Artificial Intelligence And Business Sustainability In Sub-Sahara Africa

Abstract

This study examined artificial intelligence and business sustainability in Sub-Sahara Africa. Anex-post facto research design was adopted. Data were generated using secondary data from annual reports and accounts of selected multinational firms from 2013 – 2022. The data were analyzed using simple regression analysis. The finding revealed that artificial intelligence has no significant effect on the economic reporting of multinational firms in Sub-Sahara Africa. Also, artificial intelligence has a significant effect on the environmental reporting of multinational firms in Sub-Sahara Africa. Based on the findings, the researchers recommend that Sub-Saharan African firms should embrace AI-specific measures such as sharing best practices and supporting new and innovative AI applications for fighting climate change. However, they should be guided in order not to throw unskilled workers out of their jobs. Initiatives like skill acquisition and entrepreneurship should be encouraged by governments of developing countries to reduce unemployment that may arise as a result of the deployment of AI systems. Displaced workers can be trained and deployed in the most sustainable way possible while minimizing negative impacts for the good of the planet. Environmental preservation and regeneration of the ecosystem are paramount for sustainable development. This will enable artificial intelligence to have direction and function effectively towards ensuring that business sustainability is achieved.