Despite 89% of executives reporting AI has increased individual speed, only 6% can point to clear org-wide ROI. IDC Research VP Wayne Kurtzman and Atlassian's Liz Fosslien identify the 'fragmentation tax' — the hidden cost of siloed AI adoption — as the core problem. Key barriers include lack of integrated tool stacks, poor data foundations (only 22% of workers fully trust AI accuracy), and insufficient time for experimentation. IDC data shows companies with 7–15 integrations in their collaboration stack save 30+ hours per person per week. The recommended path forward is AI orchestration: standardized, cross-functional AI deployment with proper governance, data context, and organizational culture change — including dedicated time for employees to 'play' with AI tools.

6m read timeFrom atlassian.com
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Why is AI making individuals faster but not organizations?What are the biggest barriers to AI orchestration for CIOs?Implementing AI org-wide, where can CIOs start?