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

Exploring AI’s Impact on Real Estate Insights from Joann Visaretis
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By: PR Team Cloud Realty

Artificial intelligence has been transforming industries for a while now, but its impact on real estate is something that’s impossible to ignore. Joann Visaretis, a real estate expert with a focus on AI’s role in shaping the market, has been at the forefront of this shift. From how we buy and sell homes to the way properties are managed, AI is rapidly becoming the industry’s secret weapon. But what does that mean for the future of real estate, and how can we embrace it without losing the personal touch that buyers and sellers still expect?

For real estate investors, the power of AI is already proving invaluable. There’s so much data out there—property values, rental trends, market forecasts—and AI steps in to make sense of it all. In the past, gathering and analyzing that kind of information would take days, if not weeks. Now, AI algorithms are doing it in seconds. They scan massive datasets and pinpoint profitable investment opportunities that would otherwise be missed. As Joann puts it, “AI doesn’t just save time—it changes the entire strategy.” Investors can now optimize their portfolios with precision, making decisions that are not just faster but smarter.

AI’s influence doesn’t stop there. On the property management side, it’s completely changing how things get done. Managing properties used to be a grind—endless tenant screenings, maintenance requests, and energy management—but not anymore. AI platforms can automate all of these tasks. Whether it’s predicting when a furnace is about to break down or screening tenants with a click, AI is doing the heavy lifting, saving property managers time and money. And it’s not just about cost-cutting; it’s about efficiency. Maintenance gets handled before it becomes an expensive problem, and tenants are happier because things just work.

If you’re a real estate professional, the rise of AI might seem intimidating at first, but Joann emphasizes that embracing these tools is key to staying competitive. Take customer relationship management (CRM) platforms like HubSpot and Real Geeks, for example. These systems now use AI to recommend follow-ups with clients or suggest outreach strategies based on data-driven insights. In other words, AI helps agents focus on what they’re best at—building relationships with clients—while handling the tedious admin work behind the scenes.

Then there are AI-powered valuation tools, like Zillow’s Zestimate. We’ve all seen them, but they’re getting sharper every day. AI is now able to deliver more accurate property appraisals, thanks to the vast amounts of data it processes. And don’t forget the rise of chatbots and virtual assistants like Structurally and Ava, which are quickly becoming the norm for automating client inquiries. It’s a new era where clients can get answers at any time, day or night, without waiting on hold or sending a follow-up email.

AI is also making its presence felt in how buyers and sellers approach the market. In volatile times, having a sense of what’s coming can make all the difference. AI-driven predictive analytics helps buyers figure out when prices are likely to drop and gives sellers a better idea of when to list. More importantly, it can help both sides assess a neighborhood’s growth potential or calculate property appreciation. Joann points out that this level of insight is invaluable, especially when the market feels like it’s changing every five minutes. Buyers and sellers can now make decisions based on real-time data rather than gut feelings.

And what about the future of real estate transactions? According to Joann, AI is going to make the process faster and more streamlined than ever before. Already, we’re seeing AI help with paperwork, document verification, and even mortgage approvals. These processes used to be notorious for their delays and headaches, but AI is smoothing them out. And let’s not forget about the chatbots—AI-driven assistants that can field questions and offer property recommendations based on client preferences. They’re not just cutting down response times; they’re providing a level of personalization that can make the buying or selling process feel more tailored.

Still, there’s the question of balance. AI is great, but it’s no substitute for the human touch. Joann is clear on this: while AI can handle a lot of the heavy lifting, it’s still up to real estate professionals to bring empathy, storytelling, and local expertise into the mix. “AI might give you the data,” she says, “but only a human can truly understand what makes a home feel right.” Building trust with clients will always require that personal connection. No matter how advanced AI becomes, it won’t be able to sit down for a cup of coffee and talk through a buyer’s concerns about their next move.

Looking ahead, Joann sees AI continuing to drive greater efficiency, transparency, and personalization in real estate. Transactions will get even faster and more frictionless, while market predictions will become sharper. One of the more exciting possibilities is the role of AI-powered smart contracts and blockchain technology. These innovations could make real estate transactions more secure and transparent than ever before. But with all this tech on the horizon, Joann believes the role of real estate professionals will shift. Their value will lie less in managing paperwork and more in offering the kind of deep, relationship-based services that clients can’t get from a machine.

At the end of the day, AI is reshaping real estate in ways that seemed like science fiction not too long ago. But as Joann Visaretis explains, the future will belong to those who can balance the power of AI with the irreplaceable human connection that has always been at the heart of real estate. The key is knowing when to let AI do the work and when to step in and provide that personal touch, making sure that the future of real estate isn’t just more efficient—but more human too.

Published by: Josh Tatunay

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