Like many parts of Africa, parts of Cape town struggle to get basic necessities like water. This is why the implementation of AI and machine learning technologies is so important to this area because they can utilize it to manage necessities with sensors throughout the major cities that are powered by AI. " Municipalities can gather real-time data from millions of objects, including water meters, electricity meters, waste bins, traffic lights and street lights." These systems can also help with tourism in these areas which is a big economic force here. They also serve as a deterrent to terrorism and civil unrest detection. Much like Kenya did, Cape Town has outlined pillars that they want AI technologies to abide by which are " Digital infrastructure, digital inclusion, E-government and Digital economy"(Sokolowski, 2018). Some of the innovations that are already implemented include open data portals and free wifi on public buses to promote digital inclusion. Another major machine learning innovation in this area is the Fire management portal by IBM which takes "fire incident data from the Cape Town open data platform and overlaying it with historical weather maps from IBM’s own weather portal. The system can predict fire incidents of high and extreme risk incredibly well, allowing officials to prepare for emergency responses."(Sokolowski, 2018). This is a revolutionary idea because it can help reduce the lives lost by predicting fires. Cape town is pursuing these technologies out of necessity instead of convenience or profit which we believe is the important difference between AI implementation here and AI implementation in the United States.