The psychological weight of the competency trap: reframing “unlearning” as a mental health imperative in AI-driven workplaces

Purpose This viewpoint applies the lens of the foundational “competency trap” to the modern landscape of artificial intelligence (AI) integration, challenging the assumption that resistance is merely an operational failure or employee stubbornness. It aims to reframe this resistance as a profound psychological defence mechanism triggered by the forced unlearning of legacy skills. Design/methodology/approach Drawing upon behavioral psychology and organizational learning literature, this viewpoint explores the disconnect between macro-level technological adoption and micro-level human adaptation within technology-driven workplaces. Findings The sudden obsolescence of career-defining technical skills triggers an “extinction burst” and a phenomenon termed “Conditioned Silence”. Employees mask their anxiety and isolate themselves to preserve their professional identity. This unacknowledged mental health crisis fractures workplace social inclusion, ultimately undermining the organizational agility firms seek. Practical implications To successfully navigate AI transitions, organizations must shift from demanding immediate technical perfection to officially rewarding adaptability. Actionable strategies include destigmatizing the learning struggle through visible leadership vulnerability and replacing solitary digital training with collaborative, peer-supported unlearning cohorts. Originality/value By re-conceptualizing the sociological construct of “Conditioned Silence” as a psychological defence mechanism during AI integration, this paper shifts the paradigm of the competency trap from an operational bottleneck to a psychological crisis, providing a novel behavioral framework for managing digital disruption without sacrificing employee well-being.