UK reward metrics · Governance & Transparency

How do UK organisations handle aI use in reward benchmarking?

Source lumi HRBase 265 organisationsFieldwork 2026 H1

60.8%No

60.8% of organisations in the lumi HR community answered “No” on aI use in reward benchmarking (base: 265 UK organisations, 2026 H1).

Figures describe organisations in the lumi HR community, not a random sample of UK employers.

How UK organisations answered

Yes — embedded in process 10.9% Piloting 12.8% Exploring 15.5% No 60.8%
AI use in reward benchmarking (base: 265 organisations, 2026 H1). Percentages percentages may not sum to 100 because of rounding.
AI use in reward benchmarking: share of organisations by answer
AnswerShare of organisations
Yes — embedded in processrare10.9%
Pilotingrare12.8%
Exploringrare15.5%
Nocommon60.8%

Common, alternative and rare describe how each answer sits against the community: the most chosen answer is common; an answer chosen by fewer than one in five organisations is rare.

Definition

Captures how far AI tools are used in reward benchmarking or market analysis, from embedded in process to exploring. See the methodology for how the base is built, how not-applicable answers are handled, the public floor, and which organisations are excluded.

Cite this figure
Source: lumi HR, UK Reward Metrics, September 2026, lumihr.co.uk/metrics/ai-use-in-reward-benchmarking
Last updated 19 September 2026 · Data licence: CC BY 4.0 for the figures in the CSV download.

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