Exhibit at #FPS26
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By Faisal Amin Bhat • Wed Feb 04 2026

The property market is going through a quiet but meaningful transformation. For decades, buying and selling real estate depended largely on experience, local knowledge, and instinct. Decisions were shaped by conversations with agents, market trends, and personal judgment. Today, artificial intelligence is changing that approach by introducing data driven insights that make the process more structured, transparent, and efficient.
One of the most noticeable changes can be seen in property search. Real estate platforms now use AI to analyse user behaviour, preferences, and search patterns. This allows them to present listings that are more relevant to individual buyers. Instead of browsing countless properties that do not match their needs, buyers are guided toward options that align with their budget, location preferences, and lifestyle expectations. This improves decision making and saves time for both buyers and sellers.
Pricing has also become more consistent with the use of artificial intelligence. In the past, property values often varied widely, even within the same neighbourhood. AI powered valuation tools now examine historical sales data, infrastructure development, demand trends, and market conditions to estimate property prices more accurately. While these estimates are not flawless, they provide a clearer and more reliable reference point, helping buyers avoid overpaying and enabling sellers to price their properties competitively.
For sellers, AI offers a more strategic way to approach the market. Predictive analytics help identify favourable listing periods by analysing buyer demand and seasonal trends. In addition, AI tools can recommend specific improvements or presentation strategies based on successful comparable properties. This allows sellers to prepare their properties more effectively and increases the likelihood of faster and better outcomes.
Real estate professionals are also benefiting from this shift. Artificial intelligence automates routine tasks such as managing enquiries, analysing market data, and scheduling appointments. This allows agents to focus on advisory roles, negotiations, and building client relationships. Rather than replacing professionals, AI enhances their ability to provide informed guidance and personalised service, which remains essential in property transactions.
Marketing within the property sector has evolved as well. AI driven platforms optimise digital advertising by identifying the right audience and adjusting campaigns based on performance data. Virtual property tours, automated communication tools, and targeted marketing strategies have improved accessibility and engagement. These innovations ensure that properties receive better visibility while maintaining consistent interaction with potential buyers.
Despite its advantages, artificial intelligence has limitations. Real estate decisions often involve emotional and cultural considerations that cannot be fully measured by data. Factors such as community atmosphere, architectural appeal, and personal attachment still play a significant role. Additionally, heavy reliance on historical data may reinforce existing market patterns if not carefully managed. Human judgment remains essential in interpreting insights and making balanced decisions.
The future of the property market lies in the collaboration between technology and human expertise. Artificial intelligence provides speed, accuracy, and analytical depth. Professionals contribute experience, ethical judgment, and emotional understanding. Together, they create a more informed and reliable real estate environment.
Ultimately, property is about long term value, stability, and trust. Artificial intelligence is not changing these fundamentals. Instead, it is strengthening the decision making process by reducing uncertainty and improving access to information. As AI continues to evolve, its role in shaping the property market will become increasingly important.