AI to Cut Home Construction Costs: Up to 30% Price Drop Possible
"Onedio: Real estate advisor Burak Ustaoğlu stated that growing AI adoption will reduce construction costs, potentially lowering housing prices by 20-30% for citizens."
AI to Cut Home Construction Costs: Up to 30% Price Drop Possible
Artificial intelligence, which is increasingly being adopted across virtually every sector, is expected to significantly reduce home construction costs in the real estate industry. Real estate investment advisor and software engineer Burak Ustaoğlu stated that as AI adoption grows, construction costs will fall — and that this could translate into a 20 to 30 percent decline in housing prices for citizens. Meanwhile, Turkey's Ministry of Environment, Urbanization and Climate Change is working on a Value Information Center application that will make nationwide property market values publicly accessible.
Firms Are Already Achieving 37% Savings With AI
Ustaoğlu noted that Woven is already using AI-powered real estate valuation systems in its Dubai projects and has begun integrating this technology into Turkish projects as well. Highlighting AI's critical advantages for both reducing construction firm costs and helping citizens make the right investments in the right projects, he stated: "Firms can achieve 37% savings today simply by using AI technologies — leveraging AI at the production stage to select the right location, project concept, and design."
Growing AI Use Could Bring Housing Prices Down
Noting that AI technology has made a significant contribution to landmark real estate projects in Dubai, Ustaoğlu acknowledged that Turkey is still in the early stages of this transformation. Underlining that AI-driven cost reductions in construction will directly benefit citizens, he shared: "This enables citizens to access properties at 20–30% lower prices. As construction developers make more intensive use of AI technologies, our citizens will be able to own apartments at significantly more affordable prices."
AI Identified Sapanca as the Best Region for the Project
Ustaoğlu also described how they designed a concrete project in Turkey by building a large data pool from internet search engines, official sources, and social media trends: "We asked the AI: 'We want to propose a project for our investor groups from Gulf countries — can you give us the right location?' It identified Sapanca as receiving very high demand and suggested that projects developed in this region could represent a strong opportunity — even presenting available listings in the area. It then immediately recommended an Italian Tuscany-inspired concept for the development."
Source: Onedio – Read the Full Article