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  • Africa faces its Debt crisis:

    Africa faces its Debt crisis:

    “A call for African-led solutions amidst a flawed global framework”

    By Taurai Chiraerae and Emmanuel Innocents Edoun

    Lomé, Togo – 12th May 2025: In this beautiful evening in the capital of the west African country of Togo, the heat outside the venue is not telling the full story of what 500 delegates are grappling with inside the conference centre hosting, the African Union Debt Conference under the overarching theme of “Restoring and Safeguarding Debt Sustainability.”

    On that day of 12 May 2025, the Conference in Lomé concluded with a resounding call for Africa to take ownership of its escalating debt crisis. The high stakes gathering, marked by the physical presence of Heads of State from Ghana and Togo, and a virtual address by the President of Zambia, underscored the deep political commitment to finding lasting solutions. The attendance of numerous Central Bank Governors, Ministers of Finance, civil society organisations, and member countries further highlighted the urgency and the direct involvement of key economic decision-makers in addressing the continent’s precarious financial situation.

    The atmosphere in Lomé was thick with a sense of urgency, amplified by the haunting echoes of the 1980s debt crisis that crippled the continent. History serves as a stark reminder: a staggering 187% surge in external debt between 1976 and 1980 plunged Africa into prolonged economic stagnation. While subsequent debt relief initiatives offered temporary respite, fundamental vulnerabilities persisted, culminating in another dramatic debt surge between 2010 and 2020. By 2023, Africa’s external debt had ballooned to approximately 24.5% of its combined GDP, a figure that, while varying with different calculation methods, still represents a significant drain on national resources.

    The stark reality is that the IMF/World Bank’s Debt Sustainability Framework now categorizes a deeply concerning 25 African nations as being in or at high risk of debt distress, a dramatic increase from just 9 in 2012. This escalating crisis is forcing a painful trade-off, with a growing number of African nations now allocating more funds to servicing their debts than to essential healthcare, jeopardizing the immense $1.3 to $1.6 trillion financing gap required to achieve the Sustainable Development Goals (SDGs) and Agenda 2063.

    A central tenet of the discourse in Lomé was a growing disillusionment with the existing global debt resolution mechanisms, particularly the G20 Common Framework. The experiences of nations like Ghana and Zambia painted a sobering picture of a framework widely perceived as slow, complex, and ultimately failing to deliver the timely and comprehensive debt relief urgently required. This sentiment resonated strongly throughout the conference, with participants drawing lessons from past initiatives like the Heavily Indebted Poor Countries Initiative (HIPC) and the Debt Service Suspension Initiative (DSSI). The pivotal question debated was whether the time has come for a new, Africa-specific debt relief framework – one designed by and for the continent, tailored to its unique structural challenges, and genuinely aimed at freeing up crucial fiscal space for sustainable development.

    A key element of this proposed African-led approach is the urgent need for enhanced credit ratings in Africa. Participants voiced concerns about perceived biases inherent in global credit rating methodologies. The potential of the African Credit Rating Agency to improve Africa’s representation in global capital markets, strengthen domestic rating systems, and bolster investor confidence was strongly emphasized as a critical step in tackling the continent’s debt woes. The prevailing sentiment was that solutions must prioritize Africa’s long-term growth and sovereignty over outdated and creditor-biased global architectures.

    The conference featured a comprehensive examination of the continent’s deepening debt crisis through in-depth panels and technical discussions. Experts dissected the growing fiscal pressures arising from limited market access and escalating debt servicing costs. The panel on “Africa’s Public Debt Management Agenda in Restoring and Safeguarding Debt Sustainability” underscored the urgent need for liquidity support and strategic investments aligned with Agenda 2063. A critical assessment of the “G20 Common Framework and the Current Debt Conundrum in Africa” highlighted its inadequacies and the painful experiences of Ghana and Zambia, advocating for a new, Africa-led debt workout mechanism based on an intergovernmental process that ensures participatory negotiations between all creditors and debtors.

    Discussions also centered on strengthening domestic debt management practices through enhanced oversight, fiscal discipline, and institutional capacity (“Sound Debt Management Practices and Public Debt Sustainability in Africa”), and the crucial role of parliaments in ensuring accountability (“Legislative Oversight and Accountability in Public Debt”). Furthermore, the conference addressed biases in global credit rating methodologies (“Enhancing Credit Ratings in Africa”) and explored innovative financing solutions and the role of Pan-African financial institutions. Deliberations on “Debt Transparency and Accountability” underscored the importance of accessible debt data and civil society engagement.

