How AI Is Set To Transform The UK Property Sector Between Now & 2030
A leading UK property expert has outlined how AI is set to transform the property sector over the next five years
Mishantha Liyanage, founder of the Mistoria Group, said the pace of change will dramatically accelerate over the next five years.
He said: “AI will revolutionise the property sector over the next five years by making transactions more efficient, enhancing decision-making, and optimising property management. It will drive automation across the industry, fundamentally changing how real estate professionals and consumers interact with properties.
Here, Mish outlines the four areas where he believes AI currently offers the most benefits.
“The first is in Automated Property Valuation.
AI-driven property valuation models are significantly improving accuracy and speed. Traditional methods rely on historical sales data, agent assessments, and market trends, but AI can analyse additional factors such as economic indicators, infrastructure developments, and even social sentiment to provide a more holistic valuation.”
“The second is around Smart Tenant Management and Leasing Automation
AI is revolutionizing tenant selection and property management by automating lease agreements, background checks, and credit assessments. AI-driven chatbots are also enhancing customer service by handling tenant inquiries, scheduling maintenance, and resolving complaints efficiently. In commercial real estate, AI-driven contract analysis helps optimize leasing terms and identify risks in legal documents.”
“Third, is AI-Driven Property Marketing and Sales
AI-powered platforms are enabling hyper-personalised property searches, where algorithms match potential buyers with properties based on their preferences, browsing behavior, and financial standing. Virtual tours, augmented reality (AR) property staging, and AI chatbots are creating immersive customer experiences, reducing the need for physical visits and expediting sales.”
“Four are the areas of fraud detection and risk mitigation. AI systems are helping detect fraudulent activities in real estate transactions by analyzing patterns in financial documents and buyer behavior. AI can flag potential fraud, such as money laundering or identity theft, reducing the risk of financial losses for buyers and investors.”
But Mishantha said all changes “should be approached with caution”. And he warned AI will only work if it was combined with effective management by human-led teams.
He said: “The biggest dangers we face is not effectively controlling the acceleration of AI will be around bias and fairness in tenant selection. If AI models are trained on biased data, they may inadvertently discriminate against certain demographics, leading to ethical and legal challenges. Data privacy and security concerns are key too. Robust cybersecurity measures must be in place to protect sensitive information from breaches and misuse.
It’s vital to be mindful of workforce impact and job displacement as well.
AI will inevitably automate certain roles within the property sector, such as administrative tasks and property management functions. However, new job opportunities will emerge in AI oversight, data analysis, and real estate technology development. We have to get the balance right.
Regulatory and compliance hurdles must be accounted for too.
Governments and regulatory bodies will need to establish AI governance frameworks to ensure ethical AI usage in real estate, including transparency in AI-driven pricing, tenant selection, and property transactions. It remains to be seen if this will be delivered. But it is vital that it is.
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