VZVerizon Communications Inc.

“We already have over $200 million of energy savings as a result of deploying AI into the network and looking how we can optimize on energy, and we're doing things now at industrial scale.”

“on the commercial side, we are in quite deep discussions right now with hyperscalers with alternative cloud providers, large enterprises to integrate our fiber, both dark and lit and our 5G assets to support their AI infrastructure efforts. And that can include data center connectivity, ability to help them with their training and inference. And that is the potential for multibillions in revenues, quite frankly. We'll have more specifics on that in the next 3 to 6 months.”

“we have been now for the past 3 months, you saw some of those results happen in this quarter. Looking at working with Sierra, ElevenLabs, Google, to start to put into place of voice agents into some of our customer service operations. Again, we are testing these models, and we are fine-tuning them. But what we are seeing already is a 1,280 basis point improvement in customer SAT scores year-over-year.”

“We're deploying quad code across our software development life cycle. This is not just around coding, but across the entire life cycle. We see opportunities to do an increase in our delivery by 40% plus, and we spend a ton of money on vendor support here, and we see our way to reducing those costs by over 70% as a result of what we're doing with AI.”

“We used to have in our network by the bill of material, it was over like 1 million different combinations. Think about the cost and the complexity around that using AI, we've driven that down now to about 20 kits.”

“85% of all of our issues right now are autonomously resolved. That means we are resolving issues for our customers even see them.”

“Our AI tech stack has 4 different layers to it right now. We have a data and intelligence layer where we're taking, again, formatting all of our data, and we have a huge amount of data that's both structured and nonstructured bring it into the right format layering on top of that, both LOMs and SLM. We've got a second layer, which is our development factory layer, which is kind of our middleware. It's where we gen up agents where we have agent building capabilities. We have a third layer to our stack, which is what we're calling runtime engines, which is where we deploy agents, we deploy business features and impact how we serve customers. And then surrounding all of that, we have a control plane, which looks at security, identity, guardrails, safety, observability, traceability, those kinds of things.”

“How do we take that so that we micro segment down to every single customer? We have an initiative inside the company. We call it every customer has a name, and that is about full microsegmentation. And that is where we will fully ingest all of our data, structured, unstructured, external data into creating customized propositions for every individual customer.”

“I would say we've recruited quite a number of AI savvy individuals into the company over the last 7 months or so. We've done more in the last 3 months than we've done in the last 3 to 4 years around this. We had a previous project on this that had a 4-year completion date. We, again, will be substantially complete on all of this by July.”

“We are working very closely with Google and Anthropic and other best-of-breed AI players to bring this to life. This isn't our own stack. We are using best-of-breed to go and make it happen. We're very close. Obviously, with Anthropic, we are part of glass wing.”

“We are working with Mythos and have been for some time across all of our cybersecurity efforts, and it has given us great insight in terms of what we need to do to continue to have the world's most reliable, secure and safe network.”

“We are going to be substantially complete with that entire AI tech stack by July, and we hope to be fully done by November.”

“I want us to be not an AI-first company. I want us to be an AI-native company. And I think there are 3 areas Were you going to see us utilize AI to its fullest. One is around operational efficiency, taking out costs, improving productivity, delivering more value to customers. The second, really important, I'll give some examples of this is customer satisfaction improvements. How can we better serve our customers through the use of AI? And then finally, how do we fully ingest AI capabilities into our value proposition?”

“We have put in place an ambitious company-wide transformation built around 10 major work streams. These work streams span everything from becoming an AI-first company to reducing friction in every step of the customer journey to reexamining outdated internal policies and procedures that slow us down and add to bureaucracy.”

“We have begun to embed AI and automation into our operations and customer interactions, which is already significantly improving customer experiences and lowering costs.”

“continuing to rationalize IT platforms, including AI enablement along with reducing the real estate footprint, both on the work side and the admin side”

“transformation program that is making Verizon an AI-first simpler, more efficient and more customer-centric company”

“the beginning of AI and naval processes and a tighter focus on fiscally responsible offers that drive profitable growth”