Sectoral transformation pathways described in the strategy: practical AI use cases across the economy and public services.
The strategy highlights AI to strengthen food security and agriculture through predictive analytics and smart farming, anchored by a national Grand Challenge theme on Food Security.
The strategy highlights health priorities through national missions and secure data foundations, including foundational health datasets and challenge problems such as reducing child mortality.
The strategy advances AI and data literacy through curriculum integration, educator capacity programs, and the Nzwisiso public campaign to build understanding and trust.
The strategy uses the Innovation Crucible regulatory sandbox to test and scale AI solutions safely in partnership with regulators, including the Reserve Bank of Zimbabwe (RBZ).
The strategy highlights mining AI for mineral beneficiation, exploration, and predictive maintenance, alongside niche specialization areas such as sustainable mining.
The strategy positions AI as a tool to accelerate manufacturing productivity, quality, competitiveness, and resource efficiency across factories and supply chains.
The strategy describes AI for route optimization, operational efficiency, and smarter planning across the built environment, transportation, and logistics networks.
The strategy emphasizes sustainable national infrastructure for AI, including renewable energy usage and energy-efficiency metrics for national compute and data centers.
The strategy links AI to smart water management, environmental monitoring, climate resilience, and tourism promotion through better planning and personalized experiences.
The strategy lists defence and security as an additional sector for AI adoption, alongside legal, ethical, and governance safeguards.
The strategy lists real estate as an additional sector for AI adoption.
The strategy describes practical digital-government pathways: intelligent service portals, automation, engagement platforms for consultation and feedback, and data-driven decision support to improve service delivery.
The strategy emphasizes MSME-driven AI adoption, prioritizing making AI tools accessible and affordable for SMEs as key to widespread societal acceptance.
Explore engagement pathways for innovators, researchers, industry, diaspora, students and citizens.
Social Services
The strategy lists social services as an additional sector for AI adoption.
Delivery Approach