AI Redundancy Toolkit · AULog in
global Customer service and contact centres · 13 Oct 2026

Global call-centre employment falls 5.3% from 2023 peak

New data shows call-centre employment has declined for eight consecutive quarters as AI reduces routine interactions and hiring slows.

Global call-centre employment is now 5.3% below its December 2023 peak, according to data reported in early October 2026. The decline ends more than a decade of employment growth and marks eight consecutive quarters of year-on-year falls.

AI automation is contributing by handling routine customer interactions, but the data indicates that reduced hiring—not mass layoffs—is the main driver so far. The trend sits alongside company-level cuts, including Salesforce reducing customer-support staffing from 9,000 to 5,000 using AI agents.

The findings suggest a gradual restructuring of customer service rather than a single wave of redundancies. Gartner has reported that only 20% of customer-service leaders had reduced agent staffing because of AI, while predicting that half of companies making AI-related cuts will rehire for similar work by 2027, often under different job titles.

For employers: Treat lower workloads and AI efficiency as evidence for a structured role review, not automatic grounds for dismissal. Before deciding that roles are genuinely redundant, document the work removed or materially changed, consult affected employees, and assess suitable redeployment or retraining options. This is particularly important where the likely outcome is a changed customer-service role rather than the disappearance of the underlying function.

Key points
  • Global call-centre employment was 5.3% below its December 2023 peak in early October 2026.
  • The sector recorded eight consecutive quarters of year-on-year employment declines.
  • AI is reducing routine interactions, but reduced hiring is the primary driver of the decline.
  • Gartner expects many employers that cut AI-affected roles to rehire similar roles under new titles by 2027.

For employers: Use AI-driven workload reductions to begin a documented role review. Establish whether work has genuinely disappeared, consult before deciding redundancies, and assess redeployment or retraining into redesigned customer-service roles.

Sources: AI Global Call Center Headcount Sits 5.3% Below Its 2023 Peak · Gartner Predicts Half of Companies That Cut Customer Service Staff Due to AI Will Rehire by 2027

General information for employers, not legal advice. Reporting summarised from the linked sources; confirm details with the primary source.