The Silent Transformation: Psychosocial Risk Patterns in AI-Assisted Cognitive Work

This working paper presents a qualitative case study of psychosocial risk patterns emerging in AI-assisted cognitive work, based on approximately three years of sustained practice and observation. Three phenomena are identified and defined: cognitive hypervigilance, professional self-perception misalignment, and the organizational grey zone. These patterns are not adequately captured by existing psychosocial risk assessment frameworks. The paper argues that naming these phenomena constitutes the first necessary preventive intervention. Without language, there is no organizational recognition; without recognition, there is no protection. This work is developed within the Applied Cognitive Symbology (ACS) framework (El Canal) and follows the Canal Transparency Protocol (PTC), enabling traceability and verification of the document through its TXT version and validator output.