The rapid development of artificial intelligence (AI) as a complex and transformative

technology - crucial to nowadays digital industrial revolution - has significantly reshaped

economic systems and their regulatory frameworks. This accelerated transformation has

focused policy processes and research to address its emerging components, including

algorithmic bias, principles of governance, and labour market shifts. Among these, gender

inequality remains a critical yet scarcely researched structural issue, exacerbated by the

dominance of traditionally male-led sectors such as science, technology, engineering, and

mathematics (STEM). Despite key advances in gendered digital research to identify biases and

policies to enhance participation and education, current approaches often hinder structural

understandings of various intersecting dynamics. Hence, there is the need to further research

on issues such as how AI regulation affects women's labour in AI-related fields and its broader

implications for governance. Therefore, the present project aims to analyse Chile's National

AI Policy (CNPAI) as a case that explicitly integrates gender considerations across governance

and economic dimensions. The central research question asks: How do national AI policies

shape the labour context for women in AI, and what are the broader implications for

governance? To answer this, the present project aims to analyse the importance of mezzo-level

actors such as international organisations, non-governmental organisations, trade unions, civil

society and academia. This will aid to understand what the real observed context of women AI-

related labour is, if and how governance focuses are channelled through policies and how the

context, historical background and policy cohabit with broader socio-economic structural

injustices. Therefore, the research aims to implement a qualitative research design, combining

process tracing with semi-structured interviews, guided by a theoretical framework that

integrates: (a) Social Reproduction and Feminist International Political Economy (IPE) to

analyse how AI-related labour intersects with broader gendered economic structures;(b)

Intersectional Feminist Theory to highlight the specific ways in which gender, race, and class

interact in shaping AI labour policies; and (c) Critical Theory and Decolonial Thought, to

examine power structures embedded within AI governance and policy frameworks.