What a $42B Software Co. Really Spends on AI Tools @WeightsBiases
What a $42B Software Co. Really Spends on AI Tools  @WeightsBiases
Uploaded January 2026 | Updated September 2026, 2 weeks ago
Most CEOs want to grow faster, but Mike Cannon-Brookes built a $42B company by deliberately growing slower.

In this episode, we sit down with the Atlassian co-founder who's been running one of tech's most unconventional companies for 24 years: no sales team, no hypergrowth obsession, and a belief that AI won't replace developers.

Here's our key takeaways:
• Devs feel more productive with AI, but the data shows they're often not
• 2026 will see more junior devs because AI makes them more valuable than ever
• Treat AI like an intern that needs feedback, not a replacement that works autonomously
• How Atlassian uses a 100-billion-connection teamwork Graph to give AI organizational memory that generic LLMs lack.
• 20% growth for 20 years beats 200% growth for 2 years. 

If you're spending thousands per developer on AI tools but can't prove the ROI, this conversation will change how you think. Watch the full conversation.
What a $42B Software Co. Really Spends on AI ToolsProtect your AI applications from risk and uncertainty with W&B Weave GuardrailsWhy Mathematicians Can’t Look Away From Axiom’s AILambda Labs David Hall on partnering with Weights & BiasesEvaluating AI applications using W&B WeaveCuring Every Disease With Al by 2050 | Sam Rodriques, Edison ScientificThe $2B Company Cutting AI Costs By 60% | Tuhin SrivastavaShe Raised $64M to Build an AI Math Prodigy | Carina Hong, CEO of AxiomUsing MCP to analyse your experiments & create reports in natural languageAtlassian’s Most Controversial Growth Decision | Mike Cannon-BrookesInside the $41B AI Cloud Challenging Big Tech | CoreWeave SVPAccelerate LLM post training with W&B Serverless SFT
Weights & Biases |

What a $42B Software Co. Really Spends on AI Tools

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER