This chapter covers the key enablers of the deployment of AI to achieve the SDGs. Robust technological infrastructure, including high-speed internet, cloud computing, and reliable energy systems, forms the foundation for AI development and application. Supportive policy, guardrails and governance frameworks ensure ethical, transparent, and inclusive AI deployment, fostering innovation while addressing potential risks. Access to high-quality data is critical for training AI models and ensuring their effectiveness in solving specific challenges while maintaining data privacy and security. Education and capacity-building initiatives equip individuals with the skills and knowledge to leverage AI for sustainable development, reducing the digital skills gap and promoting inclusivity. Finally, multi-stakeholder partnerships among governments, businesses, academia, and civil society enable resource-sharing, knowledge exchange, and collaboration, ensuring that AI solutions are scalable and accessible to all. Together, these enablers create an ecosystem that allows AI to be a powerful tool in addressing global challenges and advancing the SDGs. Of course, all these enablers must be anchored and driven by an accountable, capable, ethical developmental state.