This paper studies the impact of Artificial Intelligence (AI) on the labour market in Pakistan, using data on 330,000 job vacancies and 2.8 million jobseekers from 2020 to 2025. We apply natural language processing techniques to map job tasks to the O*NET taxonomy and measure exposure to generative AI. This approach is more tailored to the task content of occupations in Pakistan.  Using these measures, we examine how the introduction of public-use generative AI affected labor demand and supply using a difference-in-differences approach.

This paper examines the impact of Zimbabwe’s Fast Track Land Reform Programme (FTLRP) using granular geospatial and household data spanning the pre- and post-reform period. Using a difference-in-difference framework, we compare outcomes on resettled A1/A2 land with communal areas that remained outside the scope of the reform. We also compare Zimbabwe’s agricultural outcomes with those of Zambia, a neighbouring country that shares a similar colonial history, climate, and agro-ecological conditions but did not implement large-scale land reforms during this period. Our results show substantial declines in agricultural performance for most major crops, a slight decline in the household wealth index, and an increase in the share of stunted children. Together, these results suggest that the land reform worsened agricultural productivity and did not deliver the anticipated benefits of improved welfare.

This report examines the evolving conditions of the Displaced Rohingya Population (DRP) and their Bangladeshi hosts, drawing on data from the Cox’s Bazar Panel Survey (CBPS) in 2019, 2023 and 2025. It analyses various indicators of well-being including human capital, livelihoods, living conditions, access to services, health and food security. In addition, it explores the perceptions of the host community and the DRP's intentions regarding their return to Myanmar.

This report presents a comparative analysis of labor market outcomes for the Displaced Rohingya Population (DRP) in two distinct settlement contexts in Bangladesh: the long established camps of Cox’s Bazar and the more recently developed, geographically isolated site of Bhasan Char. Drawing on harmonized data from the 2022 Bhasan Char survey and the 2023 Cox’s Bazar Panel Survey (CBPS), the analysis highlights how location, legal constraints, and program design shape employment opportunities and economic self-reliance for displaced populations.

This blog was written to inform UNICEF’s contributions to Africa’s development agenda, particularly the African Union Agenda for Children 2040 and the African Union Agenda 2063. It explores the progress and challenges for human capital development, in the context of a demographic transition to a younger, more dynamic workforce in Africa. It also summarises the evidence on early childhood interventions, quality schooling, and social protection that can be leveraged to shape the long-term outcomes of children and youth on the continent.