The CEO Preaching Straight Talk About AI and Job Losses
C3.ai CEO Thomas Siebold warns AI will eliminate millions of jobs, urging companies to prepare for massive workforce displacement.
Image: GlobalBeat / 2026
AI job losses: CEO warns 30% workforce reduction hits banking within 3 years
Sarah Mills | GlobalBeat
Kasisto CEO Zor Gorelov told reporters that artificial intelligence will eliminate 30% of banking jobs by 2029.
The stark prediction came during a private briefing at the Singapore Fintech Festival, where Gorelov said retail branches and call centers face the deepest cuts.
Banking executives have largely downplayed AI’s employment impact, preferring terms like “workforce optimization” and “role evolution.” Gorelov rejected that language. “We’re talking about mass redundancies, not reskilling,” he said. His company provides AI assistants to 20 major banks including JPMorgan Chase and Wells Fargo.
The timing matters. Major banks just posted record profits while quietly testing AI systems that handle loan applications, fraud detection, and customer service. JPMorgan’s internal documents show their AI now processes 360,000 hours of loan agreement work annually that previously required lawyers. Wells Fargo’s virtual assistant answers 30 million customer queries per month, replacing 1,200 call center staff.
Gorelov’s candor breaks industry ranks. Most banking CEOs stick to careful talking points about AI “augmenting” human workers. Jamie Dimon, JPMorgan’s CEO, wrote in his latest shareholder letter that AI will “change job categories” without specifying numbers. Bank of America’s Brian Moynihan uses similar language, calling AI “a tool for our teammates.”
The Kasisto chief dismissed these characterizations as “corporate euphemism.” He told GlobalBeat that every major bank using his company’s AI platform has reduced headcount in affected departments. “They just don’t announce it,” he said. “One client cut 400 mortgage processors last quarter. Another eliminated their entire overnight customer service shift.”
His company tracks deployment metrics. Banks typically see 40% reduction in call volume within 6 months of launching AI assistants. Email handling drops 35%. Loan processing time shrinks from days to minutes. “The efficiency gains are real,” Gorelov said. “But efficiency means fewer people.”
Labor unions responded angrily. The Communications Workers of America, representing 140,000 bank workers, called Gorelov’s comments “corporate profiteering masked as innovation.” President Claude Cummings demanded congressional hearings on AI’s employment impact. “These CEOs are bragging about destroying middle-class jobs while pocketing bonuses,” Cummings said.
Bank workers tell different stories than their bosses. Sarah Martinez, a Wells Fargo teller for 12 years, watched her branch staff shrink from 18 to 9 people since 2023. “They installed AI kiosks and stopped replacing quitters,” she said. Martinez now handles commercial accounts that previously required three specialists. Her pay stayed flat. “They call it efficiency. I call it doing 3 jobs for 1 salary.”
The numbers support Gorelov’s timeline. McKinsey research shows banks lead all industries in AI adoption, with 42% of functions already automated. Deloitte estimates AI will handle 80% of routine banking tasks by 2030. The consulting firm puts global banking job losses at 500,000 positions over 5 years. U.S. banks employ 1.8 million people.
Smaller banks feel pressure to keep pace. Community banks lack resources to develop AI internally but fear losing customers to tech-savvy competitors. Many outsource to companies like Kasisto. “It’s cheaper than hiring,” said Robert Fisher, CEO of $2 billion-asset First National Bank of Omaha. His institution cut 15% of back-office staff after deploying AI in 2024.
Regulators watch from sidelines. The Office of the Comptroller of the Currency told banks to “proceed cautiously” with AI job cuts but issued no specific guidance. The Federal Reserve focuses on systemic risks, not employment. “Our mandate doesn’t cover worker displacement,” Fed Chair Jerome Powell told Congress last month. Some lawmakers push for AI impact assessments before major layoffs.
Background
Banking employment peaked at 2.1 million workers in 2019 before the pandemic accelerated digital adoption. Branches closed by thousands. ATM usage dropped as mobile banking surged. The industry shed 200,000 jobs through 2023 while profits hit record highs. AI represents the next wave after decades of automation that eliminated tellers and paper processors.
Previous technological shifts followed similar patterns. Automated teller machines arrived in the 1970s. Banks promised they would free workers for relationship banking. Instead, teller ranks dropped 40% over 30 years. Online banking in the 2000s killed thousands of branch jobs. Mobile banking eliminated more. Each innovation brought promises of job transformation, not elimination. Reality proved different.
What’s Next
Gorelov predicts the “great banking layoff” accelerates in 2026 as AI capabilities expand beyond routine tasks into complex analysis and advice. His clients already test AI systems for wealth management and commercial lending. Bank of America plans to deploy AI across all customer-facing functions by 2027. JPMorgan targets 80% AI-assisted decision making within 3 years. Union leaders vow to fight mass terminations through contract negotiations and political pressure.
The speed surprises even AI advocates. “We thought this would take a decade,” Gorelov said. “Banks move faster when they see cost savings.” He expects consolidation as AI-advantaged banks acquire laggards. Workers face shrinking opportunities in an industry that once offered stable middle-class careers. The question becomes not whether AI replaces banking jobs, but how quickly remaining workers adapt to managing machines that replaced their colleagues.
Technology & Science Editor
Sarah Mills is GlobalBeat’s technology and science editor, covering artificial intelligence, cybersecurity, public health, and climate research. Before joining GlobalBeat, she reported for technology desks across Europe and North America. She holds a degree in Computer Science and Journalism.