Only five of the 73 economies assessed - Canada, China, Singapore, the United Kingdom and the United States - are classified as pioneers in AI. They have reached a high level of readiness by blending factors such as investment and infrastructure to turn disruption into competitive advantage. They are uniquely positioned to lead the world in innovation, talent development, AI regulation and ethics. Some economies with high AI readiness are only lagging behind the pace of AI pioneers. While this group of AI competitors includes mature economies, it also includes emerging economies such as India, Saudi Arabia, and the UAE, which are using policies and targeted investments to adopt advanced AI. As these economies continue to innovate, they will become more competitive and influential in the field of AI. Most economies in the study are not ready for the disruption that AI will bring. More than 70% of companies scored below the median in areas such as ecosystem participation, skills, and R&D. Policymakers must take immediate action to adapt to the world of AI and improve resilience, productivity, employment, modernization, and competitiveness. The relationship between exposure and preparation Expectations are high for the future of AI. Today’s adoption is already delivering efficiency gains and returns on investment. Businesses that are scaling AI are seeing 2.5 times more revenue growth than their competitors. Across the economy, such potential gains elevate AI to an area of urgent policy development. Prototypes of AI adoption A comprehensive analysis of AI exposure and readiness reveals six distinct adoption groups: Artificial Intelligence Pioneer Stable competitor A rising competitor Exposed Practitioners Progressive Practitioner Those with very low AI readiness How Singapore became a pioneer in artificial intelligence Despite its small population, Singapore is a notable example of AI adoption due to the government’s successful strategy in AI, including talent, regulation, innovation, and investment.
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