II: Learning as Capital Allocation
Series II: The Personal Operating System of the Next Decade
The Discipline of Strategic Ignorance probably sounds better but anyway…
I have a confession: I was terrible at learning.
Not at absorbing information. I followed trends. I could talk fluently about all kind of bullshit and my brain stores data easily. And almost none of it mattered. It was collecting. I was the intellectual equivalent of someone who buys furniture without ever deciding what kind of house they’re building. Every piece was interesting. None of it was load-bearing.
If Part I of this series argued that you should treat yourself like a holding company, Part II is about how that holding company invests in its most fundamental asset: what it knows and how it thinks.
The question “what should I learn?” is the wrong question.
It sounds reasonable but it’s based on a model of the world that doesn’t exist anymore where knowledge is scarce, where knowing more gives you an edge, and where learning is essentially additive: stack more skills, get more valuable.
That model died somewhere around the time ChatGPT could pass the bar exam.
The question isn’t what you should learn. The question is: what cognitive edges compound in a world where execution is automated?
That’s a capital allocation question, not a curiosity question. And it demands a completely different framework.
Here’s how I think about it now. I structure my learning like a three-tiered portfolio. Not because I’m constitutionally incapable of doing anything without a stupid metaphor, but because the portfolio structure forces a discipline that curiosity alone doesn’t.
Layer 1: Timeless Primitives
These are the things that never depreciate. And most of the best primitives don’t come from business at all.
Start with history. Not the dates-and-battles kind. The structural kind. Thucydides writing about the Peloponnesian War is the most lucid analysis of how power, fear, and self-interest drive nations into catastrophic decisions that has ever been written. And it applies to every boardroom I’ve ever sat in. The history of the Ottoman Empire’s decline teaches you more about how institutions rot from within than any Harvard case study. The fall of the Roman Republic, the actual mechanics of it, not the Netflix version, is essentially a manual for understanding how systems that look stable can collapse when incentive structures break.
Then philosophy. Not as decoration, not as something to quote at dinner parties; we all know that Korean philosophers are getting you the wrong ladies. Due it as an operating system. Incentive design is just applied Hume: people act on passion and rationalize with reason. Hannah Arendt’s distinction between labor, work, and action is the sharpest framework I know for understanding why some careers feel like treadmills and others feel like they’re building something that will outlast you. Epistemology (how we know what we know, what counts as evidence, how certainty works) is the most useful discipline for anyone making decisions under uncertainty. Which is everyone, always.
And pure science. Not to become a physicist, but because the mental models are unmatched. Probability theory and Bayesian reasoning are the foundations of every good investment decision, every good strategic bet, every honest assessment of what you actually know versus what you think you know. Thermodynamics (specifically entropy) teaches you that all systems tend toward disorder unless energy is actively invested in maintaining them. That’s not a metaphor. That’s a law. It applies to companies, relationships, reputations, and your own body. Complex systems theory (feedback loops, emergence, nonlinear effects…) is the single best lens for understanding why the world doesn’t behave the way spreadsheets predict it will.
Then, yes, there are the business primitives too. Power dynamics and how they actually operate beneath the polite surface. Brand equity and what it does at the neurological level. Network effects and their decay curves. Capital flows and what they reveal about where real conviction exists versus where people are performing conviction. Governance: how decisions actually get made in organizations, families, nations.
But notice the order. The humanities and the sciences come first, because they’re the deepest layer. Business knowledge is applied knowledge. Useful, but it’s downstream of more fundamental ways of understanding how humans behave, how systems work, and how the world is actually structured. If you only read business books, you’ll think like a businessperson. If you read Thucydides and Arendt and understand entropy, you’ll think like someone who happens to do business. The difference is enormous.
These primitives are the intellectual equivalent of owning infrastructure. They don’t generate excitement. They generate returns across every market cycle, every technology shift, every hype wave. I spend roughly 50% of my learning time here, which sounds boring because it is. But being boring about the right things is an underrated form of intelligence.
