Why the Property Sector Can't Seem to Evolve

There was a moment at GPT Group when the numbers stopped working and I couldn't explain it away anymore. We were working through the feasibility of a retail development — a great project, well-located, growing and affluent market, well conceived — and no matter how we ran the numbers, it wouldn't stack. Construction costs had risen. Retail income had softened. The yield the market demanded had barely moved. The formula we'd relied on for decades was quietly, stubbornly broken.

What struck me wasn't the result. It was the room. The conversation kept returning to the same question: how do we make this work? Not: has something structurally changed? Not: is the model we've relied on still valid? The assumption — unspoken but present in every exchange — was that the numbers could be made to work if we were clever enough, if we tweaked something in the formula. That this was a financial engineering problem, not a signal.

It was a signal. The digital economy was already beginning to do to retail property what it would eventually do to the entire sector — expose the gap between what the built environment was delivering and what the people using it actually needed. The project was a symptom. The industry's response was to look harder at the spreadsheet.

I've thought about that room many times since. Not because the people in it were unsophisticated or unintelligent — they weren't. But because it illustrated something I've come to believe is the defining problem in property and construction: the sector doesn't lack intelligence. It lacks the incentive to use that intelligence in service of genuine change.

Consider how the industry is actually structured. A developer acquires land, engages a design team, appoints a contractor, and hands the finished asset to a tenant or buyer. Each party is a specialist — architects, quantity surveyors, project managers, engineers, contractors — but critically, they sit in separate organisations, engaged individually, procured project by project, and then dispersed. There is no persistent supply chain. There is no accumulated institutional knowledge between parties. Every project begins the integration problem from scratch.

Compare that to the automotive or aeronautical industries. In those sectors, supply chains are deeply integrated over long periods — manufacturers, component suppliers, and technology partners build shared systems, shared standards, and shared incentives across decades of collaboration. The result is compounding improvement: each cycle builds on the last. In property and construction, that compounding almost never happens. The team that delivered one project is reassembled differently for the next. The lessons learned dissolve at practical completion.

This is fragmentation — and it isn't accidental. It's the accumulated result of decades of rational decisions made by individual parties, each protecting their position in a chain that rewards what each party delivers in isolation over what the project produces as a whole. The quantity surveyor's value proposition depends on the client needing someone to manage the interface between design and construction cost. The independent project manager exists because the parties in the supply chain don't trust each other enough to manage the whole. Each specialist layer adds a handoff. Each handoff loses information. Each lost piece of information compounds the inefficiency downstream.

And here is the uncomfortable truth: many of the people best positioned to see this clearly have the least incentive to say so. The advisory and consulting layer in property — and it is substantial — has been built on the back of fragmentation. More complexity means more scope. More scope means more fees. A consultant who genuinely integrated the supply chain and removed the friction between parties would, if successful, reduce the need for their own services. The incentive to protect the existing structure runs directly through their business model. This is not a personal failing. It is a structural one.

The developers and asset owners are not exempt. The pressure to deploy capital, hit return hurdles, and satisfy investor timelines creates a consistent bias toward repeating what worked before. Experimentation is expensive. Failure is visible. The organisations that should be demanding transformation from their supply chains are often the ones most committed to the models that produced acceptable returns in the past — right up until the point when those models stop working.

And so the sector sits in a peculiar condition: almost everyone inside it understands that it underperforms. Productivity data going back decades tells the same story. Construction costs keep rising. Delivery timelines keep slipping. Quality remains inconsistent. The conversation about modernisation — about technology, about new methods, about doing things differently — has been continuous for as long as I can remember. And yet the structural conditions that produce the underperformance remain almost entirely intact.

Technology won't fix this. Not because the tools aren't capable — they increasingly are — but because you cannot solve a system problem by adding a product to a broken system. Every technology vendor that has targeted property and construction over the past decade has built for the fragmented supply chain as it exists. More efficiently fragmented is not transformed.

What genuine evolution requires is a different kind of intervention: someone willing to redesign the incentive structure itself. To build models where all parties are rewarded by the overall outcome of what gets built. To engage seriously with the upstream conditions — planning frameworks, procurement models, policy settings — that determine whether new approaches can achieve the scale at which they become economically compelling. To take the long view in an industry that has systematically rewarded the short one.

That's harder than buying software. It requires conviction that the status quo is no longer acceptable — and the willingness to act on that conviction before the numbers in the room make it unavoidable.

So here's the question I'd put to anyone in the sector reading this: when the model stopped working in your room, what did you do? Did you look harder at the spreadsheet — or did you ask whether something had fundamentally changed?

The answer to that question is probably the most honest indicator of whether your organisation is capable of what comes next.