AI ecosystem

The combined set of actors (public administrations, private companies, civil society, research centres) engaged in AI development, deployment and governance; used operationally in the roadmap to scope stakeholders and coordinate activities across sectors and jurisdictions.

The network of stakeholders, infrastructure, and policies that support AI development, deployment, and governance, including government bodies, private sector actors, research institutions, civil society, and technical infrastructure (compute, data, networks). It encompasses institutional arrangements, funding, skills, and regulatory frameworks that enable an AI-enabled economy.

The combined network of stakeholders (government, private sector, academia, civil society), infrastructure (data centers, cloud), policies, standards, and resources that support AI development and deployment. The strategy uses this term to describe the holistic environment it aims to build and coordinate through MCIT and the NCAI.

The AI ecosystem denotes the network comprising research organisations, industry players, public services, digital innovation hubs, testing facilities, skills and talent pipelines and funding instruments that together support AI development, deployment and scaling across the EU.

Describes the interconnected components constituting national AI capacity — research, industry, infrastructure, data resources, skills development, and public services — that the policy seeks to develop, coordinate and support through institutions like AI HUB Poland and inter‑ministerial bodies.

The strategy defines the AI ecosystem as the collective network of government, industry, academia, civil society, and international partners that collaborate to advance AI development, research, deployment, and governance within Senegal. It encompasses institutional roles, partnerships, and coordination mechanisms needed to support the AI strategy's implementation.

The AI ecosystem is defined as the network of research institutions, industry actors, educational entities, government bodies, and civil society organizations that collectively contribute to the development, deployment, and governance of artificial intelligence in Serbia. It encompasses human capital, infrastructure, funding mechanisms, and collaborative arrangements that support AI innovation and adoption.

AI Ecosystem refers to the integrated network of talent, research, industry, infrastructure, and institutional actors that together support AI development, commercialization, and governance within Taiwan.

The combined research, industry, infrastructure and human capital elements (including universities, startups, data platforms, cloud/HPC resources, and workforce development) required to develop, deploy, and maintain AI capabilities within the national context.

A network of actors (public institutions, industry, academia, civil society), infrastructure (compute, labs), datasets, services and regulatory or institutional arrangements that together enable the development, deployment, commercialization and governance of AI. The Strategy uses this concept to align stakeholders and coordinate measures across sectors and institutions.

The interconnected network of public authorities, higher‑education and research institutions, private sector entities, infrastructure, funding instruments, standards and services that together support AI development, deployment and governance in Latvia. The Centre’s mandate focuses on building, coordinating and strengthening this ecosystem through partnerships, funding and capacity measures.

The interconnected set of private sector firms, public institutions, academic bodies and supporting infrastructure (such as data, compute resources and standards) that together enable the development, deployment and monitoring of AI technologies within Lithuania.

The interconnected network of stakeholders, infrastructure, policies, and resources — including research institutions, industry, government, and financing mechanisms — that supports AI development, deployment, and commercialization.

The collaborative network of public and private entities involved in AI development and adoption within the Basque Country, including companies (providers and users), technology and research centers, training institutions, and government bodies.

The interconnected network of stakeholders involved in AI development and deployment within Ho Chi Minh City, including research institutes, universities, technology companies, startups, investors, and government bodies, fostering collaboration and innovation.

The comprehensive network of entities involved in the development, deployment, and utilization of artificial intelligence, encompassing researchers, developers, manufacturers, users, and supporting infrastructure. The plan aims to foster the largest and most robust AI ecosystem globally to set international standards and secure economic and military advantages.

Defined implicitly as comprising research institutes, universities, startups, established businesses, government agencies, and data infrastructure, all working collaboratively towards common AI development goals. This network supports AI research, development, and commercialization.

AI ecosystems are envisioned as secure, accessible, and reliable environments that are crucial for fostering AI innovation, development, and widespread adoption within the APEC region. These ecosystems support the necessary infrastructure, policy frameworks, and collaborative environments for AI to thrive responsibly.