Why Did Call Centers Lose Half Their Jobs Before Modern Artificial Intelligence Arrived?
Washington, Saturday, 14 November 2026.
US call centers hit 30-year employment lows in 2026, yet government data reveals half of the 235,000 lost positions vanished before ChatGPT even launched.
The Long Decline: Call Centers Begin Shrinking Before AI Arrived
Call centers in the United States have shed approximately 235,000 jobs since their peak in September 2016, bringing employment to its lowest level since 1994, according to preliminary Bureau of Labor Statistics (BLS) data analyzed by MacCus Analytics [1]. While generative AI has accelerated job losses in recent years, the structural decline predates the launch of OpenAI’s ChatGPT in November 2022. In fact, roughly half of the total job losses—approximately 119,200 positions—occurred between 2016 and ChatGPT’s debut, underscoring a steady, multi-decade shift driven by automation, offshoring, and the rise of digital self-service tools [1].
The Role of Traditional Automation and Offshoring
The contraction in call center employment began well before AI’s recent advancements. Between 1990 and September 2016, call center jobs grew steadily, but from 2017 onward, the industry experienced continuous decline. This period was marked by the adoption of automated phone systems, IVR (interactive voice response), and the offshoring of customer service roles to lower-cost markets such as India, the Philippines, and Latin America. Companies prioritized cost reduction and scalability, which led to a gradual but persistent reduction in domestic employment [1]. The decline was further supported by the proliferation of mobile apps and self-service portals, which allowed customers to resolve issues without human intervention. By the time ChatGPT launched in late 2022, companies had already been reconfiguring their labor models for years, laying the groundwork for even more aggressive automation strategies [GPT].
Accelerated Losses in the AI Era: 2022–2026
The introduction of generative AI tools, including large language models, significantly accelerated job losses in US call centers. Between November 2022 (ChatGPT’s launch) and September 2026, the industry lost an additional 116,000 jobs, representing a 34.7% decline in employment from January 2022 to September 2026—a period during which total private employment across the US rose by 6.1% [1]. The steepest annual losses occurred in 2022 and 2023, with the industry shedding one in ten jobs between January 2022 and November 2022 alone. By September 2026, call center employment had fallen to 307,000, down from its peak of 542,200 in September 2016 [1]. While the pace of job losses has slowed in recent years—with a less than 5% decline in the 12 months leading up to September 2026—the structural transformation is now deeply embedded in the industry’s labor model [1].
Geographic Disparities: Which States Were Hit Hardest?
The decline in call center employment has not been evenly distributed across the United States. Between 2019 and 2025, nearly every state experienced job losses, but some were disproportionately affected. Arizona, Ohio, and California each lost more than half of their call center jobs, while Florida saw the largest absolute decline in positions. Georgia was the only large call-center state to experience growth during this period [1]. These disparities reflect broader economic trends, including the concentration of legacy call centers in Rust Belt and Sun Belt states, as well as the impact of remote work policies that enabled companies to shift operations to lower-cost regions or automate entirely [GPT].
Broader Economic Implications: Automation’s Ripple Effects
The decline of call center jobs is part of a larger trend in the professional and business services sector, which includes industries heavily impacted by automation and digital transformation. According to the BLS, total employment in the professional and business services supersector (NAICS 54-56) remained relatively stable in 2026, with 22.496 million jobs in July and 22.604 million in October [4]. However, within this sector, industries such as administrative and support services—which includes call centers—have seen significant job losses. The BLS reports that gross job gains in the professional and business services sector were outpaced by gross job losses in recent years, with 1.334 million gains and 1.380 million losses in Q1 2026 alone [4]. This net decline underscores the broader economic shift toward automation and AI-driven efficiency, which is reshaping labor demand in customer service and administrative roles [4][1].
The Human Cost: Wages Rise, But Jobs Disappear
Despite the loss of hundreds of thousands of jobs, average annual pay for call center workers has risen significantly. From 2019 to 2025, average annual earnings for these workers increased by 45%, from $40,313 to $58,411, compared to a 34% increase for all private jobs [1]. This wage growth suggests that the remaining call center employees are either more skilled or are performing roles that require higher compensation, such as technical support or customer success management. However, the overall job market for traditional call center roles has become increasingly competitive, with Indeed’s US customer service job postings index falling 29% between November 2022 and November 2026 [1]. The unemployment rate for recent college graduates in Q3 2026 was 5.2%, with an underemployment rate of 42.5%, reflecting the challenges faced by workers displaced from declining industries [8].
What’s Next? Projections and Policy Considerations
Looking ahead, the BLS is scheduled to release its annual revision of the September 2026 employment figures in February 2027, which is expected to slightly increase the preliminary job loss estimates [1]. Additionally, the BLS will release figures for the year through September 2027 in November 2027, providing further clarity on the industry’s trajectory [4]. Goldman Sachs estimates that up to 6–7% of US workers could eventually be displaced by AI, though technological advances may also create new job categories and economic opportunities [9]. For policymakers and corporate leaders, the challenge will be managing the transition for displaced workers while ensuring that the benefits of automation are broadly shared. The Federal Reserve Bank of Cleveland has noted that unemployment increased more in AI-exposed occupations after generative AI tools became widely available, particularly affecting younger workers aged 23 to 30 [9]. This demographic shift highlights the need for targeted reskilling programs and workforce development initiatives to mitigate the economic impact of automation [9].