Don't Seek Your Homeland — Seek Fertile Ground

Everyone who wants to get out, switch tracks, or figure out where to place the next ten years of their life eventually collides with the same voice: go home.

Home has gravity. It needs no argument; it comes pre-loaded with warmth — the familiar language, the rate at which your parents are aging, the safety of watching everyone your age crowd into the same handful of big cities. I won't pretend I'm immune to that pull. Honestly, my attachment to home probably runs deeper than most people's.

But I'm also less willing than most people to lie to myself.

So this piece argues something unflattering: going home is a feeling, not a strategy. And the single most irreversible investment a young person makes — their youth — should not be allocated by feeling. It should be allocated by ROI. I'm not asking where I want to live. I'm asking a colder question: this anti-fraud project in my hands, this skill set, these few years — on which patch of earth does deploying them pay the most?

Your homeland is not necessarily fertile ground. Chinese collapses these two ideas into one word, 故土, and pulling them apart is the first thing I want to do here.

A decision that dresses feeling up as reason

Watch how people around you decide "where to build a career" and you'll spot a universal cognitive error: they stack three completely different things into one vague sense of appeal, then pull the trigger on that feeling.

"AI is hot" + "big cities have more opportunity" + "I can probably make it" → go do AI in a top-tier city.

Sounds airtight. But those three sentences don't even live on the same axis — one is about industry timing, one is about a country's macro cycle, and "I can probably make it" has no data behind it at all. It's self-hypnosis. Stacked together they're not reasoning; they're an answer feeling already chose.

So I forced the fog into a formula. I call it YVI — the Youth Value Index:

YVI = (personal-capability arbitrage × country-cycle arbitrage × industry-cycle arbitrage) ÷ risk

Three terms multiplied in the numerator, one denominator underneath. Each term gets its own question and its own criteria — the rest of this piece answers them one by one.

Question one: Am I actually scarce?

Value comes from scarcity, and scarcity isn't absolute — it's your distance from the people around you.

Sequoia's Alfred Lin has a much-quoted line about wanting people who sit several standard deviations above the mean. Crude, but it nails the essence: your value isn't set by your absolute level. It's set by the gap between you and the local median.

This is exactly why "go do AI in the US" is a bad idea for me. Drop my stack — network security plus agent engineering plus GEO — into Silicon Valley and I'm a decent-ish engineer. The denominator is too strong; that gap gets flattened toward zero. There, I'm not scarce. I'm just a drop in the ocean.

But take that same stack into a country where the cybersecurity market is barely off the ground, where almost no one understands agent systems, where governments and financial institutions are being overwhelmed by fraud — and the gap snaps wide open. Same me, completely different σ.

Here's the first counterintuitive point: other people's strength isn't your opportunity. Their weakness is. What you should hunt for isn't "the most impressive place." It's the place where your distance from the local median is widest and that distance can be cashed in.

A warning the logic itself hands you: σ isn't "the higher the better" either. If you're absurdly scarce somewhere — say, the only person in the country who can do a given thing — that's usually bad news. It tends to mean nobody goes there, and nobody goes there mostly because once you arrive, you can't get your money out. Hold that thread; it's the last question.

Question two: Where is this land in its life cycle?

This is where I diverge hardest from the "go home" camp, and it's the heart of the title — respect the cycle. Stop fighting it head-on.

Countries have phases. Pre-takeoff, takeoff, maturity, window-closed, aging — a nearly irreversible curve. Lay Rostow's takeoff stages, the demographic-dividend window, and the long-wave position on top of each other, and you can read, roughly, which segment a country sits in right now.

And once you read it, something brutal shows up: a lot of "respectable" destinations have already walked past their sweetest stretch. The dividend window has shut, the market is saturated, every seat is filled by people who arrived a decade before you. Going there means running forward on a decelerating conveyor belt.

Vietnam, Indonesia, India, Bangladesh — these sit in the takeoff-plus-open-dividend phase. That's not my preference; it's the phase itself. Infrastructure being laid, policy being written, the first big money coming in, the entire society's demand curve bending steeply upward.

The analogy "Bangladesh today ≈ Shenzhen in 1980" is crude, obviously, but it points the right direction: rather than be a drop in the ocean of a mature market, be an early arrival in a rising one.

You say you want to go home. I get it. But if home happens to sit on the downslope of the curve, the act of going home is itself fighting the cycle head-on. The cycle will not step aside because you have feelings.

Question three: Is the industry's timing right? — and it doesn't care which country

After the first two questions there's an independent axis, the one most easily overlooked: an industry has its own phase, and that phase isn't bolted to any single country.

