Is passive income overrated ?

 

[The field of personal finance has been enriched by the humanities for many years, with sociologists such as Thomas Stanley writing about The Millionaire Next Door. I find it very fortunate that I can now read the works of a history professor who has read hundreds of historical works on how to get rich in America and has personally undergone the journey to become a millionaire himself. 

This is a worthy book for anyone who is serious bout personal finance.]

The promise of passive income has become a cornerstone of modern personal finance advice. Build a portfolio, collect dividends, and watch your wealth grow while you sleep—it sounds almost too good to be true. And according to Joseph Moore's How to Get Rich in American History, it might be exactly that.

Moore presents a compelling counterargument to the passive income narrative: most people who earn passive income spend it. And when you're spending your returns rather than reinvesting them, you forfeit the exponential growth that makes compound interest so powerful. The math is simple. If your dividend portfolio returns 4% annually but you withdraw that 4% to live on, your principal never grows. Meanwhile, conventional wisdom suggests your wealth should multiply year after year. It's a sobering critique that deserves serious consideration.

The Case Against Passive Income

Moore's argument cuts to the heart of a fundamental human truth: people have expenses. A retiree living off dividend income needs that money to pay the mortgage, buy groceries, and maintain their lifestyle. A young investor building toward financial independence might feel entitled to enjoy some of the fruits of their labour. In both cases, the passive income gets consumed, and the portfolio stagnates.

This matters because the entire pitch of passive income rests on compounding. If you're not reinvesting your returns, you're breaking the only engine that makes passive income wealth-building. It's the difference between a portfolio that grows from $500,000 to $1.3 million over 20 years (with reinvestment at 6% returns) and one that stays at $500,000 while you spend the annual $30,000 it generates. The narrative we're sold—retire early and live off your dividends—assumes you can live indefinitely on a fixed dollar amount, even as inflation erodes its purchasing power.

Moore's historical perspective offers valuable lessons about why this matters. Throughout American financial history, the wealthiest individuals weren't those who lived off passive returns; they were those who reinvested them relentlessly.

But There's More to the Story: The Psychology of Motivation

Yet Moore's thesis, while thought-provoking, doesn't tell the whole story. Many investors don't fall into the trap of spending 100% of their passive income. A real estate investor might reinvest a portion of rental income back into their properties. A dividend investor building wealth might live on 70% of their annual returns while letting 30% compound. A semi-retired person might need passive income to cover basic living expenses but continues earning a modest income from work, allowing them to reinvest the surplus.

But the more important gap in Moore's analysis isn't mathematical but psychological. I've spent years studying investor behaviour, and what I've learned is this: motivations matter in personal finance. In fact, I'd argue that financial success is as much a sociological phenomenon as it is a mathematical one.

Here's what I mean: the pure math says that spending your passive income is inefficient. But psychology says something different. The knowledge that money is flowing into your account every quarter—regardless of what you do—is profoundly motivating. It reinforces the investor's identity, validates their past decisions, and creates positive momentum to keep building. For many people, this motivation is the only thing that prevents them from abandoning their investment discipline when markets dip or life gets complicated.

Consider three psychological traps that derail novice investors:

1. Dopamine-seeking — The impulse to chase exciting returns, leading to speculation and emotional trading.
2. Recency bias — Overweighting recent good performance while underestimating risk in up markets.
3. Benchmark blindness — Focusing on absolute returns while ignoring how your portfolio behaves during downturns.

A passive income stream combats all three. The regular arrival of dividends provides consistent positive reinforcement without requiring you to check stock prices or chase hot tips. It gives you something to show for your discipline. This isn't captured in a spreadsheet, yet it's the difference between an investor who holds for 30 years and one who panics and sells after the first correction.

In my view, passive income isn't primarily a wealth-building mechanism—it's a structural solution to behavioural discipline. The mechanism works because it solves a motivation problem, not just a math problem. Without that quarterly reminder that "you made the right choice," many investors would never build substantial wealth in the first place, regardless of the mathematics involved.

Why History Matters to Your Finances

Reading How to Get Rich in American History does something that most personal finance books don't: it grounds financial decision-making in real history. It's easy to accept the passive income narrative when you're only looking at current market conditions and recent case studies. But when you examine how wealth has actually been built across centuries of American economic life, you see patterns that aren't obvious in personal finance blogs.

I've spent years examining the historical record of investment, and one insight stands out: properties of an ideal investment don't change, but the context around them does. What made an ideal investment in 1800 shares has a certain DNA with what makes an ideal investment today. Yet the specific mechanisms—tax treatment, available asset classes, interest rate regimes, regulatory frameworks—shift dramatically.

Understanding this teaches you that financial advice doesn't exist in a vacuum. Tax policies change. Interest rates fluctuate. Economic structures transform. The strategies that worked brilliantly in one era might be obsolete in another. And the promises made to you by investment marketers—whether they're promising passive income or anything else—should be viewed with the healthy scepticism that comes from knowing how many "sure things" have failed throughout history.

When Moore examines American wealth-building across centuries, he's not just telling you what worked—he's showing you the difference between enduring principles and temporary conditions. For instance, dividend investing dominated wealth-building in the 20th century partly because of tax policy and the availability of traded shares, not just because dividends are intrinsically powerful. Yet the discipline of reinvestment—the core principle beneath Moore's critique—has always been central to building lasting wealth.

