Large-scale digital transformation is inevitable: by 2030, at least 50% of all business processes in the construction sector and housing and utilities will be transferred to artificial intelligence algorithms. This ambitious target was announced by Deputy Minister of Construction and Housing and Utilities Konstantin Mikhailik, calling this figure colossal and suggesting imagining that every second action in the industry will be automated.
Digital Leap Plan
The goal was outlined at the plenary session of the "Cities of the Future" forum in Perm. According to the official, KPIs for regions and federal authorities for 2026 have already been formed to achieve such indicators. A key condition will be abandoning fragmented systems and transitioning to unified digital solutions. The authorities intend to approve three basic platforms: the first will cover construction management, the second—utility infrastructure, and the third will link them to the "Smart City" project. Such a combination, according to the ministry's plan, will unify data formats across the entire industry.
Mikhailik named poor data quality, an outdated technology stack aged 10–20 years, and the need for large-scale staff retraining as the main obstacles.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 Extends Beyond Construction
Transport has become another area where the state is betting on algorithms. President Vladimir Putin instructed the use of AI to forecast demand, optimize schedules, and route networks for 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 the intellectual property rights of authors are reliably protected.
Medicine remains one of the most illustrative examples of digitalization. Yandex registered the company "Yandex Med" to develop medical software, while the "MosMedAI" platform has already united more than two thousand clinics from 75 regions and processed over 16 million radiology studies. As technology adoption expands, security requirements are also tightening. The Big Data Association added AI-related requirements to the industry standard for information protection, 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 size. 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 analysis: The stated plans look ambitious but realistic, especially given the current trend toward import substitution and the development of sovereign AI solutions. However, the key risk remains data quality and the speed of staff retraining—without solving these problems, even the most advanced algorithms will not be able to deliver the stated efficiency. Market growth to 830 billion rubles confirms that investors and the state see AI as a strategic asset, not just a technological novelty.