The “Trends & data” section of OECD.AI aims to help policy makers develop, implement and improve policies for AI. To do so, OECD.AI showcases AI-related data and metrics over time from as many high quality sources and vantage points as possible to allow countries and stakeholders to compare policy responses, engage in international co-operation, monitor progress and develop best practices.
The below notes aim to provide a full and transparent account of the sources and methodology used to construct the “Live data” visualisations on OECD.AI:
- AI news: Event Registry
- AI research: OpenAlex | Elsevier (Scopus)
- AI jobs and skills: LinkedIn | Adzuna
- Investments in AI and data: Preqin
- AI software development: GitHub
- AI education: Studyportals
- AI search trends: Google Trends
- AI demographics: Stack Overflow Survey
- AI knowledge flows: Stack Overflow
- AI models and datasets: Hugging Face | AIKoD | Artificial Analysis
- AI compute: Oxford Innovation
- Scaling factors: GDP and population