I got a DM last week from a guy who'd read my piece on the Three Pillars of Leverage—capability, demand, capital. He said he understood it intellectually but couldn't figure out why he was still stuck.
I asked him one question: "How much would someone pay to replace you tomorrow?"
He paused. Then he gave me the tell: "Well, my skill set is definitely in demand..."
That's when I knew the problem. He was thinking about demand like it's a light switch—on or off, yes or no. "Does someone want what I do?"
But demand isn't binary. It's a spreadsheet. It's: How badly do they want it? How many other people can provide it? Exactly how much are they willing to pay before they just hire the cheaper person?
This one confusion explains almost every career frustration I see. It's why saving a million dollars feels impossible while earning a million sounds trivial on Twitter. On the internet, nobody's bidding against you. In reality, the moment you ask for $10,000, someone else offers $9,000. Then $8,000. Then someone offers to work the probation period for free just to get the foot in.
The market is an auction house where most people don't even know they're on the block.
Why I Walked Away From the Prestige Trap
People still ask me why I left my corporate job in 2012. Or why I didn't join a big tech giant in 2015 when everyone else was sprinting toward the campus cafeterias and stock vesting cliffs.
The honest answer is I did the math. Not the emotional math—the actual math.
In 2011, I was an architect at a massive, prestigious corporation. The kind of place that looks incredible on a business card. My parents were proud. My friends were jealous. But here's what I realized after about eighteen months: The company's prestige was not my prestige. The only thing that actually belonged to me was my base salary. No equity. No upside. Just a number that showed up in my account every month, minus tax.
And the competition for that number was vicious. Not technical competition—emotional competition. If you were willing to absorb abuse with a smile, there were ten people willing to absorb it with a grin. If you were willing to travel three weeks a month, there was someone willing to travel four. If you were willing to fake enthusiasm for a strategy you knew was stupid, there was someone willing to actually believe it.
Kissing up wasn't a competitive advantage. It was the table stakes to keep your seat at the table. And even if you mastered it, there was no guarantee you'd make it to the C-suite. Just a guarantee that you'd spend your thirties exhausted.
The "Background" Is Just a Corporate Amex
People love to say corporate success is about "background." Rich parents. Connections. The old boys' network.
They're not wrong, but they're misunderstanding the mechanism. A powerful background isn't a magic spell. It's a corporate credit card paid by someone else.
When an elite firm hires a mediocre kid with a famous last name, they're not doing charity. They're running a calculation: The parents will eventually pay this bill through an IPO pipeline, a corporate deal, a relationship we need. The firm is essentially hiring a futures contract on someone else's network.
If you don't have that background, they'll still hire you—but only if their calculation says you'll generate 10x your salary in value. There's no favors. Every smile, every promotion, every "opportunity" has a price tag. You either pay the mortgage upfront with your parents' connections, or you pay it off over thirty years with your own blood.
I didn't have the background. So I had to look at the actual numbers.
The Two Formulas
In 2011, I had two income streams. Stream A was my prestigious corporate salary—stable, predictable, socially validated. Stream B was the profit I made exploiting high-frequency trading arbitrage in international markets—completely invisible to my colleagues.
Stream B was four times larger than Stream A.
That's not a feeling. That's a ratio. And when you have a ratio like that, the emotional attachment to the business card starts to look ridiculous. I wasn't leaving because I was "entrepreneurial." I was leaving because Formula B mathematically crushed Formula A.
In 2015, when everyone was joining Big Tech, I ran the same calculation. Even using the most optimistic assumptions—rapid promotion, no layoffs, stock price at all-time highs for a decade—the total lifetime expected value of that career was still lower than the worst-case scenario of my trading and tech ventures.
When the math is that lopsided, the decision makes itself. The hard part isn't choosing. The hard part is looking at the numbers honestly when everyone around you is celebrating the wrong formula.
What They Actually Want From You
Here's the quantitative reality nobody puts in the job description.
If you work for a traditional corporation, they don't need you to invent new revenue streams. They need you to provide emotional value—obedience, stability, political loyalty, the ability to absorb stress without leaking it upward. They need you to be predictable more than they need you to be brilliant.
If you work for Big Tech, they don't care about your feelings. They need to extract surplus value—code, output, hours, intellectual property. They need you to produce more than you cost, and there's an army of 24-year-olds waiting to replace you the moment your output dips or your equity cliff hits.
In both cases, you're not irreplaceable. You're a row in a spreadsheet being optimized.
The Real Survival Skill
So how do you escape?
First, stop asking "Is my skill in demand?" and start asking:
- Exactly how many people can do what I do at my level?
- How much cheaper is the next best alternative?
- What would it cost them to replace me tomorrow?
- Am I being paid for my judgment, or just my compliance?
If the answers scare you, good. That means you're seeing the market clearly for the first time.
The people who survive this aren't necessarily the smartest or the hardest working. They're the ones who can accurately calculate their own replacement cost and make sure they're priced below it while building equity somewhere else.
If the math doesn't work—if you're being extracted more than you're extracting—stop playing their game. Build your own table. The auction house will keep running without you.
— James, Mercury Technology Solutions, Hong Kong, May 2026
