AI Strategy as a National Priority: A Governance-to-Execution Framework for Saudi Arabia Led by SDAIA (2020–2026 Evidence)

Saudi Arabia has made AI a national priority aligned with Vision 2030. Strategic leadership and orchestration have been delivered by the Saudi Data & AI Authority (SDAIA) and the National Strategy for Data and AI (NSDAI). Few studies, however, operationalize how national objectives are translated into quantifiable execution across ministries, regulated sectors, and data ecosystems. Based on this, a proposed governance-to-execution framework in the Saudi context would be helpful because there is a need to integrate concepts such as (i) strategic alignment, (ii) national data governance, (iii) responsible AI controls, (iv) capability building, and (v) sector deployment pathways. This paper is developed through the execution of a structured synthesis of recent scholarship on national AI strategies and AI governance and Saudi policy artifacts that describe the NSDAI’s KPI orientation and SDAIA’s coordinating mandate. The paper contributes on three dimensions: a unique, testable set of objectives for the national level execution of AI, over and above generic claims of “innovation;” a KPI logic model linking policy instruments to adoption outcomes; and a risk-control matrix for ethical, legal, and operational governance of national AI. The findings stress that national AI success depends not only on funding and infrastructure but also on enforceable