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.

Practical lessons for leaders redesigning teamwork in an AI-first era

Without clear expectations, AI adoption and outcomes may be limited. This Team Playbook Play helps align your team on why, when, and how to use AI so it becomes a seamless, trusted part of your workflow.

Atlassian spent nearly two years running its own enterprise AI transformation before it began selling the results. The company treated AI adoption as a company-wide effort, building and deploying agents across sales, HR, and finance, and rigorously tracking outcomes. What emerged is a playbook grounded in operational experience.

We improved across the board — and our Vision and Innovation scores tell a bigger story about where SPM is heading. We’re proud to share that Atlassian has been recognized as a Strong Performer in The Forrester Wave™: Strategic Portfolio Management Tools, Q2 2026. But the placement is only part of the story. We have evolved.

AI-powered workplaces have a huge and often unmet need for the soft skills of communication, emotional intelligence, trust building, and social awareness, say experts in the field. The introduction of AI should be a people-led change, rather than one driven by the technology, says Avani Prabhakar, who is in charge of technology giant Atlassian’s transformation.

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.

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

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

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

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

Forrester surveyed CIOs and IT leaders on what it really takes to build a modern, AI‑ready digital workplace, uncovering gaps, opportunities, and practical next steps.

Meaningful steps organizations can take to support wellbeing, bolster resilience, and set the stage for leaders to thrive.

Getting input from your team about their capacity, strengths, and preferences makes it easier to loosen your grip.

If you were asked for examples of “meaningful work,” what comes to mind? Roles like paramedic, teacher, or humanitarian aid worker might be some common.

Though well-intended, extreme optimism can hurt more than it helps. Here’s how you can trade false reassurance for true resilience.

One person’s knowledge isn’t enough to execute the work that really matters. Even your team can’t go it alone. To make great things happen, your.

When teams learn by doing, AI stops feeling abstract and starts driving real behavior change, from higher usage to stronger everyday skills.

Use these strategies to align expectations, streamline communication, and crush your goals.

Five steps to shift from annual goal setting to a quarterly refresh rhythm for better results.

Loom resolved over 80% of support inquiries with AI and reduced the likelihood of churn by 11% – transforming support into a growth driver.

Leadership Circle implemented AI-first customer support to serve 3 million customers across 17 languages — achieving a 71% AI resolution rate.

Assign work items directly to Cursor from Jira, your agent orchestration platform

Last month, we introduced Agentic Pipelines, a new way to orchestrate AI agents to automatically, and routinely, handle the repetitive engineering chores so you can.

Learn how Atlassian saved 839 hours in 28 days using AI Alert Grouping in Jira Service Management.

Introduction

Forge is Atlassian’s cloud app development platform. It’s a serverless, Atlassian-hosted environment that allows developers to extend products like Jira and Confluence.

Learn how Rovo’s collaborative AI canvas was engineered—unifying streaming, structure, and agent-powered workflows to build smarter content creation features.

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.

Atlassian’s Co-founder and CEO Mike Cannon-Brookes appears on The AI Daily Brief podcast to discuss what separates enterprise AI leaders from laggards.

Mercedes-Benz invented the automobile. Now they’re reinventing it — with software, AI, and Atlassian. With 50,000+ employees collaborating on Atlassian Cloud Enterprise, Mercedes-Benz has transformed from a traditional automaker into a high-performing software organization delivering software-defined vehicles at scale.

Advancing modern teamwork

AI thinking and product news to unleash the potential of teams.