AI Revolutionizes Real Estate: Cutting Costs, Halving Timelines, and Benefiting Homebuyers
Artificial Intelligence (AI) is transforming the real estate sector by reducing construction costs, accelerating project timelines, and minimizing delays. Experts at Credai Natcon 2025 in Singapore highlight how these benefits can directly reach homebuyers, making housing more affordable and efficient.
Real Estate:Artificial Intelligence (AI) is emerging as a game-changer for real estate projects. It has the potential to reduce construction costs, shorten project timelines, and minimize delays and wastage, directly benefiting homebuyers. Boman Irani, chairman of Credai, told HT.com on the sidelines of CREDAI Natcon 2025, which is being held in Singapore.
“The use of Artificial Intelligence in real estate will transform the way projects are executed,” he said. “AI enables us to improve efficiency, cut costs, and accelerate timelines by reducing delays and wastage.”
He said that once AI engines are fully trained and widely adopted, the impact on construction economics will be significant. “Developers will be in a position to pass on these savings to homebuyers, ultimately bringing down property prices. This marks a fundamental shift where technology not only makes projects faster and more efficient but also makes housing more affordable.”
AI has the potential to cut construction costs by 20–25% and shorten construction timelines by 40–50% for high rises and minimize delays, thereby directly benefiting homebuyers, Jay Shah, founder of Kaizen AI, told HT.com
Industry leaders at the conference highlighted how AI-driven optimization is transforming the way real estate projects are planned and executed. By simulating multiple design scenarios, construction loadings, and excavation challenges, AI enables developers to pinpoint the most efficient project blueprint. This helps minimize delays, cut costs, and maximize usable space, critical factors in high-demand markets, they said.
“We took inputs like basic drawings, project plans, ran numerous iterations through AI, and we were able to get the design outcomes within seven days. In the process, we managed to maximize structural efficiency and maximize parking capacity,” Shah, whose company helps in enhancing the efficiency of large-scale real estate developments, said.
Shah explained that in one of the projects, they were able to optimize the real estate design to increase the carpet area of the apartments by over 1 lakh sq ft. In another luxury project, the Marriott Executive Apartments in Navi Mumbai, AI-driven optimization of planning and design helped reduce the construction timeline from five years to just three.
Shah cited an example of an ongoing project close to Mahalaxmi Race Course in Mumbai, a high-rise development with a scale of over 300 meters, which is also being developed by a listed developer. Typically, for a 150-meter building, the benchmark ratio of RERA carpet area to total construction area falls between 2.0 and 2.25. However, given the height and complexity of this project, optimization of design parameters was critical to balance feasibility, efficiency, and timelines.
In the first design option rendered by the AI, the project required 29.1 lakh sq. ft. of constructed area with a loading of 3.12, but involved excavating 18 meters of hard rock near the sea, adding nearly two years just to reach ground level. The second option, with 37% mechanical parking, reduced the area to 26.26 lakh sq. ft. and loading to 2.82, while cutting excavation to 10 meters, limiting delays to about one year, Shah said.
Shah pointed out that his company is currently working on a project in Navi Mumbai that is expected to be delivered within the next quarter. “Brownfield projects often remain stalled because there is no scope to expand, while Floor Space Index (FSI) norms may have changed since the project was first approved,” he explained.
“By applying AI-based optimization, we can reconfigure the design within existing constraints, making the development profitable for the developer by an average of 10% margin, while ensuring long-delayed homes are finally delivered to homebuyers,” he said.
The Confederation of Real Estate Developers’ Associations of India (CREDAI), representing private real estate developers, is hosting the 23rd edition of its flagship event, CREDAI NATCON 2025, in Singapore from September 11–13, 2025.
Frequently Asked Questions
How can AI reduce construction costs?
AI can reduce construction costs by optimizing design, minimizing waste, and improving efficiency in project execution. It can also identify cost-saving measures and streamline processes.
What is the potential impact of AI on project timelines?
AI has the potential to shorten construction timelines by 40–50%, especially for high-rise projects, by optimizing design and construction processes and reducing delays.
How does AI help in maximizing usable space?
AI-driven optimization can simulate multiple design scenarios to find the most efficient project blueprint, which helps in maximizing usable space and minimizing construction loadings.
What are the benefits of AI for homebuyers?
AI can benefit homebuyers by reducing property prices due to lower construction costs, accelerating project timelines, and ensuring the timely delivery of homes.
What is CREDAI Natcon 2025?
CREDAI Natcon 2025 is the 23rd edition of the flagship event hosted by the Confederation of Real Estate Developers’ Associations of India (CREDAI), held in Singapore from September 11–13, 2025, focusing on the latest trends and innovations in the real estate sector.