AI in the property sector is no longer just an experiment
Just a few years ago, artificial intelligence (AI) was seen mainly as a technology of the future, used primarily by the IT sector and the world’s largest tech corporations. Today, it is having an increasingly significant impact on the residential, commercial and investment property markets.
The growing volume of data, the development of analytical tools, cost pressures and the need for faster decision-making mean that AI is becoming one of the most important elements of the real estate industry’s transformation. The application of artificial intelligence now extends beyond marketing and customer service to include advanced investment analysis, automated property valuation models (AVMs), building management and the optimisation of operating costs.
At the same time, the property market remains a sector heavily reliant on expert experience, local knowledge and risk analysis. Therefore, the key question today is not whether AI will replace property market specialists, but how it will change their role and the decision-making process.
AI and investment decisions in the property market
Artificial intelligence is also increasingly being used to support investment processes and property portfolio management.
Advanced analytical models enable:
- analysis of a location’s potential,
- forecasting of price changes,
- assessment of investment risk,
- analysis of the rental market,
- identification of demand trends,
- modelling of investment scenarios.
In Western markets, investment funds and asset management firms use machine learning-based solutions to analyse vast amounts of market and economic data in near real time.
In the long term, this may lead to further professionalisation of the property market and an increase in the importance of data as a key business asset.
Poland and Western markets — differences in the level of AI development in the property sector
Although interest in PropTech and artificial intelligence is clearly growing in Poland, the domestic market is still at an earlier stage of development than the US or Western Europe.
The main barriers include:
- limited access to comprehensive data,
- low levels of information standardisation,
- market fragmentation,
- limited digitisation of certain processes,
- high dispersion of property owners.
At the same time, Poland remains one of the most promising markets in Central and Eastern Europe for the development of PropTech. The growing importance of the private rental sector, the development of modern office spaces and pressure to improve energy efficiency are likely to accelerate the roll-out of AI-based solutions.
In practice, the most rapid uptake is currently being seen in:
- modern Class A office buildings,
- the warehouse sector,
- property platforms,
- major property developers,
- the institutional living and PRS sectors.
Risks and limitations associated with AI in the property market
Despite the rapid development of artificial intelligence technology, its use in the property market also presents a number of challenges and risks.
The most significant of these include:
- the risk of inaccurate or incomplete data,
- limited transparency of algorithms,
- the potential for model errors to be replicated,
- issues of liability for investment decisions,
- cybersecurity,
- data protection.
Another key issue will be the legal regulations surrounding AI, including the European AI Act, which could significantly influence the way algorithms and data are used in the property sector in the coming years.
In practice, this means striking a balance between automation and expert oversight. In the property sector, investment decisions still require not only data analysis, but also experience, market knowledge and an assessment of qualitative factors.
How will AI transform the property market in the coming years?
All the signs suggest that artificial intelligence will be one of the key drivers of transformation in the property market over the next decade.
The greatest impact of AI is likely to be seen in:
- automation of investment analysis,
- building management,
- optimisation of operating costs,
- market data analysis,
- personalisation of sales processes,
- support for ESG strategies.
At the same time, it is unlikely that AI will completely replace property market experts. A far more likely scenario is one in which the technology becomes a tool to support advisors, investors, valuers and property managers in making faster and more accurate decisions.
For companies operating in the property market, it will therefore be crucial not only to keep abreast of new technological developments, but also to be able to effectively combine data analysis with expert knowledge and an understanding of local market conditions.
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