A sense of financial history also helps you separate timeless principles from fleeting trends. Spending less than you earn? That was true in 1850, and it's true in 2026. Letting your investments compound over decades? Still powerful. Seeking investments with predictable cash flows? Always valuable. But the specific mechanics of how you invest and what you can reasonably expect from that investment deserve scrutiny rooted in how things have actually worked out across different periods. History gives you that critical lens.

The Hidden Success Factor: Deliberate Architecture

The real lesson from both Moore's critique and the psychological research is this: passive income only works if you've designed your life around reinvestment, not dependence.

I call this "salary truncation"—the practice of fixing your lifestyle expenses and treating all passive income above that fixed level as capital to be reinvested. It's not about willpower or self-denial. It's about structural design. When you set your expenses at 70% of active income and 50% of passive income, you're not relying on motivation to do the right thing. You're making the right thing, the path of least resistance.

Moore's critique is mathematically correct: if you spend all your passive income, your portfolio won't grow. But his framework misses something crucial: people who successfully built wealth across history did two things simultaneously. First, they understood the mechanics of compound growth. Second, and more importantly, they created structures that made reinvestment automatic rather than aspirational.

The Synthesis: Why Moore Matters

What I've come to believe is that passive income is neither overrated nor underrated—it's simply misunderstood. It's a powerful tool for those who use it deliberately and thoughtfully. It's a trap for those who see it as a solution to overspending. And it's a structural enabler of financial discipline for those who understand that motivation matters as much as mathematics.

Moore's How to Get Rich in American History is valuable not because it provides the final answer, but because it asks the right questions and grounds them in evidence across centuries. He shows us that the wealthy didn't get wealthy by living off passive income, but they built it. This historical perspective cuts through the marketing noise and forces you to ask: What am I actually trying to do? Build wealth, or live off existing wealth? The answer matters because the structures you need are completely different.

If you're building a dividend portfolio, if you're planning to live off passive income, or if you're simply trying to understand how wealth actually gets built in America, this book deserves a careful read. The insight you'll gain isn't just about passive income. It's about the intersection of history, psychology, and deliberate design—and recognising that the best financial decisions are the ones you've actually thought through, rather than the ones you've been sold.

$100 of Dividends a Month: The Minimum Effective Dose for Newbie Beginners

 

Most people who discover dividend investing fall into one of two camps.

The first camp gets excited, reads a few articles, and dives straight in with their life savings. The second camp reads the same articles, decides it's too risky or too boring, and never starts at all.

Both groups are making the same mistake: committing fully before they actually know whether dividend investing works for them.

There's a better way. Start with the minimum effective dose.

Dividend Investing Is Not for Everyone

Let's be honest about this upfront.

Dividend investing requires patience. You won't get rich quickly. There are no ten-baggers here, no viral meme stocks, no overnight fortune. What you get instead is a slow, steady stream of cash — paid out quarterly or semi-annually — that compounds quietly in the background.

Some people find this deeply satisfying. Others find it mind-numbingly dull and abandon the strategy at the first market downturn.

The problem is, you don't know which type you are until you've actually experienced it. Reading about dividends is not the same as receiving them, watching your stock drop 15% and having to hold on anyway, or deciding whether to reinvest your payouts or spend them.

So before you commit $100,000 or your entire portfolio to a dividend strategy, consider testing it first — with just $24,000.

The Math Behind $100 a Month

Here's the simple arithmetic of the minimum effective dose:

• Portfolio size: $24,000
• Target dividend yield: ~5% per year
• Annual income: $1,200
• Monthly average: $100

That's it. $24,000 invested in a portfolio yielding around 5% annually will produce roughly $1,200 in payouts spread throughout the year, averaging $100 per month.

This isn't a get-rich-quick number. It's a learning number. It's enough to feel real — real enough that you'll pay attention to ex-dividend dates, real enough that a dividend cut will sting, real enough that you'll discover whether this style of investing suits your temperament.

Think of it the way a doctor thinks about medication: the minimum effective dose is the smallest amount that still produces a meaningful result. $100 a month is enough to teach you everything you need to know about whether dividend investing belongs in your financial life.

What to Buy: The Singapore Dividend Toolkit

For Singapore investors, building a simple 5% yielding portfolio doesn't require exotic instruments or deep financial expertise. Three asset types form the backbone of most successful dividend portfolios here:

1. Singapore REITs (Real Estate Investment Trusts) REITs are legally required to distribute at least 90% of their taxable income to unitholders. This makes them among the most reliable dividend payers available to retail investors. Typical yields range from 4–6% annually. Examples include Frasers Centrepoint Trust and Keppel DC REIT.

2. Singapore Blue-Chip Bank Stocks Singapore's three major banks — DBS, OCBC, and UOB — have historically offered dividend yields in the 5–6% range and are among the most financially robust institutions in Asia. They offer the rare combination of income and relative stability.

3. Business Trusts These are infrastructure-backed instruments with contracted cash flows from essential services like broadband networks, utilities, and ports. A well-known example is Netlink NBN Trust, which runs Singapore's fibre network. Steady and unglamorous — in the best possible way.

