← Global AI Laws & Governance Research Library

Egypt
StrategyCurrent· National Council for Artificial Intelligence (NCAI)

Egypt National Artificial Intelligence Strategy 2025-2030 (Second Edition)

Prepared by Shubhank Suman · Last reviewed

CURRENT (national policy; not legally binding)

Legal character
Strategy
Region
Africa

What it covers

The strategy builds on Egypt's first National AI Strategy launched in May 2021. It sets a mission to create an AI industry supported by governance, talent and infrastructure, benchmarks other countries, analyses Egypt's position (including a SWOT analysis) and organises action under six pillars: Governance, Technology, Data, ICT and AI Infrastructure, Ecosystem, and Talent. It also covers an implementation roadmap, capacity assessment and expected results.

Why it matters

It is Egypt's top-level AI policy document and signals the direction of future AI regulation, data governance and public-sector AI adoption in Egypt.

Refer to it when

Use it to understand Egypt's AI policy priorities, planned governance and regulatory steps, data-governance plans, or the context for AI investment and public-sector AI projects in Egypt.

AI, privacy and cybersecurity relevance

  • AI: Very High
  • Privacy: Moderate
  • Cyber: Low

AI

VERY HIGH RELEVANCE

Egypt's national AI strategy.

Privacy

MODERATE RELEVANCE

Addresses data governance; it does not itself set data-protection rules.

Cybersecurity

LOW RELEVANCE

Infrastructure and security are mentioned as enablers only.

Applicability

Government bodies, the AI ecosystem and investors in Egypt; a policy document, not a source of legal obligations.

Current validity

CURRENT. Strategy period 2025-2030; it is policy, not law. Read the official PDF on this page for the operative text.

Read first

Strategy overview → Governance pillar → Data pillar → Implementation roadmap.

Provisions / sections covered

Strategy overview

Vision, mission, strategic objectives and the six strategic pillars.

Governance pillar

Plans for an AI regulatory and governance framework and responsible, ethical AI.

Data pillar

National data-governance measures to enable safe and effective use of data for AI.

Implementation

Roadmap, capacity assessment framework and expected results after implementation.

Document page in the Knowledge Base - full text or PDF where it is available for this record.

This library locates primary and official sources. It does not interpret the law and it is not legal advice.