Workplace divides created by AI and how to combat them
Check out our previous research findings on the impacts of AI adoption from a survey of 4,000 knowledge workers across the UK, USA, Canada, and Germany.

We’re seeing a shift in how work gets done and how people connect and communicate. Evidently, AI can make us more efficient and articulate, but it also risks eroding some soft skills and driving a wedge between human interaction.
| Skill | % of respondents reporting growth in the skill thanks to AI |
|---|---|
| Writing | 62 |
| Critical thinking | 47 |
| Design | 41 |
| Coding | 38 |
| Positive outcome | In a pro-experimentational culture | Not in a pro-experimentational culture |
|---|---|---|
| Skill development | 89% agreed | 59% agreed |
| Greater job satisfaction | 54% agreed | 8% agreed |
| Improved team collaboration | 68% agreed | 23% agreed |
| Return on investment from AI | 73% agreed | 36% agreed |
The key to achieving a culture where AI use remains healthy and work-conducive is one which encourages responsible AI experimentation, and has a framework for measuring success.
Interactions with AI can feel more private, contained and forgiving, giving employees space to vent frustrations, explore ideas or rehearse difficult conversations without fear of damaging performance reviews or workplace reputations.
