The role of AI in improving sustainable outcomes in real estate

How will the increasing adoption of AI affect sustainability in the real estate sector?

Reflecting on the rapid growth of this technology and the near future capabilities for real estate, Alexey Ershov, Chief Technology and Product Officer at BuildingMinds, outlines 10 use cases for AI tools to help manage building and portfolio energy efficiency and climate risk.

At BuildingMinds, AI already supports engineers in writing better code. On the commercial side, AI supports more rapid and accurate response to RFPs (requests for proposals). AI is also embedded into the company’s products, and assists with retrofit recommendations, data extraction from energy performance certificates, plausibility checks and anomaly detection.

New capabilities for AI in real estate are coming fast. AI will help industry professionals to make better trade-offs between carbon, budget, feasibility and timing for different retrofit options, and will enable future sustainability managers to interact with their data platforms using natural language. AI will also help property owners and investors make more informed decisions about climate risk vulnerability, adaptation planning, investment and divestment.