Participant profile
| Code | Role | Level | Sector | Org. size | AI exposure |
|---|---|---|---|---|---|
| P1 | HR director | Senior | Manufacturing | Medium | Medium |
| P2 | HR business partner | Mid-level | Services | Large | High |
| P3 | HR manager | Senior | Technology | Large | High |
| P4 | HR technician | Mid-level | Manufacturing | Medium | Medium |
| P5 | HR business partner | Mid-level | Professional svcs | Large | Medium |
| P6 | HR director | Senior | Automotive | Large | Medium |
| P7 | Chief human resources officer (CHRO)/corporate HR director | Senior | Construction | Large | Medium |
| P8 | HR manager | Senior | Manufacturing | Medium | Low |
| P9 | Regional HR director | Senior | Technology | Multinational | High |
| P10 | People and talent manager | Senior | Industrial services | Medium | Low |
| P11 | HR admin manager (corporate) | Senior | Services | Multinational | High |
| P12 | HR product manager | Mid-level | Technology | Large | Medium |
| P13 | HR director | Senior | Professional svcs | Medium | Medium |
| P14 | HR technician/generalist | Junior | Manufacturing | Medium | Low |
| P15 | HR director | Senior | Automotive | Large | Medium |
| P16 | People director (shared services Centre, SSC) | Senior | Multi-sector group | Large | High |
| P17 | HR manager | Mid-level | Aquaculture/food | Large | Low |
| Code | Role | Level | Sector | Org. size | |
|---|---|---|---|---|---|
| P1 | Senior | Manufacturing | Medium | Medium | |
| P2 | Mid-level | Services | Large | High | |
| P3 | Senior | Technology | Large | High | |
| P4 | Mid-level | Manufacturing | Medium | Medium | |
| P5 | Mid-level | Professional svcs | Large | Medium | |
| P6 | Senior | Automotive | Large | Medium | |
| P7 | Chief human resources officer ( | Senior | Construction | Large | Medium |
| P8 | Senior | Manufacturing | Medium | Low | |
| P9 | Regional | Senior | Technology | Multinational | High |
| P10 | People and talent manager | Senior | Industrial services | Medium | Low |
| P11 | Senior | Services | Multinational | High | |
| P12 | Mid-level | Technology | Large | Medium | |
| P13 | Senior | Professional svcs | Medium | Medium | |
| P14 | Junior | Manufacturing | Medium | Low | |
| P15 | Senior | Automotive | Large | Medium | |
| P16 | People director (shared services Centre, | Senior | Multi-sector group | Large | High |
| P17 | Mid-level | Aquaculture/food | Large | Low |
Org. size: Medium = 100–999 employees; Large = 1,000–9,999; Multinational = 10,000+. AI exposure level reflects self-reported engagement with AI tools in HR at the time of interview. CHRO = Chief Human Resources Officer; SSC = Shared Services Centre. AI exposure refers to participants’ self-reported engagement with AI-enabled tools in HR work: low exposure indicates exploratory or occasional use; medium exposure indicates regular use of digital or AI-supported tools in specific HR processes; high exposure indicates direct involvement in AI-enabled analytics, automation, generative AI tools or HR technology implementation. The technologies participants referred to spanned generative AI and large language models (e.g. ChatGPT, Microsoft Copilot, Gemini and internally developed GPT-based assistants), predictive or analytics-oriented HR systems (e.g. turnover prediction and workforce dashboards) and rule-based automation embedded in HR information systems (e.g. SAP, Workday, SuccessFactors)
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