At a recent SEAKM conference, Sheng Zheng of the NCSEA Foundation AI Grant Team presented on how artificial intelligence is beginning to enhance structural engineering workflows and how firms can thoughtfully integrate these tools into practice.
The presentation focused on the growing role of AI as a practical support tool for engineers — particularly in areas such as communication, information synthesis, and data processing. Rather than replacing engineering judgment, AI was framed as a way to reduce time spent on repetitive or structured tasks so professionals can focus more attention on higher-value engineering work.
A key theme throughout the discussion was intentional adoption. AI tools are most effective when aligned with repeatable, data-driven workflows that complement professional expertise and responsibility. The presentation emphasized that firms do not need highly customized systems to begin seeing value. Instead, meaningful progress can start with accessible tools, stronger data organization, and improved internal knowledge management.
Examples shared during the session included streamlining routine communications, organizing meeting notes and project information, processing large volumes of finite element analysis output data, and improving access to design codes and internal resources. These applications demonstrated how AI can support efficiency, consistency, and knowledge sharing across engineering teams.
The discussion also highlighted the importance of taking a measured, step-by-step approach as these technologies continue to evolve. By integrating AI gradually into existing workflows, firms can adapt more effectively while identifying practical opportunities for long-term productivity gains.
Engineers interested in learning more about AI in structural engineering, emerging technologies, and ongoing industry initiatives are encouraged to explore the NCSEA Innovation Council. The Innovation Council serves as a collaborative hub for professionals interested in AI, automation, workflow efficiency, and the future of practice — including efforts from the NCSEA Foundation AI Grant Team focused on practical implementation and education across the profession