Layer 2: Transitional Leverage
These are the things that matter enormously right now but have a half-life. They’ll be essential for the next five to ten years, and then they’ll either be fully absorbed into how everyone operates or they’ll be superseded by something else.
Right now, my Layer 2 includes: AI systems thinking (not prompt engineering, which is a skill with the shelf life of a banana) but the architectural understanding of how AI systems are designed, where they fail, and what organizational structures they require. Distribution economics, so how attention flows online and how that flow is monetized. Platform mechanics: the specific dynamics of marketplace and aggregator businesses. And Financial engineering literacy, ergo enough to understand how deal structures, capital stacks, and incentive alignment actually work in practice.
I allocate maybe 30% of my time here. This is where I’m building the skills that make me useful in a room today. The risk is obvious: these skills depreciate. But if you’re aware of the depreciation and you’re cycling them consciously, the returns in the short term are enormous.
Layer 3: Rotational Bets
These are speculative. They’re the domains I study not because they’re useful now, but because I think they’ll be central in five to ten years and the mainstream is not paying attention to them yet.
My current rotational bets: nuclear energy and its renaissance as a strategic asset. Defense technology and the way it’s reshaping geopolitical leverage. Longevity science but not as wellness content, as an asset class. The economics of luxury scarcity in a world of infinite digital reproduction. Sports IP as the most undervalued cultural and financial asset on the planet. AKA, what your Twitter feed should gravitate around.
I spend about 20% of my learning time here. Most of these bets will be, at least, premature. That’s fine. The point of a speculative allocation isn’t to be right about everything. It’s to ensure that when the world shifts, you’re not starting from zero. You’re starting from a position where you’ve been thinking about the new territory for years before the crowd arrives.
Here’s the part that I think matters more than the portfolio itself. The real skill that almost nobody practices is knowing what not to learn.
Rick Rubin describes himself not as a music producer but as a “reducer.” His job, as he sees it, isn’t to add things to an album. It’s to strip away everything that isn’t essential until what remains is undeniably true. When he worked with Johnny Cash, he didn’t layer on production. He removed it. The result was some of the most powerful recordings of the twentieth century.
I think learning works the same way. The default mode for ambitious people is additive: learn more, read more, follow more, know more. And the result is the intellectual equivalent of an overproduced album — a lot of noise, very little signal, and no discernible identity.
Strategic ignorance is the discipline of looking at a trend, a technology, a domain, a skill, and deliberately deciding: I am not going to learn this. Not because it’s uninteresting. Not because it’s unimportant. But because spending cognitive capital on it would dilute my position in the areas where I have or am building an actual edge.
I’ll give you a concrete example. I have deliberately not learned to code. This sounds almost heretical in 2026. Every thought leader, every productivity guru, every “future of work” article will tell you that coding is essential. And for many people, it is.
But for me. My edge is in strategic synthesis, uniqueness evaluation, and cross-domain pattern recognition so learning to code would be a capital allocation mistake. Not because coding is worthless. Because the time I’d spend getting mediocre at Python would be time not spent deepening the skills where I’m already differentiated. The opportunity cost is the compounding I’d lose on the things that are actually building my position. Learn to make yourself inevitable.
There’s a deeper point here about how learning relates to identity. The old frame for learning is “what should I learn?” and it’s based on linear curiosity. The new frame is “what cognitive edges compound?” and it’s based on strategic skill stacking.
But I want to push even further. The deepest frame isn’t about skills at all. It’s about what kind of thinker are you becoming?
Sequoia Capital’s scout program is instructive here. Sequoia gives capital to people who aren’t professional investors and lets them make small bets on startups. The scouts don’t succeed because they learn to evaluate pitch decks the way VCs do. They succeed because they bring a fundamentally different way of seeing.
