The Hidden Reason Your Real Estate Team Is Resisting AI (And How to Fix It)

The real estate industry is racing to adopt artificial intelligence. From automated lead follow-up to intelligent property matching, the promise of AI is undeniable. Yet, many brokerages and property management companies are finding that simply purchasing new software isn't enough. The real challenge isn't the technology itself — it's the people using it.

Recent research from the Wharton School highlights a startling reality: 31 percent of U.S. knowledge workers admit to actively working against their company's AI initiatives [1]. Even more concerning for the future workforce, 41 percent of Gen Z workers report the same resistance [1]. While 85 percent of leaders regularly use generative AI, only 51 percent of workers do [1].

This adoption gap is not a training deficit; it is a psychological one. When real estate professionals resist AI, they are often protecting their core psychological needs: competence, autonomy, and relatedness.

The Psychology of AI Resistance

For a seasoned real estate agent or a meticulous transaction coordinator, expertise is hard-won. When an AI system is introduced that can draft a listing description in seconds or summarize a complex contract instantly, it can feel like a threat to their professional identity. This threatens their sense of competence.

Similarly, when management mandates the use of a specific AI tool without input from the team, it threatens their autonomy. And when AI replaces collaborative tasks — like brainstorming marketing ideas with a colleague — it can erode the sense of relatedness and connection within the office.

As Alexis Krivkovich, a Senior Partner at McKinsey, recently noted, "The day-to-day workflows and the rituals around ways of working will need to fundamentally change" [2]. She emphasized that 75 percent of roles need fundamental reshaping right now, which naturally causes anxiety [2].

The AWARE Framework for Real Estate

To overcome this resistance, leaders must treat AI implementation as an organizational transition, not just a software rollout. The Wharton School researchers propose the AWARE framework to address the human side of AI integration [1]:

Acknowledge psychological impact: Don't pretend AI won't change things. Openly discuss how it might redefine expertise. Validate concerns about job security and the changing nature of collaboration.

Watch coping behaviors: Pay attention to how your team reacts. Are they experimenting and building skills, or are they withdrawing and avoiding AI tasks? Early intervention is key.

Align support systems: One-size-fits-all training doesn't work. Provide hands-on experimentation and role-specific learning. Let agents learn at their own pace to preserve their autonomy.

Redesign roles for complementarity: This is crucial. Don't just plug AI into existing workflows. Assign repetitive, data-heavy tasks to AI — like initial lead qualification or document sorting — and elevate human tasks that require judgment, empathy, and negotiation.

Empower through transparency and participation: Involve your team in identifying the best use cases for AI. When agents help shape the implementation, they become co-creators rather than reluctant adopters.

Building an Agentic Organization

The goal is to build what McKinsey calls an "agentic organization" [2]. This means moving beyond simple chatbots to deploying AI agents that can autonomously handle complex workflows.

Platforms like Oppy are designed with this human-AI complementarity in mind. By providing AI employees (Oppies) that handle the drudgery of scheduling, follow-ups, and data entry, human professionals are freed to focus on high-value, relationship-building activities.

As David Dickey, CTO of United Real Estate, recently discussed, the transformative role of AI lies in its practical applications for agents and the strategic adoption by brokers [3]. When implemented thoughtfully, AI doesn't replace the agent; it supercharges them.

The future of real estate belongs to teams that can successfully navigate the psychological transition of AI adoption. By addressing the human element first, brokerages can turn resistance into enthusiasm and unlock the true potential of agentic AI.

Sources:

[1] Hermann, E., Puntoni, S., & Morewedge, C. K. (2026, April). AI Adoption Is a Challenge. Here's a Solution. Wharton Executive Education.

[2] Krivkovich, A. (2026, April 2). AI is everywhere. The agentic organization isn't — yet. McKinsey & Company.

[3] HousingWire. (2026, March 30). United CTO David Dickey on AI adoption and strategies for brokers and agents.