Install a full cycle intelligent brain into a 'good house'
2026-09-23
With the deepening of the "Artificial Intelligence+" initiative, artificial intelligence technology is accelerating iteration and continuously expanding its application scenarios, becoming an important lever for empowering industrial digital transformation and cultivating new quality productivity. Relying on cutting-edge technologies such as large-scale models, the real estate industry has broken through traditional development constraints, achieved comprehensive changes in development decision-making, construction, and residential services, and accumulated a number of standardized and replicable intelligent application achievements. Promoting the deep integration of artificial intelligence and the real estate industry is a key measure to build a new development model for the industry and create safe, comfortable, green and smart living products.
The empowerment effect of artificial intelligence on the real estate industry is mainly reflected in four aspects. One is that development decisions are more precise. Artificial intelligence integrates multi-dimensional massive data from the real estate industry to accurately analyze customer characteristics, market preferences, and industry trends, providing data and algorithm support for early-stage work such as land analysis, product positioning, and planning and design for enterprises. By transforming scattered industry experience into standardized modeling capabilities, the subjectivity and lag of traditional decision-making can be avoided, effectively improving the scientific and accurate nature of project development.
The second is to improve the quality and efficiency of intelligent construction. The normalization of artificial intelligence is applied to the entire process of construction, achieving digital control of the entire chain of building design, industrial production, and on-site construction. This helps optimize the allocation of construction resources, improve project quality and operational efficiency, reduce construction risks, strictly control construction costs, and achieve comprehensive optimization of construction quality, efficiency, safety, and cost.
The third is the continuous upgrading of convenient services. Artificial intelligence+approval "and" artificial intelligence+quality inspection "have been widely implemented in the fields of housing and real estate. The scenarios of intelligent building monitoring, automated inspection, smart real estate services, and intelligent property management continue to expand, opening up digital channels for enterprise and resident services, effectively improving industry operation and government affairs efficiency, continuously optimizing the living experience, and enhancing the sense of achievement of people's living services.
The fourth is to accelerate the implementation of green and low-carbon initiatives. Artificial intelligence can accurately predict the new energy generation and electricity load of buildings, achieving dynamic scheduling of building energy supply and demand. By leveraging the integration of artificial intelligence, the Internet of Things, and new energy technologies, we aim to achieve self-sufficiency in building green energy and low-carbon emissions reduction, providing strong support for energy conservation, carbon reduction, and green transformation in the real estate industry.
It should also be noted that the current intelligent applications are still in the exploratory stage, and there are multiple shortcomings in the large-scale implementation. For example, there is insufficient technological adaptability, and the general large model lacks professional language and business support in real estate, making it difficult to adapt to core business scenarios; The industry data base is weak, the industrial chain is long, there are many participating entities, and data barriers still exist, making it difficult to communicate and share; There is a shortage of composite talents, and there is a scarcity of talents with both engineering and digital technology capabilities. Frontline personnel lack digital skills; The industrial ecology is not perfect, the research and development of industry-specific intelligent models requires large investment and long cycles, making it difficult for small and medium-sized enterprises to participate. The investment of top enterprises is scattered, and the development of intelligent applications in the industry is uneven.
To solve these problems, it is necessary to deeply implement the national "Artificial Intelligence+" action, focus on the pain points of industry development, adhere to scenario driven, data empowered, talent supported, and ecological collaboration, promote the full life cycle of buildings empowered by artificial intelligence, and help the industry improve quality and efficiency.
Adhere to scenario driven approach and activate the vitality of intelligent applications in the industry. Focusing on core scenarios such as intelligent design, intelligent construction, intelligent operation and maintenance, intelligent property management, and intelligent supervision, we aim to establish a smart management system for the entire lifecycle of buildings. Improve industry-specific corpora and knowledge bases, promote the deep integration of general large-scale models with professional data such as design, construction, and cost, and enhance the adaptability and practicality of intelligent technology in core scenarios.
Strengthen data empowerment and solidify the foundation of digital development. Systematically organize and collect data from various aspects of real estate, promote standardized governance, explore data sharing and authorized operation mechanisms, and build a closed-loop data system for the entire lifecycle. Deepen industry university research cooperation, build high-quality industry datasets, strictly implement data classification management and security protection systems, and build a solid data security barrier.
Consolidate talent support and fill in the gaps in digital skills. Build a talent cultivation system that integrates both business and technology, regularly carry out artificial intelligence practical skills training, and focus on cultivating industry composite professional talents. Continuously deepen school enterprise cooperation, establish specialized talent training and training bases, broaden talent introduction channels, and enrich the digital talent reserve in the industry.
Optimize the industrial ecology and deepen the deep integration of science, technology, and industry. Build a collaborative innovation system led by the government, led by enterprises, and supported by universities, focusing on technological breakthroughs in areas such as intelligent construction, intelligent operation and maintenance, and green low-carbon. Support leading enterprises to establish industry innovation alliances, build technology exchange and achievement sharing platforms, and promote the integrated development of large, medium, and small enterprises. Open up the list of intelligent application scenarios in the industry, encourage localities to take the lead in areas such as smart communities and digital housing security, and broaden the scope of intelligent application in the entire industry. (Outlook New Era)
Authors: Zhang Linshan (Researcher at the Institute of Economic System and Management, National Development and Reform Commission), Wang Haotian (Associate Researcher at the Institute of Economic System and Management, National Development and Reform Commission)
Edit:Luoyu Responsible editor:Jiajia
Source:ECONOMIC DAILY
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