AI sovereignty must be developmental, people-centred and inclusive, AUC Commissioner says

Date: 2026-09-28
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By:   Nana Appiah Acquaye

The African Union Commission’s Commissioner for Infrastructure and Energy has called for an approach to artificial intelligence sovereignty that is developmental, people-centred and inclusive, with Africa’s citizens and young people at the centre of the continent’s AI transformation.

The Commissioner made the call in New York, during a World Economic Forum Sustainable Development Impact Meetings roundtable on “Supporting Regions to Build Competitive and Sovereign AI Ecosystems” held on the margins of the 81st United Nations General Assembly.

She emphasised that AI sovereignty should not focus solely on enterprises but must also ensure that artificial intelligence delivers meaningful benefits to citizens, particularly Africa’s young people.

The discussion examined the development of African AI ecosystems guided by the African Union Continental AI Strategy, with an emphasis on ensuring that AI delivers tangible benefits for people and communities.

The Commissioner also highlighted the relationship between AI, computing capacity and energy, noting the need to address energy and electrification challenges that underpin the development of sustainable AI infrastructure.

She called for greater access to AI while ensuring that emerging ecosystems are grounded in sovereignty, transparency and the responsible use of AI models.

Skills were also identified as a central component of AI sovereignty. The Commissioner stressed that infrastructure without people and skills is not sustainable, making researchers, developers and a skilled workforce essential to national AI strategies.

She further emphasised the importance of investment in education and skills, noting that skills cannot be developed overnight regardless of the level of investment.

Skilling, she said, must therefore become a core pillar of Africa’s digital foundations, requiring countries to rethink and transform their education systems.

The discussions reinforced the view that Africa’s AI future will depend not only on the infrastructure being developed, but also on the people, skills, energy systems and institutions placed at the centre of the continent’s digital transformation.

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