Scaling AI Fails Without the Right Organisational Model, Experts Warn
While deploying AI has become faster and more accessible, many organisations struggle to convert short-term experiments into lasting capability. A 2026 Deloitte report found that nearly three-quarters of technology leaders expect their operating model to change within 12 to 18 months, highlighting a gap between deployment confidence and organisational readiness. Experts argue that AI scales not through technology alone but through a structured operating model covering decision rights, ownership, governance, delivery, capability-building, and feedback loops. Without such a model, independent team pilots often lead to fragmented tools, inconsistent data handling, and successful experiments that never become repeatable practice. The core challenge has shifted from asking whether AI can be used to whether an organisation can absorb and sustain it responsibly.
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