How is AI enhancing productivity and driving economic growth across various sectors? ‘A sectoral taxonomy of AI intensity’, a working paper published by the OECD in 2024, focuses on measuring AI intensity across different sectors. The study reveals significant variation among sectors and indicators.

In this research, the authors decompose AI intensity into four key factors: the demand for AI-skilled workers, the creation of AI technologies and tools, tasks exposed to AI, and the adoption of AI. IT services, media, and telecommunications rank high in AI intensity. Conversely, industries such as textiles, food, and construction exhibit low AI intensity.

The authors note that this does not necessarily imply that these sectors are lagging behind. Instead, it may reflect specific technological needs or barriers unique to these industries that need to be addressed. The situation could change in the future with advances in automation unlocking greater potential for AI.

The study offers crucial insights for both business leaders and policymakers. The road ahead appears to be multifaceted and dynamic as different sectors find their own unique paths in the age of AI, driven by their specific needs, capabilities, and challenges.

Find out more about this study on OECD’s Website.