A beginner portfolio might allocate $24,000 roughly equally among these three categories, providing diversification across sectors while keeping the approach simple.

Simple Steps to Get Started

Step 1: Open a brokerage account. You'll need a brokerage that allows you to trade Singapore Exchange (SGX) stocks. Options include Tiger Brokers, Moomoo, or a CDP-linked account with a local bank brokerage.

Step 2: Identify your holdings. Screen for stocks in the STI and SGX Next 50 universe that offer sustainable dividend yields above 5%. Focus on sustainability — a high yield that gets cut is worse than a modest yield that holds steady.

Step 3: Allocate your $24,000. Spread your capital across 3–6 holdings to avoid concentration risk. Equal-weighting across REITs, banks, and business trusts is a sensible starting point for beginners.

Step 4: Track your dividends. Note the ex-dividend dates for each holding. Most Singapore stocks pay dividends semi-annually. Your $1,200 will likely arrive in two or three tranches across the year, not evenly every month — and that's normal.

Step 5: Decide what to do with the income. Reinvest it to compound your returns over time, or use it for spending. Either choice is valid. What matters is that you make a conscious decision and stick to it.

Step 6: Review after one full year. After 12 months, ask yourself: Did I enjoy this? Did I panic when prices fell? Did receiving dividends feel meaningful, or did I barely notice? The answers will tell you whether to scale up, adjust your strategy, or try something else entirely.

Why $24,000 and Not More?

Because the point of the minimum effective dose is to limit the cost of being wrong.

If you discover after one year that you hate dividend investing — that you'd rather be in growth stocks, index funds, or something else entirely — you've risked $24,000 to learn that lesson. Not your entire nest egg.

And if you discover you love it? Then you have a live, real-money portfolio to scale from, with 12 months of personal experience behind you.

This is the sensible way to commit to any investment philosophy: test it at a scale that's meaningful but not catastrophic.

Ready to Go Further?

If this resonates with you and you'd like to learn the full framework behind building a dividend portfolio that can eventually replace your income, I run a preview session of the Early Retirement Masterclass where I walk through the strategy in depth.

Sign up for the free preview here →

You'll learn how real students have built portfolios generating thousands of dollars in passive income annually — and whether the approach makes sense for your own financial situation.

Dividend investing isn't for everyone. But the only way to find out if it's for you is to start.

This article is for educational purposes only and does not constitute financial advice. Please do your own due diligence before investing.

Are You Investing, Or Just Collecting Stocks? Come Find Out at Moomoo Bugis on 3 June

 

Most Singaporean retail investors I meet do not actually have a portfolio. They have a collection.

There is a difference, and it usually only becomes obvious when someone asks the question I like to ask in my talks: "What is your strategy?"

The honest answer, for most people, is some version of: "Well… I bought DBS during the dip in 2016, then added OCBC and UOB because the yields looked good, then a few REITs, then Sea Limited because everyone was talking about it, then Grab because I thought I missed Sea, then…"

You see the pattern. The portfolio has grown by accident, not by design. Some positions are for income. Some are for growth. Some you genuinely cannot remember why you bought.

If that sounds uncomfortably familiar, I am running a free 2-hour workshop where we will fix exactly this.

The Talk

Building a Resilient Singapore Portfolio: Income, Growth, or Both? 3 June 2026 (Wednesday), 7pm – 9pm Moomoo Store, 496 North Bridge Road, #01-01, Singapore 188739

Register here: https://www.moomoo.com/sg/events/stores

What We Will Actually Cover

I am going to walk you through a real (anonymised) portfolio from a 38-year-old IT manager I will call Alex. Fourteen holdings. About S$120,000. Up roughly 18% on paper, which is not bad. But 38.6% of the entire portfolio is sitting in DBS, OCBC, and UOB — three businesses that move together in the same rate cycle. He has no idea whether he is an income investor or a growth investor. He has REITs he loves and tech positions he is quietly scared of.

Alex is not stupid. Alex is like most of us.

We will pull his portfolio apart on screen and rebuild it deliberately, using only Singapore-accessible building blocks: REITs, the three local banks, Business Trusts, SGX-listed ETFs, growth stocks, and the new SDRs that give you direct exposure to names like BYD, Xiaomi and CATL.

By the end of the session, you will know:

• How to decide whether you are actually an income, growth, or balanced investor — and why getting this wrong costs you years.
• The three model allocations I use for Conservative, Moderate, and Aggressive Singapore profiles.
• Why your HDB, your CPF and your SGD salary should change how you build the equity side of your portfolio (most local content ignores this).
• How to spot dangerous concentration before it hurts you — not after.
• A simple annual review process so the portfolio stays a portfolio and does not slowly drift back into a collection.

Why I Am Doing This Talk

I have been investing in Singapore equities for over 15 years and teaching at Dr Wealth for nearly as long. The single biggest reason retail investors underperform is not stock picking. It is the absence of a structure to hold their stock picks together.

A good portfolio is like a meal. The ingredients matter, but the recipe matters more. A bag of carrots, garlic and beef is not dinner. Fourteen tickers on Moomoo are not a portfolio.

If you have been investing for a few years, have built up some capital, and have started to suspect that you are not quite sure what you are doing, this is the talk for you. Bring your questions. I keep the Q&A long on purpose.

