A recent controlled study by Atlassian reveals that while nearly all US knowledge workers use AI and most disclose it openly, admitting AI assistance carries significant workplace penalties, including being perceived as lazier and less trustworthy by colleagues.
- 94% of US knowledge workers used AI recently, with 80% fully transparent about it
- Disclosure of AI use leads to perceptions of laziness and fewer project recommendations
- AI-positive workplace cultures can mitigate stigma and improve trust in AI users
What happened
Atlassian’s Teamwork Lab conducted a controlled experiment involving 961 US knowledge workers alongside a pulse survey of 1,006 participants to examine attitudes toward AI use at work. Participants evaluated identical written work where AI use was the only difference disclosed. Findings showed that even with identical outputs, colleagues rated AI-assisted work authors as significantly lazier and less principled.
Nearly all workers recently used AI tools and were transparent about that use, but those who disclosed AI assistance faced a professional stigma. They were 24 percentage points less likely to be recommended for high-visibility assignments, indicating a disconnect between widespread adoption and cultural acceptance.
Why it matters
The study highlights a major cultural challenge as AI becomes embedded in workplace processes. Despite technology adoption being nearly universal, traditional workplace norms have not evolved to comfortably accommodate AI transparency. This results in honest employees being unfairly judged and penalized, which undermines morale and creates contradictions in organizational AI strategies.
If openness about AI use leads to negative perceptions, employees may hide their use, preventing organizations from learning about AI integration successes or failures. This lack of open dialogue hinders the ability to scale effective AI adoption and improve team outcomes, posing a strategic risk beyond just employee experience.
What to watch next
Efforts by corporate leaders to foster AI-positive cultures will be critical. Firms that actively celebrate AI use and normalize it as a collaborative tool rather than a shortcut show reduced stigma for AI users and improved perceptions of efficiency. Watching how teams and leaders model this behavior will reveal which companies successfully navigate the culture shift.
Further research and organizational case studies on the impact of leadership in shaping AI work culture will be important. Observers should track the development of shared norms around AI disclosure, how recommendations and project assignments respond over time, and whether honesty about AI use transitions from a liability to an asset in typical workplace settings.