Call center jobs worldwide have gone net negative for the first time in over a decade. In the US, the decline is already outrunning anything a normal downturn would produce.
Global call center employment is now 5.3% below its December 2023 peak, according to a report from workforce analytics firm Revelio Labs, ending more than a decade of uninterrupted growth. Headcount has fallen year over year for eight straight quarters, a decline Revelio says started in high-income countries and lines up almost exactly with the rise of AI chatbots after ChatGPT’s launch. In the US, Goldman Sachs puts it in starker terms: call center employment is running 39% below where its own historical trend would put it. That’s the most AI-disrupted sector Goldman found anywhere in the developed world.
The Reddit thread that got people talking about this this week, a 386-point post on r/OpenAI with 53 comments, treats the shift as self-evident. The data mostly backs that up, though with more nuance than the headline number suggests.
Start with the occupation itself. Employment of customer service representatives fell by 130,180, or 4.8%, in the year through May 2025, according to Bureau of Labor Statistics data cited by Staffing Industry Analysts. That’s the steepest drop among any occupation the BLS flags as AI-exposed. It wasn’t a one-year blip, either. The broader group of 18 occupations the BLS considers exposed to AI covers roughly 10 million jobs. That group shrank 0.2% between May 2024 and May 2025, even as US employment overall grew 0.8%. Strip out the fast-growing category of medical secretaries, and the remaining 17 occupations fell 1.6% for the second year running.
Forrester’s forecast goes further out: it expects customer service representative jobs to drop 13.5% over five years, from about 2.59 million in 2025 to 2.24 million by 2031. The BLS’s own longer-range projection is more conservative, a 5% decline through 2035, but it explicitly names self-service apps, mobile tools and automation as the driver, not a cyclical slowdown.
Revelio’s most uncomfortable finding isn’t the headcount drop itself. It’s what happens to the people who lose these jobs. Only 10.8% of displaced call center workers who find new roles land in technical support, customer success, or software and data, the fields that would actually represent a step up. Half end up in other customer service, sales, or office jobs, usually for less pay. The promise that automation frees workers to move into higher-value roles isn’t showing up in Revelio’s numbers yet, at least not for most of the people it displaces.
The companies actually doing it, and the one that walked it back
Bloomberg Law reported that companies including Commonwealth Bank of Australia, Microsoft, Uber and Hyatt Hotels have used automated chat and phone systems to take over work that used to require people. In some cases they’ve already wiped out sizable chunks of their customer service operations, covering thousands of workers between them.
But the Commonwealth Bank case, reported by Bloomberg in August 2025, is worth sitting with because it cuts against the clean substitution story. CBA cut 45 roles in its Customer Service Direct unit, telling staff a new voice bot had reduced call volumes by 2,000 a week. The Finance Sector Union didn’t buy it. It took the bank to Australia’s workplace relations tribunal, and the picture that came out was the opposite of what CBA had claimed: call volumes were rising, not falling, and the bank had been quietly asking staff to work overtime and pulling team leaders onto phones to cover the gap. CBA reversed the cuts, apologized, and admitted its original staffing assessment was incomplete.
That’s a specific, checkable instance of an AI jobs claim that didn’t survive scrutiny. It doesn’t erase the aggregate numbers above: Revelio’s and Goldman’s data covers thousands of employers, not one. But any single company’s “AI replaced them” announcement deserves the same scrutiny a union gave CBA’s, before anyone treats it as proof of anything.
The optimist case has real survey data too
The counter-narrative isn’t just vibes. A Gartner survey from April 2026 found 85% of customer service and support leaders say they’re actually expanding what their human agents handle, even as AI absorbs the most repetitive, high-volume tasks. Think password resets, order lookups and after-hours scheduling, the stuff that makes up an estimated 60-80% of call volume at a typical center. The argument there is that AI is restructuring the job, pushing humans toward the harder, higher-judgment calls, rather than eliminating the role outright.
Both things can be true at once, and the data suggests they are. Headcount is down. The decline is concentrated and real, not a statistical artifact of a slow economy. But the job that’s disappearing fastest is the most scriptable tier of the work, and the survey data from the people actually running these operations says they still need humans for what’s left. For founders building AI voice and chat agents, that’s the market: not a total replacement pitch, but tools that absorb the bottom 70% of call volume while a smaller human team handles what’s left. For investors watching labor substitution as a thesis, call centers just became the first occupation with enough longitudinal data, across multiple independent sources, to actually test it against.
Also read: Startup Shutdowns Hit a Record in 2026, Mostly the ZIRP Class of 2019 to 2021 • How to Structure a Founder Loan to Startup Before a Bridge Closes • Valar Atomics Sues Its Own Early Investor Day One Ventures Over Rights
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