Download PDFOpen PDF in browserAI-Enabled Workflows and Their Implications for Entry-Level Employment and Construction Management Education10 pages•Published: June 2, 2026AbstractThis study explores how artificial intelligence (AI) enabled workflows are reshaping employment criteria for entry-level construction management (CM) professionals and how these changes may inform future CM curricula. A quantitative survey was distributed to forty construction professionals in California who are directly involved in hiring, supervising, or evaluating project engineers. Descriptive statistics were used to summarize current and anticipated levels of AI adoption, perceived effects on entry-level training, and expectations for skill development. Results suggest that AI adoption across construction workflows remains moderate, indicating growing interest but limited implementation to date. Respondents noted that automation is beginning to replace certain repetitive estimating and scheduling tasks, which may reduce some traditional task-based training opportunities. At the same time, participants expressed cautious optimism that automation could create opportunities for higher-order analytical work. Overall, the findings highlight that while AI integration in construction is advancing gradually, its influence on workforce development remains uncertain, underscoring the need for CM programs to balance foundational technical instruction with emerging competencies in AI oversight, data literacy, and ethical decision-making.Keyphrases: artificial intelligence, construction management, curriculum development, workforce readiness In: Wesley Collins, Anthony Perrenoud and John Posillico (editors). Proceedings of Associated Schools of Construction 62nd Annual International Conference, vol 7, pages 694-703.
|

