Trust Erosion: Why Bosses Pull Back
A new study led by Samuel Meyers, a Ph. D. student, with Dr. Yochanan Bigman of the Hebrew University of Jerusalem and Dr. Roman Briker of WHU—Otto Beisheim School of Management, reveals that AI use at work may reduce supervisor trust. The research examines how reliance on generative AI affects professional perception.
The study focuses on the psychological and organizational dynamics when employees use tools like ChatGPT. While productivity gains are real, the human element of trust erodes. Supervisors may interpret AI assistance as a sign of lower competence or higher risk. This creates a hidden cost that is not immediately visible in output metrics.
The core finding is that perceived competence drops when AI use is detected. Employees who lean heavily on AI may be viewed as less autonomous. This perception gap can affect promotions, project assignments, and long-term career trajectory. The study highlights that the damage is subtle and accumulates over time.
Can You Hide Your AI Use?
Not always. In many workplaces, AI usage leaves digital traces. Screen sharing, version history, or metadata can reveal the extent of AI involvement. The study suggests that transparency strategies may mitigate the trust deficit. Employees who explain their AI use and demonstrate final ownership of work tend to retain more supervisor confidence.
The broader implication is that AI adoption requires a cultural shift. Organizations need clear guidelines on when and how AI is acceptable. Without these, employees face a dilemma: use AI for efficiency or hide it to protect their career. The study calls for training programs that teach workers to integrate AI responsibly while maintaining professional credibility.
Frequently Asked Questions
Does using AI at work really affect promotions? Yes, the study indicates that supervisors may view heavy AI reliance as a competence signal. This perception can influence promotion decisions and project assignments.
How can employees protect their career while using AI? Transparency is key. Explaining AI use and showing final ownership of the work helps maintain supervisor trust.
What should companies do? Organizations should establish clear AI usage policies and provide training. This reduces ambiguity and helps employees integrate AI without damaging their professional standing.