AI-Enhanced BIM for Sustainable Construction in the Era of Industry 4.0

The integration of Artificial Intelligence (AI) and Building Information Modeling (BIM) is rapidly transforming construction management by enabling smarter, more sustainable project delivery. Recent technological advances—particularly in AI, sensing, and data analytics—are expanding BIM’s capabilities in areas such as real-time monitoring, predictive maintenance, and resource optimization. As the construction industry adapts to Industry 4.0, the convergence of AI and BIM has emerged as a key enabler of digital transformation, enhancing efficiency, collaboration, and environmental performance across the project lifecycle.

This Research Topic aims to accelerate the adoption of digital technologies in the construction sector, focusing on the integration of AI with Building Information Modeling (BIM) and the broader suite of Big9 technologies—AI, drones, IoT, cloud computing, big data, sensing, wearables, robotics, and extended realities (VR/AR/MR/xR). These innovations offer transformative potential in areas like automated design, construction monitoring, resource efficiency, and safety management. Despite the promise, challenges remain in implementation, interoperability, and ethical use. By collecting cutting-edge research on AI-BIM integration and its implications for sustainable and digital construction, this themed issue will provide a roadmap for embracing Industry 4.0 and transitioning toward a more adaptive, efficient, and environmentally responsible construction industry.

We invite original research articles and state-of-the-art reviews on AI-BIM integration and other advanced digital technologies in the construction industry. This Special Issue aims to bring together contributions from a diverse range of professionals, including academics, construction managers, civil engineers, project managers, urban governance teams, city and regional planners, real estate and property managers, architects, IT managers, data scientists, software developers, computer systems analysts, web developers, governance and policy specialists, and related experts.

Topics of interest include, but are not limited to:
- Artificial Intelligence (AI) in Construction
- Building Information Modeling (BIM)
- Applications in Construction and Construction Management
- AI-BIM Integration in Construction
- Benefits and Challenges of AI-BIM Integration
- Industry 4.0 Technologies in Construction
- Industry 5.0 Technologies in Construction
- Green and Sustainable Technologies in Construction
- Big9 Technologies in Construction
- Legal and ethical issues of AI in Construction
- Technologies and Information Management Systems for Construction Project Management
- Social and economic aspects of technology adoption
- Construction education for Industry 4.0 and Industry 5.0

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Editorial
• FAIR² Data
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Editorial
• FAIR² Data
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review

Keywords: Artificial Intelligence, Building Information Modeling (BIM), Sustainable Construction, Industry 4.0, Construction Automation, Digital Construction Management, Construction Technologies

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.