JPMorgan Chase & CoJPMorgan has earmarked roughly $19.8 billion for technology in 2026 and identified roughly $600 million in efficiencies, some AI-related.
JPMorgan has retained the top spot in the 2026 Evident AI Index for Banks for the fifth consecutive year, ranking first or second across all four of Evident's assessment pillars: talent, innovation, leadership and transparency. The bank has earmarked roughly $19.8 billion for technology in 2026, including continued investments in AI, data and infrastructure, and management believes these investments are already producing measurable value across credit, fraud detection and personalization. At the 2026 Company Update in February, CEO Jamie Dimon said its internal LLM Suite is used by roughly 150,000 employees weekly, with users estimating around four hours of weekly time savings, while more than 90% of Commercial & Investment Bank engineers use AI coding assistants and AI-driven transaction screening has more than doubled processing volumes and halved manual checks. JPMorgan has also doubled its AI use cases in production and identified roughly $600 million in efficiencies, some AI-related, though converting productivity gains into directly measurable earnings remains challenging. Among peers, Bank of America is scaling AI across customer service, software development and employee workflows, with AI coding tools lifting developer productivity by more than 20%, while Citigroup has more than 10,000 engineers using advanced AI tools, creating roughly 100,000 hours of weekly capacity, and AI-driven document processing has cut certain onboarding review times by 80%.
JPMorgan Chase & CoJPMorgan has earmarked roughly $19.8 billion for technology in 2026 and identified roughly $600 million in efficiencies, some AI-related.
Citigroup Inc.Citigroup has more than 10,000 engineers using advanced AI tools, creating roughly 100,000 hours of weekly capacity, and AI-driven document processing cut onboarding review times by 80%.
Bank of America CorpBank of America is scaling AI across customer service, software development and employee workflows, with AI coding tools lifting developer productivity by more than 20%.