Egypt National Artificial Intelligence Strategy Second Edition (2025-2030)
The Second Edition of Egypt's National Artificial Intelligence Strategy (2025-2030) sets out a comprehensive roadmap to establish Egypt as a regional and global AI leader by focusing on six strategic pillars: governance, technology, data, infrastructure, ecosystem, and talents. It details actions for developing indigenous Arabic large language models, robust data governance frameworks, green computing facilities, and increasing local AI talent and startup investments. Ultimately, the strategy aims to boost the ICT sector's contribution to GDP, enhance sectoral efficiencies in areas like healthcare and agriculture, and ensure safe and responsible AI adoption.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, government officials, researchers, industry leaders, and investors seeking to understand or contribute to Egypt's national AI development and regulatory direction.
What the document contains
The document comprehensively covers Egypt's strategic intent, governance frameworks, data security and privacy measures, infrastructure expansion plans including domestic data centers and green computing, startup and investment ecosystem supports, and talent cultivation programs across a five-year horizon from 2025 to 2030.
Detailed binding legal texts or complete operational bylaws for every sector are not finalized within the document, as it serves as a high-level strategic roadmap and blueprint pointing to pending legislation.
- The strategy builds upon Egypt's first AI strategy launched in 2021, adapting to disruptive technologies like generative AI and large language models.
- Six core pillars form the blueprint: Governance, Technology, Data, ICT and AI Infrastructure, Ecosystem, and Talents.
- The plan targets increasing the ICT sector's contribution to GDP to 7.7% by 2030 and expanding local AI professionals to 30,000.
- Egypt aims to develop national Arabic large language models and prioritize high-impact use cases across sectors like healthcare, education, and agriculture.
- Implementation relies on 21 distinct national initiatives monitored through a Capacity Assessment Framework (CAF).
1. Context 2. Executive Summary 3. Background 4. AI in Egypt 5. Strategy Overview 6. AI Strategy Blueprint 7. Implementation Roadmap 8. Monitoring and Evaluation 9. Conclusion and Next Steps
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
The Center for Responsible AI focuses on ensuring that the development and deployment of AI technologies are aligned with ethical standards, fairness, transparency, and accountability.
7.3.1.1 Initiative 1
screening score · 2026-10-23
Fairness
4/5Non-discrimination and equitable treatment
The regulatory structure must include not only technological requirements and data protection but also oversight of AI decision-making processes to minimize algorithmic prejudice and bias.
7.3.1.1 Initiative 1
screening score · 2026-10-23
Human Dignity
4/5Respect for the inherent worth of persons
Our ultimate objective is to empower the Egyptian citizen, equipping future generations with the skills to harness modern technology to serve society and fulfill our aspirations for the future.
Statement from the President of the Republic
screening score · 2026-10-23
Human Oversight
1/5Humans remain in control of consequential decisions
Virtual Legal Aid guided by applicable laws and judicial precedence
6.2 Technology Pillar
screening score · 2026-10-23
Privacy
4/5Protection of personal data and private life
Stringent data security measures will be implemented to protect sensitive and private data. This may include encryption, access controls, data anonymization techniques
6.3 Data Pillar
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
Mandate regular disclosure of data analysis and distribution reports. 3. Implement policies for user access to personal data.
7.3.3.4 Initiative 9
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
Develop guidelines and standards for classifying AI system risks, identifying, and assessing AI capabilities of AI actors, and understanding and managing the interconnections between these actors.
7.3.1.1 Initiative 1
screening score · 2026-10-23