SKN | AI Can Accelerate Real Estate Marketing, but Verification Remains a Legal Responsibility

AI can produce listing copy and marketing materials quickly, but inaccurate property descriptions or altered images can create advertising and ethics exposure.

Agents remain responsible for verifying property facts, reviewing AI-generated content and protecting confidential customer and transaction information.

The economic value of AI therefore depends not only on productivity gains, but on whether those gains introduce additional legal and operational risk.

Artificial intelligence is increasingly embedded in real estate workflows, from listing descriptions and social media content to virtual staging, lead scoring, pricing suggestions and customer communications. The central issue is no longer whether agents use AI, but how much responsibility they delegate to systems that can generate plausible information without knowing whether it is true.

The Dominant Narrative: Faster Marketing Means Greater Efficiency

The appeal is straightforward. An agent can generate a listing description in seconds, produce marketing variations quickly and create visually polished property images without extensive manual work.

That efficiency can reduce the time required to prepare a listing and allow agents to produce more material with fewer resources. But speed does not change the underlying obligation to ensure that what reaches the public is accurate.

Real estate attorney Sarah Geltz, speaking at the Florida Real Estate Legal Summit, characterized the distinction clearly: “AI is fast. The truth is slower.”

The practical problem is that AI-generated errors can appear credible. In one example, an AI system described a two-bedroom condominium as having three bedrooms and a deeded boat slip. The agent published the description without checking it.

The resulting risk does not come from the technology itself. It comes from treating generated material as finished content rather than an unverified draft.

The Economic Breakdown: Productivity Has a Risk-Adjusted Cost

AI can reduce marketing labor costs, but the apparent savings need to be evaluated against the cost of correcting inaccurate information.

A false property feature can affect buyer expectations, create disputes and potentially expose an agent or brokerage to advertising and ethics complaints. The more consequential the information, the greater the potential cost of failing to verify it.

Virtual staging creates a similar problem. AI-generated modifications can extend beyond furniture and decoration. In the example presented by Geltz, the technology removed a wall, added a pool and concealed water damage and cracks.

At that point, the technology is no longer simply presenting the property differently. It is changing facts about the property.

The appropriate distinction is therefore between altering presentation and altering substance. Furniture can be digitally staged; physical characteristics should not be fabricated or concealed.

The Hidden Picture: Data Exposure Creates Another Liability Layer

The risks also extend beyond public-facing marketing.

Real estate transactions contain highly sensitive information, including identification documents, Social Security numbers, financial disclosures, wiring instructions, escrow information, contracts, inspection reports, appraisal reports and private customer communications.

Submitting that information to a public AI system can create a separate data-protection risk that has nothing to do with whether the resulting text or image is accurate.

The same principle applies to AI-powered brokerage chatbots. Geltz cited an example in which a chatbot incorrectly told a buyer that Florida contracts automatically include an appraisal contingency.

That illustrates another boundary: AI may assist with general information, but legal, financial and tax questions can require qualified human review.

The critical question is: if an AI system can produce convincing but inaccurate information faster than an agent can verify it, where exactly is the economic value of automation once the cost of oversight is included?