What is the cost of removing the agent from the transaction? (Canva)
The views expressed in this column are solely those of the author.
When real estate professionals try to win new clients they often follow a familiar script: showcase production volume, industry awards, years of experience and market share rankings. On paper it seems sensible—provide social proof and clients will feel confident entrusting you with a listing.
In practice, that approach misses the mark.
After two decades inside Ontario brokerages and fresh conversations at RealtorQuest 2026 about the future of the industry, the gap between what agents lead with and what clients actually need is wider than ever. An agent who arrives at a listing presentation with a laminated award sheet and a five-year production chart is performing for the wrong audience. Prospective clients are asking something simpler and deeper: can I trust you with this?
Performance metrics and trust are different measures. High numbers do not automatically create confidence.
Look at the pharmaceutical industry: it produced more life-saving treatments in the last few decades than in all prior history, yet remains among the least trusted industries. High performance and low trust aren’t anomalies; they’re common. Long-term trust grows from a consistent, authentic communication of values, not just superior metrics.
A clear historical example is the U.S. Marine Corps before World War II. It was once the smallest and least funded branch of the U.S. military, but it left the war as the most trusted. That shift wasn’t the result of superior battlefield statistics alone; it was due to a consistent expression of character and values that made the public understand what a Marine stood for before meeting one. Trust came from character, not credentials.
Most real estate registrants still lead with credentials: awards, production stats and years in the business. Those are spec sheets, not stories.
The Toyota mistake, now available with a monthly subscription
In 2009 Toyota faced a crisis over unintended vehicle acceleration. The company initially responded with engineering explanations demonstrating that the cars were not at fault. The public didn’t want technical briefings; people wanted to feel heard. The crisis only began to resolve when Toyota shifted from explaining to listening—moving from the language of performance to the language of empathy.
Today’s real estate industry risks repeating that mistake at scale by deploying AI in ways that automate the human moments where trust is created. AI-powered voice agents calling leads, automated follow-up systems simulating conversation and chatbots qualifying buyers before any human appears may improve efficiency, but they often feel like a call centre. For someone facing the largest financial decision of their life, the last thing they want is uncertainty about whether they are speaking with a human.
Trust requires a human in the room. Automating first contact is not a productivity win; it is a trust deficit delivered at scale.
Where AI actually belongs
Correctly applied, AI should increase the opportunities for meaningful human contact rather than replace it.
Content illustrates this well. Original, authentic content—an agent’s own voice, perspective on the market and personal story—builds the ambient trust that generates leads. AI can assist legitimately by researching, drafting, editing and helping with post-production, but the voice must remain recognizably human. Relying on AI-generated commentary that lacks a distinct human perspective creates noise, not trust.
The same logic applies to back-office work. AI is well suited to processing FINTRAC documentation workflows, researching comparative market analyses, summarizing showing feedback, drafting disclosures and handling dozens of administrative tasks that fill the back half of the day. Those are the correct deployments. Every hour AI returns to the agent is an hour the agent can spend with clients—fully present, prepared and capable of building trust.
The objective should be that clients never see the AI directly. Instead, they should simply notice that their agent always seems to have the time and attention they need.
The compliance dimension managing brokers cannot skip
There is an essential supervision layer that technology discussions often overlook. Any AI-generated output a registrant uses is legally the registrant’s work product and, by extension, the brokerage’s responsibility. An AI-drafted comparative market analysis that includes a fabricated comparable becomes a pricing misrepresentation. An AI-enhanced listing photo that adds features a property does not have triggers disclosure obligations under Ontario’s Trust in Real Estate Services Act and has drawn regulatory attention.
Risks grow as volume increases. A registrant using AI to produce more client-facing materials faster also produces more potential errors faster. If a registrant lacks the market knowledge to audit AI output, they aren’t more productive—they’re more exposed. Brokerages that already struggle to monitor many registrants will be overwhelmed if AI-generated work multiplies without parallel investment in registrant competence and oversight.
What registrants, brokerages and educators should do now
For registrants: Review every client-facing touchpoint. Where AI replaces a human moment, trust is at risk. Where AI handles administrative tasks that free you to be present with clients, it earns its place. Your pitch to a new client should not be a production report; it should be a conversation. Speak with people, not at them, and come prepared to give your full attention.
For brokerages: The question isn’t whether to allow AI but which applications are acceptable. Voice agents calling leads, automated first-contact systems and AI-generated client messages signed with an agent’s name without their review are liability, not productivity, tools. Establish clear policies before complaints force the issue.
For associations and educators: AI cannot supply character, belonging or the human presence that reassures someone under financial stress. Training should start with the skills needed to build trust in person; tools come afterward. The sequence matters.
The reframe
For the past 18 months the industry has debated whether agents should use AI. A more constructive question is what agents will do with the time AI frees up.
Trust is not a credential. It is not a production number, an award or an AI-generated follow-up. Trust is what happens when a person feels the person across from them is genuinely present, prepared and invested in what comes next for them.
This is not a soft skill. It is the entire business.