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This study examined the artificial intelligence (AI) readiness of SADC countries in the Artificial Intelligence Preparedness Index (AIPI) components, including digital infrastructure, Human Capital and Labour Market Policies, Innovation and Economic Integration, as well as Regulation and Ethics. AI is expected to contribute $15.7 trillion to the global Gross Domestic Product (GDP) by 2030. Despite challenges such as lack of public sector use cases, limited capacity to support change, an immature technology sector, skills, technological infrastructure and data, the countries are working towards digital transformation. The study through the lens of the International Monetary Fund (IMF) datasets obtained in 2025, empirically reviewed the studies around AIPI and further performed the unit root test and Ordinary Least Squares (OLS) regression and natural logs. The findings pertaining to critical values with Natural logs(ln), as well as Regulation and Ethics Index (RAEI) were found to be significant within the Augmented Dickey-Fuller (ADF) test at different significance levels within p-values. Natural logs (ln) digital infrastructure (DII) ln(DII), Innovation and Economic Integration (IET) ln(IET) and Human Capital and Labour Market Policies (HCLMPI) ln(HCLMPI) have been deemed to be insignificant. The secondary study reveals that AI is leading the technological revolution, revolutionising human intelligence through virtual assistants, predictive analytics, robotic automation, as well as autonomous vehicles in manufacturing, health care, finance and transportation.

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Artificial Intelligence (AI) Preparedness—Is Africa Ready: The Case of Southern Africa Development Community (SADC) Countries

  • 会议论文

  • 发表日期：

    2026年

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  • Joseph Mithi,
  • Vusumuzi Moyo,
  • Alpheus Malemela,
  • Bakhetsile Mangena,
  • Thandeka Dlamini,
  • Marius Masoga

摘要

This study examined the artificial intelligence (AI) readiness of SADC countries in the Artificial Intelligence Preparedness Index (AIPI) components, including digital infrastructure, Human Capital and Labour Market Policies, Innovation and Economic Integration, as well as Regulation and Ethics. AI is expected to contribute $15.7 trillion to the global Gross Domestic Product (GDP) by 2030. Despite challenges such as lack of public sector use cases, limited capacity to support change, an immature technology sector, skills, technological infrastructure and data, the countries are working towards digital transformation. The study through the lens of the International Monetary Fund (IMF) datasets obtained in 2025, empirically reviewed the studies around AIPI and further performed the unit root test and Ordinary Least Squares (OLS) regression and natural logs. The findings pertaining to critical values with Natural logs(ln), as well as Regulation and Ethics Index (RAEI) were found to be significant within the Augmented Dickey-Fuller (ADF) test at different significance levels within p-values. Natural logs (ln) digital infrastructure (DII) ln(DII), Innovation and Economic Integration (IET) ln(IET) and Human Capital and Labour Market Policies (HCLMPI) ln(HCLMPI) have been deemed to be insignificant. The secondary study reveals that AI is leading the technological revolution, revolutionising human intelligence through virtual assistants, predictive analytics, robotic automation, as well as autonomous vehicles in manufacturing, health care, finance and transportation.