    The culmination of these in-depth discussions was the adoption of the Lomé Declaration on Africa’s Debt, a unified African position intended to guide future negotiations and reforms. This declaration comes at a significant time, coinciding with the African Union’s declaration of 2025 as the year of “Justice for Africans and People of African Descent Through Reparations,” explicitly linking historical injustices to the continent’s current debt burden.

    In this critical context, the potential of Artificial Intelligence (AI) to revolutionize Africa’s approach to sovereign debt management emerged. championed by institutions like the Centre for Artificial Intelligence and Sustainable Development (CAISD). Dr. Emmanuel Edoun articulated the need for African governments to create jobs and enhance domestic resource mobilization to unlock finances for development. As further explored in CAISD’s analysis, AI offers a powerful toolkit for enhanced transparency, accountability, and ultimately, debt sustainability. By leveraging AI for sophisticated data analysis, real-time monitoring, predictive risk assessment, streamlined reporting, and enhanced audit capabilities, African governments can gain unprecedented insights into their debt profiles and potential vulnerabilities. Furthermore, the integration of AI with technologies like blockchain holds the promise of ushering in an era of immutable and transparent debt records.

    The Lomé Declaration on Africa’s Debt signifies a unified continental resolve to take ownership of its debt challenges. Embracing innovative solutions like AI, alongside a determined push for a new, Africa-led debt resolution framework based on a participatory intergovernmental process, may well be the key to finally breaking free from the shackles of unsustainable debt and charting a course towards genuine fiscal sovereignty and lasting development. It is crucial that African debt restructuring efforts do not undermine the African Union’s Agenda 2063. The experiences of countries like Zambia, Ghana, Ethiopia, and Côte d’Ivoire, now entering debt restructuring processes, must reinforce and protect public services, ensuring that resources are not diverted away from the people to creditors. The current G20 Common Framework’s exclusion of other creditors, including multilateral lenders and private creditors, undermines the effectiveness of the entire process. The 55 African countries could collectively advocate for a debt service suspension, even on interest rates, to prevent the crowding out of essential service delivery. Monitoring debt-to-revenue ratios is critical to ensure that debt service obligations do not supersede governments’ responsibilities to their citizens.

    This necessitates the implementation of progressive, not regressive, tax systems to avoid transferring the burden of borrowing costs onto the populace. Enhanced oversight on debt management, involving parliaments, the judiciary, auditor general reports, and strengthened debt management offices, is paramount for accountability. Ultimately, the Lomé conference underscored a continent determined to forge its own path towards sustainable financial solutions and economic recoveries, recognizing that true progress requires a fundamental shift in the global debt architecture and a firm commitment to African-led solutions.

    Copyrights (CAISD)

  • Riding the Algorithmic Wave: South Africa’s Academic and Governmental Engagement with Artificial Intelligence

    Riding the Algorithmic Wave: South Africa’s Academic and Governmental Engagement with Artificial Intelligence

    By Alexandre Essome and Taurai Chiraerae

    Pretoria April 12, 2025: South Africa, a nation grappling with intricate developmental challenges, stands at a pivotal juncture in its technological evolution. The transformative potential of Artificial Intelligence (AI) is increasingly recognized across its academic institutions and within governmental spheres, albeit with varying degrees of maturity and integration. As international relations experts and scholars, this analysis will delve into the current landscape of AI adoption within South African academia and government, contextualize it within the broader regional response, identify key voices shaping the discourse, and propose practical recommendations for both prospective students and policymakers.

     Furthermore, it will illuminate how the newly established Centre for AI in Sustainable Development (CAISD), in collaboration with esteemed institutions like the Central University of Technology (CUT) of Free State, Botswana International University of Science and Technology (BIUST), and Namibia University of Science and Technology (NUST), aims to catalyze AI capacity building across the region.

    Academic Institutions: Seeds of AI Innovation

    South African universities are increasingly acknowledging the imperative of equipping the next generation with AI-related skills. While a comprehensive, centralized database of all AI-integrated programs remains elusive, a discernible trend indicates a growing number of institutions incorporating AI into their curricula. Universities such as the University of Cape Town (UCT), the University of the Witwatersrand (Wits), the University of Pretoria (UP), and the University of Stellenbosch (SU) have been at the forefront, offering specialized postgraduate programs in areas like machine learning, data science, and robotics, often with applications in various fields including finance, healthcare, and engineering.

    Furthermore, departments within computer science, electrical engineering, and statistics across numerous universities are embedding AI-related modules into their undergraduate and postgraduate offerings. This includes courses on neural networks, computer vision, natural language processing, and intelligent systems. The establishment of research centers and initiatives focused on AI within these institutions further underscores the growing academic interest and investment in this domain. It is estimated, based on publicly available information and university prospectuses, that at least a dozen major universities in South Africa currently offer dedicated postgraduate programs or significant specializations within existing programs that heavily integrate AI concepts and methodologies. This number is likely to grow as the demand for AI expertise continues to surge.

    However, the integration of AI across all academic disciplines and the development of programs specifically tailored to sustainable development applications remain areas with significant growth potential. This is where the collaborative initiative led by CAISD, partnering with CUT of Free State, Botswana International University of Science and Technology (BIUST), and Namibia University of Science and Technology (NUST), presents a crucial intervention. By offering specialized postgraduate diplomas and Master’s degrees in areas like “AI for Sustainable Development,” “AI and Data Science for Agriculture & Mining,” and “AI and Digital Transformation,” CAISD aims to directly address the need for AI expertise focused on solving real-world challenges within the Southern African context. The PhD programs further aim to cultivate a new generation of researchers capable of pushing the boundaries of AI innovation for the region’s unique needs.

    Governmental Embrace of AI: Policy and Practice

    The South African government has demonstrated an increasing awareness of AI’s strategic importance. The Presidential Commission on the Fourth Industrial Revolution (PC4IR), established in 2019, played a pivotal role in articulating a national strategy for embracing emerging technologies, including AI. The commission’s recommendations spanned areas such as infrastructure development, skills development, regulatory frameworks, and ethical considerations. In terms of policy, the Department of Communications and Digital Technologies (DCDT) has been instrumental in driving the national AI strategy. While a comprehensive, overarching national AI policy document is still under development, various governmental initiatives and policy statements reflect an increasing focus on AI. These include discussions around data governance, the ethical implications of AI, and the potential for AI to enhance public service delivery.

    In practical application, the government’s adoption of AI has been more nascent but is gaining momentum. Examples include the use of AI-powered tools for crime analysis by the South African Police Service (SAPS), the exploration of AI in healthcare for diagnostics and resource allocation, and the potential application of AI in optimizing energy consumption and managing natural resources. However, large-scale, integrated AI deployments across government remain limited, often hindered by infrastructural constraints, data silos, and a shortage of specialized skills within the public sector.

    Regional Responses to AI: A Comparative Glance

    Across the Southern African Development Community (SADC) region, governments are also beginning to explore the potential of AI. Countries like Botswana and Namibia, through institutions like BIUST and NUST (partners of CAISD), are investing in building foundational AI capacity within their academic systems. Other nations like Kenya and Rwanda have been more proactive in formulating national AI strategies and piloting AI applications in areas like mobile money, agriculture, and public services. These regional efforts highlight a growing recognition of AI’s transformative power, although the pace and focus of adoption vary significantly based on national priorities and resource availability. The collaborative approach of CAISD, bringing together expertise and resources from multiple countries, offers a promising model for accelerating regional AI capacity building and knowledge sharing.

    Key Voices Shaping the AI Discourse in South Africa

    The conversation around AI in South Africa is being shaped by a diverse group of stakeholders. Academics from leading universities, such as Professor Benjamin Rosman at Wits (robotics and AI), Professor Vukosi Marivate at UP (data science and AI for social impact), and various researchers within specialized AI centers, are crucial in driving research and thought leadership. Industry players in the fintech, telecommunications, and mining sectors are increasingly vocal about the potential and challenges of AI adoption. Furthermore, organizations like the Artificial Intelligence Institute of South Africa (AIISA) are playing a vital role in fostering collaboration, raising awareness, and advocating for responsible AI development and deployment. Public intellectuals and commentators are also contributing to the broader societal understanding and ethical considerations surrounding AI. AI technologies are advancing rapidly worldwide, necessitating

    • South Africa to adopt these innovations to stay competitive and relevant. The nation must keep pace with global advancements to avoid falling behind in technological capabilities.
    • Economic Necessity: AI offers significant potential for economic growth by enhancing productivity, creating new industries, and fostering innovation. Embracing AI can drive South Africa’s economic development, create job opportunities, and improve overall economic resilience.
    • Social Demands: There is an increasing demand for AI-driven solutions in critical sectors in the economy (healthcare, agriculture, education, and public safety, etc). AI can provide innovative solutions to social challenges, improving service delivery and enhancing quality of life.
    • Policy Momentum: Global trends in AI governance and the need to harmonize with international standards are pushing South Africa to develop its own AI policies. The country needs to align with international norms and standards to ensure ethical and effective AI deployment

    Pull of the Future

     This refers to the captivating visions of the future that are so irresistible that one cannot resist focusing on them. The National Development Plan (NDP) was aimed to envision South Africa’s future where poverty, unemployment and equality are overcome.

