Only 6% of companies see a real Return on Investment from AI. The rest buy licenses, burn through tokens, and confuse faster individual coding with actual business value. Speeding up an individual developer is meaningless if team workflows and PR reviews stay completely unchanged.
On the MarsBased podcast, Àlex Rodríguez Bacardit joins Sven Peters, AI Evangelist at Atlassian, to tackle why most corporate AI implementations fail. Since every company has access to the exact same underlying LLMs, your true competitive edge relies on internal context, documentation, and codebase history, not simply upgrading to newer models.
They explore how active leadership usage makes engineering teams four times more likely to adopt AI long-term, while highlighting how Atlassian measures genuine DevX impact instead of tracking wasted token budgets.
Follow Sven Peters on LinkedIn: https://www.linkedin.com/in/svenpeters73/
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