Every Language Matters (ELM) is a global-to-local initiative that turns hard-won country lessons into coordinated public action, building on two years of work through the UNDP Local Language Accelerator. To illustrate how value and trust are created in AI innovation, the initiative introduces the Data-to-AI Value Chain (UNDP's framework for overcoming barriers to inclusive language AI between data and deployment). Governments, researchers, funders, technology partners, and communities each hold part of the solution. Every Language Matters drives action towards a sustainable ecosystem of trust and innovation at global scale – one that promotes discoverability of promising work, mobilizes investment, and inspires new partnerships. The Data-to-AI Value Chain brief is a collaboration between Current AI and UNDP. Diffusion alone is not a development outcome; it is a signal that certain enabling conditions are already in place. Importantly, it is not evidence that those conditions are serving the countries and communities where AI is being diffused. The Data-to-AI Value Chain for linguistic and cultural diversity is a core feature of AI agency, and a delivery mechanism for the Every Language Matters Initiative at UNDP.