MTN Forum Urges Women to Shape AI Leadership Not Just Access

As artificial intelligence continues to transform economies across Africa, leaders are calling for a shift in how women participate in the digital economy. At a recent forum organized by MTN Group, participants emphasized that women’s inclusion must go beyond access and translate into real influence over decision making.

The intergenerational dialogue brought together global and regional leaders, including Sanda Ojiambo, Angela Wamola, Nompilo Morafo, and Selorm Adadevoh. Young African women also participated, sharing their experiences and expectations in a rapidly evolving digital landscape.

The discussions highlighted a critical issue. While representation has improved, influence in shaping AI systems and policies remains limited for many women.

Moving From Access to Decision Making Power

Participants stressed the difference between being included and having the authority to shape outcomes. Many young women at the forum said they seek practical opportunities such as leadership roles, funding access, and direct engagement with decision makers.

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They noted that mentorship alone is not enough. Without sponsorship, strong networks, and pathways into leadership positions, progress remains slow.

The call for action reflects growing frustration. Participants emphasized that opportunities must be tangible and accessible, not just discussed in policy or public statements.

AI Leadership Requires Accountability and Inclusion

Speakers at the forum highlighted the broader implications of AI development. As artificial intelligence influences decision making across industries, leadership must remain accountable and inclusive.

Ojiambo noted that while AI can support better decisions, humans remain responsible for outcomes. She emphasized that leadership must prioritize transparency, accountability, and long term thinking.

This perspective underscores the importance of diverse leadership in shaping ethical and effective AI systems.

Risks of Excluding Women From AI Governance

The forum also addressed the risks associated with limited representation. Excluding women from leadership roles in AI driven sectors could reinforce inequality and reduce innovation.

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Participants warned that lack of diversity narrows the talent pool and weakens decision making processes. As AI systems increasingly shape economic and social structures, inclusive leadership becomes a strategic necessity.

Ensuring women participate in governance and technical roles can improve outcomes and support more balanced development across the continent.

Leadership in the Age of Technology

Speakers highlighted the need for human centered leadership in a technology driven world. Empathy, collaboration, and openness were identified as essential qualities for leaders navigating rapid digital transformation.

Adadevoh emphasized that effective leadership requires bringing human perspectives into decision making. Morafo added that leaders must listen actively and remain open to different viewpoints.

These qualities become increasingly important as organizations adopt advanced technologies that influence both business operations and societal outcomes.

A Strategic Imperative for the Digital Economy

For MTN, advancing women’s leadership is not only a social goal but also a strategic priority. As artificial intelligence reshapes industries, companies must ensure that transformation processes include diverse perspectives.

The forum highlighted the need for structured pathways that support women in entering leadership, technical fields, and innovation ecosystems.

This includes access to education, funding, and governance roles that allow women to actively shape the future of AI.

Future Outlook for Women in AI

The discussion reflects a broader shift in expectations across Africa’s digital economy. Women are calling for measurable progress and meaningful participation in decision making.

As AI continues to influence economic growth and innovation, organizations that prioritize inclusive leadership may gain a competitive advantage.

The challenge now lies in turning commitments into action. Building systems that support both access and influence will be essential for creating a more inclusive and effective AI ecosystem across Africa.