Policy Recommendations to Safeguard Young People’s Education and Employment in the AI Era

New challenges call for inclusive, human-centred AI policies

The rapid development of artificial intelligence is reshaping our societies — from classrooms to workplaces. While AI offers opportunities to enhance access to education and transform labour markets, it also presents serious risks of inequality, surveillance, and precarity.

To address these challenges, the AI4Youth consortium has produced a comprehensive policy recommendations document, focused on ensuring that AI development aligns with the rights, well-being, and aspirations of young people in Europe.

This document, rooted in research and stakeholder dialogue, outlines seven key areas for action:

7 Key Recommendations:

Promote digital and critical literacy
Young people must understand and critically engage with AI to defend their rights and shape the future. This includes not only technical skills, but also ethical awareness and civic participation.
Ensure upskilling and lifelong learning
As AI disrupts the labour market, accessible lifelong learning programmes must be strengthened — especially for those at risk of exclusion. This includes support for non-formal education and a right to upskilling in case of displacement.
Foster inclusive and participatory policymaking
Youth voices — especially those from marginalised groups — must be integrated into decision-making on AI, education, and employment. Capacity-building is needed across institutions to engage young people meaningfully.
Reinforce social dialogue and protect workers’ rights
Trade unions and youth organisations must be supported to address the challenges of AI in the workplace. Innovative models like cooperatives and collective bargaining mechanisms should be reimagined for the digital age.
Update safety regulations to address AI-based surveillance and psychosocial harm
Existing regulations (e.g. GDPR, AI Act) do not fully address the risks AI poses in educational and work environments. We call for updated frameworks, including the right to disconnect and mental health protections.
Invest in complementary AI
Public policies must prioritise AI that supports — rather than replaces — human potential. This means funding technologies that enhance learning and job quality, and involving youth organisations in the development of such tools.
Adopt fiscal and labour policies to manage AI-driven displacement
Automation may lead to significant job losses. Progressive taxation policies (e.g. taxing automation) and reinvestment in reskilling and social security are necessary to ensure a fair and stable transition.