Only tripartite U.N. agency, the ILO brings together governments, employers and workers representatives of 187 member States, to set labour standards, develop policies and devise programmes promoting decent work for all women and men.
This forthcoming report, developed in collaboration with Cambridge Econometrics, uses advanced macroeconomic modeling to estimate future skills demand under various scenarios. It aims to inform strategies that ensure the workforce is equipped with the necessary skills to adapt to evolving labour market demands driven by technological and green transitions.
Activity Type Research/Reports/Assessments
This report, co-authored by the United Nations and the International Labour Organization, addresses the critical issue of the uneven adoption of Artificial Intelligence (AI) and its implications for global equity, fairness, and social justice.
Disparities in access to digital infrastructure, advanced technology, quality education, and training are deepening existing inequalities, particularly as the global economy shifts towards AI-driven production and innovation. Less developed countries risk being left behind, exacerbating economic and social divides.
The report stresses the importance of targeted and concerted efforts to bridge this digital divide to ensure AI's potential to foster sustainable development and alleviate poverty. It highlights the role of the workplace in AI adoption, where productivity gains and improved working conditions can be achieved with the right conditions, including digital infrastructure, skills, and a culture of social dialogue.
Promoting inclusive growth requires proactive strategies to support AI development in disadvantaged regions, enhance digital infrastructure, build AI skills, and ensure good quality jobs along the AI value chain. International collaboration in AI capacity building is crucial to create a more equitable and resilient AI ecosystem, unlocking opportunities for shared prosperity and human advancement worldwide.
The report calls for continued collaborative efforts to shape global AI governance, uphold human dignity and labour standards, and expand economic opportunities for all.
This brief explores how artificial intelligence is reshaping employer and business membership organizations in Small Island Developing States (SIDS). Based on a 2025 survey of 35 EBMOs across 25 SIDS, it highlights early-stage adoption, key challenges and opportunities, and outlines how EBMOs can lead inclusive and sustainable AI integration in SIDS.
Activity Type Research/Reports/AssessmentsThis research explores how algorithmic management practices are being increasingly utilized by traditional companies in the logistics and healthcare sectors. It will analyze the impact of these practices on work organization and working conditions, and explore what public policies are required to ensure greater transparency in the algorithms.
Activity Type Research/Reports/Assessments