AI Preparedness Index (AIPI) assesses the level of AI preparedness across 174 countries, based on a rich set of macro-structural indicators that cover the countries’ digital infrastructure, human capital and labor market policies, innovation and economic integration, and regulation and ethics.

Source data include official data, surveys of hard data and surveys of perceptions compiled by 8 institutions: Fraser Institute, International Labor Organization, International Telecommunication Union, United Nations, United Nations Conference on Trade and Development, Universal Postal Union, World Bank, and World Economic Forum.

As described in the index documentation and the published paper, the AIPI is the sum of four key dimensions: digital infrastructure, human capital, technological innovation, and legal frameworks. These four dimensions are likely relevant for smooth AI adoption. In turn, each dimension is computed by normalizing and averaging a rich set of sub-indicators including, but not limited to, the presence of relevant digital infrastructure, sustained human capital investment, inclusive STEM expertise, labor and capital mobility, a vibrant R&D ecosystem, and the adaptability of legal frameworks to digital business models.

How to use the AIPI:

1. Be aware that the index incorporates several perceptions-based indicators, reflecting individuals' subjective assessments and experiences. Therefore, the index should be seen as an indicative measure, guiding policymakers in identifying areas for improvement rather than being used for ranking purposes.

2. Note that the focus is on AI adoption preparedness (rather than on invention leadership), which allows for comparability of the level of preparedness across all economies.

3. Recognize that measuring AI preparedness is challenging because the institutional requirements for economy-wide integration of AI are still uncertain.