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AI at Work

Article in AI at Work

Why individual AI speed isn’t delivering the ROI CIOs expected

89% of executives say AI has increased speed. Only 6% can point to org-wide ROI. IDC’s Wayne Kurtzman and Atlassian’s Liz Fosslien unpack what’s missing – and where CIOs should start. Everyone on your team is faster. So why isn’t your organization moving further? That’s the provocation at the center of a recent fireside chat […]

Article in AI at Work

New research reveals how AI is making jobs bigger

New research from Atlassian’s Teamwork Lab finds that the more people use AI, the more their capabilities expand—suggesting AI is broadening what workers can do, not simply replacing them.

Article in AI at Work

AI made your people faster. But it’s your office that’s slowing them down.

AI made individuals faster, but your office is still designed for the old bottleneck. Atlassian research reveals a new framework for the AI-enabled office.

Article in AI at Work

Atlassian’s guidelines for writing with AI

How should we use AI to write? AI is a helpful tool but, without guardrails, its writing can fall flat. We joke about AI tells like em-dash overuse and “it’s not X, it’s Y,” but issues with over-reliance on AI writing go deeper. On Atlassian’s Brand team, these areas are top of mind. We want […]

Article in AI at Work

Transforming teamwork: Unlocking AI-driven success in cloud

Moving to cloud is a major step forward. What happens next — how teams plan, share, and use AI together — is what separates leaders from the rest.

Article in AI at Work

Three ways Atlassian’s Learning Team uses AI, and one way they won’t

The best way to get value out of AI is to scale at the team level, but while 85% of workers use AI, only 29% have embedded it into team workflows. The Atlassian Learning Team is in that 29%, and the lessons they’ve learned are a model for teams of all types. They shared three […]

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Your Jira Board just got a new kind of teammate

AI agents are now first-class teammates in Jira. Here’s how to assign, mention, and automate them directly in the workflows your team already uses.

Article in AI at Work

New research shows honesty about AI use at work is backfiring

New research from Atlassian’s Teamwork Lab finds that workers who disclose using AI are judged as 10x lazier than peers doing identical work, unless their company has built a culture that celebrates it.

Article in AI at Work

Teaching AI to speak our design language

Atlassian’s use AI to design and build every day, but AI tools are only as good as the context they have. We translated the Atlassian Design System’s documentation content into machine-readable schema files to deliver context to agents using ADS MCP, Skills and more to improve their accuracy and generation speed while reducing AI token costs.

Article in AI at Work

Stop counting who uses AI. Start finding who’s transforming with it.

At Atlassian, we’ve gone through three evolutions of how we measure employee AI adoption. Each time we changed the metrics, we learned something telling about what the old numbers were hiding.

Article in AI at Work

The AI-native SDLC is paying off: 19% more PRs and 2–3 hours saved per developer per week

Reimagining software development around an AI-native SDLC AI is now a core part of how software gets built. 93% of developers use AI tools and nearly 30% of code is AI-authored [source]. Code generation has been the first breakout use case for developers but it is not the end of the story. The next chapter […]

Article in AI at Work

Atlassian Design System: Building the context engine for the AI era

Design systems are no longer ‘just’ about consistent UI and component libraries. They’re strategic capabilities that harness design intent, drive coherence and accelerate a team’s ability to innovate. Here’s how the Atlassian Design System (ADS) is evolving to be a full stack context engine to meet the demands of an AI-native future.