국내 건설·환경분야 AI 서비스 활성화를 위한 산업계 인식에 관한 연구: 법령, 기준 및 인허가를 중심으로

Despite their close ties to the real economy, the construction and environmental industries show limited adoption of artificial intelligence (AI), constraining competitiveness. This study surveyed 76 companies, focusing on administrative processes in the planning and design stages, to examine AI adoption potential and limitations. The findings highlight several key barriers including frequent legal changes, fragmented information, complexity, and lack of expertise. Nevertheless, 92.1% of respondents expressed strong willingness to adopt AI, with priority features such as instant search and retrieval, step-by-step licensing guidance, and regulatory update alerts. Potential applications were also identified for waste management, air quality, and water quality. However, responses on concrete development plans were limited, and smaller firms faced greater challenges in information access and in-house capacity. In the environmental sector in particular, demand for legal and regulatory information was high during permit applications, preliminary reviews, and business planning. Importantly, the study found that greater concern about reliability and interpretation errors was linked to higher expectations for efficiency and productivity once addressed. Overall, the study highlights the need for AI services tailored to laws, standards, and permitting processes, underscoring the importance of timely and accurate data, expert verification, and customized information according to firm size and domain.