While nearly all US knowledge workers use AI regularly, being open about AI assistance leads to harsh judgments from colleagues, according to recent research by Atlassian’s Teamwork Lab.
- 94% of US knowledge workers used AI recently; 80% disclose this openly
- Disclosing AI use leads to 10x higher ratings for laziness and fewer project recommendations
- AI-positive cultures greatly reduce stigma and increase trust in AI users
What happened
Atlassian’s Teamwork Lab conducted a controlled experiment in early 2026 with 961 US knowledge workers to examine the workplace impact of AI disclosure. Participants evaluated identical work products, with only the attribution of AI assistance varying. When informed that AI was involved, workers rated the creator as less diligent, less principled, and less deserving of high-visibility tasks.
Complementing this, a survey of 1,006 knowledge workers confirmed widespread AI adoption—94% reported AI use in the past month and nearly 80% were transparent about it with colleagues. Despite this openness, disclosing AI use carried significant social penalties, highlighting a disconnect between AI usage and acceptance.
Why it matters
The data reveals a critical cultural gap in the evolving AI landscape at work. While technological uptake is nearly universal, organizational and peer attitudes lag, creating a paradox where honesty about AI use incurs penalties. This dynamic impedes open dialogue necessary for managing AI integration effectively.
This stigma threatens strategic AI initiatives by discouraging transparency and collaboration. When employees conceal AI use to avoid negative judgments, companies lose opportunities to identify best practices, monitor risks, and fully leverage AI-driven efficiencies. The issue is fundamentally social and cultural, not technological.
What to watch next
Organizations aiming to bridge this cultural divide should foster environments that celebrate AI as a shared tool for teamwork and client support rather than a shortcut. Evidence shows that framing AI use positively and visibly modeling it at leadership levels can reduce stigma significantly and boost trust in AI-enabled workers.
Progress will also depend on extending AI-celebrating cultures beyond tech-centric sectors into broader workplaces. Tracking changes in peer attitudes over time and identifying cultural interventions that promote healthy AI norms will be key. Without such leadership-driven shifts, the ‘AI contradiction’ identified by Atlassian is likely to persist.