It’s not a simple riddle to crack.

Last year, Gartner reported that 92% of CIOs expected AI to be implemented by the end of 2025. Now, it predicts 60% of AI projects without AI-ready data will be abandoned by 2026.

Unlike previous technology waves, AI readiness is more than adopting tools. It demands a rethink of operating models, alignment with business outcomes, and embedding cultural permission. Above all, it means creating environments where AI delivers value, not complexity.

The organisations that thrive will weave AI into strategy, operations, and culture, making innovation practical, responsible, and scalable.

Here are four areas ripe for investigation:

1. Cloud echoes

In some ways, the journey to AI readiness echoes the ghosts of cloud transformations past. For more than a de

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