How AI is Transforming Buildings into Smart, Sustainable Living Spaces

In 2023, China’s central government issued opinions on continuously advancing urban renewal, aiming for significant progress by 2030. The policy calls for a shift in development methods toward sustainable urban renewal models, optimizing city structures, enhancing functionality, preserving cultural heritage, and improving quality to create livable, resilient, and smart cities.

As the domestic economy moves from high‑speed growth to high‑quality development, traditional building practices that increase emissions are no longer viable. Innovating and deploying green, low‑carbon, and intelligent technologies in urban renewal is essential to accelerate industrial and technological innovation and transform the economic development model.

The building sector now faces a pivotal transformation. Growing urban populations and rising demand for intelligent building functions require offices, residences, and commercial complexes to align with urban renewal goals. Leveraging artificial intelligence, carbon‑neutral technologies, and other emerging solutions to create new building ecologies has become a critical challenge.

Building Evolution: From Point Intelligence to Whole‑Domain Wisdom

Driven by AI transformation, carbon‑neutral targets, and upgraded user experiences, the redesign of building development is inevitable. Building design is evolving from single‑device energy saving to lifecycle‑wide, systematic, intelligent solutions.

“AI + Action” is the main theme of industry change this year, integrating AI with sector‑specific knowledge and resources to foster cross‑domain collaboration, accelerate breakthroughs, and nurture high‑potential future industries.

The digitally awakened building system moves beyond isolated device upgrades to become a “living entity” with comprehensive perception, autonomous decision‑making, and continuous evolution, progressing through three stages from point intelligence to whole‑domain wisdom.

The first stage focuses on infrastructure intelligence: perception and execution side point intelligence. Massive IoT sensors deployed in buildings capture environmental data such as temperature, humidity, illumination, occupancy density, and equipment status.

In the AI era, sensors and infrastructure gain higher real‑time accuracy and processing power. High‑performance edge nodes with AI computing capabilities process video, audio, and other data locally, enabling millisecond‑level detection and response for security, intrusion, and fire‑path occupancy scenarios, turning passive perception into an active “building nervous system.”

The second stage integrates perception, electromechanical, and other subsystems into a unified building management platform. Leveraging abundant digital data, AI models and a building‑wide large model perform deep inference to provide optimal coordination across all devices.

The third stage adds cognition and autonomous evolution. Vertical AI models, trained on massive historical and real‑time data, continuously learn, improve, and evolve, turning the building into an intelligent brain that shifts management from reactive to predictive and ultimately to proactive, real‑time optimization.

The building “brain” offers dynamic, real‑time adjustments based on scenario‑specific learning and personalized strategies, forming a closed loop of data input, decision output, feedback, and model updates.

As AI models deepen their understanding of a specific building, they can proactively explore better operation strategies and uncover hidden correlations, embodying autonomous evolution and creating a self‑perceiving, self‑learning, self‑optimizing smart space.

Smart Building Awakening Unlocks Multidimensional Value, Building a Sustainable Future

The transition from point intelligence to whole‑domain wisdom delivers comprehensive benefits for building operators, users, and the broader city environment.

Unified intelligent platforms enable centralized monitoring and remote management, dramatically reducing manual inspection and maintenance costs while boosting operational efficiency.

Human‑centered smart building technologies enhance auditory, visual, olfactory, tactile, safety, comfort, health, environmental, and economic aspects, reshaping user experience—for example, seamless, credential‑free access that improves flow and security.

Buildings account for a large share of energy consumption and carbon emissions; in 2022, China’s building sector emitted 5.13 billion tCO₂, representing 48.3% of the nation’s energy‑related emissions.

Zero‑carbon buildings, achieved through efficient energy management, renewable sources, and intelligent design, reduce greenhouse gases, lower energy use, and improve living and working conditions.

AI is key to this awakening. For instance, Midea Building Technology’s energy‑center project for a major hospital used proprietary energy‑simulation software and AI‑based smart control solutions to model annual consumption, optimize equipment selection, balance water‑network hydraulics, and achieve energy‑prediction errors within 3%.

The value of smart building awakening extends beyond cost reduction; it serves as a core engine for achieving carbon‑neutral targets, especially for retrofitting high‑energy‑consumption existing structures.

In the context of accelerating climate change, AI‑enabled smart buildings enhance resilience, efficiently handling extreme‑weather‑induced energy fluctuations and strengthening overall urban robustness.

Conclusion

The digital awakening of building architecture marks its evolution from a static space to an intelligent, perceiving, thinking, and evolving entity. This AI‑driven transformation reshapes operational logic and user experience, delivering substantial economic and environmental benefits while acting as a strategic lever for sustainable city development, industrial ecosystem upgrades, and societal resilience.