
AI is making its mark on the real estate industry, but most of its impact happens behind the scenes. Whether these changes help or hinder you as a buyer or seller depends on how your agent uses these tools — and how much you know about what’s happening in the background.
To clarify what’s actually different today, we spoke with Dave Carter, Vice President of Marketing at Lofty, a company that builds technology for real estate agents. Here’s what buyers and sellers should know about how AI is shaping today’s home deals — and where human expertise still matters.
Step 1: How Agents and Clients Connect
AI now plays a key role in connecting buyers and sellers with agents. Many platforms use algorithms to analyze online behavior — such as how long you spend browsing listings in a particular neighborhood or how frequently you revisit certain properties. Based on this data, AI systems alert agents when someone appears ready to buy or sell, sometimes prompting outreach before you’ve made direct contact.
The result: you may receive messages from agents you’ve never heard of because AI flagged you as a potential client. If this feels intrusive, ask how your information was obtained and whether you can opt out of further automated contact.
Step 2: Searching for Homes and Marketing Listings
AI-powered search tools allow buyers to describe what they want in plain language, with systems that learn and refine recommendations as you interact. For sellers, AI can generate property descriptions, schedule social media posts, and track engagement — all with minimal agent input.
Carter notes that these tools streamline the marketing workflow, freeing up agents’ time. However, AI-generated listings tend to make every property look flawless, making it harder for buyers to spot potential issues. It’s important not to rely solely on polished descriptions or photos. Ask questions during showings and pay attention to details that may not be highlighted online.
Step 3: Pricing and Negotiation
AI-driven pricing models now analyze thousands of recent sales and market trends to estimate a home’s likely sale price. Some platforms even recommend the optimal week to list for maximum exposure. For sellers, this means pricing can be more precise, reducing the risk of overpricing and long periods on the market.
However, automated pricing can miss factors that affect value, such as unusual layouts, noisy streets, or upcoming construction nearby. Carter points out that while AI can process data, it cannot explain why a home isn’t attracting offers. Always consult a human agent or appraiser for context before making final pricing decisions.
Step 4: Mortgage Pre-Approval
AI has sped up the mortgage pre-approval process, with some lenders now able to issue approvals in minutes. These systems can also review nontraditional income sources, such as gig work or freelance earnings, making it easier for some buyers to qualify.
Despite the speed, AI underwriting is not perfect. It may overlook nuances in complex financial situations that a human underwriter would recognize. If you have inconsistent income or unique financial circumstances, request a manual review before relying on an instant AI-generated pre-approval.
Step 5: Scheduling and Managing Offers
AI tools now automate appointment scheduling, send reminders, and track transaction deadlines. For agents managing multiple clients, this means fewer missed appointments and quicker responses.
The downside: if your agent relies too heavily on automation, communication can feel impersonal. If you notice that responses are generic or you’re interacting mainly with automated messages, ask for more direct contact to ensure your needs are understood.
Where AI Delivers
AI excels at handling repetitive tasks, analyzing large amounts of data, and accelerating routine processes. This reduces the time agents spend on administrative work, allowing them to focus more on client service — in theory.
But AI cannot replace human judgment or intuition. It doesn’t pick up on subtle cues during negotiations, spot hidden flaws during home tours, or understand the emotional stakes of buying or selling a home. Carter emphasizes that agents still need to build relationships and guide clients through complex decisions. The technology exists to assist, not replace, the human element.
Questions For Your Agent
If your agent uses AI-powered tools, clarify how they’re used and what remains in human hands:
– Which parts of the process are automated, and which do you handle personally?
– How is my data collected and used? Can I opt out of certain features or communications?
– If the AI tool makes a mistake — such as an inaccurate price estimate or missed deadline — who is responsible for correcting it?
– Will I be able to reach you directly, or will most communication come from automated systems?
The Takeaway
AI is reshaping the way agents do their jobs, which in turn changes your experience as a client. The most effective agents use AI to handle routine tasks so they can spend more time advising and communicating with you. On the other hand, agents who rely too much on automation risk losing the personal connection that’s often critical in real estate transactions.
As a buyer or seller, stay proactive. Ask your agent how AI is being used in your transaction, and insist on personal attention when it matters. Technology can streamline the process, but it can’t replace the value of an experienced human advocate.
About the Expert: Dave Carter is Vice President of Marketing at Lofty, a real estate technology platform that helps agents manage their businesses from search to settlement.
This article is based on information provided by the expert source cited above. It is intended for general informational purposes only and does not constitute legal, financial, or real estate advice. Readers should conduct their own research and consult qualified professionals before making any real estate or financial decisions.
