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Verizon believes that AI will reshape customer service roles

Verizon's CEO Dan Schulman has publicly committed to deploying AI across customer service operations, positioning the technology as capable of handling a "large percentage" of work currently managed by human representatives. His framing distinguishes between routine queries—password resets, billing checks—which AI can resolve autonomously, and complex requests requiring human-AI collaboration. This isn't speculative positioning; Verizon has already begun implementation, having cut 13,000 roles last year whilst allocating $20 million to reskill 7,000 employees through training in prompt engineering and AI agent creation. Schulman's candour about workforce displacement, coupled with his emphasis on transparency with staff, signals that enterprise-scale CX transformation is no longer theoretical. The question for teams already operating within mature platforms like Zendesk or Salesforce Service Cloud is whether their current automation strategies adequately prepare them for this shift—or whether they risk being outpaced by competitors moving faster on agentic AI deployment.

Schulman's strategy reveals a deliberate separation between cost reduction and customer value creation. Rather than framing AI purely as a headcount play, he positions it as a competitive differentiator, arguing that "anybody can compete on price" but differentiation comes through superior value propositions. This distinction matters for CX leaders evaluating their own AI roadmaps. The risk isn't that AI will eliminate support roles wholesale—it's that organisations failing to architect human-AI workflows thoughtfully will create fragmented experiences that frustrate customers and waste the efficiency gains AI promises. Schulman also acknowledged Verizon's internal friction: a "big, bureaucratic company" resistant to speed and outcome-focused decision-making. This cultural constraint is arguably more consequential than the technology itself. For support teams and administrators, the implication is clear: technical capability alone—whether through Freshdesk's AI features or custom integrations—won't deliver results without organisational willingness to decentralise decision-making and tolerate calculated risk-taking in how AI agents are deployed and refined.