Artificial Intelligence and Real Estate: toward more advanced decision-making models

24 Feb 2026

Artificial intelligence is increasingly entering the Real Estate sector in a structured way, transforming how data are analysed, values are estimated and investment decisions are supported

Today the market no longer settles for a static snapshot of assets. It requires predictive tools, advanced risk analysis, simulations of regulatory and energy impacts, and a growing integration between ESG performance and financial returns. In this context, artificial intelligence does not replace professionals but strengthens their analytical and interpretative capabilities.

The large-scale analysis of comparables, the identification of patterns that are not immediately visible, and the simulation of the effects of redevelopment interventions or the risk of stranded assets make it possible to move from static valuations to dynamic models oriented toward future scenarios.

The central issue, however, is not the technology itself. It is governance.

For these tools to generate real value, they must be embedded within clear, controlled and transparent processes. In Real Estate, data represent a strategic asset, and the use of artificial intelligence requires information protection, traceability of analyses and the central role of professional judgement.

Algorithms accelerate processing.

Professional responsibility guides decisions.

The future of the sector will be shaped by those able to integrate technology, expertise and industrial vision in a coherent and structured way.

These topics were discussed by Daniela di Perna during the RICS Conference, presenting reflections on how artificial intelligence, governance and professional expertise can be effectively integrated within the contemporary Real Estate sector.