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You Can Almost Afford a House. That’s the Problem.

By Srinivas · Published April 10, 2026 · 5 min read · Source: DataDrivenInvestor
EthereumAI & Crypto
You Can Almost Afford a House. That’s the Problem.

Why housing is shaped — by the system, not by people — to stay just out of reach.

Modern housing: A shelter for people, or a vault for capital? Image generated by the author via AI

I thought I understood how buying a house works. Earn well. Save consistently. Upgrade when ready. Simple.

Then I opened a few listings in a major Indian metro. ₹1.2 crore. ₹1.6 crore. ₹2.2 crore. And something didn’t make sense. Because technically, it was affordable. But practically, it didn’t feel that way at all.

The Illusion of Affordability

That’s the strange part about housing today. It doesn’t feel impossible; it feels just possible enough to pull you in.

Across global markets, homes typically cost 4–6 times annual income. In Indian Tier-1 metros, that ratio often stretches to 10x or 12x. On paper, a well-earning household looks at a ₹1.5 crore home, and the math seemingly works. But real life is lived in the margins.

Image generated by the author via AI

What the Math Doesn’t Show You

Let’s look at the mechanics of a typical urban purchase:

On an annual income of ₹30 lakh, a ₹12 lakh EMI looks like 40% of your earnings. But that’s before the taxman takes his share. After taxes, your actual take-home is closer to ₹23–24 lakh.

In reality, you aren’t committing 40% of your income; you are committing 50–60% of your actual liquid life. This isn’t just affordability. This is compression.

“The system doesn’t want housing to be impossible; it wants it to be just possible enough to ensure a 20-year commitment.”

The Global Bid: Why Local Income Is No Longer the Anchor

We often assume we are bidding against the couple next door. In reality, a house in a major Indian city has become an International Asset Class.

Recent data from early 2026 shows that the share of NRIs in Indian property purchases has climbed to 18–20% — nearly double what it was a decade ago. In the luxury and “ultra-prime” segments, that number jumps to 25–30%.

For a global professional earning in USD or AED, a premium Indian apartment is a Currency Play. They aren’t buying based on a local salary; they are buying with Global Capital. This creates a Leapfrog Effect that ripples through the economy:

  1. Tier-1 Displacement: Global capital sets a high price floor in the Metros. Local high-earners, priced out of their own city’s “prime” zones, move their capital “down” into Tier-2 cities.
  2. The Chain Reaction: Buyers in Tier-2, seeing prices surge from this Tier-1 influx — some by over 70% in five years — move their capital into Tier-3 towns.
  3. The Overflow: Money moves downward through the tiers, but the price pressure moves upward everywhere.
The geography of capital: How a salary in Dubai sets the price for a plot in a Tier-3 town. Image generated by the author via AI

The price of a home in a smaller city is no longer driven by its local job market, but by the “overflow” of capital from a city hundreds of miles away. Capital is always more mobile than a local paycheck.

The Prisoner’s Dilemma: Why the “Trap” is Rational

If we look at this through the lens of Game Theory, we can see why individuals continue to buy even when the math is skewed. This is a classic Prisoner’s Dilemma, where rational actors make a choice that is sub-optimal for the group but necessary for the individual.

Imagine you are one of those actors. You have two choices: Buy Now or Wait.

The Nash Equilibrium of Housing: Even if wait is better for the group, ‘Buy Now’ is the safe individual strategy. Image generated by the author via AI

If everyone “Cooperated” and waited, the lack of demand would force prices down. That is the collective win. But in a market with thousands of invisible competitors, you cannot coordinate. This creates the Sucker’s Payoff. If you wait for a “correction” that never comes while everyone else buys, you are left with the catastrophic risk of being permanently excluded from the market.

The market settles into a Nash Equilibrium. No buyer can improve their situation by changing their strategy alone. Even if you know the house is overpriced, your most “rational” move is still to buy — simply to protect yourself from being left behind.

The Three Essentials — and the One That Stretches

We grow up with the mantra: Roti, kapda, makaan. Food, clothing, shelter.

Food is protected because it is a survival baseline. Clothing is accessible because it scales with technology. But housing? Housing is where the pressure is allowed to build. It is the one essential that absorbs demand, aspiration, credit, and investment all at once.

While food and clothing have been commoditized, housing has been successfully financialized.

This Isn’t a Bug. It’s a Calibration.

It’s easy to think the market is “broken.” But from a systemic perspective, what if it’s working perfectly? Think about the outcomes:

Housing isn’t becoming “too expensive.” It is becoming perfectly calibrated. Not too expensive to stop you from signing the papers, but not cheap enough to ever truly free you.

“Housing is the most efficient labor-productivity tool ever designed. It ensures you won’t quit the job you hate because the 1st of the month is always coming.”

Maybe Nothing Is Broken

We often view high housing prices as a problem that needs “fixing.” But what if this is simply the evolution of the modern economy?

What if the “Makaan” of the 21st century is doing exactly what the system needs it to do: keeping us earning, planning, and committing our future income decades in advance?

It’s not by design. It’s by evolution. The market hasn’t failed; it has found the exact price point that keeps the gears turning.

Note on AI usage: This article was researched and written with the assistance of AI for data structuring and tonal refinement.


You Can Almost Afford a House. That’s the Problem. was originally published in DataDrivenInvestor on Medium, where people are continuing the conversation by highlighting and responding to this story.

This article was originally published on DataDrivenInvestor and is republished here under RSS syndication for informational purposes. All rights and intellectual property remain with the original author. If you are the author and wish to have this article removed, please contact us at [email protected].

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