Zambia's National AI Strategy Push Targets Healthcare, Agriculture and Mining

Zambia's government is pressing forward with implementation of its national artificial intelligence strategy, sharpening its focus on three sectors officials say offer the country's clearest near-term returns on AI adoption: healthcare, agriculture and mining.

The strategy, which builds on groundwork first laid out in late 2024, has evolved into a more sector-targeted programme as Zambian officials have sought to translate broad AI policy ambitions into concrete pilot projects. Healthcare applications under consideration include AI-assisted diagnostic support for under-resourced clinics, particularly in rural areas where specialist medical expertise is scarce. In agriculture, officials have pointed to AI-driven crop monitoring and yield forecasting as tools that could meaningfully improve smallholder farmer outcomes, a priority given agriculture's role as a major employer in the Zambian economy.

### Mining as a distinctly Zambian AI use case

Mining stands out as a sector-specific priority less common in other African countries' AI strategies, reflecting copper mining's central role in Zambia's economy and export earnings. Officials have highlighted potential AI applications in predictive equipment maintenance, ore-grade analysis, and safety monitoring — areas where global mining companies operating in Zambia have already begun piloting AI tools, giving the government a domestic base of technical expertise and infrastructure to build on rather than starting from scratch.

Zambian officials have framed the sector-specific approach as a deliberate departure from more general-purpose national AI strategies pursued elsewhere, arguing that a smaller economy with more constrained digital infrastructure benefits more from concentrated investment in a few high-impact sectors than from a broad but shallow strategy spanning the full economy. The approach mirrors, to some extent, similar sector-prioritisation choices being made by other mid-sized African economies as they develop their own national AI frameworks through 2026.

Implementation remains at an early stage, with government officials describing current work as focused on establishing pilot partnerships with private sector players in each of the three priority sectors, alongside continued efforts to build foundational digital infrastructure and AI literacy within the civil service. No comprehensive public rollout timeline has been announced.