Ursino: Your awards don’t build trust and neither does your AI

What is the cost of removing the agent from the transaction? (Canva)

The views expressed in this column are solely those of the author.

There is a script most real estate registrants follow when they are trying to land a new client. Production volume. Industry awards. Years in the business. Market share rankings. The logic is sound on its face: demonstrate enough social proof and the client will feel confident handing over the listing.

It does not work the way agents think it does.

After 20 years inside Ontario brokerages and a few days at RealtorQuest 2026 reflecting on where this industry is heading, the gap between what agents lead with and what clients actually need has never looked wider. The agent walking into a listing presentation armed with a laminated award sheet and a five-year production chart is doing exactly the wrong thing. They are performing. The client is asking something simpler: can I trust you with this?

Performance and trust are not the same variable. They are barely correlated at all.

Consider the pharmaceutical industry. It has produced more life-saving treatments in the last three decades than in all prior history combined. It is also one of the least trusted industries in North America. High performance, collapsed trust. The gap between the two is not an anomaly. It is the rule. The organizations that build lasting trust are not the ones with the best metrics. They are the ones who communicate a shared language of values.

The clearest historical example of this is the U.S. Marine Corps before the Second World War. They were the smallest, least funded and least trusted branch of the American military. They emerged from that war as the most trusted — not because they outperformed other branches on every battlefield metric, but because they communicated a set of values so consistently and so authentically that the public knew what a Marine stood for before they ever met one. The trust came from character, not credentials.

Most real estate registrants are still leading with credentials. Awards, production rankings, years in the business. These are the spec sheets. They are not the story.

The Toyota mistake, now available with a monthly subscription

In 2009, Toyota faced a viral crisis around unintended vehicle acceleration. Its initial response was to send engineers to explain, rationally and accurately, that the cars were not at fault. The public did not want an engineering briefing. They wanted to feel heard. The crisis only resolved when Toyota instructed its teams to stop explaining and start listening — to switch from the language of performance to the language of empathy.

The real estate industry is now deploying AI in a way that industrializes the Toyota mistake. AI-powered voice agents calling potential leads. Automated follow-up systems simulating a conversation. Chatbots designed to qualify buyers before a human ever enters the picture. The logic is efficiency. The experience, from the other end of the phone, is a call centre. The last thing a person considering the largest financial decision of their life wants is 90 seconds of uncertainty about whether they are talking to a human being.

This is AI pointed directly at the part of the business it cannot do. Trust requires a human in the room. Automating the moment of first contact is not a productivity gain. It is a trust deficit delivered at scale.

Where AI actually belongs

The right application of AI in a real estate practice is the inverse of that. Not replacing human contact, but creating the conditions for more of it.

Content is the clearest example. Original, authentic content — a registrant’s own voice, their own perspective on the market, their own human story — is one of the most effective ways to build the kind of ambient trust that eventually generates a lead. AI has a legitimate and useful role in that process: researching, drafting, editing, post-production. But the voice has to be real. A content strategy built on AI-generated commentary that sounds like no particular human being is not building trust. It is producing noise.

The same principle runs through the rest of the practice. AI handling FINTRAC documentation workflows, comparative market analysis research, showing-feedback summaries, disclosure drafts, the 40-odd administrative tasks that consume the back half of every working day — that is the correct deployment. Every hour AI returns from the back office is an hour returned to the only work clients are actually paying for. A human being, fully present, properly prepared and capable of being in the room.

The goal is for clients to never see the AI. The goal is for clients to notice that their agent always has time for them.

The compliance dimension managing brokers cannot skip

There is a supervision layer to this that the technology conversation consistently bypasses. Every AI-generated output a registrant produces is the registrant’s legal work product, and by extension the brokerage’s. An AI-drafted comparative market analysis that contains a fabricated comparable is a pricing misrepresentation. An AI-enhanced listing photo that adds a feature the property does not have is a disclosure obligation under the Trust in Real Estate Services Act in Ontario and is now actively on regulator’s radars.

The risk compounds when volume increases. A registrant using AI to produce more client-facing output faster is also producing more potential errors faster. The registrant who cannot audit the output because they lack the underlying market knowledge is not more productive. They are more exposed. Brokerages carrying large registrant pools already have monitoring challenges. Adding high-volume AI-generated work product without a corresponding investment in registrant competence is how a compliance department goes from stretched to overwhelmed.

What registrants, brokerages and educators should do now

For registrants: Audit every client-facing touchpoint in the practice. Anywhere AI is replacing a human moment, the trust equation is working against you. Anywhere AI is handling the administrative load that keeps you from being present with clients, it is earning its subscription. The pitch to a new client is not a production report. It is a conversation. Speak to people, not at them, and show up prepared to give them your full attention.

For brokerages: The AI policy question is not whether to permit it. It is which applications are permitted and which are not. Voice agents calling leads, automated first-contact systems and AI-generated client communications that carry a registrant’s name without a registrant’s review are not productivity tools. They are liability tools. Write the policy before the first RECO complaint forces the conversation.

For associations and educators: AI cannot provide character, belonging or the specific human quality that makes a person feel, in the middle of the worst financial stress of their life, that they are not alone. The curriculum that prepares registrants for that reality does not start with AI adoption. It starts with the capacity to build trust in a room. Tools come after. The order matters.

The reframe

The industry has spent 18 months asking whether agents should use AI. The more useful question is what agents are going to do with the time it frees up.

Trust is not a credential. It is not a production number, an award designation or an AI-generated follow-up sequence. It is what happens when a person feels the human across from them is genuinely present, genuinely prepared and genuinely invested in what comes next for them.

That is not a soft skill. That is the whole business.

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