Verizon is deploying Google Cloud's Gemini Enterprise platform across its customer service operations, network management, and marketing functions, the company said Monday. The telecom giant said the AI rollout will handle the majority of inbound customer calls and chats, freeing support representatives to focus on more complex issues.
Alfonso Villanueva, Verizon's chief transformation officer, framed the move as part of a broader operational shift. "Serving each and every one of our customers by name requires working AI-first at every level," he said. "Our partnership leverages Google Cloud's AI and data capabilities across our organization to better enable our employees and keep our customers at the center of everything we do."
What Gemini Enterprise does for customer support
Verizon is building on its existing Gemini Enterprise for Customer Experience platform, which already handles a significant portion of inbound customer interactions. The company said the system will now expand to cover more call and chat volume, with AI agents resolving routine requests before they reach a human representative.
For customer support professionals, the shift means a changing mix of daily work. Routine inquiries - billing questions, account updates, service troubleshooting - are increasingly handled by AI. The remaining calls tend to be the ones that require judgment, empathy, and problem-solving skills. That's the work Verizon says it wants its reps doing.
The company is also using Google Cloud's data tools to modernize its marketing platforms, automating content creation and ad campaigns. Beyond that, Verizon plans to use Gemini Enterprise to coordinate AI agents across its core business functions and boost employee productivity. For those interested in how these systems are built and managed, AI for Customer Support training covers the fundamentals of deploying and supervising these tools.
Scale of the deployment
Verizon serves more than 100 million wireless connections, which gives a sense of the call volume involved. The company did not disclose specific performance metrics from its initial Gemini rollout, but said the platform has been handling a majority of inbound customer calls and chats.
That scale matters for support teams. When AI handles the bulk of routine interactions, the human team's role shifts toward complex cases, escalations, and situations where customers need a person. Supervisors also face new responsibilities: monitoring AI performance, spotting patterns in what gets escalated, and retraining systems when they fail. AI for Call Center Supervisors addresses exactly these management challenges.
Why this matters for customer support professionals
Verizon is one of the largest consumer-facing companies in the U.S., and its decision to push AI into the front lines of customer service is a signal for the industry. Support roles are not disappearing - they're being redefined. The reps who thrive will be the ones who can handle complex problem-solving and work alongside AI systems rather than compete with them.
For support professionals, the practical takeaway is to build skills in areas AI handles poorly: complex troubleshooting, customer de-escalation, and cross-functional coordination. Understanding how AI agents are configured, monitored, and improved will also become more valuable as more companies follow Verizon's path.
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