AI Risk Is Rising in Real Estate Brokerages: What Agents Should Do Now

Real estate brokerage leaders are getting more nervous about artificial intelligence again. A new Delta Media Real Estate AI Leadership Survey analysis puts their average “worry score” at 6.38 out of 10 in 2026, up from 5.80 in 2025 and close to 6.50 in 2024.

The important shift is not that agents suddenly discovered chatbots. It is that brokerages are beginning to consider “agentic” AI: systems that can take actions, automate workflows, and interact with multiple business tools.

That changes the question from “Can AI write a listing description?” to “Who is responsible when AI sends the wrong message, mishandles a client’s data, or makes a compliance-sensitive decision?”

For individual agents, this is not a reason to freeze AI adoption. It is a reason to keep the first wave of automation narrow, visible, and easy to undo.

What the survey says—and what it does not

The survey included more than 100 brokerage leaders annually from 2024 through 2026. The percentage assigning AI a high worry score of 8, 9, or 10 rose from 33.7% in 2025 to 37.9% in 2026.

The analysis also found different concerns by brokerage size:

• Firms with 20 or fewer agents were especially focused on regulatory compliance. Seventy-five percent identified it as a concern.
• Firms with 101 or more agents emphasized data privacy, system integration, cost and return on investment, and staff training.
• Female respondents more often cited compliance and privacy concerns, while male respondents more often cited cost and ROI uncertainty.

These findings describe leadership concerns; they do not prove that agentic AI caused the rebound. They also do not show that AI has increased complaints, errors, or transaction costs. Treat the survey as a warning about implementation risk, not as evidence that every AI tool is unsafe.

The practical meaning for agents

Most agents do not need an enterprise AI strategy this week. They do need to know where their current tools already use automation.

A typical agent may have AI or automated features in several places:

| Tool category | Typical use | Known price context | Main risk | |---|---|---:|---| | General AI assistant, such as ChatGPT Plus | Drafting, brainstorming, summarizing notes | ChatGPT Plus is listed at $20/month in the U.S.; usage limits can vary | Copying private client or transaction data into the wrong workspace | | General AI assistant, such as Claude Pro | Writing, document analysis, research support | Claude Pro is listed at $20/month in the U.S.; usage capacity is limited | Treating generated text as legally or factually reliable | | CRM and transaction-platform automation | Lead routing, reminders, follow-up, data entry | Often bundled with a brokerage or software subscription | Incorrect records, missed handoffs, or unauthorized messages | | AI marketing and content platforms | Listing copy, social posts, email campaigns | Pricing varies widely by vendor and seat | Fair housing, accuracy, attribution, and brand-control problems |

The cost of a basic individual AI assistant may be only $240 per year before tax. The larger expense is usually not the subscription. It is review time, staff training, integration work, and the cost of fixing an automated mistake.

For a small team, one hour spent reviewing an automated workflow can be more expensive than the software itself. For a large brokerage, connecting AI to the CRM, transaction system, email, and document storage can create a much bigger security and governance project.

Start with low-risk, high-review workflows

The safest early uses are tasks where AI produces a draft and a human makes the final decision.

Good candidates include:

• Turning your own rough notes into a first draft of a client update
• Creating alternate versions of an approved marketing message
• Summarizing a meeting for internal use
• Building a checklist for a routine process
• Suggesting questions to ask a buyer, seller, lender, or inspector

Keep a human review step for anything involving property facts, deadlines, financial guidance, legal language, client eligibility, or advertising claims. AI can make an ordinary mistake sound polished, which makes review more important—not less.

Avoid giving an AI system permission to send messages, change CRM records, approve documents, or make lead-priority decisions until you understand exactly what it can access and what audit trail it keeps.

The compliance issue is bigger than bad writing

A flawed listing description is inconvenient. An automated statement about protected classes, neighborhood characteristics, financing, or property condition can create a much more serious problem.

Before using AI in production, ask:

• What client, lead, or transaction data does the system store?
• Is that data used to train the provider’s models?
• Can the brokerage administrator remove access when an agent leaves?
• Does the system maintain logs showing what it changed or sent?
• Can a human approve every external message?
• Does the vendor explain its security practices and breach-notification process?
• Is there a written policy for fair housing and confidential information?

If your brokerage has no AI policy, ask for one. A short policy covering approved tools, prohibited data, review requirements, and incident reporting is more useful than a vague instruction to “use AI responsibly.”

Who should care—and who can wait?

You should pay close attention if you:

• Manage a team or brokerage
• Use multiple CRMs, transaction systems, or lead sources
• Have AI connected to email, texting, or client databases
• Handle high volumes of leads
• Work with sensitive financial or personal information
• Are considering an autonomous lead-follow-up system

You can reasonably wait if you are using AI only as a private drafting assistant, entering no confidential information, and reviewing every output yourself. There is no business prize for adding automation before you know what problem it solves.

The first financial test should be simple: how many hours does the tool save, and what is the value of those hours? A $20 monthly subscription that saves 30 minutes of repetitive work may be worthwhile. A much more expensive system that creates another inbox, requires constant correction, or produces unqualified leads may not be.

The bottom line

The survey’s message is less “stop using AI” than “stop treating AI as interchangeable software.”

For agents, the sensible next move is an audit. List every AI-enabled feature you already use, identify what data it can see, and separate drafting tools from systems that can take action. Turn off unnecessary permissions, keep approval gates in place, and test one workflow at a time.

AI can still save time in a real estate business. But as tools move from generating suggestions to acting on behalf of agents, accountability stays with the humans and brokerages that deploy them.

Skip this if: you are looking for a reason to buy an autonomous AI system immediately. The survey supports a more careful rollout, not an urgent software purchase.