Why 2026 Will Be Selective Beneath a Calm Surface

Over the holiday break, I spent more time outdoors than usual. Much of it was on the Hawkesbury River with my children, working on a marine predator behavioural model I’ve been refining for several seasons. It’s effectively a probability-based digital twin of the NSW coastline, with an ecological overlay built around how predators actually hunt rather than how people assume they do.

It predicts how fish move through space, how they use structure and current, and how search patterns collapse once conditions align. Most effort is wasted until probability concentrates in a narrow pocket.

It wasn’t the fish that mattered. It was the lesson. When systems are constrained, outcomes don’t spread evenly; they cluster. Pattern recognition matters more than force, and patience matters more than speed.

That frame became unexpectedly useful as the year turned.

Where We Are Now

As we enter the new year, the Australian property market looks deceptively calm. Headline figures for December indicate modest growth and slowing momentum. At the surface level, it can feel as though very little has changed.

At the suburb level, a very different picture emerges.

What we are seeing is not stagnation, but reorganisation.

Borrowing capacity remains constrained, and supply remains structurally tight. However, demand has not disappeared; instead, it has been forced to express itself in narrower and more specific channels. More affordable suburbs continue to record incremental price gains, while less affordable markets increasingly fail to clear. National averages smooth this out, but they don’t negate what’s happening underneath.

This kind of environment rewards a very different approach to decision-making. Speed matters less. Broad exposure matters less. What matters is understanding where probability is concentrating, and why.

The work I do across the property market, particularly at the suburb level, is built around that problem. It’s about understanding how constrained systems reorganise, what that process looks like in real time, and what is most likely to happen next.

The rest of this piece explains how that way of thinking is formed, how it applies to the current market, and why it matters for the year ahead.

The Economic Backdrop: Rates on Hold Isn’t Neutral

Most commentary last year treated interest rates as a binary question: rising or falling. That framing misses what matters.

The cash rate has been held at 3.6% for an extended period. Inflation has eased but not cleanly enough for the RBA to continue cutting. The result isn’t stasis. It forces the market to adapt.

Rates don’t just change borrowing costs; they reshape behaviour. Households adjust expectations. Businesses adjust hiring and investment. Asset markets adjust what clears and what doesn’t.

Extended periods of restrictive but stable rates don’t break systems. They reorganise them.

That reorganisation is what we’re seeing now.

Why 2025 Was Strong, and What It Means for 2026

Despite higher rates and worsening affordability, 2025 delivered strong housing gains. National dwelling values rose around eight to nine percent, with particularly strong performance in more affordable capitals and selected regional markets.

The explanation isn’t sentiment. It’s constraint.

Australia entered this period with a structural housing shortage that predates the current cycle. Construction has been weak for years, and population growth resumed faster than supply could respond.

What changed through 2025 wasn’t demand. Demand was still present, but it could no longer express itself normally. Most purchasers simply didn’t have the borrowing capacity to buy what they wanted. The relevant question became where demand could still transact.

As borrowing capacity tightened, performance concentrated in suburbs and price points that remained serviceable under existing lending conditions. More expensive areas didn’t collapse; they simply stopped clearing. Listings lingered. Volumes thinned. Indexes appeared calm because fewer transactions were occurring.

If borrowing capacity remains constrained and rates stay near current levels, this dynamic is likely to persist through 2026. Not because affordable suburbs are inherently better, but because they remain possible.

What the Headline Numbers Don’t Show

National data looks subdued. Monthly changes are small. Some markets appear flat. It’s easy to conclude that little is happening.

The problem is that headlines hide the internal re-ordering beneath them.

Affordable areas continue to transact and post incremental gains. Less affordable areas record fewer transactions, masking underlying softness. Averages flatten volatility, but they don’t negate it.

This is how constrained systems move: quietly and unevenly.

Second-Order Effects and Early Signals

A second-order effect is an outcome that doesn’t flow directly from a change, but emerges as a by-product of how a system adapts.

Higher rates reducing borrowing capacity is a first-order effect. Where activity clusters, which behaviours change, and which signals begin grouping together are second-order effects.

While building a model around retail violence and public-space risk outside of work, I stumbled on a recurring pattern: in the most expensive markets, suburbs recording strong price performance were often also recording elevated levels of reported violent incidents.

This isn’t causal. Violent crime doesn’t drive growth.

In this context, recorded violence is acting as a proxy for affordability. Suburbs that remain relatively cheap tend to have higher density, greater population turnover, more rental stock, and more late-hour economic activity. Those same conditions also generate higher levels of recorded incidents. The correlation reflects shared structure, not cause and effect.

It’s early-stage gentrification. Capital moves first into places that are still accessible, not because they are polished, but because they’re possible.

What It Means for Investors in 2026

When systems are constrained, performance doesn’t spread evenly. It concentrates.

Under current conditions, that concentration is most visible in suburbs that remain serviceable under existing lending settings. Examples that fit this profile include:

NSW: Austral (2179)
VIC: Werribee (3030)
QLD: Fortitude Valley (4006)
SA: Mount Gambier (5290)
WA: Merredin (6415)
NT: Coconut Grove (0810)

These are not predictions or endorsements in isolation. They’re illustrations of markets where demand can still transact under constraint.

If current conditions persist, suburbs like these are structurally positioned to outperform their broader state averages. Not indefinitely, and not without volatility, but relative to markets where price points are no longer serviceable.

Why This View Exists

The property model I use is regression-based and analog-driven. It estimates expected growth rates at the suburb level by comparing current conditions to historical environments across multiple cycles and observing how similar setups resolved in the past.

Its purpose isn’t certainty. It’s error reduction. Most damage in investing doesn’t come from being slightly early or late, but from category errors: the wrong asset, in the wrong place, at the wrong point in the cycle.

This model is designed to minimise those errors and is validated through extensive back-testing.

Final Thought

The lesson from the river wasn’t about fishing. It was about how systems behave when they’re constrained. Opportunity doesn’t disappear. It becomes unevenly distributed and harder to see. It exists in narrow pockets, not everywhere.

The last few years rewarded speed, confidence, and broad exposure. The next phase is more likely to reward selectivity, patience, and the ability to recognise where probability is quietly concentrating beneath stable-looking averages.

Welcome back. There’s a lot to unpack this year, and we’ll do it properly.