For decades, the real estate and construction sectors operated on intuition, traditional craftsmanship, and analog processes.
However, as we look toward 2035, a seismic shift is underway. Artificial Intelligence (AI) has moved from a speculative concept to a structural engine expected to generate approximately €535 billion in national wealth over the next decade.
By 2050, this figure could soar to €800 billion. This is not merely a digital upgrade; it is a fundamental redesign of how we build, manage, and value premium assets.
A New Architecture for Business Processes
In the current market, AI is far more than a set of isolated tools. It is an architecture that permeates the entire supply chain. According to recent JLL data, 93% of Italian managers view AI as the primary driver for addressing sector challenges, a sentiment that surpasses the global average.
The practical benefits are already visible:
- Market Mapping: Professionals can now map the real estate market down to the street level, using predictive analysis to read data flows with total precision.
- Operational Efficiency: Automated management systems allow for rapid responses to tenant needs while minimizing vacancy rates.
- Sustainability: AI-optimized buildings can achieve energy savings of 50-60% compared to traditional structures, making ESG compliance a standard rather than an option.
Generative Innovation: The Leaders in Data Science
The shift toward AI is being led by major institutional players who are rethinking the traditional business model. Generali Real Estate, managing over €36.7 billion in assets, has established a dedicated "Technology" function. By developing proprietary machine learning applications, they are reinventing market research and data engineering.
The goal is clear: to make data more accessible, optimize investment management costs, and improve decision-making capabilities through deep market insights. By 2027, the focus will move toward total data efficiency to increase value for both tenants and investors.
Construction: From Intuition to Predictive Intelligence
Even the most traditional segments of the industry are evolving. In the world of construction, we are moving from an era of experience-based guessing to data-driven predictive analysis.
- The AI Hub: Initiatives like the "Attention" project by Ance Friuli Venezia Giulia utilize virtual agents to coordinate information flows, provide regulatory updates, and offer tailored technical advice on sustainable materials.
- Democratizing Tech: Startups like Plinn are breaking down traditional silos between ERP and BIM systems. By transforming raw data into "perfect information flows," these technologies allow entrepreneurs to make precise decisions without waste or errors.
The Challenges: Data Quality and Talent
Despite the optimistic forecasts, the transition faces real hurdles. AI is only as effective as the data it receives. Without accurate and reliable streams, the feedback is flawed. Furthermore, the industry faces a significant shortage of professionals who possess the specific skills required to implement these high-cost, high-reward solutions.
The Correctness Era
In the 2026 market, success is no longer about speed or activity; it is about correctness. AI provides the clarity needed to survive the "Endurance Test" of modern real estate. Whether it is through hyper-accurate floor plans or the optimization of a premium building's carbon footprint, technology is the silent partner ensuring that assets remain relevant and liquid in a selective global market.
