Reading AI Readiness Backwards

2026

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AI-generated summary

1) This report argues that AI readiness needs to be understood differently once adoption is already underway, shifting focus from preparation to identifying binding conditions and necessary capabilities for steering AI towards public value.
2) * Examines how AI adoption is already integrated into public institutions, markets, and systems, often before formal strategies are in place.
* Identifies six recurring patterns that become critical once AI adoption begins, including the role of political attention, systems of adoption, data, foundations, ecosystems, and governance.
* Provides a practical framework for assessing AI adoption by focusing on the implementation conditions that shape outcomes, rather than just pre-adoption readiness.
3) AI adoption, readiness, governance, sustainable development, country experience

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