Practical Details

• Date: Wednesday, 3 June 2026
• Time: 7pm – 9pm (please arrive by 6.45pm)
• Venue: Moomoo Store, 496 North Bridge Road, #01-01, Singapore 188739 (5 minutes' walk from Bugis MRT)
• Cost: Free
• Register: https://www.moomoo.com/sg/events/stores

Seats at the Bugis store are limited, and these Moomoo sessions tend to fill up. If you are planning to come, register early.

See you on Wednesday.

Christopher Ng Wai Chung, CFA, JD

Why your Skillfutures might be useless

I'm pioneering a new way to write blog articles. In this attempt, the base article was drafted by my Second Brain and Opus 4.7, but the examples were written by me. Hopefully, the views will vindicate this new approach to content in the publication creation. In case you are wondering, my AI articles have drastically outperformed my own personal musings, primarily because I direct my AI to write articles relevant to the public that I am too lazy to write myself.

Every few years, the Singapore government rebrands its adult-education machinery, and every few years, a fresh cohort of middle-aged PMETs convince themselves that perhaps studying for an ACLP qualification will save them from the AI tide. 

It won't. 

And the recent restructuring of SkillsFuture, far from fixing the problem, has merely confirmed it.

The Old Regime: Enrollment as the KPI

When SkillsFuture Singapore (SSG) sat squarely under the Ministry of Education, the dominant performance metric was enrollment. This is what happens when you let educators run an employment programme: you optimise for bums on seats, certificates issued, and modules completed. MOE was very good at this. They are, after all, the same people who ran the most enrollment-obsessed school system in Asia for three decades.

The result was predictable. Singaporeans queued up to spend their $500 (and later, the top-ups) on courses ranging from barista training to wine appreciation to "Introduction to Blockchain." Training providers, sensing a captive subsidised market, churned out catalogues thick enough to double as door-stoppers. Attendance numbers looked fantastic in the parliamentary written replies. Whether anyone actually became more employable was, charitably, a secondary concern.

My own experience with the ACLP qualification was extremely negative; the training materials seemed out of sync with actual industry experience, and there was a lot of negativity in class, as some students were seeking employment with it and rapidly became disappointed that no outplacement services existed.

The early efficacy data tell the story. Around 64% of disrupted workers under 40 found employment within six months of completing a course; only 56% of those over 40 did. Read that the other way: in the cohort most desperate for the scheme to work — older, displaced PMETs — nearly half remained unemployed half a year after their reskilling. (MOE parliamentary reply)

The New Regime: Selection Bias as the KPI

At Budget 2026, PM Lawrence Wong announced that SSG and Workforce Singapore (WSG) would be merged into a new statutory board, jointly overseen by MOE and MOM. (Mothership, Joint MOM-MOE Statement) The official rationale is "tighter integration of the jobs-skills ecosystem." The unofficial rationale is that the old KPI was indefensible.

Notice what happened from 1 January 2026: roughly 9,500 courses across 500 providers were placed under tighter funding criteria. (The Economy) PWM-targeted courses now sit uniformly at Tier 2 funding with employer-sponsorship checks at renewal. Funding favours courses with "direct impact on employability" or "skills demanded by employers." Individual-initiative learning — the experimental, curiosity-driven sort — is being quietly squeezed out.

The new agency will look more impressive on the dashboard. Its outcome metrics will improve. But this is selection bias, not pedagogy. If you only fund the courses whose attendees were already going to be employed (because their employers sponsored them, because they were already on a wage progression track, because they passed a pre-screen), of course, the post-course employment numbers go up. You haven't trained anyone into employability — you have simply screened in the people who would have stayed employable anyway.

The structural critique writes itself: a shift from "education for anyone who wants it" to "education for those most likely to make the numbers look good." MOM brings to the table what MOE never had — labour-market discipline — but it also brings what MOE never wanted: rationing.

I had another personal disappointment lately while trying to get into a fairly new AIxTech training program. While I was not openly rejected by the program, my profession is considered undeserving of a full subsidy. To give you an idea of how different the amounts are, if I were already a software engineer or someone in a list of approved professions, I would need to pay about $200 for the course. As I am a lecturer (in a poly no less, teaching legal technology and data analytics). I would have to 10x the amount, to close to $2,000, to attend the program. Before you get upset at the authorities, they were actually really helpful, and they were asking me to apply under a different profession.

But the fact of the matter is that I don't wish to blow half my Skillsfutures credits to attend an AI course because things are changing so dynamically, so instead I decided to pick up a book on Rust Programming and The Pragmatic Programmer to learn the hard way. But do remember that a great training course is not just about acquiring knowledge but also about building career networks.

What Neither Regime Can Do

Here is the part that both the old enrollment maximisers and the new outcome optimisers refuse to acknowledge publicly. No SkillsFuture course in the current catalogue can transform a worker rendered obsolete by AI into an employable asset.

The reasoning is structural, not motivational. AI displacement is not a "skills gap" of the kind SkillsFuture was designed to address. It is a wholesale revaluation of cognitive labour. A 50-year-old paralegal whose document-review work has been ingested by a large language model does not become employable by completing a 40-hour WSQ module on "Generative AI for Professionals." The module will teach them to type prompts. It will not give them ten years of model-eval intuition, the engineering judgement to ship production systems, or the domain credibility to be hired for AI-adjacent work over a 28-year-old who has been building with these tools since university.

