Generative AI and Workforce Resilience: Enhancing Enterprise Productivity and Sustainable Economic Development in Emerging Markets

Abstract

This paper analyses the impact of generative Artificial Intelligence on improving workforce and enterprise resiliency and sustainable economy in emerging markets. The study is about the way AI-powered technologies reshape the operations of the organization in terms of automation, better decision-making, and the use of real-time data. Secondary research approach is applied, based on the information about theoretical literature, industry sources and international statistics to find out the major trends and patterns. The discoveries indicate that the generative AI is superior in its ability to enhance the productivity level through the optimization of processes and the minimization of manual labor, especially in conditions with resource constraints. Nevertheless, the research also brings up very important obstacles, such as inadequacies in skills of the workforce, a shortage of digital infrastructure, and disproportionate access to AI technologies. Workforce resilience has become one of the important aspects since employees need to become flexible, digitally literate, and able to engage in constant learning to work with AI systems. Moreover, the collaboration of human AI improves the efficiency of operations and facilitates innovations, which will contribute to economic growth in the long term. Regardless of these advantages, job displacement and technological inequality issues are still salient. The paper concludes that the effective implementation of generative AI involves effective investment in the development of the workforce, non-discriminatory policies, and ethical governance frameworks. In general, the study highlights the importance of a balance between technological development and the potential of humans in the development of sustainable productivity and economic stability in emerging market economies.