Chime Financial is cutting about 150 jobs, roughly 10 percent of its workforce, as the digital bank reorganizes around artificial intelligence and the discipline required of a publicly traded company, according to Bloomberg and PYMNTS. The layoffs reflect a growing pattern: technology firms shedding staff to invest in AI while tightening operations.
In a memo obtained by PYMNTS, CEO and co-founder Chris Britt said the company is reorganizing to develop new AI capabilities, create smaller teams that can move faster, and adopt the operating discipline expected of a public company. Chime has been leaning heavily into automation, reporting that 70 percent of member support interactions now run through AI-powered voicebots and chatbots. AI-assisted coding accounts for 84 percent of code shipped internally, helping improve product development speed.
Broader wave of AI-driven cuts
The move is part of a wider trend across technology. PYMNTS reported that U.S. tech companies have announced nearly 140,000 job cuts so far this year as firms invest in AI while streamlining operations to boost productivity. Earlier this month, Visa confirmed plans to eliminate about 2,600 positions, roughly 7 percent of its workforce, primarily in technology and product teams, shifting resources toward consumer payments, commercial and cross-border payments, stablecoins, and other growth initiatives. Visa said AI-driven efficiencies helped enable that restructuring.
For operations professionals, the message is clear: AI adoption is no longer an experiment but a structural shift. Chime's use of AI for customer support - handling the majority of member interactions through automated voicebots and chatbots - demonstrates how companies are scaling automation to reduce headcount while maintaining service levels. At the same time, the emphasis on smaller, faster teams points to a rethinking of operational workflows, not just cost-cutting.
What the restructuring means
Britt's memo linked the layoffs directly to three priorities: building new AI capabilities, shrinking team size for speed, and adopting the rigor of a public company. Chime has not yet set a date for its initial public offering, but the restructuring signals preparation for greater scrutiny from investors and analysts. The company's internal metrics - 70 percent of support interactions automated, 84 percent of code AI-assisted - suggest that operations and engineering teams are already deeply intertwined with AI tools.
Why this matters for operations teams
Operations professionals should watch how Chime and other companies use AI not just to cut costs but to redesign how work gets done. The shift to smaller, faster teams means that operations roles will increasingly involve managing AI-driven processes rather than performing manual tasks. Skills in AI for operations - such as configuring automation, interpreting AI analytics, and aligning tools with business objectives - are becoming baseline requirements. The 140,000 tech job cuts this year are a signal that operations staff who understand AI deployment will have an edge, while those who don't risk being displaced by the very systems their companies are building.
Your membership also unlocks:
