinished puzzle.
00:25:11.799 --> 00:25:15.099
Yes. Yet they saw the momentum and predicted
00:25:15.099 --> 00:25:17.440
that genetics would rapidly transition from a
00:25:17.440 --> 00:25:20.099
theoretical science to a hard engineering discipline.
00:25:20.440 --> 00:25:23.279
Engineering life. Exactly. They didn't just offer
00:25:23.279 --> 00:25:25.539
a vague prediction about, oh, we'll have better
00:25:25.539 --> 00:25:28.119
medicine in the future. They specifically pointed
00:25:28.119 --> 00:25:30.700
to the development of rapid vaccine platforms.
00:25:30.799 --> 00:25:33.619
To understand the magnitude of that prediction,
00:25:33.799 --> 00:25:35.940
you have to look at the mechanics of vaccine
00:25:35.940 --> 00:25:38.779
development prior to the modern era. It was slow.
00:25:38.980 --> 00:25:42.099
Incredibly slow. Historically, you had to cultivate
00:25:42.099 --> 00:25:45.940
the actual virus, often in like millions of chicken
00:25:45.940 --> 00:25:48.539
eggs. Right. Literally growing it in eggs. Then
00:25:48.539 --> 00:25:51.980
you inactivate it or weaken it and then inject
00:25:51.980 --> 00:25:54.799
it to trigger an immune response. It was a biological
00:25:54.799 --> 00:25:57.819
artisanal process that took years, sometimes
00:25:57.819 --> 00:26:00.509
decades, to get right. But the Hudson authors
00:26:00.509 --> 00:26:02.650
were watching the early work in synthetic biology.
00:26:02.970 --> 00:26:05.829
They foresaw a platform approach. And a platform
00:26:05.829 --> 00:26:07.829
means? The platform means you don't build a new
00:26:07.829 --> 00:26:10.269
factory for every new car. You build a versatile
00:26:10.269 --> 00:26:12.670
chassis and just swap out the parts. Which is
00:26:12.670 --> 00:26:15.690
the exact, precise mechanism of the mRNA vaccines
00:26:15.690 --> 00:26:18.730
used for COVID -19. Completely validated their
00:26:18.730 --> 00:26:21.190
prediction. Developing, testing, and deploying
00:26:21.190 --> 00:26:25.089
a novel vaccine globally in under a year was
00:26:25.089 --> 00:26:28.710
considered pure science fiction in 1997. But
00:26:28.710 --> 00:26:31.289
the platform technology was ready. Because mRNA
00:26:31.289 --> 00:26:33.990
doesn't inject you with a virus? No, it injects
00:26:33.990 --> 00:26:36.509
your cells with a line of code, a set of instructions,
00:26:36.730 --> 00:26:39.369
telling your own body to manufacture a harmless
00:26:39.369 --> 00:26:42.099
protein to train your immune system. And they
00:26:42.099 --> 00:26:44.640
linked this rapid platform development directly
00:26:44.640 --> 00:26:48.079
to the inevitability of fast mutating viral pandemics
00:26:48.079 --> 00:26:51.180
requiring unprecedented global health coordination.
00:26:51.640 --> 00:26:54.599
Their analysis of pandemic risk is just a masterclass
00:26:54.599 --> 00:26:57.380
in systems thinking. They understood the biological
00:26:57.380 --> 00:27:00.259
mechanics of zoonotic spillover. Where a virus
00:27:00.259 --> 00:27:02.819
jumps from an animal host to a human host. Right.
00:27:02.900 --> 00:27:05.500
But more importantly, they layered that biological
00:27:05.500 --> 00:27:09.130
risk over their data on globalization. They knew
00:27:09.130 --> 00:27:11.329
that hyperconnected air travel networks would
00:27:11.329 --> 00:27:14.210
turn a localized spillover event into a global
00:27:14.210 --> 00:27:16.750
crisis within a matter of days. But what truly
00:27:16.750 --> 00:27:19.970
separates this report from a standard epidemiology
00:27:19.970 --> 00:27:22.630
textbook is that they didn't just predict the
00:27:22.630 --> 00:27:24.829
science of the pandemic. What else did they predict?
00:27:25.049 --> 00:27:28.500
They predicted the societal friction. They explicitly
00:27:28.500 --> 00:27:31.980
foresaw the immense challenges that a World Health
00:27:31.980 --> 00:27:34.960
Organization style entity would face. Oh, the
00:27:34.960 --> 00:27:38.480
politics of it. Yes. They mapped out the geopolitical
00:27:38.480 --> 00:27:41.460
mistrust, the fierce debates over vaccine equity
00:27:41.460 --> 00:27:44.180
between developed and developing nations, and
00:27:44.180 --> 00:27:46.700
the absolute breakdown of coordinated response
00:27:46.700 --> 00:27:49.859
due to political polarization. Because they saw
00:27:49.859 --> 00:27:51.940
the human element as the ultimate bottleneck.
00:27:51.980 --> 00:27:54.259
Exactly. The science might work perfectly in
00:27:54.259 --> 00:27:57.700
a lab, but getting 8 billion... complex, irrational
00:27:57.700 --> 00:28:00.519
humans to agree on how to deploy it and who gets
00:28:00.519 --> 00:28:03.559
it first. That's where the friction lies. Humans
00:28:03.559 --> 00:28:05.759
are the friction. And the convergence of technologies
00:28:05.759 --> 00:28:07.960
here is just wild to think about. You have the
00:28:07.960 --> 00:28:10.460
biotechnology merging seamlessly with another
00:28:10.460 --> 00:28:12.440
major prediction they made, which is nanotechnology.
00:28:12.859 --> 00:28:16.299
Nanotech in 97 was mostly just theories. Right.
00:28:16.339 --> 00:28:18.579
It was largely the domain of theoretical physicists
00:28:18.579 --> 00:28:22.119
writing papers. But they predicted its tangible
00:28:22.119 --> 00:28:25.279
application in medicine. In what way? Well, when
00:28:25.279 --> 00:28:27.880
we talk about those mRNA vaccines, the fragile
00:28:27.880 --> 00:28:30.119
mRNA strand can't just be injected into your
00:28:30.119 --> 00:28:32.519
arm directly. Your body would destroy it instantly.
00:28:32.819 --> 00:28:35.079
It needs a delivery mechanism. Exactly. It has
00:28:35.079 --> 00:28:37.720
to be encased in something. What delivered the
00:28:37.720 --> 00:28:41.539
mRNA payload into our cells? Lipid nanoparticles.
00:28:41.720 --> 00:28:44.579
Wow. The literal convergence of nanotechnology
00:28:44.579 --> 00:28:48.720
and biotechnology saved millions of lives. And
00:28:48.720 --> 00:28:51.140
that convergence doesn't stop at vaccines, right?
00:28:51.259 --> 00:28:54.220
It pushes us directly into the realm of personalized
00:28:54.220 --> 00:28:57.460
predictive medicine. Proactive medicine. Exactly.
00:28:57.640 --> 00:29:00.680
Because in the 1990s, the paradigm of medicine
00:29:00.680 --> 00:29:03.880
was overwhelmingly reactive. You feel a symptom,
00:29:03.980 --> 00:29:06.059
you get sick, you go to a clinic and a doctor
00:29:06.059 --> 00:29:09.700
tries to diagnose and fix you based on statistical
00:29:09.700 --> 00:29:12.160
averages of what works for most people. Basically
00:29:12.160 --> 00:29:14.779
guessing based on the average human. Right. But
00:29:14.779 --> 00:29:17.220
the Hudson authors predicted a fundamental paradigm
00:29:17.220 --> 00:29:19.900
shift. toward proactive, highly individualized
00:29:19.900 --> 00:29:22.660
medicine powered by continuous data monitoring
00:29:22.660 --> 00:29:24.920
and genomic sequencing. If you're listening to
00:29:24.920 --> 00:29:26.960
this and wearing a smartwatch, you are living
00:29:26.960 --> 00:29:29.099
this prediction right now. You have a device
00:29:29.099 --> 00:29:31.960
on your wrist that's constantly running diagnostics.
00:29:31.980 --> 00:29:34.339
It's analyzing your blood oxygen, tracking your
00:29:34.339 --> 00:29:36.680
sleep architecture. It can alert you to an atrial
00:29:36.680 --> 00:29:40.039
fibrillation, an irregular heartbeat, weeks before
00:29:40.039 --> 00:29:42.140
you ever feel a physical symptom. It's a continuous
00:29:42.140 --> 00:29:44.960
health monitor. On a more profound level, we
00:29:44.960 --> 00:29:48.690
now have precision oncology. If someone develops
00:29:48.690 --> 00:29:51.829
a tumor, doctors don't just blast it with generic
00:29:51.829 --> 00:29:54.630
chemotherapy anymore. No, they sequence the DNA.
00:29:54.730 --> 00:29:56.990
They sequence the specific DNA of that unique
00:29:56.990 --> 00:30:00.130
tumor and target it with bespoke therapies designed
00:30:00.130 --> 00:30:02.930
exclusively for that specific genetic mutation.
00:30:03.230 --> 00:30:05.390
Which is incredible. When you combine genetic
00:30:05.390 --> 00:30:08.190
engineering, nanotechnology, and continuous biometric
00:30:08.190 --> 00:30:10.990
data monitoring, the authors practically foresaw
00:30:10.990 --> 00:30:13.009
the human body transitioning from a biological
00:30:13.009 --> 00:30:16.589
mystery into a programmable machine. Programmable
00:30:16.589 --> 00:30:19.109
machine. That is exactly the right phrasing.
00:30:19.170 --> 00:30:21.029
And it's a phrase that leads us directly into
00:30:21.029 --> 00:30:23.309
the darkest, most philosophically complex territory
00:30:23.309 --> 00:30:26.369
of their biological forecasts. Uh -oh. Why is
00:30:26.369 --> 00:30:29.210
that? Because when the human body becomes programmable,
00:30:29.269 --> 00:30:31.809
the traditional ethical line between therapy
00:30:31.809 --> 00:30:36.589
and enhancement completely dissolves. Oh. This
00:30:36.589 --> 00:30:38.950
is where things get heavily debated. Heavily.
00:30:38.990 --> 00:30:41.859
If I use a tool like CRISPR, which acts like
00:30:41.859 --> 00:30:45.940
molecular scissors to cut and edit DNA to cure
00:30:45.940 --> 00:30:48.519
a child of a debilitating genetic disease like
00:30:48.519 --> 00:30:50.880
sickle cell anemia, the entire world applauds.
00:30:51.240 --> 00:30:53.799
Right. That is therapy. It restores a baseline
00:30:53.799 --> 00:30:56.319
of health. But the mechanism is exactly the same,
00:30:56.339 --> 00:30:58.500
regardless of the intent. If I use that exact
00:30:58.500 --> 00:31:02.000
same CRISPR technology to edit an embryo to give
00:31:02.000 --> 00:31:04.960
my child... enhanced memory retention or increased
00:31:04.960 --> 00:31:08.160
muscle density or, I don't know, resistance to
00:31:08.160 --> 00:31:10.920
cosmic radiation for deep space travel, suddenly
00:31:10.920 --> 00:31:13.319
we're in entirely uncharted ethical territory.
00:31:13.599 --> 00:31:15.440
Like Billy and God. It starts being about healing
00:31:15.440 --> 00:31:17.619
and starts being about engineering a superior
00:31:17.619 --> 00:31:20.180
human. Did the authors see the governance and
00:31:20.180 --> 00:31:22.259
ethical frameworks lagging as far behind the
00:31:22.259 --> 00:31:23.859
science as they currently are? They absolutely
00:31:23.859 --> 00:31:26.539
did. They explicitly warned that our technological
00:31:26.539 --> 00:31:28.960
capability to tinker with the fundamental building
00:31:28.960 --> 00:31:31.079
blocks of life would sprint ahead at exponential
00:31:31.079 --> 00:31:34.140
speed. Other walls crawl. Exactly. Our ethical,
00:31:34.200 --> 00:31:36.660
legal and cultural frameworks would just crawl.
00:31:36.940 --> 00:31:39.079
And we are watching these debates unfold right
00:31:39.079 --> 00:31:41.640
now, not just with gene editing, but with neural
00:31:41.640 --> 00:31:44.700
interfaces and early AI to brain integrations.
00:31:44.720 --> 00:31:47.039
The sci -fi stuff becoming real. The technology
00:31:47.039 --> 00:31:49.799
is hitting the market today and bioethics boards
00:31:49.799 --> 00:31:52.180
are scrambling to figure out what it even means
00:31:52.180 --> 00:31:55.299
for human identity. The authors knew this gap
00:31:55.299 --> 00:31:57.680
between capability and wisdom would become one
00:31:57.680 --> 00:32:00.160
of the defining cultural and political battlegrounds
00:32:00.160 --> 00:32:03.000
of the 2020s. Speaking of battlegrounds, let's
00:32:03.000 --> 00:32:05.779
pivot to the macro level, the geopolitical cauldron.
00:32:05.940 --> 00:32:08.059
This is where their contrarian nature really
00:32:08.059 --> 00:32:10.339
shines. It really does. They covered everything
00:32:10.339 --> 00:32:12.799
from the risks of large -scale conflict and the
00:32:12.799 --> 00:32:15.619
integration of autonomous defense systems to
00:32:15.619 --> 00:32:18.700
mass starvation, severe climate stresses, and
00:32:18.700 --> 00:32:20.839
the intense energy transitions that are currently
00:32:20.839 --> 00:32:23.740
reshaping global power dynamics. We have to remember
00:32:23.740 --> 00:32:27.579
the mood of 1997. Right. To appreciate how contrarian
00:32:27.579 --> 00:32:30.400
this was, the Soviet Union had collapsed. Francis
00:32:30.400 --> 00:32:32.720
Fukuyama had famously declared the end of history.
00:32:32.880 --> 00:32:35.640
The ultimate victory of liberal democracy. Yes.
00:32:36.099 --> 00:32:38.559
The general consensus among the elite was that
00:32:38.559 --> 00:32:40.880
liberal democracy and free market capitalism
00:32:40.880 --> 00:32:44.680
had decisively won. We were entering a permanent
00:32:44.680 --> 00:32:48.119
era of global peace and economic integration.
00:32:48.839 --> 00:32:51.359
But the Hudson Institute authors looked at that
00:32:51.359 --> 00:32:55.339
consensus and flat out rejected it. Why? How
00:32:55.339 --> 00:32:57.450
did they know it wouldn't last? They rejected
00:32:57.450 --> 00:32:59.750
it because they were looking at the underlying
00:32:59.750 --> 00:33:02.410
resource constraints and historical cycles, not
00:33:02.410 --> 00:33:04.950
just the temporary political weather. Okay, that
00:33:04.950 --> 00:33:06.970
makes sense. While the rest of the think tank
00:33:06.970 --> 00:33:09.190
world was celebrating the permanent end of great
00:33:09.190 --> 00:33:12.109
power competition, these authors were methodically
00:33:12.109 --> 00:33:14.390
mapping its inevitable return. They explicitly
00:33:14.390 --> 00:33:17.210
warned of the lingering dormant risks of major
00:33:17.210 --> 00:33:19.769
systemic conflict and nuclear posturing. They
00:33:19.769 --> 00:33:21.950
knew the unipolar moment wouldn't last. Right.
00:33:22.319 --> 00:33:24.339
This brief window where the United States was
00:33:24.339 --> 00:33:27.279
the sole unchallenged global superpower was merely
00:33:27.279 --> 00:33:29.779
an anomaly to them. They saw that shifting economic
00:33:29.779 --> 00:33:31.980
power and resource demands would eventually give
00:33:31.980 --> 00:33:34.720
way to renewed intense frictions. And when we
00:33:34.720 --> 00:33:36.960
look at the current geopolitical landscape today,
00:33:37.099 --> 00:33:40.160
the devastating kinetic conflict between Russia
00:33:40.160 --> 00:33:43.440
and Ukraine, the intense high stakes brinkmanship
00:33:43.440 --> 00:33:46.359
surrounding Taiwan and the South China Sea. Their
00:33:46.359 --> 00:33:49.299
warnings echo with a chilling clarity. They really
00:33:49.299 --> 00:33:52.339
do. And crucially. They saw the changing nature
00:33:52.339 --> 00:33:55.380
of warfare itself. They predicted the integration
00:33:55.380 --> 00:33:58.900
of advanced defense technologies, heavily reliant
00:33:58.900 --> 00:34:01.839
on AI precursors and autonomous systems. They
00:34:01.839 --> 00:34:04.900
saw the automation of war. Yes. If you look at
00:34:04.900 --> 00:34:07.059
the footage coming out of modern conflicts today,
00:34:07.240 --> 00:34:10.340
it barely resembles the warfare of the 20th century.
00:34:10.559 --> 00:34:13.139
It's all drones. It is heavily defined by drone
00:34:13.139 --> 00:34:15.920
swarms. AI -enabled targeting systems that can
00:34:15.920 --> 00:34:18.460
identify and track assets faster than human cognition,
00:34:18.659 --> 00:34:21.800
and autonomous naval and aerial vehicles. The
00:34:21.800 --> 00:34:24.059
authors observed the R &D projectories in the
00:34:24.059 --> 00:34:25.820
90s, you know, the early military investments
00:34:25.820 --> 00:34:28.480
in machine learning and unmanned systems. They
00:34:28.480 --> 00:34:30.599
knew the battlefield of 2025 would be heavily
00:34:30.599 --> 00:34:32.860
automated. But the geopolitical cauldron they
00:34:32.860 --> 00:34:35.360
described wasn't solely focused on military -on
00:34:35.360 --> 00:34:37.280
-military conflict. No, the environment plays
00:34:37.280 --> 00:34:39.940
a huge role. Right. They saw that the greatest
00:34:39.940 --> 00:34:42.719
drivers of instability would be deeply tied to
00:34:42.719 --> 00:34:45.019
resources, demographics and the environment.
00:34:45.239 --> 00:34:47.639
They predicted that escalating climate stresses
00:34:47.639 --> 00:34:50.539
would fundamentally reshape economies. And drive
00:34:50.539 --> 00:34:53.239
migration. They foresaw that changing weather
00:34:53.239 --> 00:34:55.760
patterns and prolonged droughts would drive mass
00:34:55.760 --> 00:34:59.000
migration, leading to severe supply strains and
00:34:59.000 --> 00:35:02.400
even mass starvation in vulnerable, ecologically
00:35:02.400 --> 00:35:05.599
fragile regions. Which is heartbreakingly accurate.
00:35:05.659 --> 00:35:08.280
We see the cascading crises in places like the
00:35:08.280 --> 00:35:11.139
Sahel region of Africa right now. Where climate
00:35:11.139 --> 00:35:13.460
-affected, totally unpredictable crop yields
00:35:13.460 --> 00:35:16.340
are obliterating local economies. And driving
00:35:16.340 --> 00:35:19.070
mass displacement. which in turn fuels political
00:35:19.070 --> 00:35:21.670
instability and conflict. It's a vicious cycle.
00:35:21.889 --> 00:35:24.809
And there is a profound, cruel paradox here that
00:35:24.809 --> 00:35:28.050
the authors touched on. On one hand, human ingenuity
00:35:28.050 --> 00:35:30.750
has given us vertical farming, precision agriculture,
00:35:31.010 --> 00:35:33.550
and drought -resistant genetically modified crops
00:35:33.550 --> 00:35:36.409
that can produce incredible, unprecedented yields.
00:35:36.570 --> 00:35:39.250
We have the tech to feed everyone. But on the
00:35:39.250 --> 00:35:42.769
other hand... We have massive systemic food distribution
00:35:42.769 --> 00:35:45.510
inequities driven by political disruption and
00:35:45.510 --> 00:35:47.869
logistical bottlenecks. We have an abundance
00:35:47.869 --> 00:35:51.030
of food globally, but acute starvation locally.
00:35:51.210 --> 00:35:54.309
That paradox of abundant capacity blocked by
00:35:54.309 --> 00:35:57.599
systemic dysfunction. That is at the very heart
00:35:57.599 --> 00:36:00.420
of their geopolitical analysis. It's infuriating.
00:36:00.500 --> 00:36:02.860
It is. And it ties directly into their predictions
00:36:02.860 --> 00:36:05.719
regarding the global energy transition. They
00:36:05.719 --> 00:36:07.960
foresaw that the competition for critical resources
00:36:07.960 --> 00:36:10.719
would intensify exponentially. And not for oil.
00:36:10.920 --> 00:36:12.539
Right. They knew the chessboard was changing.
00:36:12.739 --> 00:36:15.760
The geopolitics of the 20th century were overwhelmingly
00:36:15.760 --> 00:36:18.920
dictated by the geography of fossil fuels, who
00:36:18.920 --> 00:36:21.239
controlled the oil reserves and the shipping
00:36:21.239 --> 00:36:23.800
lanes. But the geopolitics of the 21st century
00:36:23.800 --> 00:36:26.219
are being dictated by an entirely new... periodic
00:36:26.219 --> 00:36:28.860
table of elements. The green transition element.
00:36:29.059 --> 00:36:30.840
It's about who controls the lithium for high
00:36:30.840 --> 00:36:34.280
density batteries. The cobalt. The rare earth
00:36:34.280 --> 00:36:36.920
metals like neodymium required for the permanent
00:36:36.920 --> 00:36:39.179
magnets in wind turbines and electric vehicle
00:36:39.179 --> 00:36:41.960
motors. The green technology race is frequently
00:36:41.960 --> 00:36:44.320
framed purely as an environmental initiative
00:36:44.320 --> 00:36:47.340
to save the planet A noble cause. Right. But
00:36:47.340 --> 00:36:51.260
beneath that, it is the new cutthroat arena for
00:36:51.260 --> 00:36:54.579
great power competition. Processing rare earth
00:36:54.579 --> 00:36:58.000
minerals is incredibly toxic and complex, which
00:36:58.000 --> 00:37:00.659
is why supply chains are so vulnerable and concentrated.
00:37:00.960 --> 00:37:03.820
And this massive shift in resources and supply
00:37:03.820 --> 00:37:06.980
chains feeds directly into their analysis of
00:37:06.980 --> 00:37:09.400
economic globalization. They predicted globalization
00:37:09.400 --> 00:37:12.039
would accelerate massively. Driven by digital
00:37:12.039 --> 00:37:14.679
networks and cheap shipping, right? Which, of
00:37:14.679 --> 00:37:17.719
course, it did. But their critical insight was
00:37:17.719 --> 00:37:20.099
acutely predicting the backlash. The backlash
00:37:20.099 --> 00:37:23.800
is key. They warned that as supply chains globalized,
00:37:23.900 --> 00:37:26.119
the hyper -optimization would lead to rising
00:37:26.119 --> 00:37:29.000
domestic inequality, the hollowing out of local
00:37:29.000 --> 00:37:32.000
manufacturing industries, and a potent, deep
00:37:32.000 --> 00:37:34.420
-seated populist and political backlash. The
00:37:34.420 --> 00:37:36.699
rubber band analogy you use is perfect for this.
00:37:36.920 --> 00:37:38.719
Yeah, I always try to visualize globalization
00:37:38.719 --> 00:37:41.059
like stretching a giant heavy -duty rubber band
00:37:41.059 --> 00:37:43.360
around the globe. For a few decades, it worked
00:37:43.360 --> 00:37:45.579
miracles. It connected disparate economies, it
00:37:45.579 --> 00:37:47.780
made consumer goods incredibly cheap, and it
00:37:47.780 --> 00:37:50.039
ruthlessly optimized the global supply chain.
00:37:50.179 --> 00:37:52.500
But you can only stretch it so far. Exactly.
00:37:52.880 --> 00:37:55.380
The authors knew you can only stretch a physical
00:37:55.380 --> 00:37:58.659
system so far before the internal tension becomes
00:37:58.659 --> 00:38:01.199
unbearable. They knew the rubber band would eventually
00:38:01.199 --> 00:38:04.360
snap back. And when a rubber band snaps, it doesn't
00:38:04.360 --> 00:38:06.800
just gently return to its original shape. No,
00:38:06.840 --> 00:38:09.199
it violently whips back and stings whoever was
00:38:09.199 --> 00:38:12.170
pulling it. That sting is exactly what we are
00:38:12.170 --> 00:38:15.610
experiencing now. It's the trade wars, the tariffs,
00:38:15.789 --> 00:38:18.170
the desperate push for reshoring semiconductor
00:38:18.170 --> 00:38:21.550
manufacturing, and the intense political polarization
00:38:21.550 --> 00:38:24.170
we see erupting in democracies around the world.
00:38:24.539 --> 00:38:26.900
The snapback of the rubber band highlights the
00:38:26.900 --> 00:38:29.659
kinetic energy of the reaction perfectly. And
00:38:29.659 --> 00:38:32.079
that tension doesn't just affect macroeconomics
00:38:32.079 --> 00:38:34.320
and global trade, right? It fractures the very
00:38:34.320 --> 00:38:36.739
foundation of society itself. It really does.
00:38:36.940 --> 00:38:38.900
Which brings us to one of the most fascinating
00:38:38.900 --> 00:38:41.719
and prescient sections of their analysis. The
00:38:41.719 --> 00:38:44.260
societal mirror? The societal mirror. They took
00:38:44.260 --> 00:38:46.519
a hard look at demographic shifts, the mechanics
00:38:46.519 --> 00:38:49.179
of societal polarization, the rise of the attention
00:38:49.179 --> 00:38:52.420
economy, and the crucial existential need to
00:38:52.420 --> 00:38:54.699
preserve human knowledge. against the threat
00:38:54.699 --> 00:38:56.960
of what they called a great forgetting. Let's
00:38:56.960 --> 00:38:59.460
start with the hard math of demographics. Because
00:38:59.460 --> 00:39:02.119
it's purely mathematical. It is. They saw clearly
00:39:02.119 --> 00:39:04.639
that the developed world was going to age rapidly
00:39:04.639 --> 00:39:08.280
while simultaneously urbanizing. And this isn't
00:39:08.280 --> 00:39:11.000
just a social observation. It's a brutal economic
00:39:11.000 --> 00:39:14.800
math problem. The pyramid problem. Exactly. Historically,
00:39:14.880 --> 00:39:17.670
economies rely on a pyramid structure. You have
00:39:17.670 --> 00:39:20.409
a massive base of young, productive workers paying
00:39:20.409 --> 00:39:23.869
taxes and supporting a smaller top tier of retirees.
00:39:23.949 --> 00:39:26.070
But due to declining birth rates and increased
00:39:26.070 --> 00:39:29.400
longevity, that pyramid is inverting. We are
00:39:29.400 --> 00:39:32.579
seeing the massive structural strain on pension
00:39:32.579 --> 00:39:35.320
systems, health care infrastructure, and senior
00:39:35.320 --> 00:39:38.000
care in places like Japan, South Korea, and across
00:39:38.000 --> 00:39:40.679
Western Europe today. And when an inverted pyramid
00:39:40.679 --> 00:39:43.159
society can't rely on organic population growth,
00:39:43.340 --> 00:39:45.739
it forces incredibly hard politically explosive
00:39:45.739 --> 00:39:48.679
choices. Like immigration policy. Right. And
00:39:48.679 --> 00:39:51.400
the necessity of AI and robotics to fill labor
00:39:51.400 --> 00:39:53.860
shortages. And just how a culture fundamentally
00:39:53.860 --> 00:39:56.699
values its elders. The demographic shift creates
00:39:56.699 --> 00:40:00.179
this deep underlying economic anxiety. But it's
00:40:00.179 --> 00:40:02.559
their predictions regarding media, information,
00:40:02.780 --> 00:40:05.679
and polarization that really show how deeply
00:40:05.679 --> 00:40:07.860
they understood human psychology. Oh, this is
00:40:07.860 --> 00:40:09.639
the part that hurts to read because it's so true.
00:40:09.960 --> 00:40:13.420
In 1997, the internet was widely viewed as the
00:40:13.420 --> 00:40:16.760
great democratizer. A utopian vision. The assumption
00:40:16.760 --> 00:40:19.599
was that if everyone had equal access to all
00:40:19.599 --> 00:40:22.420
human knowledge, we would enter a new enlightenment.
00:40:22.960 --> 00:40:25.219
We would all become more educated, more rational,
00:40:25.340 --> 00:40:28.059
and more unified. But the Hudson authors predicted
00:40:28.059 --> 00:40:30.739
the exact opposite. They saw the echo chambers
00:40:30.739 --> 00:40:33.219
coming. Yes, they foresaw that information overload
00:40:33.219 --> 00:40:36.260
and new fragmented media forms would lead to
00:40:36.260 --> 00:40:38.579
severe societal polarization and deep cultural
00:40:38.579 --> 00:40:41.349
divides. long before algorithms controlled our
00:40:41.349 --> 00:40:43.710
news feeds, long before the concepts of Facebook
00:40:43.710 --> 00:40:46.070
or TikTok even existed. This might be their most
00:40:46.070 --> 00:40:49.250
profound, almost tragic insight. Let's break
00:40:49.250 --> 00:40:51.530
down the mechanics of why that actually happens.
00:40:51.710 --> 00:40:54.130
The shift from scarcity to abundance. Right.
00:40:54.210 --> 00:40:56.369
They realized that when information transitions
00:40:56.369 --> 00:40:59.710
from being scarce to being hyperabundant, a massive
00:40:59.710 --> 00:41:01.690
economic flip occurs. What becomes valuable.
00:41:01.929 --> 00:41:04.789
Exactly. In a world of scarcity, information
00:41:04.789 --> 00:41:08.059
is valuable. But in a world of infinite information,
00:41:08.480 --> 00:41:12.159
human attention becomes the scarce, highly contested
00:41:12.159 --> 00:41:14.300
resource. The attention economy. They essentially
00:41:14.300 --> 00:41:16.880
forecast the entire architecture of the attention
00:41:16.880 --> 00:41:21.380
economy. And they intuitively understood a dark
00:41:21.380 --> 00:41:25.179
truth about human neurology. Which is? The most
00:41:25.179 --> 00:41:27.880
efficient, cost -effective way to capture and
00:41:27.880 --> 00:41:30.659
hold human attention is not through nuance or
00:41:30.659 --> 00:41:33.659
complexity or objective truth. It is through
00:41:33.659 --> 00:41:36.940
outrage, fear, and tribalism. We are wired for
00:41:36.940 --> 00:41:39.719
it. We are. The algorithms we built didn't intend
00:41:39.719 --> 00:41:42.360
to polarize us. They just optimized for time
00:41:42.360 --> 00:41:45.019
on site, and our dopamine receptors did the rest.
00:41:45.179 --> 00:41:47.460
You're touching on the exact mechanism of our
00:41:47.460 --> 00:41:50.039
current epistemic crisis. Epistemic meaning how
00:41:50.039 --> 00:41:52.539
we know what is true. Right. They predicted the
00:41:52.539 --> 00:41:54.480
intense strain we are all feeling right now,
00:41:54.579 --> 00:41:57.539
the fundamental societal disagreement on basic
00:41:57.539 --> 00:41:59.860
observable facts. Because we don't share the
00:41:59.860 --> 00:42:02.579
same reality anymore. We don't. When people retreat
00:42:02.579 --> 00:42:05.079
into algorithmic echo chambers, they aren't just
00:42:05.079 --> 00:42:06.980
getting different opinions. They are being fed
00:42:06.980 --> 00:42:10.400
entirely different realities. And now you throw
00:42:10.400 --> 00:42:13.380
the accelerant of generative AI and hyper -realistic
00:42:13.380 --> 00:42:17.289
deepfakes into that already volatile mix. The
00:42:17.289 --> 00:42:20.409
very nature of truth, audio, and video evidence
00:42:20.409 --> 00:42:23.110
is challenged daily. Which makes their prediction
00:42:23.110 --> 00:42:26.050
regarding the preservation of knowledge so incredibly
00:42:26.050 --> 00:42:28.510
urgent. The great forgetting. They predicted
00:42:28.510 --> 00:42:31.250
that amid this rapid disorienting change and
00:42:31.250 --> 00:42:34.050
constant digital noise, the preservation of knowledge,
00:42:34.230 --> 00:42:36.849
historical context, and personal cultural archives
00:42:36.849 --> 00:42:39.829
would become an absolute necessity for societal
00:42:39.829 --> 00:42:42.349
survival. They understood that a highly connected
00:42:42.349 --> 00:42:46.610
digital society is, ironically, incredibly Because
00:42:46.610 --> 00:42:50.409
the feed always refreshes. Right. When everything
00:42:50.409 --> 00:42:52.750
is digital, when the feed refreshes every three
00:42:52.750 --> 00:42:55.170
seconds, and when data is constantly being overwritten
00:42:55.170 --> 00:42:57.949
or lost to server degradation, societal memory
00:42:57.949 --> 00:43:00.429
becomes incredibly fragile. We lose our anchor
00:43:00.429 --> 00:43:03.070
to the past. This is exactly why we are seeing
00:43:03.070 --> 00:43:05.289
a groundswell rise in personal knowledge management
00:43:05.289 --> 00:43:08.329
systems, localized oral history projects, and
00:43:08.329 --> 00:43:10.769
decentralized data storage. People are intuitively
00:43:10.769 --> 00:43:13.030
feeling the dizzying risk of this great forgetting
00:43:13.030 --> 00:43:15.269
and are desperately trying to anchor themselves.
00:43:15.900 --> 00:43:17.579
But here's where I really struggle with this,
00:43:17.639 --> 00:43:19.460
and I want your perspective. Okay, what is it?
00:43:19.539 --> 00:43:21.739
They predicted the need to preserve knowledge.
00:43:22.139 --> 00:43:25.260
But in our current era of generative AI, where
00:43:25.260 --> 00:43:27.920
a large language model has scraped and ingested
00:43:27.920 --> 00:43:29.940
practically the entirety of the public internet,
00:43:30.139 --> 00:43:32.360
isn't the actual problem that we have too much
00:43:32.360 --> 00:43:35.000
archived knowledge? We are drowning in data.
00:43:35.239 --> 00:43:38.460
Exactly. We have zettabytes of information. How
00:43:38.460 --> 00:43:42.159
do we preserve wisdom, not just raw data? That
00:43:42.159 --> 00:43:44.079
is the critical distinction we have to make to
00:43:44.079 --> 00:43:48.360
survive this era. Data versus wisdom. Yes. Data
00:43:48.360 --> 00:43:52.139
is just raw, uncontextualized information. It's
00:43:52.139 --> 00:43:54.699
the temperature reading of a room. Knowledge
00:43:54.699 --> 00:43:58.440
is organizing that data into a pattern. But wisdom
00:43:58.440 --> 00:44:01.460
is the ethical, historical, and contextual application
00:44:01.460 --> 00:44:03.400
of that knowledge. That's a great way to put
00:44:03.400 --> 00:44:05.599
it. The authors recognize that storing billions
00:44:05.599 --> 00:44:07.920
of terabytes of text on a server means absolutely
00:44:07.920 --> 00:44:10.460
nothing if the society loses the critical thinking
00:44:10.460 --> 00:44:13.320
skills to interpret it. A library is completely
00:44:13.320 --> 00:44:15.980
useless if no one knows how to read. So archiving
00:44:15.980 --> 00:44:19.960
wisdom is a human process. It has to be. Archiving
00:44:19.960 --> 00:44:22.199
wisdom doesn't just mean saving the data. It
00:44:22.199 --> 00:44:24.420
means preserving the human processes and ethical
00:44:24.420 --> 00:44:27.199
reflection. It means preserving the context of
00:44:27.199 --> 00:44:29.840
human stories, the debates that led to our laws,
00:44:29.940 --> 00:44:32.480
and the cognitive ability to distinguish profound
00:44:32.480 --> 00:44:35.840
meaning from algorithmic noise. Because an AI
00:44:35.840 --> 00:44:38.800
doesn't have wisdom. Exactly. An LLM can generate
00:44:38.800 --> 00:44:41.199
a perfectly structured essay on ethics, but it
00:44:41.199 --> 00:44:43.920
doesn't possess the wisdom to act ethically.
00:44:44.000 --> 00:44:46.710
Only human agency can do that. And that profound
00:44:46.710 --> 00:44:49.170
distinction between merely possessing incredible
00:44:49.170 --> 00:44:51.989
technology and possessing the wisdom required
00:44:51.989 --> 00:44:54.989
to wield it is the absolute core of our final
00:44:54.989 --> 00:44:58.010
section. Let's explore what the authors termed
00:44:58.010 --> 00:45:01.130
the abundance interregnum. The abundance interregnum.
00:45:01.150 --> 00:45:03.030
Let's get into it. This section covers their
00:45:03.030 --> 00:45:05.309
final overarching thoughts on systemic crises
00:45:05.309 --> 00:45:08.210
requiring global resects, the absolute necessity
00:45:08.210 --> 00:45:10.989
of lifelong education, the blending of public
00:45:10.989 --> 00:45:13.809
-private innovation ecosystems, the reality of
00:45:13.809 --> 00:45:16.690
black swan events. And ultimately, the unyielding
00:45:16.690 --> 00:45:19.269
importance of human agency. We really need to
00:45:19.269 --> 00:45:21.170
define that term because it frames everything.
00:45:21.530 --> 00:45:23.769
What's an interregnum? An interregnum historically
00:45:23.769 --> 00:45:28.469
refers to a pause or a gap in continuity. Usually
00:45:28.469 --> 00:45:30.809
it's the turbulent period between the reign of
00:45:30.809 --> 00:45:33.269
one monarch and the next, when the old rules
00:45:33.269 --> 00:45:35.809
no longer apply, but the new rules haven't been
00:45:35.809 --> 00:45:38.449
established yet. Ah, okay. The messy middle.
00:45:38.630 --> 00:45:41.530
Yes. The author saw that humanity was entering
00:45:41.530 --> 00:45:45.769
a massive generational transitional bridge. From
00:45:45.769 --> 00:45:47.869
what to what? Well, on one side of the bridge
00:45:47.869 --> 00:45:50.329
is the entirety of human history up to this point,
00:45:50.369 --> 00:45:52.269
which has been defined almost... Exclusively
00:45:52.269 --> 00:45:55.469
by scarcity. Right. For thousands of years, economics,
00:45:55.769 --> 00:45:58.170
politics, and daily life were dictated by the
00:45:58.170 --> 00:46:01.429
necessity of arduous physical labor just to extract
00:46:01.429 --> 00:46:04.070
enough calories and resources to survive. And
00:46:04.070 --> 00:46:05.869
on the other side. On the far side of the bridge
00:46:05.869 --> 00:46:07.889
is a potential future of radical technological
00:46:07.889 --> 00:46:11.369
abundance. A future where AI, advanced robotics,
00:46:11.590 --> 00:46:13.969
limitless synthetic biology, and cheap energy
00:46:13.969 --> 00:46:16.750
handle the heavy maintenance of society, potentially
00:46:16.750 --> 00:46:19.730
leading to an era of voluntary creation and unprecedented
00:46:19.730 --> 00:46:22.260
human flourishing. I mean, that sounds incredible.
00:46:22.440 --> 00:46:25.039
But the bridge itself, the interregnum we're
00:46:25.039 --> 00:46:27.920
walking across right now, feels incredibly dangerous.
00:46:28.239 --> 00:46:31.960
It feels structurally unsound? Yes. It's turbulent.
00:46:32.099 --> 00:46:35.440
It is intensely turbulent because the institutions,
00:46:35.780 --> 00:46:38.420
the laws, the economic models and the educational
00:46:38.420 --> 00:46:40.820
systems that we built for a world of scarcity
00:46:40.820 --> 00:46:43.579
are breaking down. They can't handle it. They
00:46:43.579 --> 00:46:46.039
are buckling under the weight of exponential
00:46:46.039 --> 00:46:48.940
change. And the new institutions needed to govern
00:46:48.940 --> 00:46:51.420
a world of abundance haven't been fully built
00:46:51.420 --> 00:46:54.900
yet. We are basically trying to regulate AI with
00:46:54.900 --> 00:46:57.199
laws written for the telegraph. That's why they
00:46:57.199 --> 00:46:59.500
predicted that systemic crises will periodically
00:46:59.500 --> 00:47:02.789
require. massive global resets in governance
00:47:02.789 --> 00:47:05.010
and economics. We've already seen them. We have.
00:47:05.170 --> 00:47:07.789
We saw a precursor to this during the 2008 financial
00:47:07.789 --> 00:47:10.829
crisis, which forced a reset in how we view banking
00:47:10.829 --> 00:47:13.469
risk. We saw another massive reset during the
00:47:13.469 --> 00:47:15.989
COVID pandemic, which forced a reset in how we
00:47:15.989 --> 00:47:18.250
view labor and supply chains. The friction generates
00:47:18.250 --> 00:47:21.190
constant sparks. Right. So the obvious question
00:47:21.190 --> 00:47:23.989
for the listener is, how do we survive the turbulence
00:47:23.989 --> 00:47:26.809
of this bridge? If the old structures are collapsing,
00:47:27.070 --> 00:47:29.929
what are the life rafts? The report gives us
00:47:29.929 --> 00:47:32.769
a few clear directives on this. Like what? One
00:47:32.769 --> 00:47:35.190
of the biggest is the mandate for lifelong education
00:47:35.190 --> 00:47:38.289
and workforce reskilling. Ah, the end of the
00:47:38.289 --> 00:47:40.570
four -year degree model. The 20th century model
00:47:40.570 --> 00:47:42.809
of going to school for four years, getting a
00:47:42.809 --> 00:47:45.730
degree, and doing one static job for 40 years
00:47:45.730 --> 00:47:49.469
is entirely dead. In an AI -driven economy, technical
00:47:49.469 --> 00:47:52.309
skills become obsolete every few years. But the
00:47:52.309 --> 00:47:54.969
irony is that the exact same technology causing
00:47:54.969 --> 00:47:57.349
the disruption provides the solution, right?