The honest comparison: low-skilled workers are the most exposed to AI displacement, while high-skilled professionals in data science, cybersecurity, and AI development see their roles enhanced, not erased. (NCBI study) SkillsFuture serves the middle of that distribution — the very segment for which short-form reskilling is least likely to bridge the gap.

The Trainer Problem

There is a deeper, less polite reason SkillsFuture cannot solve the AI problem: the trainers will always be behind the curve.

Think about who teaches a SkillsFuture-approved course. They have to be a registered trainer with a Training Provider. The Training Provider needs SSG accreditation. The course needs to be approved against a skills framework. By the time the bureaucracy has finished blessing the curriculum, the underlying technology has shipped two major versions. The frontier of practice — the actual GitHub repos, the Discord servers where the next abstraction is being argued out, the arXiv papers from last Tuesday — never reaches the WSQ syllabus and could not do so within any timeframe that matters.

I say this as someone who teaches for a living. Andragogy — teaching adults — is hard enough when the subject is stable. When the subject changes weekly, the institutional trainer is structurally disadvantaged against the self-directed learner who reads the primary source the day it drops.

What Actually Works

If you've absorbed everything above, the prescription is obvious and unglamorous.

Build a curious mind, and spend more time in the library. That is the entire programme. There is no certificate, no $500 credit, no statutory board to administer it. The people who survive AI disruption will be the ones who treated their own learning as a serious, daily, unsubsidised practice — reading widely, building small things, breaking them, asking better questions than the model can answer.

The library is doing more for your employability than the entire SkillsFuture catalogue. So is a $20-a-month ChatGPT subscription used aggressively. So is sitting down with a textbook on linear algebra at 45 and grinding through it the way you should have at 19. None of these activities is eligible for funding. All of them work.

This is not a counsel of despair. It is a counsel of agency. The state cannot reskill you out of AI disruption because the state's machinery is slower than the disruption. You can. The instrument is your own attention, applied daily, to whatever the frontier currently is.

The Honest Summary

The old SkillsFuture sold us enrollment. The new SkillsFuture will sell us flattering outcome statistics produced by harder pre-screening. Neither delivers what was promised, and neither can. The disruption is structural; the response has to be personal.

Save your credit. Borrow the books. Ask better questions. The library is open.

---

Sources cited inline; see Joint MOM-MOE statement, Mothership coverage of Budget 2026, MOE parliamentary reply on employment outcomes, 2026 funding tightening, AI displacement and digital skills.

Why Munger's First $100,000 Still Holds for an Ordinary Singaporean — and How to Get There on the SGX

A note on the byline: This piece was written by a manifestation of my Second Brain — a local Qdrant vector database indexed over my notes, books, SIAS lecture decks, YouTube skim files, and the full SGX Research Library I maintain. Claude queried that index for everything it knew about Munger's $100,000 idea, the "$100,000 Challenge" framework from Growing Your Tree of Prosperity, my Six Workhorses model for an SGX portfolio, and the most recent dividend snapshots on Singapore banks, REITs, and business trusts. The numbers and structure are mine; the assembly is Claude's. I'm publishing it because it's a clean restatement of what I've been teaching for twenty years.

The Munger line that won't go away

Charlie Munger said it on a recording that has circulated for decades:

"The first $100,000 is a bitch, but you gotta do it. I don't care what you have to do — if it means walking everywhere and not eating anything that wasn't purchased with a coupon, find a way to get your hands on $100,000. After that, you can ease off the gas a little bit."

Munger was making a mathematical observation. At a 7% real return, a $100,000 portfolio adds roughly $7,000 a year to itself before you save a dollar. A $10,000 portfolio adds $700. The gap between those two numbers is what financial momentum feels like — and it is why getting to the first hundred is disproportionately important. Every year you delay crossing the threshold is a year you are paddling instead of sailing.

This is the exact reason I built my first book, Growing Your Tree of Prosperity, around what I called the $100,000 Challenge. The metaphor of growing a tree is not a poetic decoration. It is the literal observation that the root system must reach a certain depth before the canopy begins to expand on its own. In Singapore, with our specific tax structure, mandatory CPF savings, and SGX-listed dividend stocks, the path to that root depth is unusually well marked. Most ordinary working people simply don't know it exists.

Why the SGX is, weirdly, the perfect tool for this

People who chase the S&P 500 sometimes look down at the Straits Times Index as a sleepy, financials-heavy market. They are not wrong about the composition. But that composition is exactly what makes the SGX an effective machine for hitting Munger's threshold. The SGX is dominated by:

• Three globally rated banks (DBS, OCBC, UOB)
• A deep bench of S-REITs, statutorily required to distribute at least 90% of taxable income
• Business trusts owning regulated infrastructure (NetLink NBN, Keppel Infrastructure Trust)
• A handful of conglomerates and GLCs with long dividend histories

Dividends from Singapore-incorporated companies are received tax-free in your hands. The cash that hits your CDP-linked bank account is yours. That is a structural advantage that compounds more than most retail investors realise, particularly during the accumulation years, when every dollar of dividends can be reinvested without slippage.

