Widespread fears of AI-driven job cuts in customer service are not matching the reality on the ground. New research from Gartner finds that while some organisations are reducing headcount, most are redesigning frontline roles and assigning human agents higher-value work.
What Gartner Found
Gartner surveyed 321 customer service and support leaders worldwide between September and October 2025. The results challenge the "AI or humans" framing that has dominated public debate:
85% of service and support leaders are expanding human agent responsibilities as AI reduces contact volume
31% have implemented or are planning AI-driven layoffs through Q1 2027
80% report pressure to change workforce models as AI improves agent efficiency
63% are reducing frontline headcount gradually through attrition rather than layoffs
AI adoption is driving workforce redesign far more than mass elimination, a finding consistent with
Analysis by BCG Henderson Institute earlier this month also found that workforce redesign are not the story of mass elimination that many had been predicting. It estimated that 50% to 55% of US jobs will be reshaped by AI over the next two to three years, while only 10% to 15% face outright elimination.
Why Human Agents Are Becoming More Valuable
As AI absorbs routine queries, human teams are being redirected toward complex problem solving, escalations, retention conversations, advisory sales, and emotionally sensitive interactions. A separate Gartner survey uncovered that 54% trust human agents more than AI for product or service recommendations, compared with 32% who trust AI more. That gap reinforces the importance of finding the right balance between AI and human support in high-stakes moments where the wrong outcome is costly.
What This Means for Contact Centres and CX Leaders
AI reduces ticket volume, but it does not automatically remove the need for people. It changes what people do. Organisations that treat efficiency gains as an endpoint risk missing growth opportunities and may find themselves rehiring sooner than expected. In February 2026, Gartner predicted that by 2027, half of companies that attributed headcount reductions to AI will have rehired staff in similar functions under different job titles.
Eric Keller, Senior Director Analyst in the Gartner Customer Service and Support Practice, framed the choice plainly: "Service leaders must decide whether to simply do the same work at lower cost or to redeploy human agents into roles that AI cannot replace and that customers value most."
Practical priorities for CX leaders include redesigning agent roles before external pressure forces change, investing in coaching for empathy and commercial judgement, measuring the real ROI of AI beyond cost savings alone, and using freed capacity to drive loyalty and revenue outcomes.
The Bigger CX AI Trend: Augmentation Over Replacement
Gartner's data shows that 75% of service leaders are shifting agents into entirely new roles within their organisations. BCG's research reinforces this direction, arguing that workforce strategy must be embedded in competitive planning from the outset, not treated as a downstream consequence of automation. For contact centres looking to move from cost centre to growth engine, the next phase of CX AI maturity is not fewer people: it is better deployed people.
Failing to Plan is Planning to Fail
Organisations focused solely on labour savings risk missing the strategic upside of augmentation. Cutting too fast without a credible plan to redesign roles can create a cycle of disruption that ultimately costs more than it saves. AI success increasingly depends on designing the right human and AI workflow, not chatbot deployment alone.
Kathy Ross, Vice President Analyst in the Gartner Customer Service and Support Practice, put it directly: "Service and support leaders need a plan for how they will reshape their workforce for AI's impact, otherwise a plan will be handed to them."
Gartner's survey challenges the idea that AI simply replaces agents. For customer service leaders, the real question is no longer whether AI changes the workforce, but whether organisations will redesign roles fast enough to benefit from it.