About the Strategy

A comprehensive framework to harness AI as a driver of inclusive growth, innovation, and national sovereignty.

Executive Summary

The Zimbabwe National Artificial Intelligence Strategy (2026-2030) presents a bold, coordinated framework to harness AI as a driver of inclusive growth, innovation and national sovereignty. This strategy seeks to establish Zimbabwe as the hub of inclusive and sustainable "AI for Development" in Southern Africa.

Strategic Alignment

  • Vision 2030: Upper middle-income society
  • NDS1 & NDS2: Economic growth pathway
  • Heritage-Based Education 5.0: Innovation-driven graduates
  • National ICT Policy: Intelligent systems for the future

Strategy at a Glance

2026-2030
Strategy period
8
Guiding principles
6
Strategic pillars
5
Flagship initiatives

Methodology

The source document describes a four-step process rooted in deep listening, national dialogue, iteration, and validation.

Step 1

Deep Listening and Analysis

Assessment of internal strengths and weaknesses, together with lessons from global AI strategies.

Step 2

A National Dialogue

Engagement with a diverse range of stakeholders across Zimbabwe.

Step 3

Co-Creation and Iteration

Open forums for debating, challenging, and refining ideas.

Step 4

Validation and National Compact

A consolidated strategy presented for validation as a shared national compact.

Consultations referenced in the PDF

The acknowledgements cite the Kadoma draft and national multi-stakeholder consultations in Harare on August 28, 2025, Bulawayo on September 9, 2025, and Masvingo on September 11, 2025.

SWOT Analysis

Understanding Zimbabwe's position for AI development

Strengths

  • High literacy rate and strong cultural value for education
  • Heritage-Based Education 5.0 framework
  • Mobile-first society with rapid service adoption potential
  • Unique national datasets and data heritage
  • Strong cultural values (Ubuntu/Unhu)

Weaknesses

  • Brain drain of skilled professionals
  • Under-resourced research institutions
  • Urban-rural connectivity gap
  • Fragmented data silos
  • Limited AI infrastructure

Opportunities

  • 🚀Leapfrogging potential (minimal legacy systems)
  • 🚀Global "AI for Good" movement alignment
  • 🚀Diaspora as strategic asset
  • 🚀AfCFTA and SADC unified markets
  • 🚀AI as a subject and capacity-building opportunity

Threats

  • 🛡Digital colonialism risks
  • 🛡Supply chain vulnerabilities
  • 🛡AI-driven misinformation
  • 🛡Imported algorithmic bias
  • 🛡Digital isolation risks

Explore the Strategy

Discover how Zimbabwe is building a sovereign, inclusive AI ecosystem.