The practical playbook, in the order I'd actually do it

1. Salary truncation before stock-picking

In the book, I call this salary truncation — fix your lifestyle expenses at a level well below your gross income and route the entire surplus into investments before you see it. This is the same idea the FIRE community now packages as "pay yourself first," but I think the word "truncation" is more honest about what it requires: you cap the top of your spending, you do not negotiate the cap upward when you get a raise, and you treat the gap as non-discretionary.

For a fresh graduate earning S$4,000 a month, truncating lifestyle at S$2,200 leaves S$1,800 a month before CPF deductions. That alone, invested over five years at a 5–6% blended yield with reinvested dividends, plants the first S$100,000 before you turn 30. The arithmetic is unforgiving in both directions — saving rate, not stock selection, is the dominant variable from $0 to $50k.

2. Use CPF and SRS as the floor

CPF Ordinary Account interest at 2.5% and Special Account interest at 4% are not portfolio assets you can spend; they form the platform underneath everything else. Topping up SA early in your career converts taxable income into a 4% risk-free compounder. SRS contributions reduce taxable income at your marginal rate — for someone earning $80k, every dollar of SRS contribution effectively earns you 11.5% back before you've invested it. Use SRS to buy SGX-listed counters, and you've now stacked a tax shelter on top of the tax-free dividend treatment.

3. Open a real brokerage account

A CDP-linked brokerage (Tiger, Moomoo, Webull, Interactive Brokers, the bank brokerages — pick one with low commissions and clean reporting). Brokerage choice is a low-stakes decision. The high-stakes decision is whether to open the account this month rather than next year.

4. Build a Six Workhorses portfolio

This is the structure I teach in my Moomoo talk and on the YouTube channel. Six categories of SGX-listed instruments, each doing a specific job:

Workhorse	Role	Yield Range (2025)	Example
Singapore REITs	Income engine	4–6%	Frasers Centrepoint Trust (J69U), CICT (C38U), Mapletree Logistics (M44U)
Singapore Banks	Hybrid anchor — income + capital	5–6%	DBS (D05), OCBC (O39), UOB (U11)
Business Trusts	Steady distributor — regulated cash flow	5–6%	NetLink NBN Trust (CJLU), Keppel Infrastructure Trust
Growth Stocks	Long-duration capital appreciation	1–3%	SGX (S68), ST Engineering (S63)
SDRs	Foreign exposure in SGD	varies	US blue-chip Singapore Depository Receipts
Bonds / Cash	Ballast for drawdowns	3–4%	T-bills, SSBs, MMFs

For someone heading toward the first $100,000, I'd weight this heavily toward the income engine: roughly 40% REITs, 25% banks, 15% business trusts, 10% growth, 5% SDRs, 5% bonds/cash. The point isn't sophistication. The point is that within six months of starting, you have a portfolio that throws off cash, and the cash buys more units, and the units throw off more cash. Munger's flywheel begins turning earlier than you expect.

5. Dollar-cost average monthly, ignore the chart

A monthly standing instruction beats a quarterly attempt at market timing. Singapore's regular savings plans (POSB Invest-Saver, OCBC BCIP, FSMOne RSP) let you DCA into STI ETF or selected blue chips for a few dollars in commission. Use them for the bulk of contributions and reserve manual buys for the occasional fat pitch.

What does the dividend stream actually look like?

This is the part most beginners want quantified. Let me show you what a S$100,000 portfolio yields based on the actual numbers from my research notes:

A representative allocation:

Position	Allocation	Yield	Annual Dividend (SGD)
DBS (D05)	S$15,000	4.86%	S$729
OCBC (O39)	S$10,000	~5.0%	S$500
UOB (U11)	S$10,000	4.95%	S$495
Frasers Centrepoint Trust (J69U)	S$15,000	~5.5%	S$825
CICT (C38U)	S$10,000	~5.0%	S$500
Mapletree Logistics Trust (M44U)	S$10,000	6.1%	S$610
Keppel REIT (K71U)	S$10,000	~5.5%	S$550
NetLink NBN Trust (CJLU)	S$10,000	5.39%	S$539
STI ETF (ES3)	S$10,000	~3.5%	S$350
Total	S$100,000	~5.1%	~S$5,098

About S$5,100 per year, or S$425 per month, tax-free, paid mostly semi-annually with REITs paying quarterly. That sum, on its own, will not retire you. But it will:

• Pay a typical Singaporean's monthly utility bill, mobile plan, and Netflix on permanent autopay.
• Add roughly $5,000 a year to your reinvestment budget — which at your monthly DCA cadence is an additional half-month of contributions every year for free.
• Cover the annual premium on an Integrated Shield Plan and a term life policy without touching your salary.

That is what Munger meant by "ease off the gas." Once $100,000 is working, the portfolio funds a slice of your life unprompted. You stop being the only engine in your household.

A realistic timeline

For a Singaporean earning median graduate wages with a disciplined truncation rate of 40–50%, the milestones look roughly like this:

• Year 0 → Year 2: $0 to $10,000. Brutal. All saving, almost no compounding. The dividend stream is a rounding error. This is the phase where most people quit. Don't.
• Year 2 → Year 5: $10,000 to $50,000. Compounding becomes visible. Dividends start funding meaningful reinvestments. You begin to notice that your portfolio adds a few thousand to itself in a good market year.
• Year 5 → Year 8: $50,000 to $100,000. The flywheel. By the end of this phase the dividend income is north of $5,000 a year and you are roughly halfway to the point where the portfolio adds more in a year than you contribute.

