BACKGROUND:
Antimicrobial resistance (AMR) is a major threat to global health, with disproportionate impacts in low- and middle-income countries, where surveillance systems are weak, fragmented and under-resourced. Even in high-income settings, surveillance seldom captures resistance to newer antibiotics. Advances in information technology and artificial intelligence (AI) offer new opportunities to improve AMR surveillance, anticipate resistance detection, optimize antimicrobial stewardship, and integrate different data sources to support data-driven decision-making. However, responsible and effective AI adoption requires contextual relevance, ethical safeguards, and strong capacity-building. Thus, it would benefit from involving young and early-career professionals, often actively engaged in local AMR research, policy, clinical and community work, but underrepresented in global decision-making spaces.

METHODS:
This interactive workshop, led by the Young WFPHA AMR Committee, will use participatory and youth-centered methodologies. Participants will engage in small-group discussions to share lived experiences of AMR work and key challenges encountered across diverse One Health settings and geographic contexts, and to map structural, social and technical barriers to AMR mitigation. An expert-facilitated session will introduce AI applications in AMR surveillance, antimicrobial stewardship and decision support, with attention to ethical, equity and data-governance issues. Groups will then co-create youth-led, AI-enabled intervention concepts emphasizing feasibility, sustainability, community inclusion and One Health integration.

RESULTS:
Expected outputs include a consolidated set of youth-identified AMR challenges, practical examples of AI-supported interventions, cross-cutting recommendations for inclusive and sustainable AMR strategies, and the co-development of a youth-led position paper or peer-reviewed commentary capturing the workshop insights. The session is also intended to catalyze collaboration among youth networks, researchers, practitioners and digital health stakeholders.

CONCLUSIONS:
By centering youth experience and responsible AI use, this workshop aims to strengthen equitable, context-relevant and collaborative responses to AMR. The outcomes will inform policy advocacy, program design and future research, contributing to resilient and sustainable global AMR mitigation efforts.