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Most real estate businesses ‘structurally unprepared for AI’, report finds

Mark Helprin by Mark Helprin
March 10, 2026
in Real Estate
Most real estate businesses ‘structurally unprepared for AI’, report finds
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Most real estate businesses are structurally unprepared for AI, according to research from the UK PropTech Association unveiled at Mipim this week.

Only 7% of respondents to the 2026 AI in Real Estate Survey, conducted in association with Remit Consulting and digital strategist Anthony Slumbers, said AI was fully integrated into their business, despite 93% saying their organisation now provides access to an AI service.

While 30% of respondents reported having a comprehensive AI policy, 16% have no policy and no plans to create one, and 29% said there was no organised group overseeing AI within their business

The survey suggests AI is being used primarily for operational tasks such as transcription, summarisation, drafting and research, with 87% of respondents saying they want AI to take on administrative and repetitive work.

Respondents expect automation levels to rise materially within a year, with the proportion of teams automating 25% to 50% of tasks set to nearly double.

Respondents’ trust in AI dropped sharply for higher-judgement tasks, with only 16% willing to trust AI to estimate rental value.

Despite this cautious approach, 78% said their work would change to some degree if AI access were removed tomorrow and more than half estimated that they saved over 10 hours per month through AI-enabled efficiencies.

Some 58% believed the traditional time-based fee model is the element of commercial real estate most at risk from AI automation. Only 6% believed client relationships alone will protect existing fee structures.

Remit Consulting partner Andrew Waller said the report’s findings highlight a widening gap between AI experimentation and execution.

“Real estate businesses have moved quickly to provide access to AI tools, but far fewer have embedded them into formal processes,” he said. “The challenge now is organisational. It is about data quality, governance and leadership clarity. Without that, AI remains a productivity aid, rather than a source of structural advantage.”

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