I covered this exact path in three pieces on the YouTube channel — Journey to your First Million Parts 1 (to $10k), 2 (to $100k), and 3 (to $1M). The third part is conceptually easier than the second. Munger wasn't lying about the first hundred being the hard one.

The closing thought

Munger's $100,000 line is sometimes read as a Spartan ethic — eat coupons, walk everywhere. I think it's better read as a structural observation about thresholds. There is a depth at which a portfolio starts to feed itself, and the journey from $0 to that depth is the most expensive journey in personal finance because it is paid for entirely in deferred consumption.

The Singapore investor's advantage is that the road is well-paved. Tax-free dividends, mandatory CPF savings, regulated REITs, three of the world's better-run banks, and a brokerage account you can open from your phone tonight. The infrastructure is sitting there. The only question is whether you start salary-truncating this month or next year.

I started in my twenties. I'd rather you didn't wait until your forties.

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If you found this useful, the long-form treatment is in Growing Your Tree of Prosperity (Book 1 of the Prosperity Series). The dividend-stage version — how to live off the harvest once the tree is grown — is in Harvesting the Fruits of Prosperity (Book 2). Both books, plus the SIAS talks, are the substrate from which this article was generated.

Are you lower value human capital?

 

As of the time of writing, the boss of Standard Chartered has already apologised for talking about replacing lower-value human capital with investments in AI, but I don't think that the sentiment of fear has faded, given that the DBS CEO has put it in much more politically correct terms, that even a CEO can be replaced by AI.

So, there should be some kind of framework to deal with AI disruption that will, perhaps indirectly, answer the question of whether a person is indeed lower-value human capital. 

Do note that these days, lower-value human capital is no longer the usual suspects like blue-collar workers or support staff. Lower-value human capital can encompass lawyers, accountants, or engineers, as the value of knowledge has declined significantly, raising the question of what the point of investing so many years in tertiary education is when knowledge has become so cheap over time.

So I'm going to develop a framework to address AI disruption.

We need to first construct a 2x2 matrix.

On one axis, we have AI optimists and AI pessimists. At the moment, I have noticed that entrepreneurs seem to enjoy and look forward to what AI can bring to their businesses, as much of the work no longer needs to be outsourced. One example of an AI optimist is Malaysian influencer Tim Tiah, who replaced his marketing vendor with a CRM system he vibe-coded himself, saving a six-figure sum every year. You can find AI-pessimists everywhere these days, but to me, someone like LinkedIn personality Ives Tay probbaly represents one of the most negative thought leaders on Singapore's AI drive today.

On another axis, we have makers versus takers. I use Ayn Rand's literature to divide the world into two main categories - makers and takers. Makers have to build things, and everything they do needs to be constantly challenged by the brutal hand of reality. If you are an IT engineer building and architecting systems, you are, in essence, a maker. A taker is someone who does not make but may have the power to regulate a maker. An IT auditor is a taker because he does not build systems; he checks and regulates them, as do many left-wing intellectuals. While it may seem that a maker is more heroic and useful than a taker, a taker can slow things down and prevent a humanitarian disaster (China's management of COVID is what happens when makers are not restrained by takers). Personally, my best career years were in IT Governance, which makes me a taker by my own definition.

With these two axes well-defined, we can figure out the best strategies for coping with AI.

If you are an AI-optimistic maker. Your best strategy is "Scorched Earth". As a person who believes in AI and someone who can build, your best strategy is to build systems to eventually replace your more stubborn peers. I've done a fair bit of vibe coding and have built an agentic pipeline program to summarise legal cases, and my students love it! At the very least, it demonstrates how efficiently it can run a legal team, and it might enable a smaller, more senior team to handle the same number of cases. On Instagram, entrepreneurs are using AI to avoid paying for expensive headcount or buying service contracts.

If you are an AI-optimist and a taker. Your best strategy is "Obstruction via Governance". If you can't build or create anything out of AI, but you love what AI is, then why not govern it and keep it from scorching everyone else? There will be a large number of compliance and governance jobs coming online because people are terrified of AI's potential, and you can work on aligning AI to business objectives. Yes, you remain functionally worthless because you don't build anything, but you can set up checks and balances against those who might decide to Scorch Earth the organisation.

If you are an AI-pessimist and a maker. Your best strategy is "Analogue Rebellion". I believe that there will always be a place for makers everywhere, even those who hate AI and can't cope with change. I think, given the backlash against AI, people will turn against anything digital and go analogue, and many analogue businesses and careers will thrive. Maybe you can start a business selling musical instruments or vinyl records. I was tickled pink when cassette players were sold in Swee Lee for hundreds of dollars. The resurgence of RPGs and pen-and-paper gaming points to how tired Gen Z is of AI.

Finally, there will be those AI-pessimists and takers. So you can't build things, and you really hate AI for it. I think this category comes the closest to a lower value of human capital. Your best strategy is "Strategic Retreat". At the lower end of things, you may be better off picking up a trade like plumbing or becoming a hawk, but the best odds of survival are to see whether you can thrive in a career in sales, like becoming a financial advisor or real estate agent. So the best thing to do is get a license early, because corporate work might not wait.

