NextFin news, On Wednesday, October 8, 2025, Jamie Dimon, CEO of JPMorgan Chase, gave an exclusive interview to Bloomberg, fully disclosing the bank’s AI strategy. Dimon revealed that JPMorgan Chase invests $2 billion annually in AI development, positioning AI as the core of its operational infrastructure rather than a pilot project.
Dimon emphasized that JPMorgan Chase, a global financial institution with 300,000 employees across 100 countries, has been integrating AI since 2012, initially in fraud detection and transaction monitoring. Today, AI permeates nearly every department, from risk management and trading to customer service and software development.
The CEO outlined the transformative impact of AI on jobs and workflows: reducing repetitive roles, creating new positions such as prompt engineers and AI project coordinators, and fundamentally restructuring job functions. This shift is not merely about layoffs but about retraining employees to keep pace with rapid technological change.
Financially, the $2 billion AI investment yields equivalent annual savings, driven by a 25% increase in customer service efficiency and a 30% reduction in service calls. AI automates contract reviews, risk flagging, and market research, freeing staff for higher-value tasks. Dimon highlighted that AI compresses work timelines significantly, accelerating project cycles from weeks to days.
JPMorgan Chase’s AI strategy is underpinned by organizational changes, including a senior AI and data team reporting directly to Dimon and the president, integrating AI into all executive discussions. The bank developed its proprietary AI platform, LLM Suite, which integrates external models, internal data, and business systems with updates every eight weeks.
The bank is deploying AI Agents capable of autonomously completing complex tasks, such as generating detailed investment presentations within seconds, a process that previously required entire teams working overnight. These Agents are being rolled out across investment banking, compliance, and other departments to serve as personalized AI assistants for employees.
Dimon identified data management as the biggest challenge, given JPMorgan Chase’s vast, historically fragmented data landscape. Over a decade, the bank has standardized and secured data to support AI integration, emphasizing that AI is now the operational “water” essential for the bank’s functioning.
In conclusion, Dimon stated that JPMorgan Chase is not merely using AI tools but rebuilding its entire operating model around AI. This transformation redefines banking by automating routine tasks, accelerating decision-making, and reshaping workforce roles, signaling a broader shift for large enterprises and financial institutions worldwide.
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