This exploratory case study investigates the impact of generative AI (Gen-AI) tools on teacher efficiency, workload reduction, and well-being. Globally, teachers face excessive workloads due to time-consuming tasks such as lesson planning, lesson note updates, and marking of students’ class work. These tasks are identified as the primary contributors to excessive teacher workload in the research area. Data were collected from 12 participating teachers through interviews and analyzed using content and thematic analysis for the first and second data sets, respectively. The content analysis revealed four categorized perspectives, while the thematic analysis identified three key themes. Findings from the first data set indicate that lesson planning, lesson note updates, and marking students’ class work are the primary contributors to excessive teacher workload in the research area. The second data set’s analysis demonstrates that the use of Gen-AI significantly reduces teacher workload, enhances efficiency in performing these tasks, and improves overall teacher well-being. These results suggest that integrating Gen-AI tools in educational settings can alleviate administrative burdens, improve productivity, and positively impact teacher well-being.