Technologies
Verizon Is Enlisting Google’s AI to Resolve Support Calls on the First Try
We spoke to Verizon’s consumer group CEO about how he sees Google Gemini revolutionizing customer service quality.
Verizon’s cryptic Project 624 flew under the radar until this week, when the carrier announced a new customer service program built on Google Gemini AI technology that’s intended to resolve issues on first contact. If it works as intended, subscribers should be able to avoid the time-sucking support slog that is often a hallmark of modern troubleshooting.
Sowmyanarayan Sampath, CEO of Verizon’s consumer group, laid out changes to the customer experience that went live Tuesday, which include a team dedicated to satisfying customers in their first call (called the Customer Champion team) and improvements to the My Verizon app that leverage Google Gemini AI technology. There’s also expanded live customer agent hours and 24/7 live chat and a larger footprint of physical Verizon stores. The company will also offer more perks and giveaways.
In an open letter laying out the carrier’s new customer service initiative, the consumer group CEO also included a direct email address, s.sampath@verizon.com, for customers to contact him.
But before we get into the specifics of what’s new, I wondered if the announcements were a direct reaction to the most recent quarter in which the company lost nearly 300,000 customers in the first quarter of 2025. Is the carrier boosting customer service to win back more subscribers?
«That’s a very fair question,» Sampath said. «The answer is quite straight: Every first quarter we lose customers, that’s the seasonality of the business. So this has nothing to do with our first quarter of business. This has to do with the two, three year transformation that we are in the middle of.»
He explained that improving customer experience is the next step after his prior efforts to revamp Verizon’s sales infrastructure and price plans.
Verizon may be the first carrier to get AI in its customer service platforms, but it’s not the only one thinking of including it. Last September, T-Mobile announced that it was partnering with OpenAI to include a new artificial intelligence offering to help customers, which would launch sometime in 2025. Whether Verizon’s system will get a leg up depends on what it’s got in store for helping subscribers get their essential questions answered.
Harnessing AI to create Customer Champions
Customer service for any industry is difficult, but that’s compounded for large mobile players like Verizon that provide connectivity for millions of customers across large swathes of area and technological hardware. And because phones have gained outsized importance in our lives, having something go wrong with one’s link to the outside world can ratchet up frustration.
«I get a lot of emails from customers every day, and they’re not pretty,» said Sampath. He estimates that 80% of the time, customers get their issue resolved on the first call. About 15% have to call again, maybe twice. «The last 5% go into a doom loop, and they are the most dissatisfied. It’s a very rough journey for them. We see it, and it’s not fair on them.»
To try to avoid that loop, Verizon is launching its so-called Customer Champion team that uses Verizon-customized Google Gemini 2.0 models to process calls, identify solutions and keep the customer updated throughout the resolution process. It’s an approach inherited from systems Verizon has been using for its enterprise customers.
«We’ve been doing that for a few months now in pilot [programs], and 90% of the time we solve issues the first time around,» he said. As the program proceeds, he hopes to get that number up to 95 or 96%.
Google Gemini is also an important part of an update to the My Verizon app. The AI-powered Verizon Assistant has been built with input from Google engineers and embedded with Verizon-specific context. As a practical example, the technology can enable Verizon to deal with problems proactively.
«If your phone is lost in transit, I know it because FedEx told me it didn’t get delivered,» he said. «Why do I need you to call me and let me know your phone got lost?»
In such a case, Verizon uses AI to identify the problem, automatically open a case and get back to the customer with a plan to resolve it. Sampath explained that Verizon essentially creates a small language model for each case, and compared that to the large language models (LLMs) that have more visibility in the industry right now. The small, bespoke models don’t have general knowledge around life.
«I don’t need to know what the Romans did,» he said. «I need to know why my bill went up. And we go ahead and do exactly that.»
LLMs, however, are not always known for their accuracy. Sampath said that a year and a half ago they were seeing a 30%-40% error rate, but that has now improved to «well north of 90% accuracy. And when it’s inaccurate, it’s only mildly inaccurate because of the way we do it. We don’t get crazy answers on [it].»
Expanding live customer support and store footprint
With this surge in using AI to handle customer issues, I naturally wanted to know if that would negatively affect Verizon staffing. If Verizon’s Gemini model can deal with most requests, does that take humans out of the loop and off the payroll?
«We’ve used AI to basically take cognitive workload off our employees so that they can focus their bandwidth and headspace on listening to customers better,» Sampath said. «That’s the right way for us to go. Look, if I need to take out costs, there are simpler ways for me to do it. I don’t need to deploy AI and all the complexity that goes with it. And for us, AI is all about problem solving.»
As part of this new customer support initiative, Verizon is expanding its live support options in several ways. Representatives will be available from 9 a.m. until midnight (local times) via phone calls, expanded from 8 a.m. until 9 p.m., and during the rest of the clock via live chat.
«[Stuff] happens when you least expect it, and I don’t want you to have to wait until the morning, because things can change,» he said.
The network of physical Verizon stores also plays a part, because «we want to be in your community,» Sampath said. He noted that Verizon is recommitting to the retail experience, having added around 400 new stores in the last couple years and plans to keep expanding the company’s brick-and-mortar footprint.
Verizon Access rewards platform
In today’s mobile provider environment, perks have become powerful incentives, with carriers offering extras from conventional add-ons like streaming services and in-flight Wi-Fi to the assortment of giveaways in T-Mobile Tuesdays. On this front, Sampath made a point of differentiating Verizon’s offerings from the competition.
«Look, we don’t give you $3 off your Little Caesars Pizza… you don’t get a large popcorn versus a medium popcorn. I’m sure there’s good value in that,» he said. «We give you bucket-list things you can do,» citing examples such as tickets to NFL games, Katy Perry and Beyoncé concerts.
Starting today through June 30, Verizon is giving away 35,000 free prizes in drops from its Verizon Access program, «anything from tickets to devices and a bunch of other things to keep our loyalty going.»
Technologies
Google races to put Gemini at the center of Android before Apple’s AI reboot
Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.
Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal
Technologies
Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’
Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.
Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle
Technologies
Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge
Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.
Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.
Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.
The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.
The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.
Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.
Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.
Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.
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