Governance

Capability-building

Developing R&D, algorithmic expertise, and research capacity.

How the laws define this

Both sources agree that capability-building involves strategic investments to enhance human expertise, technical resources, and institutional capabilities, specifically highlighting the creation of research and development centers. However, they diverge significantly regarding the ultimate scope and functional purpose of these capabilities. In Finland’s Age of Artificial Intelligence, capability-building is framed broadly as actions to strengthen algorithmic expertise, testbeds, and accelerators to advance general national AI competence and innovation. Conversely, 人工智能计量体系和能力建设指引（2026版） focuses its requirements strictly on supporting an AI measurement system. Under this instrument, capability-building entails targeted actions such as fostering talent in AI metrology, acquiring advanced testing equipment, and cultivating an ecosystem of measurement service providers to effectively implement and manage AI measurement infrastructure. Thus, while the Finnish vision addresses broad national innovation and competence, the other text restricts its baseline exclusively to metrological and measurement capacity.

Synthesised from the 2 statutory definitions below. Each one is quoted in full, with its source.

How jurisdictions differ

What is distinctive in each definition, binding law in force first.

Jurisdiction	Instrument	Status	What is distinctive
China	Guidelines for AI Measurement System and Capability Building (2026 Edition)	In Force	Adds focus on AI metrology talent, advanced testing equipment, specialized R&D centers, and measurement service providers ecosystem for implementing an AI measurement system.
Finland	Finland’s Age of Artificial Intelligence	Adopted	Limits to investments and actions strengthening R&D, algorithmic expertise, and institutional capabilities like research centres, testbeds, and accelerators for national AI competence.

What it triggers

China's Guidelines for AI Measurement System and Capability Building sets out strategic development of human, technical, and institutional resources for the AI measurement system.source
Finland’s Age of Artificial Intelligence sets strategic objectives and recommendations for investments to advance national AI competence and innovation.source

Definitions (2)

Denotes investments and actions to strengthen research and development, algorithmic expertise, and institutional capabilities (e.g., research centres, testbeds, accelerators) needed to advance national AI competence and innovation.

Finland’s Age of Artificial IntelligenceDefinition 1 of 2

The strategic development and enhancement of the necessary human, technical, and institutional resources to effectively implement and manage the AI measurement system. This includes fostering talent in AI metrology, investing in advanced testing equipment, establishing specialized research and development centers, and cultivating a thriving ecosystem of measurement service providers.

人工智能计量体系和能力建设指引（2026版）Definition 2 of 2

Not to be confused with

AI Competence Centers

AI Competence Centers are specialized R&D institutions advancing priority-domain AI capabilities, while capability-building encompasses broader investments in R&D, expertise, and institutional resources.

Capability centres

Capability centres are hubs providing AI expertise, tools, and training to adopters, whereas capability-building involves wider development of research capacity and ecosystems.

National AI Hub

National AI Hub is a coordinated infrastructure and programmatic initiative for AI, differing from capability-building's emphasis on developing human, technical, and institutional resources.

Questions and answers

What does capability-building cover under China's AI guidelines?

It covers strategic development of human resources like AI metrology talent, technical resources like advanced testing equipment, and institutional resources like R&D centers and service providers ecosystems. This aims to implement and manage the AI measurement system.

How is capability-building defined in Finland's AI strategy?

It denotes investments and actions to strengthen R&D, algorithmic expertise, and institutional capabilities such as research centres, testbeds, and accelerators. The goal is to advance national AI competence and innovation.

What resources are emphasized in these capability-building definitions?

China emphasizes AI metrology talent, testing equipment, R&D centers, and service providers. Finland focuses on R&D, expertise, and facilities like testbeds and accelerators.