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Artificial Intelligence

Artificial Intelligence in Practice: how AI is transforming the real estate sector

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The real estate market, a sector that traditionally relies on human relationships, is already reinventing itself in 2025 with the support of artificial intelligence. The application of data, automation, and intelligent algorithms is transforming everything from customer service to property management, including predictive pricing, immersive experiences, and document automation. AI is consolidating itself as a competitive advantage, capable of reducing costs, increasing efficiency, and offering greater transparency in a sector historically marked by bureaucracy.

In our last post, we discussed the consumer electronics sector, showing how AI is already being applied, from operational efficiency to customer experience.

This is the fourth post in the Artificial Intelligence in Practice series, where we explore how this technology is impacting different sectors of the economy. In this post, we show how AI is already shaping the future of the real estate market, bringing practical examples, trends, and the challenges that businesses and professionals will need to face to capture its full potential.

 

Smart service and real estate chatbots

One of the main points of change is customer service. The way people interested in buying or renting properties interact with real estate agencies has undergone significant changes. Previously, contact was mainly face-to-face or by phone, relying heavily on the agent and often involving long response times. Today, we have AI-powered chatbots that work 24/7, answering questions, showcasing properties, qualifying prospects, and helping to connect clients with the most suitable agents.

According to ABRAINC, more than 70% of real estate agencies that already use AI in customer service have seen performance improvements, and 93% believe they will reap even greater benefits in the coming years. This technology brings agility, more personalized service, and the ability to handle more clients simultaneously, an essential factor in an increasingly competitive market.

 

Predictive pricing of properties with AI

Property valuation has always been a challenge for agents and investors, but artificial intelligence has enhanced this process through predictive pricing. Machine learning algorithms analyze large volumes of data, sales history, local infrastructure, urban mobility, economic indicators, and demographic trends to generate more realistic and competitive values.

A study published on ResearchGate, showed that the use of machine learning for pricing results in estimates significantly closer to reality than traditional methods. Looking ahead, property prices are expected to become dynamic, adjusting in real time according to supply and demand, similar to what already happens on platforms like Uber and Airbnb.

 

Immersive experiences: augmented reality and digital twins

Another area where AI has had an impact is in property viewing and visualization. Augmented reality (AR), virtual reality (VR), and digital twins are offering new ways of interaction:

  • 360º virtual tours allow remote visits.
  • Digital staging inserts virtual furniture into images, making listings more attractive.
  • Digital twins simulate not only aesthetics but also energy consumption, preventive maintenance, and even future appreciation projections.

According to JLL, the use of digital twins can reduce maintenance costs by up to 30% and improve the energy performance of developments.

 

Document automation and blockchain in real estate

Bureaucracy has historically been one of the most significant bottlenecks in the real estate market, but AI has simplified processes that once took a long time. Today, it is already possible to automatically extract data from contracts, generate personalized proposals, validate documents more securely, and integrate digital signatures into management systems.

The next step is integration with blockchain and smart contracts, which could execute clauses automatically, reduce costs with intermediaries, and increase transparency in negotiations. Reports from The Business Research business highlight that AI and blockchain-based solutions are expected to gain relevance in industry investments over the coming years.

 

Property management and sustainability with AI

Beyond transactions, AI is revolutionizing property management. Integrated with IoT devices, the technology already allows real-time monitoring of building systems, predicting elevator failures, optimizing energy and water consumption, and generating compliance reports for investors and real estate funds.

In Brazil, this movement is directly connected to ESG criteria. Real estate businesses that implemented AI solutions for property management can achieve reduced operational costs and greater attractiveness to investors.

 

Challenges and opportunities

Despite the advances, adopting AI in the real estate market brings significant challenges. Issues such as data privacy, algorithmic biases in pricing models, and the risk of image manipulation are points of concern. In fact, in Australia, there are already discussions about legislation requiring real estate agencies to indicate when a listing has been digitally altered.

On the other hand, the opportunities are vast: greater efficiency, cost reduction, customer loyalty, and investor attraction consolidate artificial intelligence as an inevitable competitive advantage in the sector.

 

Conclusion

Artificial intelligence is no longer just a promise in the real estate sector; it is a reality in transformation. From customer service to property management, through pricing, document automation, and immersive experiences, AI is reshaping the market and redefining roles. Agents and managers are likely to assume more consultative and strategic functions, supported by real-time data and predictive analytics.

At ASM, we believe that artificial intelligence is one of the main forces driving business transformation, which is why we continue to provide insights into different sectors in our Artificial Intelligence in Practice series.

In our next article, we will explore how AI can accelerate the creation of tailored technological solutions, in the topic Artificial Intelligence in Practice: from the power of languages to custom software development.

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