Call Centre Agents and AI
Exposure scores
What does an AI score of 8.5/10 mean?
Very high exposure: most tasks are susceptible to AI. That does not automatically mean job loss, because the score measures tasks, not jobs.
High AI exposure changes the work of Call Centre Agents substantially, but employment is expected to stay roughly stable. Where AI takes over routine tasks, the role shifts toward judgement, client contact and oversight.
What changes for Call Centre Agents?
The forecast starts from the national projection per occupational group and adds AI and robotics as separate layers. The band of -10% to +10% matters more than the midpoint.
I build with AI. And I track what it does to work.
I'm Simon Janssen, CTO and management board member at HappyNurse. This map shows, occupation by occupation, what AI does to work, based on official labour-market data rather than hype. On LinkedIn I share what I see as a CTO: what AI is already taking over, what it isn't, and what that means for people.
Customer Service and AI
Call Centre Agents belongs to the Customer Service sector. This sector has an education level index of 1/4, indicating lower formal education requirements. Occupations in Customer Service with high AI exposure tend to see significant task restructuring as AI tools handle information-intensive work.
Which AI tools are already making an impact?
Deepen the human side
AI is changing parts of this work, but the jobs are expected to remain. Focus on the tasks where human judgement, relationships or creativity are central: those become more valuable. Combine that with strong AI skills.
Personal development plan
Based on your sector (Customer Service) and AI exposure level, here are three concrete steps to future-proof your career.
AI handles tier-1 queries so you focus on complex cases
→ Zendesk AI, Intercom FinThe human touch becomes more valuable as AI handles the routine
→ ChatGPT, internal trainingAutomated QA catches issues across thousands of interactions
→ Zendesk AI, MaestroQA