Essential Strategies for Leveraging AI in the Global HIV Response

AbstractAs the global HIV response faces mounting financial pressures and shifting geopolitical priorities, there is growing interest in how artificial intelligence (AI) can support progress in high-burden, low-resource settings. While AI offers the potential to enhance efficiency, optimize resource allocation, and support client-centered care, it is not a replacement for sustained funding, political will, or well-functioning health systems. The strategies for AI implementation in the global HIV response presented here are organized around three core themes: data, governance, and regulation; client-centered and community-led approaches; and stakeholder coordination and investment in a global AI commons. Key priorities include addressing data gaps, promoting ethical and inclusive data practices, ensuring local ownership and technological readiness, and building digital literacy. AI must complement - not replace - essential HIV services and be implemented through a rights-based, community-driven lens to avoid deepening existing disparities. When deployed responsibly, AI can contribute meaningfully to HIV response efforts and catalyze broader innovations in global health.