Companies in banking, hospitality, ride-hailing, and software have eliminated thousands of customer service jobs following the adoption of generative AI systems that manage real customer interactions.
Microsoft, Uber, and Commonwealth Bank of Australia have confirmed workforce reductions linked to AI in their support operations, according to sources familiar with their operations. Tier-one support roles, which address routine requests, are being phased out most rapidly.
Generative AI systems based on large language models can now handle nuanced conversations and escalate only complex issues to human agents, a capability earlier chatbots lacked.
AI Is Driving Customer Service Cuts Across Major Industries
Microsoft, a leading provider and user of customer service automation, has reduced its support workforce from approximately 50,000 to 40,000 in recent years, according to a source familiar with its operations.
Judson Althoff, who runs Microsoft's sales and service operations, said in April that AI is saving the company about $750 million a year in customer service costs.
"If something happened with little Johnny's Xbox in the middle of the night, we can now solve that with AI," Althoff said, adding that complex problems still require a human agent.
The support reductions came alongside broader layoffs. On July 6, Microsoft eliminated about 4,800 roles, roughly 2.1% of its global workforce, with the heaviest cuts in its Xbox and commercial divisions.
Chief People Officer Amy Coleman told employees those specific roles were not being replaced by AI, though she said AI is changing how certain tasks get done.
Uber has reduced its customer service workforce by 10%, citing a commitment to greater AI integration. Support requests are now routed through an AI chatbot in the app before reaching a human agent.
Commonwealth Bank of Australia, the country's largest lender, has eliminated hundreds of chat support positions since implementing AI, which sources say is saving the bank tens of millions of dollars annually.
Many affected workers were contractors at a Johannesburg call center operated by Nutun, whose contract was reduced as AI took on more tasks. A bank spokesperson noted that over the past six months, more than 140 roles have been added at Australia-based call centers.
Hyatt Hotels cut about 30% of its in-house guest services and support staff for the Americas in June 2025. A spokesperson attributed that reduction to changing patterns in guest inquiries and business needs, and said it was not related to AI. Separately, Hyatt has confirmed AI is now cutting its customer service costs.
Pat Nestor, who runs the chain's AI and data analytics operation, said automating simple requests such as reservation changes and receipt requests is reducing support spending, calling cost reduction "clearly a driver of an initiative like this." Hyatt relies on the AI startup Sierra, co-founded in 2023 by Bret Taylor, who serves as OpenAI's chairman.
Not every company has cut its workforce outright. Brinks Home used AI to cut call volume by about two-thirds, which let it shrink its call center staff from about 800 to 400.
Chief Information Officer Philip Kolterman said the company avoided firing most of those workers by moving several into other divisions and relying on natural attrition.
AI Is Pressuring Outsourcing Firms
Outsourcing firms providing tier-one call center staff are experiencing direct pressure. Teleperformance, which supports Brinks Home from Jamaica, has seen its stock price decline sharply, as have Concentrix and TTEC Holdings.
In its latest annual report, Concentrix noted that clients are replacing lower-complexity services with their own tools and warned that not updating its technology strategy could reduce revenue and profit margins.
Many customer service contract workers are located in countries with high English proficiency and lower wages, especially India and the Philippines. Ryan Teeples, chief strategy officer at 1-800Accountant, expects to reduce spending on outsourced staff by 50% next year by automating simple tasks with tools like Salesforce's Agentforce.
"I wouldn't want to be an investor in India or the Philippines right now, because that's where we are seeing the biggest cost savings from AI," Teeples said, noting the company will use these savings to hire more accountants, primarily in the United States.
Sales representatives at several technology companies, speaking anonymously, admit they often promote call center AI tools as a means to reduce labor costs. This contrasts with the industry's public message that AI is intended to enhance worker productivity rather than replace jobs.orrester's Projection
Forrester analysts Kate Leggett and Laura Ramos reported on May 20, 2026, that 49% of current customer service jobs are projected to disappear by 2030.
The report found that AI already handles 96% of customer inquiries at Anthropic, 90% at London's Heathrow Airport, 80% at TeamSystem, and 68% at Rocket Money.
Leggett noted that US customer service employment is already declining and will likely continue as automation increases. Globally, the largest reductions are expected in countries such as the Philippines, where Western companies have traditionally outsourced easily automated tasks.
What AI Customer Service Cuts Mean for the Sector
These companies demonstrate a consistent pattern in how AI is reshaping support roles:
- Tier-one support, which handles routine requests such as balance checks, flight changes, and store hours, is being automated first. Staff trained for complex or higher-value interactions are more likely to be retained.
- Outsourcing firms serving large clients face direct revenue pressure as clients deploy AI tools themselves rather than contracting the work out.
- Some companies redeploy affected staff through attrition and internal transfers rather than layoffs, though this approach is not universal.
The total number of AI-related job losses in the sector remains unquantified, and some reductions, such as Hyatt's June 2025 cuts, are attributed to factors other than AI.
Whether Forrester's projection of a 49% job loss by 2030 is realized will depend on how quickly automation extends beyond tier-one support, which is still where most companies retain human agents.
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