TECHNOLOGY

How Banks Are Catching Up to Tech Trends

USAMon Nov 17 2025
Banks are finally stepping up their tech game. For years, they lagged behind other industries, especially retail, when it came to adopting new technology. But now, with the help of something called agentic AI, banks are keeping pace with the latest innovations. This shift is huge. Just a few years ago, banks were slow to adopt new tech. But now, they're making big changes fast. In the UK, almost 90% of customer interactions happen online. In the US, banks are close behind, even though they cover a much larger area. The COVID-19 pandemic sped up this change. Banks had to solve problems quickly, and this urgency has stuck around. Now, banks are solving problems in days that used to take much longer. Agentic AI is a big part of this change. It's helping banks speed up processes like loan approvals. These systems are targeting the slow parts of banking, like manual tasks and old systems. This is a big deal because banks have always been slow to change. But there's still a problem: old systems. Many banks spend most of their tech budget just keeping these old systems running. This leaves less money for new, innovative projects. The good news is that banks are starting to use something called semantic knowledge graphs. These graphs can help agentic systems understand and automate complex processes. This could help banks modernize much faster. Banks in the UK and the US are approaching this change differently. In the UK, the banking industry is more centralized, so changes happen faster. In the US, there are multiple centers of power, so changes happen in bursts. But both regions are feeling the same pressure: to modernize, reduce friction, and deliver instant digital experiences. Agentic AI is helping them do just that. It's no longer just a theory. It's becoming the new standard for banks that want to stay competitive.

questions

    What happens if an AI system in a bank develops a sense of humor and starts making financial jokes during transactions?
    Are the 'solutions' provided by agentic AI systems actually designed to create new dependencies on technology providers?
    If agentic AI can handle 90% of customer interactions, who will banks blame when things go wrong?

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