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AI at Work

Article in AI at Work

How AI is Changing Developer Workflows: Lessons From Engineers

AI writes the code. Engineers spend their day on everything else.

Article in AI at Work

Is AI flattening your team’s creativity? Here’s how to tell.

AI can make “good enough” thinking the default. Use this framework to spot the risks of AI over-reliance and decide when humans — not models — should lead.

Article in AI at Work

The AI efficiency paradox: What to do when AI boosts productivity but not results

Atlassian’s new State of Teams survey of 12,000+ knowledge workers shows AI is helping individuals work faster, but business results aren’t catching up. Here’s why that gap exists and what leaders can do about it.

Article in AI at Work

Inside Reddit’s IT playbook: Building for scale and AI-readiness

From tool chaos to trusted AI: how Reddit modernized IT for 4,000 employees

Article in AI at Work Confluence

How customers are using Confluence Agents to turn knowledge into action

Docs aren’t just records anymore — they’re fuel for agents that plan, collaborate, and ship with you.

Article in AI at Work

New grads are 1.5x more likely to use AI daily. Here’s why that matters for your hiring strategy.

Companies are cutting new grad hiring to save money. Atlassian research suggests they’re actually cutting their fastest path to AI adoption.

Article in AI at Work

Marketers: stop experimenting and start solving real-world problems with AI

How marketing managers can turn stuck moments into their most valuable AI use cases

Article in AI at Work

Beyond the Jira board: how autonomous workflows unlock engineering velocity

Engineering teams today are shipping more than ever. Sprint boards move quickly, work items are completed on schedule, and releases move forward with steady momentum. As engineering output scales, so does the time spent across the broader software development lifecycle (SDLC). Jira continues to play a critical role as the system for organizing, tracking, and […]