Data Center Industry Faces Potential Loss of Nearly a Quarter of Workforce to Retirement
· GlobeWire Daily Tech Desk · Source: www.techradar.com

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A recent survey indicates that data center operators in the UK, Ireland, and Nordic countries could lose approximately 23% of their workforce to retirement over the next decade.
Research published by Onnec, based on a survey of 300 senior decision-makers in the sector, highlights a growing concern over the aging workforce at a time when industry expansion, driven by artificial intelligence, increases demand for personnel.
Regional Retirement Projections
The research outlines varying retirement expectations across different regions between 2031 and 2036, affecting an estimated 6,340 directly employed workers:
- United Kingdom: Expected retirement rate of 18.74%, representing 4,454 roles.
- Ireland: Expected retirement rate of 24.43%, equating to 813 roles.
- Nordic Region: Expected retirement rate of 28%, requiring 974 roles to be replaced.
Additionally, 10% of surveyed businesses anticipate that over 40% of their employees will retire within the timeframe.
Industry Implications and Proposed Solutions
Matt Salter, Global Head of Data Centres at Onnec, noted that while discussions often center on hardware, power, and GPUs, the human element remains vital for building and operating capacity safely.
To address the anticipated loss of experience and technical knowledge, the survey suggests exploring proactive measures:
- Implementing industry apprenticeships to attract new talent.
- Establishing mentoring programs to facilitate knowledge transfer.
- Creating clear career pathways to ensure experienced engineers can train successors before departure.
Verification and Practical Steps
Readers interested in workforce trends in specialized technical sectors can review original industry research reports and follow updates from data center analytics providers. Verifying official company announcements and labor market studies can offer further insight into how regional operators plan to manage upcoming staffing shifts.
AI-assisted reporting; source claims are attributed and have not been independently verified.
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