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DataLgorithmics
DataLgorithmics Research Programme

Workforce AI Capability Index

Study practical AI capability across leaders, managers, business users, technical teams and governance functions.

Status: research / benchmark framework. No benchmark result, ranking or market statistic is claimed on this page unless it has been produced from a documented dataset and published methodology.

Measurement dimensions

AI literacy

Measured through defined indicators rather than a single unsupported score.

Role-based capability

Measured through defined indicators rather than a single unsupported score.

Safe usage

Measured through defined indicators rather than a single unsupported score.

Manager enablement

Measured through defined indicators rather than a single unsupported score.

Technical depth

Measured through defined indicators rather than a single unsupported score.

Governance understanding

Measured through defined indicators rather than a single unsupported score.

Research design principles

Define the population and sampling approach before interpreting results.
Separate self-reported maturity from observed operational evidence where possible.
Document scoring and weighting.
Protect participant confidentiality and aggregate results appropriately.
Publish limitations and uncertainty.
Version methodology when indicators change.

How organisations can participate

Organisations may be invited to contribute structured assessment data, interviews or evidence under an agreed research and privacy framework. Participation should not imply endorsement or commercial relationship.

Research methodologyAsk about participation