It's single-peaked — too early fails, too late fails. Too early (no infrastructure, the market needs you to spend your own money educating it) and you burn out. Too late (the giants have arrived, valuations have detached from revenue, red ocean) and you can't grab a seat. The sweetest point is at the turn: the first large capital coming in, policy just landed, but the high ground not yet occupied.

"AI" as a blanket label has more or less passed that sweet spot — the giants already hold the high ground. But the sub-tracks inside AI — agent commerce, GEO, security education aimed at emerging markets — may be sitting right on that turn.

The anti-fraud B2G/B2B work I do is one of those tracks. Fraud is exploding alongside the spread of digital payments and smartphones, while the defensive side — systematic security education aimed at governments, NGOs, financial institutions — is nearly empty. Doing security awareness through short-form video plus interactive simulation games: the entry window for that is open, now.

The key is that this question is decoupled from the country question. A good track can be ported across multiple countries in a rising phase. That gives me something the "go home" camp doesn't have: optionality. I'm not binding my fate to one patch of land. I'm holding an industry capability whose timing is right, and choosing which fertile ground best fits it.

Closing the loop: standardize the risk after you choose

By now the first three questions — the whole numerator of YVI — have answered the same thing: where, today, the arbitrage is. I'm scarce enough, the land is rising, the industry's window is open. Three green lights.

But if the piece stopped here and shouted "so, Bangladesh," I'd be no different in substance from the "AI is hot, so I'm going" crowd — I'd just have swapped my self-hypnosis for a more refined script.

What actually separates this from a gut call is the last step: standardize the risk, and put it in the denominator where it belongs. Picking a location isn't only about how seductive the upside is. You have to nail down the downside at the same time.

I compress it into two concrete, line-by-line scorable things:

First: can the value be captured at all? This is where I press hardest. It breaks into four sub-items you can all find data for — is there rule of law, can contracts be enforced? Can capital be legally repatriated? Does cross-border payment infrastructure exist? Are the target customers reachable?

Why press hardest here? Because this is precisely where every "fly far away" narrative suffers collective amnesia. People excitedly compute "how scarce I'll be there" and "how fast it's growing," and forget the most basic sentence: how does the money come back? You can be a σ=5 genius somewhere, the market can be flying, but if contracts can't be enforced, money can't be wired out, customers can't be found — all of it is paper wealth. A bad check that never clears.

This item is not a marginal correction. It's a ceiling. Any height of scarcity, any quality of cycle, multiplied by a near-zero "can't get it back," zeroes the whole thing out.

And the reason I dare choose Bangladesh is exactly that my project structurally sidesteps that ceiling: B2G/B2B anti-fraud settles through multilateral channels — the World Bank, ADB, AIIB — not through a fragile local capital account. I'm not ignoring "how does the money come back." I chose a track structure where that question isn't fatal. That's active design, not luck.

Second: can you survive long enough to prove yourself? The same money buys more rounds of trial-and-error in a lower-income country — you earn in relatively hard currency, spend at local cost, and the runway stretches. But this item demands restraint: a long runway doesn't mean you'll make it; it just buys you more attempts, and it shouldn't be pulled out on its own as a reason to go anywhere. So I weight it far below "can the money come back." Cheap is seductive, but cheap countries are often exactly the ones where the money can't come back — those two negatives tend to show up together.

Standardize these two, quantify them, fold them into the equation, and multiply them against the three earlier green lights —

Why must it be multiplication? Because these are constraints in series; any link near zero drags down the whole. If you added them, "off-the-charts scarcity + money you can't repatriate" could still score high, and paper wealth would get rewarded. Multiplication forbids that self-deception: your weakest link sets your ceiling.

Computed this far, Bangladesh surfaces — not because it's the most dazzling on any single item, but because it has no item near zero: scarcity sufficient, cycle right, industry timing open, and a track structure that routes around the most lethal ceiling.

So

I didn't build YVI to make the decision for me. It can't do that, and it shouldn't.

It does exactly one thing: it stops me from lying to myself. It makes it impossible to keep secretly rewriting "I want to go home" as "I should go home," impossible to keep stacking three different axes of appeal into one fuzzy impulse, impossible to keep pretending I can't see the question "how does the money come back."

Back to the title. Seeking your homeland is letting feeling allocate your youth. Seeking fertile ground is recognizing — clearly — that youth is the highest-ROI and least reversible investment you'll ever make, and it deserves a calculation cold to the point of cruelty.

This isn't to say feeling doesn't matter. My attachment to home is real, and it exists as a filter I lay on top after the ranking is done. But I won't let it climb into the equation and contaminate a judgment that should stay clean.

Understand this approach and the number of people making choices won't go up. But the number making the wrong choice will go down.

And I will plant my youth in fertile ground — even if it isn't home.