Global AI news has become a major highlight in discussions of technological innovation, especially among developing countries. This innovation competition not only drives economic progress, but also improves people’s quality of life. In this context, several developing countries are showing significant progress in utilizing artificial intelligence (AI) to solve various social and economic problems. One prominent example is Kenya, which is using AI to improve its agricultural sector. Technologies such as big data analytics and machine learning help farmers predict weather and analyze soil fertility. This initiative not only increases crop yields, but also allows better monitoring of climate change. In Southeast Asia, Indonesia is utilizing AI in the health sector. Through AI-based applications, disease diagnosis becomes faster and more accurate. For example, several hospitals have implemented decision support systems that help doctors determine appropriate treatment steps. This contributes to reducing mortality rates and improving health services in remote areas. India is also a key player in the AI innovation race. The country is developing an AI platform that enables more inclusive education. By introducing AI-based learning, access to education in remote areas is significantly improved. Using distance learning technology, students can receive quality education without having to travel far. South Africa is seeking to improve its technological capabilities through collaboration between the public and private sectors. The initiative focuses on developing local startups that innovate using AI. This collaboration has produced smart solutions to urbanization and infrastructure problems, especially in city traffic management. Apart from these sectors, fintech or financial technology is a rapidly growing area in developing countries. AI-based solutions in this sector help individuals without banking access to obtain financial services. In Nigeria, AI-based microlending applications have been able to provide credit to millions of previously marginalized people. The innovation race among developing countries faces its own challenges. Limited infrastructure, lack of access to technology education, and data security risks are the main obstacles. However, collaborative efforts between governments, educational institutions, and the private sector show great potential to address this problem. Funding channels are also important for accelerating innovation. Global investors are increasingly interested in investing in AI-focused startups in developing countries. This funding not only provides the necessary resources, but also helps in building a sustainable innovation ecosystem. In this era of globalization, the exchange of knowledge and experience between developing countries can accelerate the development of AI. Through international forums, conferences and exchange programs, these countries can learn from each other and collaborate to overcome the challenges they face. The progress made in the field of AI by developing countries will not only bring positive changes at home, but also have the potential to put them on the world map as innovation leaders. By utilizing this technology effectively, developing countries can ensure inclusive and sustainable growth, and have a positive impact on society at large.