Generative AI Trends in Digital HRM
From HR assistant to AI-augmented HR professional.
Sri Lanka scenario
Ruhunu University wants to help final-year HRM students prepare CVs, interview practice plans, and career pathways without creating generic or misleading advice.
AI-HRM Opportunity Map
Teams choose one Sri Lankan sector and create a six-row opportunity map: HR area, pain point, AI idea, benefit, risk, and human review point.
- βExplain core GenAI trends in HRM
- βMap AI opportunities across the HR lifecycle
- βSeparate useful augmentation from risky automation
- βIdentify where human review is required
- βAI copilots for daily HR work
- βAI agents for workflow execution
- βPeople analytics moving from reporting to recommendations
- βSynthetic media for HR communication
- βHuman-in-the-loop governance becoming core HR literacy
- β Sri LankaβSingapore AI collaboration and capacity building
- β Singapore agentic AI governance
- β IndiaAI skilling ecosystem
- β WEF future-of-work reskilling agenda
Act as an HR digital transformation advisor. Create an AI opportunity map for a Sri Lankan hotel chain with 500 employees across Colombo, Galle, Ella, and Kandy. Map AI opportunities across recruitment, onboarding, learning and development, employee engagement, performance support, and HR operations. For each opportunity include: HR pain point, AI use case, benefit, risk, and human oversight needed.
- β’0β5 Pulse check
- β’5β12 Trend briefing
- β’12β22 HR lifecycle demo
- β’22β35 Team sprint
- β’35β45 Output critique
- β’45β55 Human-in-the-loop challenge
- β’55β60 Exit ticket
- !Do not rank real students or employees
- !Avoid uploading real CVs or personal records
- !Treat AI recommendations as draft analysis, not final HR decisions
- !Require human review for hiring, promotion, discipline, and termination