AIORG-W013 Government & IGO research

Algorithmic Management in the Workplace: New Evidence from an OECD Employer Survey

OECD Artificial Intelligence Papers No. 31 · How Widespread Is Algorithmic Management in Workplaces?

intergovernmental working paper

Recorded claims
2
coded from the inspected source
Evidence classes
1
survey-or-synthesis
Recorded limitations
4
stated, never hidden

From the wave-0 evidence ledger

Recorded claims

Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.

In an OECD survey of more than 6,000 mid-level managers across six countries, reported algorithmic-management use was widespread but varied sharply by region, with roughly 90% of US managers, 79% in surveyed European countries, and 40% in Japan reporting at least one covered tool.

confidence: medium-high for reported survey; medium comparability survey-or-synthesis

Scope: Surveyed countries, workplaces, and definition of algorithmic management; not GenAI-only adoption.

About two-thirds of surveyed managers reported worker concerns, with unclear accountability among the most common; the report treats worker consultation and clear governance as responses but does not establish their causal effectiveness.

confidence: medium survey-or-synthesis

Scope: Covered algorithmic-management systems across surveyed countries.

Boundaries

Limitations & independence

Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.

Recorded limitations

  • More than 6,000 mid-level managers across six countries
  • Broad algorithmic-management definition includes some non-AI tools
  • Manager reports may not match worker experience
  • Cross-sectional and noncausal

Source independence

OECD employer survey independent of a single vendor; respondent managers report adoption and effects.