Women's Journal

AI’s Impact on Real Estate: Insights from Joann Visaretis

AI's Impact on Real Estate Insights from Joann Visaretis
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Artificial intelligence (AI) is transforming industries across the board, and real estate is no exception. Joann Visaretis, a subject matter expert on the intersection of AI and real estate, has witnessed firsthand the profound impact that AI-driven technologies are having on the market. From revolutionizing investment strategies to streamlining property management and enhancing client interactions, AI is changing how real estate professionals operate and buyers and sellers navigate the market.

For real estate investors, the role of AI is becoming indispensable. The sheer volume of data available today can be overwhelming, but AI-powered algorithms have stepped in to automate the collection and analysis of that data, making property valuations, rental trends, and market forecasts more accurate than ever before. Investors now have access to AI tools that sift through vast datasets to identify profitable opportunities, optimize portfolios, and streamline the due diligence process. This automation reduces the time and effort required and improves the accuracy of decision-making, allowing investors to stay ahead in a competitive market.

Visaretis emphasizes that AI also plays a transformative role in property management. The days of manually screening tenants or dealing with endless maintenance requests are being phased out in favor of AI-driven platforms that handle these tasks seamlessly. From tenant screening and predictive maintenance to energy optimization and rent collection, AI is helping property managers operate more efficiently and cost-effectively. For instance, AI can predict when a system is likely to fail, allowing property managers to address issues before they become costly repairs. In turn, this reduces operating expenses and enhances the overall tenant experience, making AI an invaluable tool in property management.

As real estate professionals seek to stay competitive in this evolving landscape, the adoption of AI tools is becoming essential. Customer relationship management (CRM) platforms like HubSpot and Real Geeks are leveraging AI to provide actionable insights into client behavior and automate follow-ups. These tools allow agents to focus on building meaningful relationships while AI handles the more administrative tasks. AI-powered property valuation tools, such as Zillow’s Zestimate and Reonomy, are improving the accuracy of appraisals, while chatbots and virtual assistants like Structurally and Ava are automating client interactions, providing quick and efficient responses to initial inquiries.

Visaretis points out that AI-driven insights are particularly beneficial in volatile markets. The ability of AI to analyze massive amounts of data in real time enables buyers and sellers to make smarter, more informed decisions. Predictive pricing models help buyers understand when property prices might dip or rise, and sellers can better time their listings. AI tools also help assess neighborhood growth potential, property appreciation, and risk factors, such as economic conditions, which are critical for long-term decision-making. In essence, AI provides buyers and sellers with a deeper understanding of market dynamics, reducing uncertainty and helping them make better-informed choices.

Looking toward the future, Visaretis sees AI streamlining real estate transactions even further. As more tasks become automated, paperwork will be processed faster, reducing the chances of human error and accelerating processes like document verification, mortgage approvals, and contract generation. AI-driven chatbots are already handling routine queries and providing 24/7 service to clients, but the future will also bring more personalized experiences. By analyzing client data, AI can offer tailored property recommendations and investment advice based on an individual’s preferences, behavior, and history. This level of personalization will redefine client interactions, making the home-buying or selling process more efficient while still maintaining a human element.

Visaretis stresses the importance of balancing AI’s efficiency with personal relationships, especially in an industry where trust and rapport are crucial. AI may handle the administrative heavy lifting, but it can never replace the empathy, storytelling, and local expertise that real estate professionals bring to the table. Maintaining the human touch in a digitalized world means using AI as a tool to free up time for deeper client engagement. Real estate professionals will need to ensure that key stages of transactions, whether in person or virtual, are personalized, fostering a sense of connection that AI cannot replicate.

Visaretis believes AI will continue to drive efficiency, transparency, and personalization in the real estate market in the coming years. Transactions will be faster and more streamlined, with less friction caused by manual processes or paperwork delays. Market predictions will become more precise, helping both investors and homebuyers make better data-driven decisions. AI-powered smart contracts and advanced technology may also emerge as key players, enabling secure, transparent, and automated transactions. As these advancements take shape, the role of real estate professionals is likely to evolve. Their value will increasingly lie in offering relationship-based services and advisory roles, helping clients navigate an AI-driven world with a personal touch.

In conclusion, Joann Visaretis sees AI as an indispensable ally in the real estate market, from investment strategies to property management and client interactions. While AI can enhance efficiency and accuracy, the future of real estate will depend on striking a balance between technological innovation and the human expertise that clients still crave. As AI continues to evolve, so too will the role of real estate professionals, who will need to adapt to these changes while maintaining the personal connections that define this industry.

 

Published by: Khy Talara

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