Part 2 of 7 in the Income 101 Series. Part 1.0 argued that income is a vote for optionality, not a number. This article turns that lens into a four-attribute checklist you can score any job against (current, prospective, or imagined). The series is structured as Foundation (1.0, 1.1) → Strategy (2.0) → The Three Economies (3.0, 3.1, 3.2) → Synthesis (4.0).
Table of Contents
- Where this article sits
- The thesis: a good job is a portfolio of four attributes
- Attribute 1: flexibility
- Attribute 2: leverage
- Attribute 3: uniqueness vs top-1% vs mechanical
- Attribute 4: a living industry, not a dying one
- The scorecard: how to actually grade a job
- Part 1.1 Takeaways
- Your Baseline Task List
- Sources & references
Why four attributes, and why these four?
Because they are the four that the market rewards over a multi-decade horizon, not the four that LinkedIn rewards in a quarter. Flexibility decides how much of your life you keep. Leverage decides how much of your skill scales. Uniqueness decides how replaceable you are. A living industry decides whether your effort is compounding with the tide or fighting it. A job that is strong on all four is rare and worth chasing. A job that is weak on three of them is what the default career path is full of, and it is what this article is built to help you avoid.
Where this article sits
Part 1.0 argued that income is graded on optionality, not on the size of the number. This article is the checklist. Every job (current, prospective, side-project) gets scored on the same four attributes. The scorecard is what makes the abstraction usable: instead of “is this a good role?”, the question becomes “does this role earn at least 3 out of 4 attributes, and is the missing one fixable?”
The four attributes also map cleanly to the three economies that the rest of the series will explore:
- The First Economy (the Climb) maximises leverage and living industry, and partially earns flexibility as you accumulate seniority.
- The Second Economy (the Build) maximises flexibility, leverage, and uniqueness directly, at the cost of stability in the early years.
- The Third Economy (the Catering Game) earns flexibility in the short term but tends to fail on leverage, uniqueness, and industry. (Part 3.2 is the dissection.)
The unit of analysis is a role, not a company
A company can be on a dying industry while one specific role inside it (the one closest to AI, payments, distribution) is on a living one. A great company can house a terrible role for you. Always score the role, not the logo.
The thesis: a good job is a portfolio of four attributes
Here is the through-line for the whole article:
A job is not a single thing. It is a small portfolio of four attributes, and the joint score is what determines whether the job buys you optionality or rents it from you.
Most people pick a job on one attribute (usually the salary, occasionally the brand) and then spend years discovering that the other three attributes were quietly determining the outcome. The four attributes are:
- Flexibility. How much of your time, location, and schedule stays yours.
- Leverage. How much your output multiplies beyond your hours (skills that scale, tools that compound, assets that produce while you sleep).
- Uniqueness vs Top-1% vs Mechanical. What kind of work it is, and therefore what kind of competition you face.
- A living industry, not a dying one. Whether the tide is pushing your work forward or grinding it down.
The point of breaking it into four is the same as the point of breaking nutrition into four levers: when something is wrong, you don’t have to guess. You walk down the list in order, find the attribute that is failing, and either fix it or change roles. The next four sections are each one attribute, in order.
Attribute 1: flexibility
Flexibility is the easiest attribute to see and the hardest one to defend over time, because every employer slowly tries to rebuild the office around whoever lets them.
There are at least four levels of flexibility, and they are not the same thing:
| Level | What it looks like | Real flexibility? |
|---|---|---|
| Five days in office, fixed hours | Standard pre-2020 corporate | None. Your day is the company’s day. |
| Hybrid (2–3 days in) | The 2024–2026 compromise | Partial. You get some midweek depth, but Mondays, Fridays, and the commute still belong to them. |
| Remote-but-monitored | ”Work from home” with screen tracking, instant-response Slack culture | Almost none. You traded the commute for surveillance. |
| Remote-default, async-respected | Output measured by work shipped, not hours present; deep blocks possible | Real. The day is yours; the work has to land. |
The fourth level is the only one that actually returns time, and it is the only one worth optimising for. The first three are flexibility theatre, and most of the office-return rhetoric of the last few years has been about quietly walking flexibility back without admitting it.
Real flexibility is not just nicer. It is load-bearing for every other domain in this blog:
- It lets you train at the right time of day (see the Fit series).
- It lets you cook real food instead of grabbing whatever is at the office canteen (Nutrition Part 5.0).
