SKN | AI Adoption in Real Estate Leaves Agents Responsible for Accuracy and Data Security

AI can accelerate real estate tasks such as summarizing documents and producing marketing materials, but agents remain responsible for verifying the final work. Uploading contracts, inspection reports, or personally identifiable information to consumer AI tools can create privacy and accuracy risks that agents must evaluate before using them. AI-generated communications involving money, urgency, changed instructions, or deadlines require independent verification because increasingly convincing voice and message-generation technology can facilitate fraud.

Artificial intelligence is becoming part of everyday real estate workflows, but its expanding role does not transfer professional responsibility from the agent to the technology. During the 2026 Florida Realtors Convention & Trade Expo, AI expert Kevin Hawkins emphasized that agents remain accountable for what they produce and deliver to clients, regardless of whether AI was involved.

That distinction becomes increasingly important as agents use AI for contracts, reports, marketing, communications, and other tasks where an inaccurate output can have financial or professional consequences.

The Public Assumption

The growing assumption is that AI can reduce the amount of human review required because modern systems can produce polished text and summaries in seconds. But a professional-looking response is not necessarily an accurate one.

Hawkins argues that agents should remain the “human in the middle,” meaning they must select appropriate tools, protect client information, evaluate the output, and personally verify the final result.

The issue is particularly relevant in real estate because documents frequently contain sensitive information and errors can affect negotiations, transactions, or client decisions.

The Economic Breakdown

AI products differ in how they handle business information. Hawkins distinguishes between free tools, paid consumer products, and business-grade systems, with different levels of functionality and data protection.

Uploading a purchase and sale agreement to a free AI service, for example, can expose personally identifiable information depending on the service’s terms and data practices. The system could also misinterpret provisions or introduce information that was not contained in the original document.

Inspection reports present a similar risk. An AI system could summarize the document incorrectly or incorporate details from other material that do not actually apply to the property being evaluated.

Business-grade systems may provide stronger controls and generally offer policies that limit the use of business information for model training, according to Hawkins. However, no technology eliminates all security risks. Decisions about what information to upload should therefore reflect the agent’s business practices and applicable professional or legal guidance.

The same principle applies to output quality. AI systems can produce errors even after delivering accurate results repeatedly. Hawkins described encountering a report containing numerous mistakes after months of reliable performance, ultimately requiring him to complete the work manually.

The Hidden Picture

AI also introduces a new form of professional quality control. Instead of treating the first response as a finished product, agents can improve results by providing additional context, correcting mistakes, and supplying examples of previous work.

Agents can give AI tools examples of emails, newsletters, customer communications, market reports, and website content to help establish a consistent writing style. They can also specify terminology and phrasing they prefer or avoid.

But personalization does not eliminate verification. Hawkins recommends comparing important AI-generated material against the original source and, where appropriate, using another AI system to identify errors in the first output.

Visual content requires similar scrutiny because AI-generated or modified images can unintentionally alter faces or other important details.

The security issue extends beyond documents. AI-generated voices and increasingly convincing communications can make fraudulent requests more difficult to identify. Hawkins specifically warns that unexpected requests involving money and urgency should trigger an independent verification process.

Instead of using a phone number or link contained in an unexpected message, an agent can contact the title company, escrow agent, or other relevant party using previously verified contact information.

Closing

As AI becomes more deeply embedded in real estate operations, the critical question is not how much work an agent can delegate to a machine, but how much verification is necessary before an AI-generated result becomes information a client can safely rely on.