This panel will examine how governments and partners can expand equitable access to the core enablers of AI ecosystems, particularly compute and digital data infrastructure to support inclusive, sustainable innovation. It will discuss practical models such as shared compute, regional infrastructure, and public–private partnerships, alongside investments in skills, data readiness, and governance. The panel will also explore cost-efficient AI approaches and strategies to reduce AI's environmental footprint through energy- and water-efficient infrastructure.