- It lets you protect the pre-sleep window that the Sleep series argues is the single highest lever in your health.
- It lets you put a First Economy job and a Second Economy build in the same day, instead of forcing you to pick.
How to test for real flexibility in an interview
Three questions, each one revealing:
- “How do you measure performance?” If the answer is hours, attendance, or response time, the flexibility is fake.
- “What’s the expectation on Slack/Teams response time?” If “under 15 minutes during work hours” or “always available,” the laptop owns you.
- “When was the last time someone on this team took a deep-work block in the middle of the day?” If the answer is “uh,” there isn’t a culture of it.
The trap with flexibility is to assume it costs you money. Sometimes it does, but the trade is usually worth it, because flexibility is what funds the side path (the Build) that becomes the second income stream and eventually the bigger one. A flexible job at RM 8,000 with a RM 4,000/month build alongside it beats a non-flexible job at RM 14,000 alone, on almost every dimension that matters.
Attribute 2: leverage
Leverage is the attribute most people underweight, and the one that quietly decides whether your decade compounds or just passes.
The core question is: what’s the multiplier between your hours and your output?
A surgeon’s output is roughly 1:1 with hours; you can’t do two surgeries at once. A welder’s, similar. A lawyer’s is slightly above 1:1, because precedents and templates compound. A programmer’s is much higher: write once, deploy a million times. A marketer’s, even higher in the right channels: one ad set can sell to ten thousand people for months. The same hour of human attention produces wildly different amounts of value depending on whether the work has leverage built into it.
A useful three-bucket model:1
| Bucket | What it looks like | Leverage shape |
|---|---|---|
| Labour leverage | People work for you (employees, contractors) | Linear; needs management; the original kind, hardest to scale |
| Capital leverage | Money works for you (a business, a portfolio, real estate) | Exponential, but needs the capital first |
| Code & content leverage | Software and media that work for you (scripts, products, articles, videos, courses, posts that compound) | Asymmetric, near-zero marginal cost, available without capital |
The third bucket is the one to optimise for early, because you do not need to be rich or senior to access it. A junior marketer who learns to write evergreen content, a junior engineer who builds internal tools, a junior analyst who automates her own pipeline (all of them are buying leverage cheaply while the people around them are trading hours straight across).
What “high-leverage work” looks like in 2026:
- Programming and adjacent technical work. Software is the most leverage-dense category there is. Even better in the AI era, because a single engineer with the right toolchain now does the work of three.
- Digital marketing, performance marketing, growth. A good ad campaign or a well-built funnel pays for years. Every business needs this and almost no business is actually good at it.
- Content (written, video, podcast). Slow to start, then compounds. One good evergreen piece can outearn a year of cold-call labour.
- Data and analytics with applied judgement. Not just dashboards; the synthesis layer on top. Decisions inform a lot of money.
- Product, design, and UX in software contexts. Code is leverage; the decisions about which code are higher leverage still.
And here is the negative space:
- PR. As discussed in Part 1.0’s framing of the attribute, PR pays only at the top 1% (head of comms at a Fortune 100). Outside that, it doesn’t transfer, doesn’t freelance well, and doesn’t compound.
- Generic project management. Almost entirely meetings and coordination. Useful, but doesn’t scale beyond your hours.
- Generic operations or admin roles. Linear, replaceable, and where automation is hitting hardest.
- Pure “people” roles that don’t ship anything (most middle-management, internal partnerships, “strategy” without execution).
The leverage test
If you stopped working tomorrow, would any of your output keep producing? A landing page you wrote keeps converting. A piece of software you shipped keeps running. A YouTube video you posted keeps earning. A meeting you led does not. Optimise toward output that keeps working after you stop.
The leverage attribute is what makes the “First Economy” (climb) and “Second Economy” (build) of later parts of this series mutually compatible. The skill you use in a leveraged corporate role is the same skill you can detach and turn into a freelance, product, or content business on the side. A digital marketer can sell her week to one employer and her weekends to her own ten clients. A coder can build internal tools by day and a SaaS by night. A non-leveraged role doesn’t give you that option, because there is no asset to detach.
Attribute 3: uniqueness vs top-1% vs mechanical
Of the four attributes, this one is the most often misread, so it gets the longest treatment.
