ai
Policy Convergence and Divergence Across National and Within Regional AI Strategies: A Policy Design Element Analysis
- Source
- arXiv — Computers and Society
- Published
- Last verified
- 12 Aug 2026
- Confidence
- Moderate
- Evidence
- Original document retained
- Reading time
- 1 min
- Country
- International
- Relevant to
- Policy & Regulation, Executive Leadership, Strategy & Planning, Technology & Data, Research & Evidence
Executive summary
What happened, and why should leadership care?
The research by arXiv examines national and regional AI strategies to identify convergences and divergences in policy design elements. The study analyzes 74 national and 3 regional AI strategies, noting a gap in existing literature regarding the horizontal (country-to-country) and vertical (region-to-country) evolution of these policy elements over time.
Why this matters
Why is this strategically important?
Understanding the commonalities and differences in AI policy design across nations and regions is crucial for anticipating future regulatory landscapes and fostering international collaboration. This analysis can inform the development of more robust and globally harmonized AI governance frameworks, mitigating potential fragmentation and ensuring effective global AI development.
Key insights
What should be noted from the evidence?
- Governments globally are developing national and regional AI strategies in response to AI expansion.
- The study aims to identify common practices and regional variations in AI policy.
- It addresses a gap in understanding how AI policy design elements converge or diverge over time.
- Analysis includes 74 national and 3 regional AI strategies from UN member states.
Evidence and confidence
How far can this assessment be trusted?
Moderate confidence. Provenance established; supporting evidence remains partial.
Analysis is prepared editorially by Aziz Shuaib Ausi. The original publication remains the authoritative record, and executive judgement remains entirely human.
Source
Where does this originate?
Reported by arXiv — Computers and Society · International. This briefing summarises the publication for executive use; the document itself is not reproduced here.
Read the original publication