AI
How top teams make AI work together
Atlassian's State of Teams 2026 finds that only a minority of teams turn AI into shared performance. The difference is coordination through context, workflows and culture, not more individual tooling.
Outcome we help: Stop individual-AI sprawl; make AI a team capability.
What the report found
14%
Teams that have cracked the AI ROI code with ways of working grounded in context, workflows and culture
Atlassian State of Teams 2026 blog
5.6x
More likely that these top teams say AI helps them better plan and prioritise work
Atlassian State of Teams 2026 blog
9.4x
More likely that these top teams say AI increases collaboration
Atlassian State of Teams 2026 blog
2.3x
More likely that these top teams fully trust AI to surface and contextualise relevant information
Atlassian State of Teams 2026 blog
55%
Executives who say AI is widening performance and opportunity gaps between teams
Atlassian State of Teams 2026 blog
What it means for leaders
- AI ROI shows up when teams share context, workflows and culture, not when individuals just work faster alone.
- Uneven AI adoption widens the gap between teams. Leaders need a deliberate coordination design.
- Planning, prioritisation and collaboration are where the gains sit, not more standalone copilots.
What to do on Monday
Start here: Name the shared context one critical workflow needs (decisions, owners, constraints) and place it where the team already works; track one team outcome (cycle time, rework or priority conflicts) beside any productivity claim.
- Pick one handoff where AI output creates review backlog, and redesign that step for the team, not the individual.
- Ask each team which of context, workflow or culture is weakest, and close that gap first.
Try it in an open workspace
Free tools with sample data. No account.
Source
The State of Teams 2026: How top teams avoid the fragmentation tax and use AI to work better together, Atlassian (Teamwork Lab), 2026. Read the original report or Supporting report