Agents Want More (and Better) AI Tools — and More Training

Why It Matters

The confidence gap limits AI’s potential to transform higher‑value activities in real‑estate, affecting productivity, risk management and brokerage competitiveness.

Key Takeaways

• 82% of agents actively using AI tools
• Agents save at least one hour weekly with AI
• Only 48% feel confident using AI for client-facing tasks
• Accuracy and compliance are top concerns for agents
• Brokers need training programs to boost AI confidence

Pulse Analysis

AI adoption in residential real‑estate has moved from novelty to routine, with the latest survey indicating that a striking 82% of agents incorporate generative tools into daily workflows. The primary draw is productivity: agents report shaving an hour—or even four hours—off weekly tasks such as writing property descriptions, crafting marketing copy, and managing social media. This time savings translates into faster lead response, higher listing turnover, and the ability to allocate more resources to client relationship building, positioning AI as a catalyst for scaling boutique operations and large brokerages alike.

However, the enthusiasm is tempered by a pronounced confidence gap. While agents readily automate low‑risk content creation, only about half trust AI outputs for client‑facing communications or strategic decisions. Concerns center on factual accuracy, compliance with fair‑housing regulations, and the potential for mis‑interpreting market data—issues that can expose agents and brokerages to legal liability and reputational damage. This hesitancy curtails AI’s reach into high‑stakes functions such as pricing models, comparative market analyses, and risk‑adjusted recommendations, leaving a sizable productivity upside untapped.

The path forward hinges on two complementary strategies. Technology vendors must refine model reliability, embed compliance safeguards, and offer transparent audit trails to reassure users. Simultaneously, brokerages should institutionalize AI literacy through video tutorials, hands‑on workshops, and clear usage guidelines that delineate acceptable risk thresholds. By aligning robust tools with structured training, firms can elevate agent confidence, mitigate liability, and fully leverage AI’s capacity to drive revenue growth and market differentiation in an increasingly digital real‑estate landscape.