Artificial intelligence isn’t just changing how we search for apartments — it’s reshaping how entire cities operate. In the real estate world, AI is doing everything from forecasting rent trends to optimizing property listings and screening tenants more efficiently. Nowhere is this more obvious than in dense, high-demand markets like Brooklyn, where even a small edge in speed or insight can mean the difference between a closed deal and a missed opportunity.
The Rise of AI in Real Estate
According to a 2024 McKinsey report, real estate firms increased AI adoption by 45% since 2020. Whether you’re managing 20 units or looking to buy your first home, the AI-driven tools now embedded across the industry affect how fast — and how successfully — deals come together.
Some fast facts:
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62% of apartment hunters now rely on AI-powered platforms or bots to assist with their search. (NAR 2023)
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Agencies using machine learning for pricing and performance analysis report a 25–35% faster closing time.
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AI-driven tenant screening reduces vacancy periods by up to 20% by accelerating qualified matches.
What This Means in Urban Markets Like Brooklyn
In cities like Brooklyn, where neighborhoods change fast and competition is tight, AI gives brokers and landlords real-time insights into demand trends, optimal pricing, and listing behavior.
At Torsx, a Brooklyn-based real estate agency focused on exclusive and co-exclusive rentals, AI plays a critical role.
“We’re not just reacting to market shifts — we’re anticipating them,” says Ilan Maslow, the agency’s co-founder. “AI helps us know which listings are likely to convert, what price points are moving this week, and how to market each unit for maximum exposure.”
How AI Tools Are Making a Difference
Here are some practical ways AI is changing how real estate is done — especially for brokers, property managers, and renters looking to navigate competitive urban markets.
1. Dynamic Pricing in Real Time
AI tracks hyperlocal data — foot traffic, lease rates, recent comps — and adjusts pricing recommendations accordingly. At Torsx, this enables real-time adjustments that keep landlords competitive without leaving money on the table.
Tip for Property Managers:
Set up AI-based pricing tools that track trends weekly, not monthly. Small adjustments based on local events, construction, or even school enrollment spikes can impact demand.
2. Smarter Tenant Screening
Using AI-driven screening tools helps evaluate rental applications for risk and reliability more objectively. These tools analyze income patterns, payment history, and rental timelines to score applicants fairly but accurately.
Tip for Brokers and Landlords:
Combine AI screening with a human touch. AI can flag potential red flags, but personal communication often reveals good-fit tenants who may not look perfect on paper.
3. Enhanced Listing Performance
AI algorithms optimize everything from image order to headline phrasing. At Torsx, these A/B-tested adjustments have increased listing engagement by over 30%.
Tip for Property Managers:
Update your listings frequently. Even just rearranging photos or adjusting copy can dramatically increase visibility on rental platforms.
4. Lead Prioritization
Instead of responding to every inquiry equally, AI helps score leads based on urgency, intent, and likelihood to convert. This allows agents to prioritize serious buyers or renters and reduce time lost on dead ends.
Tip for Buyers/Renters:
If you’re actively looking, be specific in your inquiries. AI tools at agencies flag users who are clear about their timeline, budget, and needs — making it more likely you’ll get a call back quickly.
The Future Is Hybrid: AI + Human Expertise
AI doesn’t replace real estate professionals — it empowers them. Buyers and renters still want someone they trust to walk them through paperwork, local insight, and negotiations. But the best agents today are tech-enabled, not tech-replaced.
Firms like Torsx are already using AI to give their clients a smarter, faster, and more customized experience. Whether you’re listing a multi-unit building or apartment hunting in Brooklyn, understanding how AI is working behind the scenes can help you move faster — and smarter — in today’s market.
