significantly underrepresented – and in many cases are excluded – from high-growth STEM fields that are ex­pected to drive the development of automated technolo­gies and the future of work(WGEA 2020). Together, these developments suggest that while women may face lower immediate risks from automation, structural inequalities continue to limit their access to high-quality, better-­compensated opportunities in the emerging technolo­gy-driven economy. Methodology It was decided that a scoping review would be the most appropriate methodological tool as the main purpose ­of this study is an overview of the literature. The aim is to not only to identify knowledge gaps and look at the scholarly work on the relevant topics, but also to map, report and discuss emerging concepts and characteris­tics in the academic, policy and grey literature. Unlike systematic reviews, which seek to collate all the empi­rical evidence that fits the specified eligibility criteria concerning a given research question, a scoping review serves an exploratory purpose, searching, selecting and synthesising existing knowledge(Gutiérrez-Bucheli 2022). It also maps the research landscape and identifies conceptual developments and areas of uncertainty ­(Anderson et al. 2008). Scoping reviews are useful for examining emerging evidence when it is still unclear what other, more specific questions might be posed and valuably addressed by a more precise systematic review. A scoping review adheres to the framework proposed ­by Arksey and O’Malley(2005), consisting of a five-step process, summarised in Table 1. The starting point for formulating the research ques­tions is relevant studies, primarily forecasting research, described in the background section of this paper. These studies argue that automation technologies in the work­place will inevitably affect the composition of the labour market, based on the proportion of jobs likely to be au­tomated in the near future. Women are more likely than men to be negatively affected as a result of existing la­bour market segregation. The main research questions were formulated on this basis: i. How does the existing literature tackle the impact ­of automation technologies on women, particularly at the intersection of gender and labour market dy­namics, and in relation to the structural and system­ic barriers that sustain gender disparities? ii. What emerging themes should policymakers priori­tise when considering the gendered dimensions of automation and their implications for the future of work? Specifically, with regard to the future of work within and across different sectors, how does the literature address the fundamental components of work, such as wages, the organisation of tasks, workplace design, career pro­gression, promotions and discrimination in the context of automation? A comprehensive search was conducted across multiple electronic databases, including Scopus, Web of Science, and ScienceDirect, supplemented by grey literature from Google Scholar, EU institutions, and European Commis­sion-funded projects accessed via Cordis. In addition, outputs from international organisations, such as the UN, the ILO and the World Bank, alongside reports from think tanks and business consultancies, were examined to ensure a wide-ranging and inclusive evidence base. To guide the search, a detailed search protocol was ­developed specifying inclusion and exclusion criteria, search terms and screening procedures. The inclusion criteria focused on literature published between 2019 and 2024, encompassing academic peer-reviewed publi ­cations, reports and working papers, with a focus on English-language sources and a particular focus on Framework proposed by Arksey and O’Malley(2005) Table 1 1 Identifying the research question The process begins with formulating an overarching question to guide the search strategy 2 Identifying relevant studies A comprehensive and systematic search strategy is designed to capture a wide range of sources and ensure robust coverage of the relevant evidence base. 3 Study selection Predefined inclusion and exclusion criteria are developed in advance, but remain subject to refinement as familiarity with the literature deepens. 4 Charting the data Key information is extracted from selected studies and organised thematically, allowing for the identification of patterns and conceptual trends. 5 Collating, summarising and reporting results Findings are synthesised and presented as a narrative, reflecting the complexity and diver­sity of the reviewed materials. 6 Friedrich-Ebert-Stiftung e.V.