Governments play a pivotal role in the AI ecosystem. Success in the AI revolution is closely tied to political intent; higher ambitions are likely to attract both public and private investment. As custodians of national interests, governments shape markets through policy-setting, regulatory frameworks, incentives, funding initiatives and public-private partnerships (PPPs). Large enterprises are at the forefront of AI advancements across various sectors of the economy, often with limited governmental involvement. However, collaboration with the public sector, academia and other stakeholders is essential for inclusive AI growth. AI offers significant opportunities for enterprises to transform products and services, enhance experiences and revamp entire value chains. Large businesses have a responsibility to promote AI adoption within their workforce through partnerships with the government.Small- and medium-sized enterprises (SMEs) form the backbone of every economy, and their rapid adoption of AI can significantly boost growth and prosperity. However, many SMEs tend to be slow technology adopters and often lack early insight into the benefits and return on investment of AI. Conversely, tech start-ups are often the first adopters of AI and play a crucial role in shaping national AI inclusivity and data diversity, stimulating entrepreneurial talent and local innovation. Academia plays a crucial role in AI development and adoption. This spans from pioneering research in AI ethics to the development of AI education programmes created in partnership with government and industry partners. Its function is essential in bridging the gap between academic research and large-scale practical application. Civic society is an essential ally in ensuring AI development aligns with societal values and wider societal benefits. Organizations can identify potential inequalities exacerbated by AI, push for mitigating measures, hold governments and businesses to account, and encourage grassroots innovation in AI applications that address local challenges.1.2 Key stakeholders collaborating to deliver intelligent economies 1.3 Blueprint layers and strategic objectives The blueprint is organized in layers, each containing a set of strategic objectives. The purpose of each strategic objective is to highlight five capabilities that support AI initiatives at a national, regional and global level. Building the foundations for intelligent economies This layer of the blueprint covers the foundations upon which the new economic activities will be built. These include access to sufficient and sustainable energy resources to support the significant expansion of compute infrastructure, access to high-quality data, responsible AI models and efficient capital investment channels needed by intelligent economies. Build sustainable AI infrastructure: This objective is focused on building and maintaining the foundational infrastructure for modern digital networks, ensuring that AI technology is powered in an environmentally responsible and sustainable manner while being accessible and inclusive. Curate diverse, high-quality datasets: This objective is focused on the curation of available, accessible, diverse and inclusive high-quality data that considers the needs, characteristics, and cultures of a population and their languages. It also covers the creation of data governance, data protection and privacy frameworks. Develop responsible AI models: This objective encompasses the development of open-source or closed models, foundational large language, or smaller and tailored domain-specific models. It also explores the creation of AI model self-governance and regulation. Harness channels of AI investment: This objective is the key enabler of the foundational layer. Significant amounts of capital will need to be raised and efficiently channelled into impactful AI projects. New capabilities, such as public- private investment partnerships and the creation of specific AI infrastructure development funds, will be needed. Blueprint for Intelligent Economies 6

A Blueprint for Intelligent Economies 2025