The companies already have measurable results. Google says a Gemini-powered customer-service system introduced in July 2024 and scaled by January 2025 contributed to a 40% increase in sales and a 95% answer rate for customer inquiries.
Internal use has also expanded: 82% of surveyed Verizon employees using Gemini reported a positive impact on daily work, while 74% said it saved them time.
Why scale matters
Verizon Consumer generated $106.8 billion in 2025 revenue and ended the year with roughly 116 million wireless retail connections, including 96 million postpaid connections. Verizon Business added another $29.1 billion in revenue.
That scale makes relatively small AI-driven efficiency gains material. Saving just one minute across 100 million customer interactions would eliminate roughly 1.67 million hours of handling time.
The calculation is illustrative, but the telecom industry already provides real financial benchmarks.
TELUS processes more than 22 million customer calls annually with Google Cloud AI. Google reports that the deployment helped resolve issues 87% faster and generated $53.9 million in annual operating savings.
Bell Canada has separately reported approximately $20 million in savings from AI applications in customer operations.
| AI deployment | Reported result |
| Verizon | +40% sales |
| Verizon | 95% inquiry answer rate |
| TELUS | $53.9M annual savings |
| TELUS | 87% faster resolution |
| Bell Canada | ~$20M savings |
From customer calls to AI agents
The new Verizon agreement goes beyond call-center automation. Gemini Enterprise can connect AI agents with corporate data and applications, allowing them to retrieve customer histories, search documentation, analyze information and execute multi-step workflows.
This represents the main change from Verizon's earlier AI deployments: Gemini is moving from assisting individual customer interactions toward operating across multiple business systems.
Verizon is also positioned on the infrastructure side of the AI boom. In January 2025, it launched Verizon AI Connect, targeting connectivity demand between data centers, cloud platforms and edge infrastructure.
The limit to automation
Verizon's own customer research highlights the risk. Its 2025 survey of 5,000 consumers and 500 executives across seven countries found 88% satisfaction with interactions handled mostly or entirely by humans, compared with only 60% for AI-driven interactions.
That 28-point gap suggests the most profitable model may not be replacing customer-service employees, but using Gemini to make them faster and better informed.
The numbers to watch after the broader rollout are therefore straightforward: cost per interaction, handling time, sales conversion, first-contact resolution and churn.
Verizon already has a reported 40% sales improvement from one Gemini deployment. The next test is whether those gains survive when Google AI is deployed across a telecom business with more than 100 million customer connections.
