Is AI the estate agent’s servant or their master?

# The central question Trevor Abrahmsohn examines whether artificial intelligence will become estate agents' tool or their replacement. He accepts that AI will transform residential estate agency and that some functions will be cheaper and more efficient to automate. At the same time, he points to practical, human-centred elements of agency work that remain hard to digitise.

# Where AI fits in AI and algorithms can handle repetitive tasks currently performed by large property portals and back-office functions. They can process listings, analyse transaction histories and identify patterns in negotiations. For routine marketing and data-driven matching, a computer can operate continuously and at lower cost than a human team.

# The irreplaceable human elements Residential estate agency involves people whose preferences are often irrational and only reveal themselves in person. Abrahmsohn gives a concrete example: a buyer who insists on specific features before viewing a home, then changes course after seeing a property and falling in love with it. That kind of in-the-moment, affective response has no straightforward algorithmic equivalent.

Agents earn their fees by watching and interpreting behaviour rather than merely transmitting information. Small cues—which room a client lingers in, what they comment on casually, who in the couple lights up about a particular feature—guide an experienced agent's decisions about which properties to show next and how to frame conversations.

# Negotiation remains an analogue contest Negotiation, Abrahmsohn writes, is a human contest of toughness and psychology. Sellers and buyers often hold contradictory publicly stated valuations while privately wanting the deal to happen. The agent's role is to manage perceptions, persuade both sides that a compromise is acceptable, and choose when to push or retreat. He says the best negotiators possess an instinctive sense—what used to be called instinct or a sixth sense—and the discipline to act at the right moment.

AI will get better at analysing past negotiation data and calculating probabilities, but pattern recognition alone does not automatically translate into the timing, silence or rhetorical moves that make deals close. Abrahmsohn cites Glentree's sales team as an example of practitioners who have developed homespun negotiating methods through experience.

# Practical implications for agents and firms Agents should expect AI to absorb many transactional and analytical tasks. That creates pressure on business models built around large teams and manual processes. Yet the continuing prevalence of agent use—Abrahmsohn notes that 97% of people moving home still use estate agents—signals demand for human skills that AI has yet to replicate.

Practically, firms that combine automated efficiency with skilled, observant agents who can interpret clients and negotiate effectively are likely to retain advantage. AI can support agents by surfacing data and likely outcomes, while humans handle the analogue aspects of persuasion, trust and emotional judgement.

# Bottom line AI will reshape the mechanics of estate agency and make some roles redundant, particularly where work is repetitive and data-driven. However, the parts of the job rooted in unpredictable human behaviour and the art of negotiation remain resistant to full automation. Agents who emphasise client observation, psychological acumen and timing can preserve the value they bring as the technology advances.