Atlassian CEO Mike Cannon-Brookes discusses how enterprises can become *AI-native* by balancing *context* acceleration with *intelligence* gains. He emphasizes that *context graphs* (like Atlassian's Teamwork Graph) and agentic features are crucial for moving AI beyond chat into natural workflows, while also addressing enterprise security and adoption challenges. The conversation highlights the need for cultural shifts, token cost understanding, and a dual approach of supporting current workflows while enabling future ones.
Summarized by Podsumo
Mike presents the formula 'intelligence × context' for business acceleration, arguing that enterprise AI leaders focus on enriching organizational context through tools like the *Teamwork Graph*, which now includes code semantics, people skills, and physical assets.
Security, compliance, and data residency are major bottlenecks, with tools like DIA browser requiring enterprise controls before widespread use. Leaders emphasize *thoughtful, heavy* adoption rather than aimless piloting.
AI will shift from chat-based interfaces to embedded design experiences across platforms, making AI accessible to non-engineers without requiring prompt engineering.
Atlassian supports current workflows (e.g., AI writing assistance in Confluence) while also introducing new capabilities (e.g., CLI and MCP server for agents) to help teams adapt incrementally.
Leading organizations measure *throughput and output quality* rather than raw token consumption, using tools like DX to gauge AI native adoption and engineering productivity.
"_'We try to promote that loop at Atlassian... you have to give them time and space and joy to play, to try it.'_ — Mike Cannon-Brookes"
"_'Acceleration for your business is about intelligence multiplied by context.'_ — Mike Cannon-Brookes"
"_'We're going to start to see AI move beyond chat... I think that's the most exciting is the design era of AI bringing these technologies and powerful tools to everyday users.'_ — Mike Cannon-Brookes"