Teams | Collaboration | Customer Service | Project Management

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 entire organization must pool their cognitive resources. Sharing knowledge improves innovation, creativity, and productivity for everyone. Without it, information gets trapped within departments, teams, and individuals’ brains (the dreaded silos).

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

Change doesn’t just happen. It takes planning and participation – and sometimes a little push.

The AI-native workforce is about to change everything.

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

The most underrated team productivity hack? AI playtime.

Tracking goals, competing priorities, and why transparency isn’t the finish line.

Job openings are on the rise for workers with AI know-how, despite decreased overall hiring in tech.

AI is the future of work. It can also be exhausting.

This story is based on an interview with Harry Stebbings on the 20VC podcast. You can listen to the episode here. Ever stare at your washing machine and wonder, “Why is this so complicated?” Mike Cannon-Brookes does. After more than two decades building Atlassian, he’s convinced that progress depends on being a little “unreasonable”: challenging the status quo, redesigning what doesn’t work, and empowering others to do the same.