Interviews with 21 industry leaders point to governance, engineering judgment, and institutional knowledge as determining factors in responsible AI adoption.
WASHINGTON (August 19, 2026) – The ACEC Research Institute today released Leading Through AI Risk: The Enterprise Framework for Engineering Firm Leaders, a new study finding that the most significant risks artificial intelligence poses to engineering firms are organizational rather than technological, and that firms treating AI as an IT initiative are managing the wrong issue.
The report, part of the Institute’s yearslong Firm of the Future initiative, combines an extensive literature review with in-depth interviews of 21 leaders drawn from engineering firms, public infrastructure owners, technology vendors, insurance and legal professionals, licensing and regulatory agencies, and AI consultants.
The report groups AI risk into eight interconnected domains:
- technical reliability and model risk
- professional liability and standard of care risk
- data governance, privacy, and intellectual property risk
- organizational and workforce risk
- ethical, regulatory, and reputational risk
- operational and cybersecurity risk
- financial and business model risk
- strategic leadership and enterprise governance risk
The last serves as the integrating domain through which firms coordinate responsible AI adoption enterprise wide.
The report stresses that firms do not experience these risks one at a time. Weak oversight may create legal liability. Workforce gaps may affect quality assurance. “Understanding these interactions,” the study notes, “is often more important than understanding individual risks independently.”
About the ACEC Research Institute
The ACEC Research Institute is the independent research arm of the American Council of Engineering Companies (ACEC). Its mission is to fund and deliver research to equip the engineering industry with actionable intelligence on the issues critical to its success. Learn more at www.acecresearchinstitute.org.