Gartner Warns Against Cutting Support Teams to Fund AI
Over 50% of customer service organizations will double their technology spending by 2028, according to Gartner. The firm warns that many enterprises are making a costly mistake: cutting support staff to pay for AI investments before the technology can operate independently.
The assumption driving these cuts is straightforward. AI can handle routine queries, reduce labor costs, and improve efficiency. But Gartner's research shows most organizations still need skilled employees alongside their new tools-they're just reassigning them to different work.
Only 20% of organizations have reduced headcount because of AI so far. Yet some large companies have made aggressive cuts. Oracle laid off 30,000 employees in March to fund AI and data center investments, raising questions about the future availability of human support.
Why Automation Alone Falls Short
Customer problems rarely fit into neat categories. Many issues require context, negotiation, or exceptions-decisions that automated systems cannot make.
When companies remove human agents too quickly, service gaps emerge. Non-standard issues take longer to resolve. Customers repeat their problems to different channels. Complaints and regulatory attention follow, especially in compliance-heavy sectors.
Early-stage AI models need training, monitoring, and correction from skilled staff. They require oversight for data quality and integration work. Without human teams managing these tasks, accuracy suffers and errors spread across channels before anyone can contain them.
Customers also expect to reach a person when needed. Removing that option entirely can damage satisfaction and retention, particularly during high-stress or high-value interactions.
Realign, Don't Replace
Gartner recommends a different approach: shift staff into higher-value roles that support growth rather than cutting headcount to fund technology.
Organizations should focus on tools that improve specific outcomes-resolution speed, routing accuracy, knowledge management-rather than adopting AI for its own sake. Technology spending must match investment in implementation, oversight, and governance.
Most customer service leaders expect roles to evolve with AI, not disappear. Companies should reskill workers for quality control, governance, handling complex escalations, and monitoring AI systems. This requires careful planning, not rapid layoffs that disrupt operations and force costly reversals.
Combining strategic technology adoption with workforce evolution allows organizations to enhance service quality and free humans for work that matters-judgment, empathy, and decisions machines cannot make.
Learn more about AI for Customer Support and AI Agents & Automation to understand how to implement these tools effectively alongside your team.
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