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COMESA Holds AI and Digital Inclusion Consultations in Lilongwe

COMESA convened consultations on AI and digital inclusion in Lilongwe starting August 2026, bringing regional trade-bloc perspective to Malawi's technology policy conversations.

By Africa AI Ledger Desk · 21 August 2026 · 3 min read
COMESA Holds AI and Digital Inclusion Consultations in Lilongwe

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The Common Market for Eastern and Southern Africa (COMESA) opened a series of consultations on artificial intelligence and digital inclusion in Lilongwe starting August 21, 2026, making Malawi the host for regional discussions on AI policy coordination among COMESA's member states.

The consultations brought together government officials, digital rights advocates, and private-sector representatives from across the COMESA bloc to discuss how member states might align approaches to AI regulation, cross-border data flows, and digital inclusion — an agenda item increasingly relevant as individual countries like Malawi, Namibia, and Mozambique proceed with their own national AI strategy processes on separate timelines.

Discussions in Lilongwe focused heavily on digital inclusion, reflecting concern among COMESA member states that AI adoption could widen existing gaps between urban and rural populations if infrastructure and skills investment do not keep pace with policy ambitions. Malawi's own AI Readiness Assessment, validated in Lilongwe less than a month earlier, fed directly into the discussion as a case study for the practical constraints many COMESA members face.

For Malawi, hosting the consultations offered visibility within a regional bloc whose 21 member states span a combined population of more than 580 million people, and gave local officials a platform to advocate for approaches that account for lower-connectivity environments rather than assuming uniform digital infrastructure across the bloc.

COMESA has not announced a binding regional AI framework as an outcome of the consultations, but participants described the Lilongwe sessions as an early step toward closer coordination among member states on AI governance issues.

For policymakers, the significance is not the announcement alone but the institutional work that follows: clear mandates, accountable implementation and enough technical capacity to measure whether the policy changes outcomes.

The next stage is execution. Readers should look for specific milestones, transparent reporting and evidence that the initiative is improving access, capability or outcomes rather than simply adding another AI announcement to the policy cycle.

The development is part of a wider shift in how African institutions and businesses are moving from AI experimentation towards practical capability. Its importance should be assessed against the problem it is meant to solve, the people who will use it and the evidence that it is delivering a measurable benefit. Announcements create attention, but adoption requires trust, skills, data and a clear path from pilot to routine use.

There is also a useful distinction between ambition and implementation. A public commitment, commercial launch or partnership can open a route forward without guaranteeing an outcome. Follow-up reporting should therefore track delivery, participation, accountability and what changes for users on the ground. That approach gives readers more than a summary of the source: it explains the decision, the opportunity and the risks that will shape whether this development matters over time.

This is also a useful reminder that African AI coverage needs to connect announcements with institutions and people. The headline may describe a launch, agreement, investment or milestone, but the public value is created later through implementation. That means asking who owns the next decision, what resources are available, how risks are managed and whether the benefits extend beyond the organisations that made the announcement.

For readers, the most important follow-up will be evidence. A programme should be judged by participation and outcomes; infrastructure by reliability and access; policy by clarity and enforcement; and commercial activity by users, revenue and durable jobs. Those measures provide a more grounded way to understand the development and help separate a promising signal from a completed result. Africa's AI story is being built through this accumulated work, not through isolated announcements.

Source & attribution

Source: comesa.int

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