AI Becomes a Daily Tool in Construction
Artificial intelligence is no longer a peripheral innovation, it has entered the daily routines of construction and real estate professionals worldwide. The most recent studies reveal a sharp acceleration in adoption: more than one-third of architects, engineers, and planners already use AI every day, and over 80% rely on it at least once a week. What was once experimental is now standard practice, signaling a paradigm shift in how the built environment is designed, executed, and managed. This surge is not merely a question of technological novelty; it reflects deep-seated structural needs within the industry. Construction has long been plagued by cost overruns, inefficiencies, and delays, with McKinsey estimating that large projects typically take 20% longer than scheduled and run up to 80% over budget. AI, by offering predictive capabilities, streamlined workflows, and real-time adaptability, emerges as the tool best suited to confront these chronic challenges head-on.
From Design to Energy Efficiency: Expanding Applications
AI’s contribution extends far beyond drafting or calculations. It is now embedded in a wide array of tasks that determine the success of projects: advanced modeling, generative design, predictive simulations, and digital twin technology. Digital twins in particular are becoming indispensable, enabling teams to model a building’s behavior across its lifecycle—from structural resilience to energy usage—long before ground is broken. This anticipatory power translates into major efficiency gains: simulations can identify flaws that would otherwise only surface during construction or even years after completion. By integrating AI-driven design automation, some workflows are accelerated by up to 40%, while material waste can be reduced by as much as 15%. Such improvements have a dual impact: they save developers and investors money while also aligning projects more closely with global sustainability imperatives. As cities face rising demands for decarbonization and energy neutrality, AI-driven optimization in design and energy efficiency is no longer optional—it is a necessity.
Sector Sentiment: Opportunity vs. Risk
The industry’s outlook on AI remains overwhelmingly positive, but it is not without reservations. A majority of professionals, more than 60%, perceive AI as an unprecedented opportunity to raise the bar in performance and creativity. Only a minority—roughly one in ten—fear that it will displace jobs on a large scale. This optimism reflects the view that AI, far from replacing human expertise, acts as a powerful complement, freeing professionals from repetitive tasks and enhancing their capacity for higher-level strategic thinking. Yet this enthusiasm coexists with a deep awareness of potential risks. Over 90% of respondents insist on the necessity of robust ethical guidelines governing AI’s use in construction and urban planning, while nearly half worry about the growing concentration of power in the hands of Big Tech. These concerns echo broader debates across Europe and beyond: the European Commission has repeatedly stressed the need for regulatory frameworks that ensure transparency, accountability, and equity in AI applications. The future of construction, therefore, will depend not only on technological integration but also on governance frameworks capable of steering AI towards outcomes that are both innovative and fair.
Smart Buildings and Sustainable Cities
The influence of AI is not confined to construction processes; it is redefining how buildings function once occupied. Smart buildings powered by AI are capable of dynamic adaptation to human presence and environmental conditions, constantly adjusting heating, cooling, ventilation, and lighting to optimize comfort while minimizing resource use. This adaptability represents a breakthrough in sustainability: JLL has reported that AI-enabled smart buildings can reduce energy consumption by up to 20%, while post-renovation energy usage can fall between 10% and 40% thanks to digital twin audits. These savings are not marginal—they carry enormous implications for global climate objectives, given that the built environment currently accounts for nearly 40% of global CO₂ emissions. In addition, predictive maintenance powered by AI extends the lifespan of critical systems, cutting operating costs and preventing failures before they occur. Together, these advancements mark the beginning of a shift towards truly intelligent urban ecosystems, where buildings are not static structures but responsive systems contributing actively to the sustainability of entire cities.
AI in Investment and Asset Management
Perhaps the most transformative applications of AI are unfolding not on the construction site but in the financial and strategic domains of real estate investment. Automated valuation models now combine vast datasets—from transaction history to neighborhood demographics—to generate property valuations with speed and precision unattainable by traditional methods. Predictive analytics can forecast demand and pricing trends across entire urban zones, allowing investors to make decisions with unprecedented confidence. Deloitte has found that AI integration can increase forecast accuracy in real estate portfolios by up to 25%, a figure that directly translates into reduced financial risk and higher returns. Meanwhile, generative AI is streamlining logistics and project management, cutting costs by as much as 30% by anticipating supply chain disruptions and optimizing resource allocation. For asset managers, this intelligence is equally critical: smart buildings, augmented with AI and IoT systems, can adapt usage patterns in real time to maintain asset value and avoid obsolescence. At a time when real estate markets face growing uncertainty, AI is emerging as the most decisive factor for strategic resilience.
Our Expert Perspective: A Revolution in Real Estate and Investment
At Vertx, our direct experience confirms that AI is far more than an incremental improvement; it is the foundation of a revolution. By embedding AI into every layer of our investment and development strategies, we have observed how data-driven intelligence can transform the entire value chain. Through real-time market analysis, predictive modeling, and algorithmic valuations, we give investors the ability to anticipate market shifts and reposition their assets dynamically. This agility is critical in a world where volatility—economic, environmental, and social—has become the norm. Moreover, AI allows us to align financial returns with sustainability imperatives, ensuring that profitability and environmental responsibility are no longer opposing forces but mutually reinforcing outcomes. Our position is clear: AI is not only enhancing real estate investment; it is redefining it for an era in which adaptability, sustainability, and long-term value creation are indispensable.
Ethical Responsibility and the Road Ahead
Yet we cannot overlook the responsibility that comes with this transformation. The United Nations has emphasized that AI should play a central role in achieving the Sustainable Development Goals, particularly those related to sustainable cities, responsible consumption, and climate action. For real estate and construction, this implies more than adopting new technologies—it requires a commitment to deploying AI in ways that advance inclusivity, resilience, and collective well-being. The path forward is not only technological but ethical. If integrated responsibly, AI will not just solve the sector’s longstanding inefficiencies; it will help shape a built environment that is more sustainable, more equitable, and better prepared for the challenges of tomorrow.
References
- María Encabo, La IA entra en la rutina de la edificación: el 36 % de los profesionales la usa cada día, Observatorio Inmobiliario, 28 August 2025.
- McKinsey & Company, Artificial Intelligence: Construction Sector Applications, 2022.
- European Commission, European Approach to Artificial Intelligence, 2021.
- JLL, How AI is Shaping the Built Environment, 2023.
- Deloitte, Real Estate Predictions 2021, Deloitte Insights.
- United Nations, Artificial Intelligence and the SDGs, 2023.