Measuring the Impact of AI Tools on the Productivity of Staff in the Case of World Bank Ethiopia Office
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Date
2026-10
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Addis ababa university
Abstract
This study assessed the effect of Artificial Intelligence (AI) tools on the productivity of Staff of the World Bank Ethiopia Country Office. Data was collected from 70 employees to analyze the relationships between AI tool adoption, task features, AI literacy, organizational readiness and perceived performance impact. The study employed a quantitative cross-sectional survey design based on the task-technology fit (TTF) framework. From the data, we have witnessed the AI tools are making a big difference. They speed up and simplify routine tasks and which boost productivity. The study identified key gaps in prompting and practical user skills as well as a disconnect between leadership goals and the training provided to staff. The findings confirm that AI literacy is a stronger predictor of productivity gains than frequency of use. Highlighting the importance of investing in human capital to maximize returns on technology. The study concludes with practical recommendations for the organization to address these gaps. And also strengthen AI’s role in supporting knowledge work, including the development of transparent governance policies and tiered, skills-based training programs
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skills-based training programs