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A brokerage leader argues that while AI enhances workflows for experienced real estate agents, it's simultaneously degrading new agent quality by automating away support roles (transaction coordinators, admins, marketing staff) that traditionally served as training grounds. The industry is celebrating efficiency gains while overlooking the second-order effect: the loss of mentorship and skill-building infrastructure that junior agents relied upon.
A Michigan brokerage leader presents a nuanced take on AI adoption in real estate, arguing that automation of support roles eliminates the informal training pipeline for new agents. Rather than a straightforward efficiency win, the post frames AI as creating a structural gap in agent development and industry sustainability.
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