AI boosts customer service jobs, not cuts: Gartner survey
CONNECTICUT, UNITED STATES — Despite widespread fears that artificial intelligence (AI) could decimate customer service jobs, a new survey by Gartner, Inc. suggests the reality is far more balanced.
According to the study, AI is currently augmenting rather than replacing customer service roles, with many companies leveraging the technology to boost efficiency instead of cutting staff.
AI in customer service boosts efficiency, not layoffs
The Gartner survey, conducted in October 2025 among 321 customer service and support leaders, found that only 20% of organizations have reduced headcount due to AI deployment.
Meanwhile, 55% of firms report stable staffing levels even as they handle increased customer volumes. These findings challenge the narrative of AI-driven mass layoffs in the customer support sector.
“Customer service and support leaders should avoid framing AI initiatives solely around headcount reduction,” said Melissa Fletcher, Senior Principal, Research in the Gartner Customer Service & Support practice.
“Instead, focus on incremental transformation and workforce augmentation. Leaders should plan for new roles, leverage central resources, and communicate transparently about AI’s impact to manage expectations effectively,” Fletcher added.
The survey underscores that AI is being used as a tool to enhance productivity, rather than replace human agents. By handling routine tasks and optimizing workflows, AI allows customer service teams to focus on more complex and value-added interactions with clients.
New AI roles emerge amid digital transformation
Far from shrinking the workforce, AI is creating opportunities for specialized positions. Gartner found that 42% of organizations are hiring roles such as AI strategists, conversational AI designers, and automation analysts to support AI deployment and management.
Looking ahead, the research firm predicts that by 2027, half of the organizations expecting major AI-driven workforce cuts will abandon those plans, as fully “agentless” customer service proves difficult to achieve.
For the outsourcing industry, these insights carry broader implications. Providers of customer support and shared services can leverage AI to deliver higher-quality services without necessarily reducing staff.
This positions outsourcing firms to offer both cost-efficient and skill-enhanced solutions for clients seeking digital transformation, while simultaneously creating new employment opportunities within the sector. In effect, AI adoption may act as a catalyst for workforce evolution, rather than contraction, in the global customer service and outsourcing ecosystem.
