AI-native teamwork has arrived, and the enterprise that controls context might very well control everything else.

That theme came through clearly during this week’s Atlassian Team event in Anaheim, California, where Atlassian Corp. Chief Executive Officer Mike Cannon-Brookes framed the Teamwork Graph — a unified map of organizational relationships and work data now spanning more than 150 billion connections — as the tissue linking knowledge across the enterprise. His description of the industry witnessing “the birth of a new species” points to a larger shift: Context, not raw compute alone, will define the next wave of enterprise advantage, according to Christophe Bertrand (pictured, right), principal analyst at theCUBE Research. But the implications for how enterprises compete, collaborate and scale are only beginning to come into focus.

“The play for Atlassian is to really provide that connective tissue between what was and what will be — between the people and AI — and really do that in a way that’s also very open,” Bertrand said. “I noted [from the keynote] the AI Gateway, which is another thing they’re working on to really bring together internal and external models and make it easier for any organization to converse in AI and leverage AI to the maximum.”

Bertrand spoke with theCUBE’s Alison Kosik (left) as part of a day two keynote analysis at the Atlassian Team event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed highlights from the Atlassian keynote, including the Teamwork Graph, agentic AI use cases and what becoming an AI-native organization demands in practice. (* Disclosure below.)

AI-native teamwork is outpacing adoption, and the data proves it

Amid broad enthusiasm for AI automation, the keynote injected deliberate realism into the conversation. Cannon-Brookes acknowledged the path to an AI-native organization will be messy, Bertrand noted. The goal is not to sanitize chaos, but instead to give the enterprise a nervous system capable of handling it. The standout real-world example was Atlassian’s onboarding agent, NORA, built by HR staff rather than engineers — a signal that agentic AI is widening access to automation well beyond technical teams. The keynote’s defining line, however, cut to the heart of Atlassian’s entire product thesis, according to Kosik.

“Atlassian CEO [Mike Cannon-Brookes said], ‘Intelligence is the engine; context is the fuel,’” Kosik said. “That’s an important part of the conversation.”

That exact conversation is backed by data that makes the stakes difficult to ignore. Atlassian’s own “State of Teams 2026″ report bears out the urgency: 85% of knowledge workers use AI, but only 29% have embedded it in their actual flows of work. That gap between experimentation and execution is precisely what Atlassian’s platform is designed to close, Bertrand noted. But for organizations serious about AI-native teamwork the window for hesitation is narrowing fast.

“I would love to be able to have this conversation a year from now and say, ‘Hey, what have we seen in this past year?’ My suspicion is that we’re going to be blown away by how quickly things will have happened,” Bertrand said. “We’ll probably see a lot of interesting new use cases that we can’t even come up with right now.”

Stay tuned for the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the Atlassian Team event.

(* Disclosure: TheCUBE is a paid media partner for the Atlassian Team event. Sponsors of theCUBE’s event coverage do not have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE