AI to eliminate nearly half of customer service jobs by 2030, Forrester finds
Forrester Research forecasts that 49% of current customer service jobs will disappear by 2030 as AI agents take over routine inquiries. The shift is already underway: AI handles 96% of inquiries at Anthropic, 90% at Heathrow Airport, and between 68% and 80% at companies like Rocket Money and TeamSystem.
The displacement is happening faster than previous rounds of automation driven by interactive voice response systems and chatbots. AI agents are now embedded directly in service operations, compressing traditional roles more quickly.
What changes for customer service workers
Frontline representatives will spend less time answering routine questions and more time supervising AI agents, handling exceptions, and providing feedback on system performance. Senior roles will focus on technical, complex, or relationship-driven work where automation is harder or costlier to implement.
High-volume contact centres-particularly in business-to-consumer settings-will see the steepest reductions in frontline staff. Lower-volume, complex environments in business-to-business operations will face less severe displacement because more cases require human judgment and longer resolution times.
New roles emerging
Customer service organisations will need more staff in analytics, insights, and AI governance. As automated systems generate detailed data on performance, cost, and customer outcomes, these functions will become critical.
How success is measured may also shift. Rather than focusing on call volumes and cost reduction, departments could increasingly be assessed on customer outcomes and how they support broader business goals.
Kate Leggett, Vice President and Principal Analyst at Forrester, said the change should not be treated as a simple headcount reduction.
"AI agents are not just reducing costs in customer service-they are redefining what customer service work actually is," Leggett said. "Leaders who treat this shift as a pure automation exercise will fall behind. The organizations that win will be those that redesign roles, invest aggressively in reskilling and continuous learning, and rethink how they measure success."
What workers need now
For customer service staff, technical fluency, data literacy, and the ability to oversee automated systems may become more important than traditional call-handling skills. Over the next two to five years, organisations are likely to reduce traditional roles while adding more data-driven and technical positions focused on oversight and customer value.
Workers closest to routine inquiry handling face the most pressure to retrain. Those who develop skills in AI for Customer Support and AI Agents & Automation will have clearer paths into the roles that remain.
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