There are three kinds of work the market pays for, and they pay very differently:
| Type | What it is | Competition shape | Pay shape |
|---|---|---|---|
| Mechanical | Work where you are interchangeable with anyone trained the same way (most factory roles, most call centres, most data-entry, most generic admin, increasingly: anything a model can do without judgement) | Wide and shallow; thousands of you exist | Flat, capped, and shrinking as automation gets better |
| Top 1% | Work where everyone is roughly similar, and the differentiator is being better (sales, surgery, trading, athletics, some engineering) | Narrow and deep; you compete on raw quality | Steep curve: top 1% earns a lot, top 10% earns fine, top 50% earns badly |
| Unique | Work where your specific philosophy, taste, and angle is the product (good marketing, branded writing, founder-led businesses, distinctive design, creative direction, original research) | Crowded but non-substitutable; nobody else is exactly you | Asymmetric: lower floor, but the ceiling is open because the buyer wants you, not the output |
The trap is to assume you should pick the highest-pay category and go for that. You should pick the category that fits your actual disposition, because the wrong category at top performance is worse than the right category at mid performance.
- If you are wired to grind and compete head-to-head on speed, accuracy, and persistence, the Top 1% category is for you (sales, trading, surgery). But it is a 1% game; if you can't reach the 1%, the pay drops sharply.
- If you are wired to develop a view (a thesis about the world, a style, a method, an angle), the Unique category is for you. The Unique game is more forgiving of being in the top 10–20% because the buyer is not comparing you against an objective benchmark; they are choosing your specific voice.
- The Mechanical category is for almost nobody who is reading a series like this voluntarily. It is what the default career path drifts you into if you don't actively pick.
A practical example: sales vs marketing. Sales is Top 1%; you are competing against other salespeople on close rate and pipeline, and the pay curve is brutal in the middle. Marketing is closer to Unique; two marketers with very different philosophies can both build successful careers (and both attract clients who specifically want their approach). Both are good careers; they reward different temperaments.
The marketing field has a snake-oil problem
Be honest with yourself about this. The unique-work end of marketing is filled with people who confuse “having an angle” with “having a result.” There is a cottage industry of agency owners and course sellers who built their careers in this gap. Pick the category for the right reason (you genuinely have a view), and develop the discipline to back it with measurable outcomes. The world doesn’t need another marketing personality; it needs the small minority who can also produce numbers.
The synthesis sentence to remember:
Be top 1% at what you are uniquely good at. Uniqueness without quality is taste without delivery. Top 1% without uniqueness is grinding in a crowded field with a low ceiling. Together, they’re the highest-paying combination the market offers.
Attribute 4: a living industry, not a dying one
This is the attribute that decides whether your decade compounds or grinds, and it’s the one most people get badly wrong because they pick the industry based on the version of the world they grew up with.
Some industries are growing: more total money is flowing into them year over year, more jobs are being created than destroyed, and the slope is positive. Others are shrinking: total revenue flat or down, headcount being managed lower, the slope is negative. The math of a career on a positive slope vs a negative slope is the difference between a tailwind that compounds and a headwind you fight every day.
How to read the slope, cheaply:
- Job-posting volume over 3–5 years. Use LinkedIn, JobStreet, or any aggregator. Growing industries have growing posting counts. Shrinking ones have falling counts and rising “senior only” requirements (a tell that the bottom of the funnel has been cut).
- Investment flow. Where is venture capital going? Where are sovereign wealth funds going? In Malaysia, look at MDEC, MITI announcements, and the SC/BNM disclosures. Following the money is a noisy signal, but a useful one.
- Salary creep. Real salaries (adjusted for inflation) drift up in growing industries and stagnate in shrinking ones. Salary bands published by recruiters in the same industry over multiple years are a free, clean signal.
- The conversational test. When you tell someone what industry you’re in, are they curious or sympathetic? Curiosity is a growth signal. (“Insurance? Oh, sorry.”) is a decline signal.
Some 2026 calls (note that these will age, and the methodology is what to keep, not the specific list):
| Likely growing | Likely flat | Likely shrinking |
|---|---|---|
| AI infrastructure & applied ML, data engineering, cybersecurity, climate/energy transition, healthcare tech, payments/fintech, software in regulated SEA verticals | Most of traditional banking, hospitality, FMCG, classical consulting | Print media, generic call-centre work, lower-tier BPO, retail brokerage, generic admin & data-entry roles |
Bet the way you'd invest, not the way you'd cheer
==You don’t need certainty about the industry; you need a bias in the right direction.== Treat the industry choice like a stock pick. You’re allocating your most valuable asset (a decade of attention) into a sector. Diversification is not always available, but reading the slope before you commit is. And if you bet wrong, you should expect to discover that within 2–3 years and reallocate, the same way you’d cut a losing position.
