Agentic AI is Coming for Real Estate

Agentic AI is coming for real estate. Here’s what it means for your role.

2026 was expected to be the year of Agentic AI, with conversations shifting from infrastructure investments and LLMs to the operating, agentic layer. Following this closely through my work with Zinnov, McKinsey & Company has now shed some light specifically on the real estate industry.

They clustered real estate roles into

people-centric,
agent-centric,
robot-centric, and
combinations of all three.

But the framing of "automate steps, protect thoughts" is the key mental model here.

Routine handoffs, status chasing, document coordination? All candidates for automation.

Judgment, negotiation, tenant relationships? Those stay human.


So more clarity, less friction, and faster decisions across the entire asset lifecycle. Makes sense.

Why I think Corporate Real Estate might be ahead of the curve?

CREM teams already operate across the full lifecycle, from strategy and planning, through design and construction, to transactions and ongoing operations. That breadth means they're already managing the exact cross-functional complexity that agentic AI is designed to streamline.

And here’s the part that often gets missed: the core business they support is also being disrupted!

Which means CREM teams sit inside organisations that are likely far more tech-savvy and AI-forward than a typical real estate company. That’s a real structural advantage, both in interest and in access to tools.



CoreNet Global

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