While nearly all developers report substantial time savings from AI-assisted workflows, half still lose an equivalent amount of time to non-coding organizational friction, highlighting a disconnect between AI adoption and operational efficiency.
- 99% of developers report time savings from AI tools
- 50% of developers lose 10+ hours weekly to organizational inefficiencies
- 63% of developers feel leaders don’t understand their pain points
What happened
Atlassian’s 2025 survey, covering 3,500 developers and managers across six countries, shows a dramatic shift in AI’s role in software development. Nearly all developers experienced measurable time savings due to AI tools, with a majority saving more than 10 hours per week, mainly from non-coding tasks. This marks a significant increase in AI productivity benefits compared to 2024.
In parallel, the survey highlights that developers still lose a significant amount of time to organizational friction. Half of all developers report losing over 10 hours weekly to inefficiencies including difficulties in finding documentation, adapting to new technologies, and frequent context switching between tools. These friction points have persisted despite the rise of AI assistance.
Why it matters
The findings emphasize that while AI tools empower developers by automating routine tasks, they do not automatically resolve underlying organizational challenges. Time saved through AI is only valuable if it enables developers to focus on more impactful work like improving code quality and building new features, but ongoing inefficiencies counterbalance these benefits.
Additionally, the report reveals a widening empathy gap between developers and leadership. 63% of developers feel their leaders do not understand the friction they experience daily, a sharp increase from previous years. This disconnect risks creating unrealistic expectations for faster delivery without addressing root causes of wasted time.
What to watch next
Organizations aiming to maximize AI-driven productivity gains should prioritize uncovering and addressing actual developer pain points outside of coding, such as improving documentation access, reducing unnecessary tool switching, and streamlining cross-team collaboration. This requires direct dialogue with developers and systematic efforts to reduce friction.
Future research and industry trends will likely focus on integrating AI tools more holistically across the software development lifecycle, emphasizing not only automation but also improving developer workflows and aligning leadership understanding with frontline realities to unlock sustained performance improvements.