Human Resources SpecialistsvsTraining and Development Specialists

until most of the change has landed

High adoption

until most of the change has landed

High adoption

AI is screening candidates, answering employee queries, drafting policies and job descriptions and analysing pay data, while judgement on people stays human.

AI profoundly augmenting content creation, personalization, and performance tracking in L&D.

1. HR platform AI
2. Employee self-service chatbots
3. Candidate screening and matching
4. Generative drafting
5. Pay and workforce analytics
6. Regulatory pressure

1. Demand for Faster Skill Acquisition & Upskilling
2. Advancements in Generative AI (Text, Voice, Video)
3. Need for Personalized Learning Experiences
4. Growth of Digital Learning & EdTech Platforms
5. Pressure for Cost Reduction in L&D
6. Complexity of Global Workforce Development
7. Shortage of Highly Skilled Instructional Designers
8. Demand for Measurable Learning Outcomes
9. Focus on Employee Experience & Engagement
10. Digital Transformation in HR & L&D

1. Employee relations and investigation
2. Employment law and AI governance
3. HR systems proficiency
4. People analytics
5. Manager coaching and advisory
6. Change management and communication

1. Instructional Design Principles
2. AI/Generative AI Literacy
3. Learning Analytics & Data Interpretation
4. Ethical AI in L&D & Bias Mitigation
5. Project Management (L&D Focus)
6. Communication & Facilitation Skills
7. Content Curation & Quality Assurance
8. Adaptability & Continuous Learning

1. Workday
2. Greenhouse
3. Eightfold
4. Microsoft 365 Copilot

1. ChatGPT / Google Gemini / Jasper (for content creation)
2. Degreed / Cornerstone (LXP with AI features)
3. Workday Learning / SAP Litmos (LMS with AI features)
4. DreamBox Learning / Knewton Alta (Adaptive Learning)
5. Visier / Eightfold.ai (Talent Intelligence Platforms)
6. Curipod / MagicSchool AI (AI for teachers, content creation)