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T-Mobile is making a nine-figure bet on AI customer service

The carrier is investing $100 million in an OpenAI-powered customer-service solution.

Jack Raines

One of the bigger questions to emerge since ChatGPT was launched two years ago is which jobs will be most quickly replaced by generative AI. Two years later, one of the front-runners appears to be customer service. This year, weve seen more and more stories of companies increasingly turning to AI for customer-service solutions, such as Klarna’s AI assistant handling two-thirds of its customer-service chats in February 2024. On Monday, The Information reported that T-Mobile was shelling out $100 million to OpenAI over the next three years to build out “the first intent-driven AI-decisioning platform of its kind”: IntentCX. (The news of this deal broke in September, but the price tag wasn’t reported until this week).

According to T-Mobile, today’s customer-service options are limited because they “are rules-based and work from a finite set of data, and a fixed library of customer treatment options.” As such, “they can only offer an educated guess at the solution for a customer, and then have limited ability to actually take action.”

T-Mobile is training IntentCX on “billions” of data points from customer interactions, and because it will be integrated into T-Mobile’s operations and transaction systems, it will be able to take actions for customers.

While T-Mobile doesn’t explicitly say that it’s looking to replace customer-service representatives with artificial intelligence, it certainly implies that human contact soon won’t be needed for a lot of tasks:

“Proactive Action: IntentCX will connect directly to T-Mobile’s transaction and care systems, to preemptively identify and address customer needs and, where needed, execute tasks autonomously with customer permission. Not just AI-summarized information, but actual solutions.

Real-time decisioning: If a customer contacts T-Mobile about an issue with T-Mobile’s network or service, IntentCX will analyze T-Mobile’s network and service data in real-time and provide a solution that’s appropriate to the moment. This is an unprecedented approach to customer journey management.”

And T-Mobile may look to sell its customer-service software to other companies, too.

“Eventually, this technology could also offer other customer-obsessed companies worldwide the same opportunity to transform their approach to customer engagement, as the technology and business processes being created by this partnership have broad applications across customer-serving industries.”

A couple of thoughts here. First, this is a huge deal for OpenAI. The Information noted that this is one of the largest contracts the company has landed with an enterprise customer so far. If IntentCX is deemed a success, other companies could follow T-Mobile’s lead in 2025, benefiting OpenAI’s top line.

However, more broadly, T-Mobile’s investment marks a shift in how the world is thinking about customer service. T-Mobile is a $263 billion company, not a startup experimenting with different AI tools. If it has decided that AI customer service that automates many customer interactions is worth a $100 million investment, it’s safe to say that other large companies are probably considering automating their customer-service solutions, too, meaning that the days of talking to human representatives about your tech issues might be numbered.

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Uber launches “digital tasks” in the US, paying some drivers to train AI

Beginning later this fall, US Uber drivers will be able to earn money by completing short “digital tasks” like uploading restaurant menus or recording audio samples.

CEO Dara Khosrowshahi teased the new gig income stream back in June at the Bloomberg Tech conference.

At that time, Khosrowshahi said drivers and couriers were “labeling maps, translating language, looking at AI answers, and grading AI answers.” According to Thursday’s announcement, the tasks won’t be so focused on Uber’s business, but instead on connecting workers with “companies that need real people to help improve their technology.”

Per Uber, digital tasks can be done when drivers aren’t on a trip, be it at home or when not driving, and will take only “a few minutes” each.

At that time, Khosrowshahi said drivers and couriers were “labeling maps, translating language, looking at AI answers, and grading AI answers.” According to Thursday’s announcement, the tasks won’t be so focused on Uber’s business, but instead on connecting workers with “companies that need real people to help improve their technology.”

Per Uber, digital tasks can be done when drivers aren’t on a trip, be it at home or when not driving, and will take only “a few minutes” each.

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Apple TV dropped the “plus” as streamers keep pulling back on originals

After the spray-and-pray approach led to a wave of cancellations, Hollywood is settling into an era of just making fewer shows.

Hyunsoo Rim10/15/25
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The average price of a new vehicle in the US passed $50,000 for the first time ever in September

The average price of a new vehicle in the US surpassed $50,000 in September, according to Cox Automotive’s Kelley Blue Book.

At $50,080, that’s the highest industry average ever, reflecting the price hikes faced by new car buyers in recent years amid pandemic supply shortages, tariff-induced increases, and the high cost of EV production. The figure marks a 3.6% jump from the same month last year.

“Tariffs have introduced new cost pressure to the business, but the pricing story in September was mostly driven by the healthy mix of EVs and higher-end vehicles pushing the new-vehicle ATP into uncharted territory,” Cox executive analyst Erin Keating said. Passing the $50,000 mark was inevitable, Keating said, especially considering that the country’s bestseller is a Ford truck that “routinely costs north of $65,000.”

Year over year, new vehicle prices rose nearly 6% for GM, while Ford’s climbed 2.5%. Volkswagen new prices were up 12.5%.

As prices climb, so do delinquencies on loans to borrowers with lower credit scores. Recent data from Fitch Ratings shows the portion of subprime US auto loans 60 days or more overdue reached 6.43% in August.

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