    • Economic Transformation: The vision is to use AI to transform South Africa’s economy, reduce unemployment, and foster innovation. This involves creating a dynamic and competitive economic environment that can adapt to global changes and leverage AI for sustainable growth.
    • Social Equity: Ensuring that AI contributes to social equity by addressing disparities and improving access to services is a key goal. AI can help bridge gaps in areas like healthcare, education, and economic opportunities, promoting inclusiveness and reducing inequalities.
    • Sustainable Development: AI can drive sustainable practices in agriculture, energy management, and urban planning. Utilizing AI for sustainability aligns with global environmental goals and helps South Africa address its environmental challenges as well as Sustainable Development Goals (SDG’s).
    • Global Leadership: South Africa aims to be a leader in AI within the African continent and a significant player on the global stage. This involves not only technological advancements but also influencing global AI ethics and governance frameworks

    CAISD: A Catalyst for AI-Driven Sustainable Development

    CAISD’s strategic collaboration with CUT, BIUST, and NUST positions it as a pivotal player in advancing AI expertise and application within the region. By offering specialized postgraduate programs tailored to the unique challenges and opportunities of sustainable development in Africa, CAISD directly addresses the identified skills gap. The focus on areas like agriculture and mining, critical sectors for many Southern African economies, demonstrates a practical and needs-driven approach. The emphasis on AI ethics and policy within the PhD programs further underscores CAISD’s commitment to responsible innovation.

    Practical Recommendations

    For Prospective Students:

    • Explore Interdisciplinary Programs: Consider programs that combine strong foundational AI knowledge with domain-specific expertise (e.g., agriculture, finance, environmental science). CAISD’s offerings directly cater to this need.
    • Seek Practical Experience: Look for programs that offer opportunities for internships, research projects, and collaborations with industry or government partners.
    • Network and Engage: Attend AI-related workshops, seminars, and conferences to connect with researchers, practitioners, and potential employers.
    • Consider Regional Opportunities: Explore programs offered by institutions like CUT, BIUST, and NUST through CAISD, which are specifically tailored to the African context.
    • Focus on Ethical Considerations: Develop a strong understanding of the ethical and societal implications of AI, as this will be increasingly crucial in your future career.

    For the South African Government:

    • Finalize and implement a comprehensive national AI strategy that should clearly outline national priorities, ethical guidelines, investment in infrastructure and skills development, and regulatory frameworks.
    • Invest in AI education and research by increasing funding for AI-related programs in universities and supporting the establishment of dedicated AI research centers. Collaborate with initiatives like CAISD.
    • Promote data accessibility and interoperability by addressing data silos within government and creating frameworks for secure and ethical data sharing to facilitate AI development and deployment.
    • Foster Public-Private Partnerships, encouraging collaboration between government, academia, and industry to drive AI innovation and adoption in key sectors.
    • Develop AI literacy programs for the public sector, equipping public sector employees with the foundational knowledge and skills to understand and leverage AI effectively.
    • Engage in Regional Collaboration by working with neighbouring countries to share best practices, develop joint AI initiatives, and address cross-border challenges using AI solutions. Support initiatives like CAISD that foster regional collaboration.

    Conclusion

    South Africa is on a promising trajectory in embracing the potential of AI. While academic institutions are increasingly integrating AI into their offerings, and the government is acknowledging its strategic importance, significant opportunities remain for deeper integration and more impactful application. The establishment of CAISD, with its focus on sustainable development and its collaborative partnerships with universities across the region, represents a crucial step towards building the necessary human capital and driving AI-led innovation. By fostering a strong academic foundation, implementing enabling policies, and fostering regional collaboration, South Africa and its neighbours can harness the transformative power of AI to address their unique developmental challenges and build a more prosperous and sustainable future. The algorithmic wave is here; the key lies in riding it strategically and inclusively.