GenAI in Indian Real Estate – What the numbers are telling us

I recently read the EY-Parthenon and CREDAI report on Generative AI in Indian Real Estate, released in June. It is a well-researched piece of work, and I found myself pausing on several findings, not because they were surprising, but because they put precise numbers to something many of us in the industry have been sensing for a while.

The central argument is one I agree with: GenAI is no longer a concept to be evaluated at some future point. It is already beginning to separate those who are moving with intent from those still in the assessment phase.

The macro numbers are significant. GenAI adoption could add USD 359 to 438 billion to India's GDP by 2029-30. For Indian real estate specifically, the sector's gross value-added impact over the next seven years is estimated at USD 14 to 17 billion. These are not marginal gains. They represent a meaningful shift in how the sector creates and captures value.

What stayed with me most, however, is not any individual statistic. It is the report's observation that Indian real estate has historically operated on fragmented data, non-standardised processes, and decisions that are mostly negotiated rather than data-informed. GenAI does not just improve processes within that model. It challenges the model itself. The transition from intuition-led to intelligence-led decision-making is a fundamental shift, and a significant ask for an industry where decades-old instincts have served people well.

The report also makes an important point about preconditions. Before scaling GenAI, organisations must clean their data, reset operating models, upskill teams and establish governance. Without these foundations, GenAI stays a lab experiment rather than a business advantage.

The financial logic, as the report notes, is straightforward. GenAI expands revenue, protects margin and lifts productivity. When the economics are this aligned, the question is not whether to adopt, it is how quickly and how well.

Indian real estate has navigated regulatory reform, the entry of institutional capital, and the shift to organised developers. GenAI is the next structural shift, and I believe its impact will be just as significant.

Worth reading the full report if you have not already.

Would love to hear your views.

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