Artificial intelligence is acting as a catalyst for eroding psychological safety within corporate environments. Rather than being a primary cause, the technology exacerbates existing social and behavioral issues, such as professional insecurity, the loss of sense of purpose, and interpersonal conflicts.
Data from McKinsey indicates that 82% of employees with experience in managing external service providers, such as consultants or marketers, hold realistic expectations regarding AI. Conversely, 74% of staff lacking such experience report having inflated expectations. The performance gap between these two groups, considering quality and deadlines, reached 58%.
The integration of AI into management processes often leads to 'social stupidity,' where automated decision-making and performance monitoring exclude employees from dialogue. This shift strips individuals of their agency and professional identity, as they transition from creators to mere verifiers of machine-generated outputs.
Organizations often fall into defensive patterns, such as silence or aggressive behavior, when psychological safety is compromised. AI is frequently weaponized in these dynamics, used either to deflect personal responsibility for decisions or as a tool to suppress dissenting opinions through pseudo-rational data arguments.
To mitigate these risks, companies must move beyond viewing AI as a simple optimization tool. Success requires re-evaluating the purpose of work, focusing on the value created for clients, and fostering an environment where employees can engage in meaningful dialogue rather than merely managing automated tasks.
