Theme 01
AI Capability Measurement
Measuring how effectively people and teams actually work with AI — reasoning, iteration, judgment, and results — across three levels:
- Individuals
- Teams
- Organisations
Research
Research themes.
Our research is organised into nine connected areas, from measuring individual capability to building a global index.
Theme 02
AI Maturity
Assessing organisational readiness across the foundations that determine whether AI investment translates into capability:
- Governance
- People
- Data
- Processes
Theme 03
Organisational Transformation
Studying how AI changes the way organisations operate — decision-making, structure, workflows, and value creation.
Theme 04
Workforce Transformation
Understanding how AI reshapes work: the emergence of new roles and the shifting map of required skills.
- New roles
- Evolving skill needs
Theme 05
International Benchmarking
Comparing AI capability and transformation across a common framework:
- Countries
- Regions
- Industries
Theme 06
AI Capability Index
The long-term goal: a trusted, continuously refined index that makes AI capability comparable over time and across contexts.
Theme 07
AI Governance
Responsible AI in practice: oversight, accountability, risk, and regulatory compliance.
- Oversight
- Accountability
- Risk & compliance
Theme 08
AI & Innovation
How AI drives new products, services, business models, and research.
Theme 09
AI & Social Impact
AI's effects on society: equity, inclusion, and public value.