Saudi Data & AI Authority: Strategy Refresh
The National Data & AI Strategy (NSDAI) of Saudi Arabia provides a comprehensive roadmap for transforming the Kingdom into a global leader in data and artificial intelligence by 2034. It outlines five core pillars spanning sovereign infrastructure, national data management, digital platforms, AI applications, and sector enablement, containing 17 strategic objectives. Led by the Saudi Data and AI Authority (SDAIA), the strategy sets concrete targets for talent development, open data expansion, super app adoption, and national AI readiness.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Government entities, public sector bodies, businesses, and researchers interested in Saudi Arabia's national roadmap for data and AI adoption.
What the document contains
The strategy covers national digital infrastructure, data governance maturity, government digital platforms and super apps, sovereign AI technology development, talent building, AI ethics and safety, R&D ecosystems, and investment promotion.
The text does not contain detailed technical definitions, binding compliance penalties, or specific sector-by-sector regulatory codes outside of general governance objectives.
- The National Strategy for Data and Artificial Intelligence (NSDAI) aims to position Saudi Arabia among the top 10 smart nations globally.
- The strategy is built across five pillars: sovereign and secure infrastructure, national data management, digital platforms and services, AI applications and products, and sector enablement.
- Implementation is guided by SDAIA through 2034 with measurable targets, such as training up to 55,000 data and AI specialists.
- SDAIA oversees the strategy through its constituent entities including the National Information Center, National Data Management Office, and National Center for Artificial Intelligence.
· 1. Introduction and Strategic Context · 2. Evolution of the National Data & AI Landscape · 3. Strategic Pillars and Objectives · From Strategy to Implementation
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
1/5Clear responsibility for AI outcomes
Implementation will be led by SDAIA and relevant national entities, with progress tracked through the strategy’s performance management framework
From Strategy to Implementation
screening score · 2026-10-23
Fairness
0/5Non-discrimination and equitable treatment
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-23
Privacy
1/5Protection of personal data and private life
Strengthen the data regulatory environment to enhance governance and maximize the value of data as a national asset
3. Strategic Pillars and Objectives
screening score · 2026-10-23
Transparency
0/5Openness about how AI systems work and are used
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
Enhance compliance with national data regulations through oversight and awareness mechanisms
3. Strategic Pillars and Objectives
screening score · 2026-10-23
Impact Assessment
1/5Required assessment of an AI system's risks/impacts before or during use
promote responsible AI governance and use
2. Evolution of the National Data & AI Landscape
screening score · 2026-10-23