News: AI-Led Feedback Reshapes Homes for Gen Z Buyers: Sattva-19-02-2026

Developers are redesigning projects around AI-analysed insights into how younger buyers live, Shivam Agarwal, vice president, strategic growth at Sattva Group, said in an interview.

Feedback sessions with young buyers showed they want flexibility, belonging and homes that adapt to them. In response, Sattva reworked floor plates for better ventilation, raised ceiling heights, enlarged balconies and made storage smarter. EV charging is now a baseline requirement, dedicated delivery spaces are built in, and app-based building management is standard because buyers expect to run their homes from their phones. Community planning has shifted towards interest-based clubs, open social spaces and curated experiences, and pet-friendly zones are part of common-area design.

Is AI changing decisions or just speeding them up?

Both, Agarwal said, but the larger change is in what gets built and where. Data on home searches, job growth, mobility and neighbourhood change makes decisions far better informed than five years ago, and locations once overlooked now attract attention. Feasibility studies that took 6 to 8 weeks can be done in a week. AI has sharpened Request for Proposal processes, improving alignment with contractors, and is used to test marketing themes before launch. Human instinct and experience remain central, he said: data opens the door, but people who know markets decide whether to walk through.

Unsold inventory

Tools that analyse incomes, commute patterns and emerging employment hubs let developers test unit mix and sizes before plans are fixed. Launching too many large homes where demand is moving to compact units is a mistake that price cuts alone cannot repair. AI offers a grounded view of demand before construction, he said, enhancing developer judgment without replacing it.

Buyer decisions

Virtual reality, augmented reality and digital twins let buyers experience an unbuilt home tangibly. AI platforms recommend homes from lifestyle signals, for example a 2BHK in Sarjapur for someone working in Whitefield who wants fitness amenities nearby and is ready to buy, which shortens decisions.

The next five years

Digital twins allow developers to simulate structural performance, seasonal light and how building systems respond to occupancy, so problems that once surfaced expensively mid-construction are solved at design stage. AI is accelerating contracts and procurement, cutting planning cycles by 20-30% and improving demand forecasting. Its strategic role is still evolving, and it adds most value when it strengthens experienced teams.