In just a few years, automated real estate valuation has established itself in the landscape. In one click, it is now possible to obtain an assumed value of a property based on algorithms.
In just a few years, automated real estate valuation has established itself in the landscape. With one click, it is now possible to obtain an assumed value of a property based on algorithms, transaction databases and statistical models. Fast, free and accessible, these estimates naturally appeal to sellers and buyers alike.
But an essential question remains: can an algorithm really assess the value of real estate?
In very standardized markets, recent apartments, large metropolises, comparable properties, these tools can achieve a relatively good level of precision. Their effectiveness is based on the analysis of thousands of past transactions: surface area, location, price per square meter, typology and even dynamics of the local market. But their reliability drops quickly as soon as the good goes beyond the norm.
Atypical housing, investment properties, renovated old properties, particular micro-locations or inactive markets: in these situations, the machine quickly reaches its limits. Because an algorithm does not “understand” a good. He compares it. However, real estate remains a deeply imperfect, emotional and human market.
An automated estimate perceives neither the real quality of a building, nor the brightness of an apartment, nor the noise, nor the real tension between supply and demand, nor even the psychology of buyers at a given moment. And yet, it is often these invisible elements that cause the real value of a property to vary greatly.
The main risk of automated estimates is not only error. It is sometimes the illusion of precision that they produce. An extremely precise figure, 487,320 euros, for example, immediately gives an impression of certainty. However, this is often a statistical average, not a true market price.
Because in reality, real estate is never worth an exact figure. It is worth what a buyer is willing to pay at a specific time, in a given context. This doesn’t mean automated tools are useless. On the contrary, they allow you to quickly obtain an order of magnitude, follow market trends or even compare certain sectors. But they do not replace human analysis, particularly in strategic decisions.
The modern paradox is perhaps there: never before have estimation tools been so powerful, and yet the real understanding of real estate value remains deeply linked to the land.
The future of real estate valuation will likely be neither 100% human nor 100% algorithmic. The most reliable models will undoubtedly be those capable of combining the power of data, field expertise and a detailed reading of local dynamics.
Because the algorithm calculates. But the expert interprets. And it is often in this gap that the true value of a good is found.
