In the rapidly evolving landscape of construction and operations, a new study is shedding light on how generative artificial intelligence (GenAI) is being integrated into the architecture, engineering, construction, and operations (AECO) sectors. The research, led by Shoeb Ahmed Memon from the Faculty of Society and Design at Bond University in Australia, offers a comprehensive review of current applications and potential future impacts of GenAI in these fields.
The study, published in the journal ‘Buildings’ (translated to ‘Zdania’ in English), systematically reviewed 28 peer-reviewed articles to identify key themes and trends in GenAI adoption. Memon and his team found that GenAI is being applied across various stages of the AECO process, from project briefs and architectural design to building information modeling, structural design, construction and demolition, operations, and even urban governance.
One of the most compelling findings is the potential for GenAI to streamline operations and improve efficiency. “A typical trend noted in the AECO industry has been training AI models that achieve quicker results, improve quality, and use fewer resources,” Memon explained. This could have significant commercial implications for the energy sector, where construction and operations are critical components.
For instance, GenAI could optimize building designs to enhance energy efficiency, reducing long-term operational costs. It could also improve project management by predicting potential delays or resource shortages, allowing for more accurate planning and budgeting. In the realm of urban governance, GenAI could assist in creating smarter cities with more efficient infrastructure and reduced environmental impact.
However, the study also highlights the challenges and limitations of current GenAI applications. Many existing uses are simplistic and fail to deliver credible outputs, indicating a need for more sophisticated and tailored AI solutions. Memon emphasizes the importance of understanding these limitations to drive future advancements.
As the construction and energy sectors continue to evolve, the integration of GenAI could play a pivotal role in shaping more efficient, sustainable, and cost-effective practices. This research serves as a crucial stepping stone in understanding the current landscape and paving the way for future innovations.