00:47:57.429 --> 00:48:01.099
Exactly. We now have access to AI tutors capable
00:48:01.099 --> 00:48:04.539
of infinitely patient, personalized instruction
00:48:04.539 --> 00:48:08.059
to help reskill the workforce at a massive global
00:48:08.059 --> 00:48:10.699
scale. Education transitions from a phase of
00:48:10.699 --> 00:48:13.679
life to a continuous state of being. And we won't
00:48:13.679 --> 00:48:16.079
navigate this transition through isolated individual
00:48:16.079 --> 00:48:18.420
effort alone. It'd have to be coordinated. Right.
00:48:18.500 --> 00:48:20.760
They emphasize that the scale of the challenges
00:48:20.760 --> 00:48:23.920
ahead requires new innovation ecosystems. They
00:48:23.920 --> 00:48:26.380
predicted a deep blending of public and private
00:48:26.380 --> 00:48:29.789
partnerships. Yes, we see this manifesting today
00:48:29.789 --> 00:48:32.329
with initiatives modeled after DARPA, where the
00:48:32.329 --> 00:48:34.409
government sets a massive audacious goal and
00:48:34.409 --> 00:48:37.170
provides funding, but relies on the agility and
00:48:37.170 --> 00:48:39.570
risk tolerance of the private sector to actually
00:48:39.570 --> 00:48:41.530
achieve it. We see that with space travel right
00:48:41.530 --> 00:48:44.570
now. And semiconductors. Look at the massive
00:48:44.570 --> 00:48:46.969
multi -billion dollar partnerships happening
00:48:46.969 --> 00:48:49.610
right now between governments and big tech to
00:48:49.610 --> 00:48:51.889
build out sovereign semiconductor infrastructure
00:48:51.889 --> 00:48:56.090
and secure AI foundational models. The challenges
00:48:56.090 --> 00:48:58.469
are too large for the state to solve alone. And
00:48:58.469 --> 00:49:00.889
too critical to leave entirely to the whims of
00:49:00.889 --> 00:49:03.369
the free market. But they also possess the humility
00:49:03.369 --> 00:49:06.230
to know that no matter how well we plan, no matter
00:49:06.230 --> 00:49:08.969
how robust our models are, the universe has a
00:49:08.969 --> 00:49:12.199
sense of humor. The wild cards. Yes. They explicitly
00:49:12.199 --> 00:49:14.840
built uncertainty into their foresight. You talked
00:49:14.840 --> 00:49:17.480
about the wild cards, the black swans. The point
00:49:17.480 --> 00:49:20.079
of foresight isn't to perfectly predict the wild
00:49:20.079 --> 00:49:22.719
card because, by definition, it is unpredictable.
00:49:23.159 --> 00:49:25.579
Right. COVID -19 was a wild card that took a
00:49:25.579 --> 00:49:28.300
decade of slow digital transformation and compressed
00:49:28.300 --> 00:49:31.300
it into a single frantic year. The goal wasn't
00:49:31.300 --> 00:49:33.639
to predict the wild card. The goal was to build
00:49:33.639 --> 00:49:36.380
a society, an economy, and a personal mindset
00:49:36.380 --> 00:49:38.960
that is anti -fragile enough to withstand the
00:49:38.960 --> 00:49:41.389
sh**. shock and adapt to the new reality. And
00:49:41.389 --> 00:49:43.849
that concept of adaptation leads us to what might
00:49:43.849 --> 00:49:46.030
be the single most important instruction in the
00:49:46.030 --> 00:49:49.750
entire 500 -page book, which it states that foresight,
00:49:49.889 --> 00:49:53.050
deep ethical reflection, and the creation of
00:49:53.050 --> 00:49:56.150
adaptive governance institutions will prove essential.
00:49:56.530 --> 00:49:59.670
Essential for survival. Yes, because the whole
00:49:59.670 --> 00:50:03.150
point of this massive multi -year project by
00:50:03.150 --> 00:50:05.650
the Hudson Institute wasn't to write a fatalistic
00:50:05.650 --> 00:50:07.969
prophecy. They didn't write it so people in the
00:50:07.969 --> 00:50:10.760
future could say, oh, wow, they were right. Then
00:50:10.760 --> 00:50:13.039
why write it? They wrote it to demonstrate a
00:50:13.039 --> 00:50:17.059
profound psychological truth. Awareness interrupts
00:50:17.059 --> 00:50:20.639
autopilot. Wow. Let's pause on that phrase. Awareness
00:50:20.639 --> 00:50:23.599
interrupts autopilot. That gives me chills, honestly.
00:50:23.820 --> 00:50:26.119
That's powerful. Because prediction by itself
00:50:26.119 --> 00:50:28.460
is just a mirror. It just passively reflects
00:50:28.460 --> 00:50:31.019
where the current momentum is taking us. If you
00:50:31.019 --> 00:50:32.880
are asleep at the wheel, a prediction will tell
00:50:32.880 --> 00:50:34.840
you exactly what time you're going to drive off
00:50:34.840 --> 00:50:37.079
the cliff. But foresight. Foresight provides
00:50:37.079 --> 00:50:39.329
the steering wheel. Foresight tells you to wake
00:50:39.329 --> 00:50:41.849
up, hit the brakes, and change course. That is
00:50:41.849 --> 00:50:44.250
exactly the distinction. The authors looked at
00:50:44.250 --> 00:50:46.849
the converging exponential technologies of 1997
00:50:46.849 --> 00:50:49.650
and they saw a landscape fraught with immense
00:50:49.650 --> 00:50:52.690
peril, yes, but they also saw a landscape of
00:50:52.690 --> 00:50:55.329
unprecedented possibility. They weren't doomers.
00:50:55.489 --> 00:50:58.559
Not at all. They believe deeply that if humanity
00:50:58.559 --> 00:51:01.300
became truly aware of the massive forces at play,
00:51:01.440 --> 00:51:04.519
the demographics, the technology, the geopolitics,
00:51:04.539 --> 00:51:07.659
we would leverage our agency to invent new institutions,
00:51:07.860 --> 00:51:10.659
new norms, and new philosophies to harness those
00:51:10.659 --> 00:51:13.260
forces for human flourishing. Which brings us
00:51:13.260 --> 00:51:16.400
to their ultimate concluding thesis. They stated
00:51:16.400 --> 00:51:20.139
that by 2025, society would be profoundly, irrevocably
00:51:20.139 --> 00:51:23.019
reshaped by science and technology into forms
00:51:23.019 --> 00:51:26.300
demanding deep resilience. ethical wisdom, proactive
00:51:26.300 --> 00:51:29.519
preparation, and most importantly, human agency.
