Disaster Recovery Journal Fall 2025

1. The Efficiency Trap: Automation and Its Blind Spots AI enhances productivity. It can reduce delays and perform repetitive tasks faster than humans. However, blind reliance on AI also introduces continuity vulnerabili ties: n Emotional signals get missed: AI tools aren’t yet able to detect emotional nuance. A stressed customer using non-standard phrasing may not get appropriate escalation, especially with chatbots or voice assistants. n Escalation pathways are obscured: Automated systems often bury the path to human help. This breeds frustration and delays resolution of problems that might escalate into major crises. n Critical thinking degrades: Employees trained to trust system outputs may lose confidence in their own judgment. When systems fail – or give misleading outputs – staff are less likely to intervene effectively. Automation isn’t inherently risky. But when systems are designed without human-centered resilience in mind, small issues can snowball into large-scale dis ruptions. 2. The Human Factor in the Post CoTech Era The Post-CoTech (Post-COVID + Technology) era has altered how humans engage with one another and with machines. While AI provides efficiencies, it also deconditions us from critical think ing and human connection. Generational Blind Spots Different age groups interact with tech nology differently. Generation X leaders, who grew up in analog environments, are often more skeptical of automation—but they may not fully understand today’s sys tems. Gen Z professionals, digital natives by birth, may trust system outputs too readily. This creates a leadership gap: decision makers may either under-trust or over trust AI, leading to mismanaged risks. Organizations must be attuned to these generational differences when training staff and designing response systems.

Hidden AI Risks BCM Leaders Must Prepare for Now Risks That Don’t Blink on a Dashboard

By YULY GROSMAN

I

n boardrooms and crisis manage ment meetings, conversations about artificial intelligence (AI) often revolve around efficiency, automa tion, and optimization. AI promises to streamline logistics, elevate customer experiences, and improve operational throughput. However, in the pursuit of technologi cal excellence, organizations may be walk ing past a growing hazard – human-tech friction and emerging threats that remain

invisible until it’s too late. Business con tinuity management (BCM) professionals are increasingly responsible not just for systems recovery, but for detecting early warning signs of disruption that blend human behavior with technological fail ures. In this article, we explore the under reported, often misunderstood risks at the intersection of AI, automation, and human vulnerability – and why BCM profession als must evolve their strategies now.

20 DISASTER RECOVERY JOURNAL | FALL 2025