Your learning portfolio should work the same way. The goal isn’t to accumulate skills like a generalist collecting merit badges. The goal is to build a way of seeing that’s so specific to your combination of experiences, domains, and intellectual obsessions that no one else can replicate it.
Every quarter, I review my learning. It’s embarrassingly simple:
First, I list everything I spent meaningful time learning in the past three months. Books, conversations, courses, rabbit holes, deep dives… all of it.
Second, I classify each one: is this a Primitive, a Leverage, or a Bet? If it doesn’t fit any of those tiers, it’s entertainment. Entertainment is fine. I’m not a monster. But it shouldn’t be confused with investment.
Actually, let me stay on this for a second, because I said something similar in Part I and I don’t want to contradict myself without acknowledging it.
Some of the most useful things I’ve ever learned came from places that had absolutely no business being in any portfolio. I once spent an entire weekend reading about the history of Venetian glassmaking. No reason. No thesis. I’d stumbled onto it through a footnote in something else and couldn’t stop. It was the intellectual equivalent of eating an entire cake at 2am: zero justification, just compulsion.
Months later, in a conversation about brand authenticity, the Murano glass story came back to me unbidden. The way Venetian authorities confined glassmakers to an island to protect trade secrets. The tension between artisan autonomy and state control of scarce knowledge. The economics of artificial scarcity centuries before anyone called it a “moat.” It became the spine of an argument I made to a client about why certain heritage brands can’t be replicated by private equity playbooks. I would love to tell you I planned that. I didn’t. It was pure accident.
And this is the honest tension at the heart of any learning framework: some of the best intellectual capital you’ll ever build comes from following curiosity with no destination in mind. The rabbit hole you fell into because it was 11pm and you couldn’t sleep. The conversation that went sideways into a topic neither of you intended to discuss. The book you picked up because the cover looked interesting.
The framework can’t account for this. If it tried to, it would ruin it. The whole point is that it’s ungoverned. The framework is for the 80%. The other 20% should be feral. Read, watch, listen whatever you want. Do nothing. Look the paint dry. Follow the footnote. Let yourself be bad at having a thesis sometimes.
The quarterly review is for the 80%. Here’s how mine works:
First, I list everything I spent meaningful time learning in the past three months. Books, conversations, courses, rabbit holes, deep dives.
Second, I classify each one: is this a Primitive, a Leverage, or a Bet? And yes, some things will land outside the tiers. That’s allowed. That’s healthy. That’s what keeps you from turning into the person who can’t read a novel without asking what the ROI is.
Third, and this is the part that matter, I ask: what did I learn that I should have skipped? The things that pretended to have a purpose. What trend did I follow out of FOMO rather than conviction? What rabbit hole ate four hours and produced nothing, and wasn’t even enjoyable on its own terms?
That’s the real distinction. Purposeless learning that delights you is not a waste. It’s the part of being alive that makes the framework worth having. Learning that pretends to be strategic but is really just anxiety in a trench coat: that’s the waste.
Wittgenstein wrote that the limits of your language are the limits of your world. I think something similar is true about learning: the limits of what you choose to know define the boundaries of what you can see.
But boundaries are not always constraints. Sometimes they’re the thing that gives your perspective its shape. Your learning portfolio should feel the same way. Not wide. Not narrow. Specific. Specific enough that when someone encounters your thinking, they know immediately that it could only have come from someone with your exact combination of knowledge, experience, and deliberate gaps.
The deliberate gaps are the point. What you choose not to know is as much a part of your intellectual identity as what you choose to learn. And in a world where AI makes all knowledge accessible, the thing that can’t be replicated isn’t what you know but the specific architecture of your knowing.
Design it like a portfolio. Allocate it like capital. And have the discipline to pass on things that are interesting but don’t compound.
That’s not anti-intellectual. That’s the most intellectual thing you can do.
If you know someone who reads everything and builds nothing, send them this. It might save them a decade.