AI Spending Gap Puts Korean Banks at a Strategic Crossroads
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A stark divergence is emerging in how banks approach artificial intelligence. By 2026, JPMorgan Chase plans to invest about $20 billion annually in technology—far exceeding the combined IT spending of Korea’s major commercial banks. The gap reflects not just scale, but strategic intent.
At JPMorgan, AI is already embedded across operations. Around 150,000 employees use proprietary large language models, while over 400 applications support functions from credit assessment to fraud detection and software development. The technology is no longer experimental; it is becoming operational infrastructure.
Korean banks, by contrast, have advanced more cautiously. While deploying chatbots and automated review systems, much of the investment remains incremental and often reactive—shaped by compliance needs or competitive pressure rather than a clearly defined long-term vision.
This difference is reinforced by how returns are evaluated. Korean institutions typically require measurable ROI before scaling, whereas leading global banks accept that AI benefits accumulate non-linearly, accelerating only after broad adoption. Early commitment, in this sense, becomes a competitive lever.
As Jamie Dimon has noted, banking is entering its most competitive phase in decades, with pressure from fintechs, big tech, and private credit. In this environment, AI is no longer optional.
For Korean banks, the question is increasingly direct: whether AI will remain a tool for optimisation—or evolve into the foundation of how the institution operates.
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