AI adoption in Indian real estate has moved past chatbots and virtual tours into land evaluation, construction planning and project monitoring, with GenAI projected to add $14-17 billion to the sector over seven years.
AI in Indian real estate used to mean a chatbot fielding buyer queries or a virtual walkthrough on a project website. That part was easy. The bigger shift now is playing out somewhere less visible, inside project offices, behind construction barricades, in calls about what to build, when, and whether a project is quietly drifting toward trouble before it shows up on site. Iesh Dixit, co-founder and CEO of Powerplay, put it plainly: "About 18 months ago, developers were asking us, 'What can AI do?' Today, the question is, 'How quickly can we roll this out on our next project?'"
India's real estate sector is currently valued at $650 billion, with IBEF projecting it could reach $5.8 trillion by 2047. A joint EY-Parthenon and CREDAI report estimates GenAI alone could add $14-17 billion to the sector's value over seven years. Developers embracing it could see 30-50% faster sales velocity, roughly 30% quicker launches, and 20-50% gains in workforce productivity. On land deals specifically, AI is cutting evaluation time nearly in half and letting developers assess 2.5 times more opportunities through automated feasibility modelling. Chaitanya Seth, Partner at EY-Parthenon India, called the stakes direct, "GenAI is fast becoming central to value creation and competitiveness, making inaction a growing strategic risk."
Real estate has always run on scattered information, drawings, contracts, site photos, spreadsheets, WhatsApp threads. Older software needed clean, structured data to be useful. What's different now, Dixit said, is that AI can work with the messy material teams already generate, without forcing new habits on anyone, which is exactly why adoption is holding rather than fading like past digitisation pushes often did.
Argenio Antao of Inkers Technologies said the industry's focus has moved firmly toward execution, predicting delays weeks out, scanning site photos for quality issues, forecasting cash-flow gaps before they bite. Inkers estimates AI trims manual reporting effort by 30-40%. Powerplay's biggest win has been in estimation, work that once took engineers days now takes hours, using models trained on data from over 85,000 projects. Developers say catching a single costly estimation error is often reason enough to justify the spend.
Premium projects are now marketing intelligence itself as a feature, biometric access, predictive maintenance, lifts that recognise residents. "AI is changing how homes are bought, and how they are lived in," said Amit Goyal, MD of India Sotheby's International Realty.
Executives say no. Deloitte's Vijay Gopalakrishnan called the fear a misconception, AI frees people from repetitive work rather than replacing them outright.
Antao pegs meaningful AI use at just 15-20% of organised developers today, with another 30-40% piloting it. Dixit expects the framing to fade within five years, calling it likely to "become like the internet," invisible, just how things get done.
As AI-enabled features shift from novelty to standard, Hommea sees this as worth watching alongside project delivery discipline itself, since predictive monitoring often separates a project that holds its timeline from one that doesn't.
