Abstract
Artificial intelligence (AI) is transforming cybersecurity in ways more paradoxical than mainstream narratives suggest. While AI is often framed as a solution to escalating threats, workforce shortages, and operational complexity, it may also reduce the entry-level tasks through which professionals develop judgment, intuition, and contextual awareness. Workforce data further complicate this issue, as many cybersecurity-adjacent roles do not consistently require a bachelor’s degree, raising questions about the value of higher education. This panel examines the gap between AI-cybersecurity narratives and security practice realities. Panelists will discuss how academia, industry, and research should respond, including implications for workforce preparation, Chief Information Security Officer (CISO) leadership expectations, and behavioral information security theories in AI-infused environments.
Recommended Citation
Balozian, Puzant; Gabriel, J.G. (Greg); Winkfield, Marcus; Guo, Chengqi (John); and Nehme, Alaa, "AI-Cybersecurity Nexus: Bridging Narratives, Operational Realities, and Academic Responsibility" (2026). AMCIS 2026 TREOs. 50.
https://aisel.aisnet.org/treos_amcis2026/50