Despite universal daily AI interaction among customer service agents, UJET research reveals that 0% consider it critical to their success, with 93% confident they could perform their roles without it—a stark indictment of immature AI implementations bolted onto legacy systems that create friction rather than productivity gains. The core problem stems from siloed data sources and fragmented tool stacks (81% of agents juggle four or more tools), forcing agents to double-check AI outputs and handle emotionally charged interactions that self-service AI fails to resolve, ultimately driving 71% of agents to seek new employment within 12 months due to job security concerns. To reverse this trend, support leaders must shift from front-end automation focused on deflection to back-end integration that eliminates system complexity and contextual gaps, enabling AI to genuinely empower agents as brand ambassadors rather than replace them.
New UJET Research Shows That Despite 100% of Customer Service Agents Interacting with AI Daily, 0% Consider it Critical to Their Daily Success PR Newswire
New UJET Research Shows That Despite 100% of Customer Service Agents Interacting with AI Daily, 0% Consider it Critical to Their Daily Success Yahoo Finance Australia
Beyond surveying contact center agents, UJET expanded its product portfolio, extended its Google partnership and bought an analytics firm.
New UJET Research Shows That Despite 100% of Customer Service Agents Interacting with AI Daily, 0% Consider it Critical to Their Daily Success Yahoo Finance