00:51:30.239 --> 00:51:33.380
They didn't see a utopia or a dystopia. No. They
00:51:33.380 --> 00:51:35.440
explicitly stated that the future they were mapping
00:51:35.440 --> 00:51:37.739
would be neither a perfect frictionless utopia
00:51:37.739 --> 00:51:40.780
nor a doomed apocalyptic dystopia. It would be
00:51:40.780 --> 00:51:44.059
a complex, messy human landscape requiring active
00:51:44.059 --> 00:51:46.760
daily stewardship. It requires work. They didn't
00:51:46.760 --> 00:51:49.019
write this massive opus to scare people in 1997.
00:51:49.159 --> 00:51:51.400
They wrote it so that you, listening to this
00:51:51.400 --> 00:51:53.880
right now in this exact era they predicted, realize
00:51:53.880 --> 00:51:55.940
that you are not just a passive passenger strapped
00:51:55.940 --> 00:51:58.300
into a roller coaster. The astonishing accuracy
00:51:58.300 --> 00:52:00.639
of the Hudson Institute wasn't supernatural.
00:52:01.099 --> 00:52:04.860
It was the result of rigorous, methodical synthesis
00:52:04.860 --> 00:52:09.460
of converging trends, paired with a deep, unflinching
00:52:09.460 --> 00:52:11.840
understanding of human nature. Human nature is
00:52:11.840 --> 00:52:14.460
the constant. Always. They understood a fundamental
00:52:14.460 --> 00:52:17.559
truth. Technology does not determine our future.
00:52:17.719 --> 00:52:20.920
It merely expands the boundaries of what is possible.
00:52:21.139 --> 00:52:24.820
It is human choice. human ethics, and human courage
00:52:24.820 --> 00:52:27.360
that determine what kind of civilization we decide
00:52:27.360 --> 00:52:29.619
to build within those newly expanded boundaries.
00:52:30.019 --> 00:52:32.039
And as we wrap up this massive exploration, I
00:52:32.039 --> 00:52:34.739
want to leave you, the listener, with a final
00:52:34.739 --> 00:52:37.340
provocative thought to mull over on your commute
00:52:37.340 --> 00:52:40.239
or your walk or wherever you are right now. A
00:52:40.239 --> 00:52:42.539
call to action. Absolutely. The authors of this
00:52:42.539 --> 00:52:44.659
report managed to map the precise, intricate
00:52:44.659 --> 00:52:47.659
contours of the year 2025 using the incredibly
00:52:47.659 --> 00:52:50.500
limited primitive tools of 1997. They didn't
00:52:50.500 --> 00:52:52.500
even have Google. They didn't have Google. They
00:52:52.500 --> 00:52:54.320
didn't have massively parallel cloud computing.
00:52:54.579 --> 00:52:56.980
They didn't have large language models to synthesize
00:52:56.980 --> 00:52:59.579
data. They were reading physical white papers,
00:52:59.780 --> 00:53:02.760
looking at early static web pages, and debating
00:53:02.760 --> 00:53:05.300
in conference rooms. Analog foresight. Today,
00:53:05.420 --> 00:53:08.179
right now, you have access to local AI agents
00:53:08.179 --> 00:53:10.760
on your laptop that hold the synthesized sum
00:53:10.760 --> 00:53:13.579
of human knowledge. You have access to open source
00:53:13.579 --> 00:53:16.360
repositories of code, global communication networks
00:53:16.360 --> 00:53:18.719
that operate at the speed of light, and analytical
00:53:18.719 --> 00:53:21.119
tools that would make Herman Kahn weep with joy.
00:53:21.400 --> 00:53:24.380
It's an unprecedented toolkit. It is. If their
00:53:24.380 --> 00:53:26.599
awareness and foresight were that incredibly
00:53:26.599 --> 00:53:29.780
powerful 30 years ago with the tools of the 90s,
00:53:29.780 --> 00:53:32.420
what kind of future can you author right now
00:53:32.420 --> 00:53:34.900
using the tools they could only dream of? That
00:53:34.900 --> 00:53:37.119
is the question. Are you actively looking at
00:53:37.119 --> 00:53:39.480
the converging trends of today and designing
00:53:39.480 --> 00:53:42.110
your 2040? Or are you just waiting for 2040 to
00:53:42.110 --> 00:53:44.829
happen to you? The tools of creation, of foresight,
00:53:44.829 --> 00:53:47.690
and of immense leverage have been radically democratized.
00:53:47.809 --> 00:53:50.489
The capability is in your pocket. The responsibility
00:53:50.489 --> 00:53:53.570
is now entirely on us. It is a profound, almost
00:53:53.570 --> 00:53:56.329
overwhelming responsibility, but it is also deeply
00:53:56.329 --> 00:53:59.030
empowering. Prediction reveals the momentum of
00:53:59.030 --> 00:54:01.690
the system, but awareness reveals our power to
00:54:01.690 --> 00:54:05.090
choose. The 2025 world they so brilliantly imagined
00:54:05.090 --> 00:54:07.929
has arrived. It is here. But the decades that
00:54:07.929 --> 00:54:10.130
follow remain completely beautifully unwritten.
00:54:10.539 --> 00:54:12.780
And a massive final reminder as we close this
00:54:12.780 --> 00:54:15.960
out. None of us would be exploring this incredible
00:54:15.960 --> 00:54:18.940
predictive map of the present. None of us would
00:54:18.940 --> 00:54:21.260
be having this realization about our own agency
00:54:21.260 --> 00:54:24.300
without Brian Rommel. He is doing the vital work.
00:54:24.460 --> 00:54:27.619
He is. Finding, contextualizing, and sharing
00:54:27.619 --> 00:54:30.539
this kind of foundational work is exactly how
00:54:30.539 --> 00:54:33.159
we build the collective awareness needed to steer
00:54:33.159 --> 00:54:36.179
the ship. So please, if you value this kind of
00:54:36.179 --> 00:54:38.679
deep synthesis, support Brian. Become a member
00:54:38.679 --> 00:54:41.750
at readmultiplex .com. Go buy him a coffee. Please
00:54:41.750 --> 00:54:44.070
do. Yeah. He is out there doing the essential,
00:54:44.250 --> 00:54:47.429
exhausting, deep archival work so we do not succumb
00:54:47.429 --> 00:54:49.929
to that great forgetting we talked about. Imagine
00:54:49.929 --> 00:54:52.110
picking up a history book about the future. It's
00:54:52.110 --> 00:54:53.750
up to us to make sure the next one is a story
00:54:53.750 --> 00:54:55.769
we actually want to read and a world we actually
00:54:55.769 --> 00:54:57.630
want to live in. Well said. Thanks for diving
00:54:57.630 --> 00:55:00.010
deep with us today. Keep your eyes open. Question
00:55:00.010 --> 00:55:02.969
the momentum. Stay infinitely curious. And we
00:55:02.969 --> 00:55:03.769
will see you next time.