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Molly Sands

As seen in: Atlassian, Diginomica, COMPUTERWOCHE, Economie Matin, CIOL, CXOtoday, IT Brief UK, CFOtech UK, ChannelLife UK, DigiconAsia and
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Articles

You don’t need a team of AI experts. You just need one.

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By Molly Sands
| Atlassian
Every company investing in AI tools is asking the same question: how many people actually need to be good at this for it to make a difference? It’s a fair question. AI adoption is uneven. Some people use it constantly; others barely touch it. Leaders are left wondering whether the investment pays off unless everyone gets fluent, or whether a smaller critical mass is enough. My team, the Teamwork Lab, got a chance to test this at Atlassian.
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Your AI strategy is leaving billions on the table. Here’s what the best teams do differently

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By Molly Sands
| Diginomica Verified
Main content (©Andrii Zastrozhnov - canva.com) AI has finally delivered on its promise of speed. 89% of executives we surveyed say it’s making their teams work faster. So why can only 6% point to clear, organization-wide ROI? The paradox sits at the heart of Atlassian’s 2026 State of Teams report.
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Is AI flattening your team’s creativity? Here’s how to tell.

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By Molly Sands
| Atlassian
Think about your to-do list for a given work week. From responding to a colleague’s quick message to building a team strategy, how do you prioritize how much time and energy to allocate to each task? Behavioral science tells us most of us don’t optimize; we satisfice— we find the first “good enough” option, and we move on. The term, a mash‑up of “satisfy” and “suffice,” was coined by Herbert A. Simon, a mid‑century Nobel Prize–winning economist and sociologist who studied workplace decision making.
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