From View From The Top, 20 May 2026
Where Is the Edge
Technology, Data, and the Disappearing Arbitrage in Real Estate
I left a comment on a LinkedIn post this week. The post was about the real estate development gap — construction costs elevated, asset values reset, the math broken at step two. A good piece of analysis. Accurate diagnosis.
But I said there’s more to this story.
The replacement cost gap is real. The development pipeline stalling is real. The capital flooding into existing assets rather than new supply is real. But underneath all of that — moving more slowly— is something else entirely.
I think that technology and data are dismantling the information asymmetry that real estate has been built on for a century.
And when that asymmetry goes, the business models built on top of it go with it.
I’ve seen this before. I just saw it somewhere else.
THE WALL STREET LESSON
Think about what happened to Wall Street, clearing firms and the industry that supported the liquid markets years ago.
Not the simplified version — “technology replaced them.” The specific mechanism.
This industry of people and clearing firms, existed because markets had information gaps and required managed liquidity and professional oversight. The friction of matching buyers and sellers, of settling transactions, of managing the complexity of financial intermediation created genuine value. The firms that could navigate that complexity earned the right to charge for it.
Then technology and the availability of real time data closed the gap.
Electronic trading democratised access to price data. Settlement systems automated what had required armies of people. The complexity that justified the intermediary was systematically removed.
When the information gap closed, the business model collapsed. Quickly.
And an entire industry — of which I was a part of, and thousands of jobs, serious infrastructure, real money — didn’t lose to a competitor. It lost to transparency.
The edge that justified the clearing firm’s existence was information asymmetry. When that asymmetry disappeared, so did the justification for the fee.
Real estate is probably next. Why you might ask?
HOW REAL ESTATE WAS BUILT ON ASYMMETRY
Real estate like the equity markets of old, has always rewarded those who knew something others didn’t.
The broker who knew the off-market deal before it came to market. The lender who understood local values better than any model could capture. The fund manager who could read a micro-market — its planning quirks, its demand nuances, its developer relationships — in a way that gave them a genuine pricing edge.
That asymmetry was real. It justified careers, firms, and fee structures that have been largely unchanged for decades. It also justified an extraordinary amount of intermediation.
Because when information is scarce and unevenly distributed, every layer of the stack that adds information — or manages the complexity created by its absence — can charge for doing so.
The result is a fee structure that, when you add it up across a single real estate transaction or investment, is remarkable in its scale.
HOW EXPENSIVE IS IT? THE FULL COST OF THE STACK
Let’s be specific. Because the numbers matter.
On a typical real estate transaction, the intermediation fees look something like this:
At the transaction layer:
Selling agent fees of 1 to 2% of transaction value. Buying agent fees of a similar amount. Independent valuation fees. Legal fees on both sides. On a £10 million transaction, you’re looking at £300,000 to £500,000 before the deal closes.
At the fund and capital layer:
A standard 2 and 20 structure means a 2% annual management fee on assets under management, plus 20% of returns above the hurdle rate. Add fund administration, depositary fees required under AIFMD, annual audit, ongoing legal and compliance. The total drag on returns from the fund structure alone can run to 3 to 4% annually.
At the debt layer:
Arrangement fees of 1 to 2% of the facility. Exit fees of 0.5 to 1%. Monitoring and administration fees. Lender-required independent valuations. On a £5 million development loan, the fee load before a single brick is laid can reach £100,000 to £150,000.
At the advisory layer:
Placement agents raising capital at 2% of the raise. Financial advisors on platform transactions. Tax structuring. M&A advice.
Add it across a single institutional investment cycle and the intermediation cost is not marginal. It is structural. It consumes a significant portion of the return before the underlying asset has done anything.
And for decades, investors accepted this because the information asymmetry justified it. The people charging these fees knew things you didn’t. Their knowledge — of markets, of assets, of relationships — was genuinely scarce and genuinely valuable.
WHAT DATA AND TECHNOLOGY ARE ALREADY DOING
The erosion is already visible across every layer of the stack.
Automated valuation models are replacing human valuers for standard residential and commercial properties. That doesn’t mean automation solves the problem but it makes it super efficient. The major platforms now produce valuations that are accurate enough for most purposes without human intervention. The surveyor’s information edge on standard assets is largely gone.
AI-driven underwriting is compressing the credit decision timeline from weeks to hours for standard loan profiles. When the underwriting model has access to the same transaction data, planning records, comparable sales, and market analytics as the lender’s credit team — the value of the credit officer’s local knowledge on vanilla deals diminishes.
Fund administration is becoming largely algorithmic. NAV calculations, investor reporting, capital call processing, distribution waterfalls — the complexity that justified large back-office teams is being systematically automated. The platforms doing this are better, faster, and cheaper than the human equivalents.
Data platforms are democratising market intelligence. What used to require expensive subscriptions, proprietary databases, and years of market presence to accumulate is increasingly available to anyone with a subscription to the right platform.
When the information gap closes, the fee that was justified by managing that gap comes under pressure and forces deals up the risk curve.
SO WHO DISAPPEARS FIRST
Not everyone in the stack is equally exposed. The vulnerability correlates directly with how much of the value proposition rests on information asymmetry versus genuine operational complexity.
The most exposed are the intermediaries whose primary value was knowing something the client didn’t. Vanilla residential brokers at the commodity end of the market are already under pressure from PropTech platforms that match buyers and sellers more efficiently. The information advantage of knowing which properties are available, at what prices, in which locations is largely gone.
Standard credit underwriting for plain vanilla loans is being automated. The lender whose edge was their ability to assess standard credit risk faster and more accurately than competitors faces a commoditising market.
Generic asset management — funds that hold diversified real estate portfolios without genuine operational involvement in the underlying assets — face the hardest question. If the management fee is justified by information advantage and that advantage is being eroded, what exactly is the 2% for?
Fund administration and back-office functions are already being automated at scale. The firms that have not invested in technology are losing mandates to platforms that can do the same work for a fraction of the cost.
SO WHO SURVIVES — AND WHY
The operators and capital allocators who survive what’s coming share one characteristic: Their edge isn’t information. It’s execution at the local level.
The credit platform that originates loans in fragmented markets — small developers, regional schemes, local planning environments — isn’t competing on data. Everyone has the same data. It’s competing on relationships that took years to build, on the ability to make a credit decision based on knowing a developer’s track record personally rather than algorithmically, on understanding a planning environment that no data platform has yet mapped at sufficient granularity. It;s being able to have intelligent conversation with local operating partners.
That knowledge doesn’t live in a database. It lives in the operator.
The asset manager with genuine hands-on involvement in the underlying assets — who is actively managing development risk, tenant relationships, planning processes, and capital structures — is doing something that cannot be automated. The operational complexity of the deal is the value. The fee is justified because the work is real and the skill is scarce.
The lender whose origination comes from a relationship network built over decades — where borrowers come because of trust and track record, not because of a comparison website — has a moat that technology cannot easily replicate.
In each case the edge has migrated from information to execution. From knowing what to buy to knowing how to operate what you own. From data advantage to operational depth.
THE REPLACEMENT COST GAP AS CONTEXT
This is where the original article connects to the deeper argument. The development math is broken. Construction costs elevated. Asset values reset. No rational developer breaks ground on a project that costs more to build than to buy.
The result is a structurally extended cycle. Existing owners compound quietly while the pipeline stays empty. The asymmetric trade sits with operators who own stabilised assets at reset basis.
But here is the connection to the technology argument.
The operators who benefit most from that extended cycle are not passive asset holders. They are the ones with the operational depth to manage, improve, find alpha and reposition assets in a market where new supply isn’t coming.
And those operators — the ones with genuine local knowledge, real relationships, execution capability in fragmented markets — are exactly the ones whose edge technology cannot replicate.
The replacement cost gap extends their advantage.
The data commoditisation of the stack amplifies it.
WHAT THIS MEANS FOR CAPITAL ALLOCATION
The implications for where capital should sit are significant.
Away from intermediated, fee-heavy structures where the justification for the fee is eroding. Toward direct, operationally engaged capital with genuine execution capability. Away from vanilla strategies where data has commoditised the edge. Toward fragmented markets where operational depth remains scarce and genuinely valuable.
Away from fund structures built on information asymmetry that is disappearing. Toward platforms built on relationships and execution that technology cannot yet replace.
The capital that understands this transition — that is already positioned in the right assets, with the right operators, in the right structures — will look very different in a decade from the capital that is still paying 2 and 20 for an information edge that no longer exists.
HARD LANDING
The big Wall Street clearing firms didn’t see it coming. Not because they were unsophisticated. Because the model had worked for so long that the assumptions underneath it felt permanent. The information asymmetry that justified their existence had always been there. The technology that removed it arrived faster than anyone expected.
Real estate is not financial services. The asset is physical. The relationships are local. The complexity of execution in fragmented markets is real and durable. But the information asymmetry that has sustained layers of intermediation — and the fee structures built on top of it — is eroding faster than the industry has acknowledged.
The operators who understand this are already repositioning. Moving from information-dependent strategies to execution-dependent ones. Building the relationships and operational depth that data platforms cannot replicate.
And by the time it’s obvious, the repositioning window has closed.
