Artificial Intelligence And Circular Economy In Wood Construction: Exploring AI’s Role In Enhancing Sustainability And Material Reuse

Le résumé fourni par la source

Multi-story wood construction offers sustainability potential, but regulatory, material traceability, and economic challenges limit circular economy (CE) adoption. At the same time, Artificial Intelligence (AI) is emerging as a transformative tool that can optimize construction processes and possibly act as an enabler for change. However, the extent to which AI can leverage CE in wood construction is still underexplored. This study conducts a descriptive analysis to examine trends in the wood construction industry and stakeholder perspectives on AI’s role in facilitating CE adoption within wood construction. By engaging key market actors, the research explores how AI-driven technologies such as digital twins, machine learning, and material tracking can address regulatory barriers, improve resource efficiency, and thereby enhance CE goals. The survey results indicate that tools for material traceability and design optimization are already in use by a majority of stakeholders and are perceived as impactful for CE, whereas advanced AI applications (e.g. AIdriven structural health monitoring) remain underutilized. Notably, researchers and technology providers express higher confidence in AI’s CE potential than construction firms, pointing to awareness and implementation gaps. These insights highlight AI’s critical enabling role, particularly through digital transparency and data-driven decision-making, in advancing circular practices in wood construction.

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