By 2030, half of all business processes in the construction sector and housing and utilities will be transitioned to artificial intelligence algorithms. This ambitious initiative was put forward by Deputy Minister of Construction and Housing Konstantin Mikhaylik.
The official called this figure colossal, suggesting the market imagine that every second action in the industry will be automated using AI models. This is not just about pilot projects, but about a systemic transformation of an entire economic sector.
What exactly the Ministry of Construction plans
Mikhaylik announced the goal at the plenary session of the "Cities of the Future" forum in Perm. According to him, by 2030 the ministry must transition 50% of construction and housing processes to artificial intelligence tools. The Deputy Minister emphasized the scale of the task, comparing it to automating half of all work actions in the sector.
To achieve this indicator, KPIs for regions and federal authorities have already been set for 2026. A key condition for the transition will be the implementation of standard digital solutions. This involves abandoning fragmented systems and bringing data into a unified format.
The authorities plan to approve three basic platforms. The first will cover construction management, the second—communal infrastructure, and the third will link them to the "Smart City" project. Such a linkage, according to the ministry's design, will unify data formats across the entire industry.
Mikhaylik cited low data quality, an outdated technology stack aged 10–20 years, and the need for large-scale staff retraining as the main obstacles. At the same time, he predicted that by 2029, management decision-making in the sector will change beyond recognition. The reason will be the "embedding" of artificial intelligence into every stage of the construction cycle.
AI penetrates other industries and the public sector
Transport has become another area where the state is betting on algorithms. President Vladimir Putin ordered the use of AI for demand forecasting, optimizing schedules, and route networks of public transport, calling such tools a way to radically improve the industry's efficiency.
Domestic data arrays are becoming the foundation for national models. Prime Minister Mikhail Mishustin approved a list of instructions under which scientific research data will be opened for training sovereign AI models, provided that authors' intellectual rights are reliably protected.
Medicine also remains one of the most illustrative examples of digitalization. Yandex registered the company "Yandex Med" to develop medical software, and the "MosMedAI" platform has already united more than two thousand clinics from 75 regions and processed over 16 million radiological studies.
With the expansion of technology use, security requirements are also tightening. The Big Data Association added requirements for working with AI to the industry information security standard, and its members—Sber, Yandex, VK, Avito, Rostelecom, and HeadHunter—committed to regularly assessing process security and training employees.
The scale of implementation is also reflected in market volume. According to the baseline forecast of the AIANA agency, the Russian artificial intelligence market will grow from 316.1 billion rubles to 830 billion by 2030, and under a favorable scenario—to 1.12 trillion rubles.
My view as an analyst: The Ministry of Construction's ambitions look realistic, but the key risk lies not in technology, but in data quality and the industry's readiness for a paradigm shift. Success will depend not on the number of implemented algorithms, but on the ability to unify information and retrain personnel. If these barriers are overcome, construction will become one of the most digitalized sectors of the economy, which will inevitably impact adjacent markets, including fintech and real estate.