A note for people early in their careers: start now, even if you can’t get hired into the living industry yet. If you’ve decided data engineering is the right bet but no one will hire you for it tomorrow, build a project portfolio on the side, take the certifications, and accept a lower-tier role in the field as a foothold. The cost of starting now and being slow for a year is much smaller than the cost of starting two years late on the wrong industry. The compounding only works once the foot is in the door.
The scorecard: how to actually grade a job
The whole article reduces to this. For any job (current, offer, or imagined), score it 0/1/2 on each attribute:
| Attribute | 0 (avoid) | 1 (acceptable) | 2 (great) |
|---|---|---|---|
| Flexibility | Full office, fixed hours, surveilled remote | Hybrid, output-measured | Remote-default, async-respected, deep work normalised |
| Leverage | Linear hours-for-pay, no portable skill | Some transferable skill, modest compounding | Code/content/capital leverage, output keeps working after you stop |
| Uniqueness / Top 1% | Mechanical work, easily replaced | Top 1% game in a field you can credibly win | Unique angle backed by Top-1% quality (your taste plus your numbers) |
| Living industry | Industry headcount and revenue declining for 5+ years | Flat, stable, defensible | Growing tailwind, capital and talent flowing in |
A 6/8 job is a strong job. An 8/8 is rare and worth fighting for. A 4/8 is a job to leave on a planned horizon, not a job to panic out of. A 2/8 is what the default career path quietly settles people into; if you’re there, the next six articles are the way out.
One attribute that is fixable beats two that aren't
A 5/8 job where the missing 3 points are flexibility is fixable (negotiate, change manager, leave for a better culture in the same field). A 5/8 job where the missing 3 points are industry and leverage is not fixable from inside the role; the only way to move that score is to leave.
Part 1.1 Takeaways
Key concepts to internalise
- A job is a portfolio of four attributes, and most people grade only one (salary). The joint score is what determines optionality.
- Flexibility comes in levels. Real flexibility is output-measured and async-respected. The first three levels are mostly theatre.
- Leverage is the multiplier between your hours and your output. Code, content, and capital are the three leverage types most worth chasing; junior roles can buy code/content leverage early without capital.
- Three types of work pay differently: Mechanical (capped and shrinking), Top 1% (steep curve, 1%-or-bust), Unique (asymmetric, your angle is the product). Be top 1% at what you are uniquely good at.
- A living industry is a tailwind that compounds your decade; a dying one grinds it down. Read the slope (postings, investment, salary creep) and bet like an investor, not a fan.
- Score the role, not the logo. The scorecard turns “is this a good job?” into a specific decision: 6/8 strong, 8/8 rare, 4/8 leave on a horizon, 2/8 the default trap.
Your Baseline Task List
Before Part 2.0 hands you the positioning strategy, score the ground you’re standing on.
- Score your current role, 0/1/2 on each of the four attributes. Write the total. Do not round up.
- For each attribute scored < 2, write one sentence on whether it is fixable in-role or only by leaving. Be honest. A fixable attribute is a negotiation; an unfixable one is a timer.
- Pick the next role you’re plausibly considering (real or imagined). Score it the same way. The delta between scores is the real “would this be a step up?” answer.
- Identify your category (Mechanical, Top 1%, Unique) and write down whether your disposition actually matches it. A salesperson who is wired for Unique work is in the wrong game; a marketer who is wired for Top-1% work is in the wrong game.
- Pick one growing industry to investigate for 30 minutes this week. Job postings, salary bands, who’s hiring junior. The point is calibration, not commitment yet.
Up next
You know what to optimise for (the four attributes) and how to score it. Part 2.0 — Positioning Yourself Cheap-and-Capable is the strategy article: how to actually get into a high-attribute role when you don’t yet have the credentials to walk in the front door.
Disclaimer
Industry calls in this article reflect the author’s read of the 2026 landscape and will date. The framework (read the slope, score the four attributes, prefer Unique × Top-1% in a living industry) is the part to keep; the specific industries on each list are the part to re-check yearly.
Sources & references
Footnotes
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The three leverage buckets (labour, capital, and code/content) come from Naval Ravikant’s “How to Get Rich” framing on permissionless leverage, which is the cleanest version of this idea publicly available. The original podcast and accompanying notes are at nav.al/rich. Adapted here for the career-decision context rather than the founder context. ↩