So in summary, if you think my framework makes any sense, the person most likely to be replaced by AI is AI-pessimists who are takers. It is not the end of the world for them because the world of sales (and maybe life coaching) is still a possibility.

Let me know what you think about this framework.

Speaking at REITs Symposium This Saturday — I Have Skin in the Game

This Saturday, 23 May 2026, I will be one of the speakers at REITs Symposium 2026 by AlphaInvest, at Suntec Convention Centre, Level 3, Summit 1 & 2. The event runs from 10AM to 5PM. Access to the Engagement Zone, where I am speaking, is completely free — ticket link is at the bottom.

I will be upfront with you: I am not an academic speaker who talks about REITs in the abstract. As of mid-May 2026, REITs make up a substantial portion of my own 66-stock portfolio. I hold positions in ESR REIT, Mapletree Industrial Trust, Frasers Centrepoint Trust, Keppel DC REIT, AIMS APAC REIT, CapitaLand Ascendas REIT, and several others. When I talk about evaluating a REIT for sustainable income, I am making the same decisions I would with real money.

That is the context I will bring to this talk.

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Why this moment matters for REIT investors

The current environment is genuinely interesting, and not in a comfortable way. With inflation pressures elevated and geopolitical uncertainty feeding into rate expectations, REITs have been taking a breather. Prices are soft. Yields look more attractive than they have in years — S-REITs are currently averaging around 5.6% distribution yield.

But here is the trap I will specifically warn against: a rising yield number is not always good news. A REIT's yield goes up when its price falls. And a price can fall because the market is wrong, or because the market knows something about the distribution sustainability that a casual investor might miss.

That distinction — between a REIT that is cheap and a REIT that is cheap for a reason — is the heart of what I want to talk about on Saturday.

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What I will actually cover

The talk is called "Early Retirement with REITs: Turning Property Income into Life Optionality."

I will open with the only equation that matters for FIRE:

Investment Income ≥ Living Expenses = Optionality

Not freedom from work. Optionality. The ability to choose. After I left corporate life at 39 — when dividend income crossed my take-home pay — I did not stop working. I went to law school, started teaching at Temasek Polytechnic, built investing tools for the ERM community, and kept writing this blog. Dividends funded reinvention, not retirement in the conventional sense.

I wrote a post in April this year titled "Discover the meaning of your life before you press the early retirement button." That is the framing I will bring to Saturday's talk, too. FIRE is not a destination — it is a precondition for doing the things that actually matter to you.

From there, the talk goes practical:

The Crossover Point. How to calculate the portfolio size you actually need. If your annual expenses are S$45,000, you need roughly S$900,000 at a 5% yield. That number is clarifying. It gives you a target rather than a vague aspiration.

Why the first S$100 a month matters. This is not enough to retire on. But it is enough to believe the system works. That shift — from abstract investing theory to real cash appearing in your account — changes how seriously people take portfolio discipline. I will explain why I think this milestone deserves more attention than people give it.

The five filters I use before buying any REIT. This is the substantive core:

1. Start with the assets — occupancy, weighted average lease expiry, tenant concentration, rental reversions
2. Debt decides the dividend — leverage ratio, interest coverage, maturity profile, fixed vs floating mix
3. Good DPU beats high DPU — is distribution per unit stable and backed by recurring cash operations, or is it being inflated by dilutive equity issuance?
4. The manager matters — sponsor quality, acquisition track record, whether fees align with unitholder returns
5. A good REIT can still be a bad buy — valuation, yield spread against risk-free rates, and margin of safety

I will also share data from a 10-year Yahoo Finance study I ran for the ERM course, showing that low-beta REITs — those with a 3-year beta below 0.8 — have been the most reliable income workhorses for Singapore investors. The aim is not to beat the market. It is to build an income stream that survives bad years without forcing you to sell at the bottom.

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A practical framework for beginners

For anyone just starting out, I will walk through how I think about building a first REIT sleeve — a core defensive position in suburban retail or healthcare, an industrial and logistics component, and, optionally, a data centre or life sciences exposure for long-term structural tailwinds.

The ERM starter portfolio I teach in the masterclass is built around four counters: one bank, one REIT, one business trust, and one Singapore Depository Receipt. The REIT anchors the income side. Saturday's talk will give you the lens to decide which REIT deserves that slot in your own portfolio.

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Come find me

I will be at the Engagement Zone for the full event. If you have been sitting on a REIT question — whether to hold through a distribution cut, whether a particular counter's leverage looks manageable, whether the yield you are seeing is genuine or a warning — come and ask it directly. I will give you a straight answer.

The homework I will set before you leave: calculate your annual expenses, target your first S$100 a month in investment income, and shortlist three REITs using the five filters. That is a Saturday morning well spent.

Get free access using my partner link:

👉 Register here — Free with Discount Code PARTNERS26

Event details:

• Date: Saturday, 23 May 2026
• Time: 10AM – 5PM
• Venue: Suntec Convention Centre, Level 3, Summit 1 & 2
• Engagement Zone: Free

See you there.

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For investor education only. Not financial advice. Please do your own due diligence.