HR TRENDS 2025 (AIHR REPORT)
26AUG25 🗒 TECHNOLOGICAL TRANSFORMATION » AI shifts from adoption to adaptation – workers fear job displacement¹ » HR lags behind other functions: only 12% use GenAI vs 34% in marketing² » Skills mismatch widens: 44% of worker skills disrupted by 2030³ □ Provide AI training and governance frameworks □ Build digital confidence and risk management systems □ Invest in skills-based hiring and talent marketplaces
SHIFTING TALENT DYNAMICS » Blue-collar jobs boom as Gen Z seeks stability over tech disruption⁴ » Workers aged 75+ fastest-growing workforce segment⁵ » Gender equity gap persists despite 20% GDP boost potential⁶ □ Update job definitions for skills over degrees □ Create mentoring programmes across generations □ Remove structural barriers for women’s advancement
ORGANISATIONAL TACTICS » High anxiety from layoffs triggers employee disengagement⁷ » Success depends on execution, not just strategy⁸ » Employee engagement stagnant at 23% globally⁹ □ Balance cost control with employee wellbeing □ Embed HR within business operations □ Ensure feedback drives visible action
🗒 26AUG25
CBA U-turns on AI Job Cuts Summary
22AUG25 🗒 CBA reversed its decision to cut 45 call centre jobs after replacing them with an AI voicebot. Despite claiming the AI reduced call volumes, the bank admitted calls actually increased, forcing managers to scramble staff and offer overtime. The Finance Sector Union challenged the decision at Fair Work Commission, leading CBA to apologise and acknowledge inadequate assessment. The bank will retain the AI voicebot while inviting affected staff to stay or accept voluntary redundancy. Union leaders called it a victory against disguising job cuts as innovation.
Workers trust AI more than colleagues and managers
20AUG25 🗒 A new survey reveals that 38% of workers would rather have an AI manager than a human, and 45% trust AI more than their own colleagues. The survey also found that 34% of C-suite executives aren’t sure they can tell the difference between an AI agent and a human employee. This suggests a growing shift in workplace dynamics and a potential lack of understanding among leadership about the risks and implications of AI
