{"id":21132,"date":"2025-12-18T21:39:08","date_gmt":"2025-12-18T16:09:08","guid":{"rendered":"https:\/\/www.artech.com\/?post_type=insight&p=21132"},"modified":"2025-12-18T21:39:08","modified_gmt":"2025-12-18T16:09:08","slug":"ai-skills-gap-banking-workforce-readiness","status":"publish","type":"insight","link":"https:\/\/stagecontent.artech.com\/fr\/insight\/ai-skills-gap-banking-workforce-readiness\/","title":{"rendered":"AI Is Becoming Standard in Banking. But Is Your Workforce Ready?"},"content":{"rendered":"

As banks rely more on AI for daily decisions,\u00a0those\u00a0whose teams can confidently work with, challenge, and safely grow these systems will benefit most\u00a0(not just those running pilot projects). This is when AI workforce readiness moves from being an HR task to becoming a core business strategy for AI in banking.<\/span>\u00a0<\/span><\/p>\n

Now that AI is central to digital transformation in banking, true progress depends on closing the AI skills gap and developing\u00a0digital banking\u00a0talent\u00a0alongside\u00a0investing in\u00a0technology.\u00a0<\/span>\u00a0<\/span><\/p>\n

That is exactly what this POV explores: how AI in banking, workforce readiness, and the AI skills gap come together to decide which BFSI leaders pull ahead.<\/span><\/p>\n

How Fast AI Is Moving\u00a0in Banking<\/span>\u00a0<\/span><\/h2>\n

Across industries, AI has gone from \u201cinteresting experiment\u201d to \u201ceveryday tool\u201d in just a few years. Reported use of AI increased in 2024, with\u00a0<\/span>78% of organizations now saying<\/span><\/a>\u00a0they\u00a0use\u00a0AI in at least one business function, up from 72% in early 2024 and 55% a year earlier.\u202f<\/span><\/p>\n

For professionals building careers in BFSI, this also reshapes role expectations and skill paths, a shift you can read about in our blog: <\/b><\/strong>How to Build a Successful Career in Banking & Financial Services in 2025<\/b><\/u><\/strong><\/a><\/p><\/blockquote>\n

AI adoption in banking sits at the\u00a0centre\u00a0of this curve, with AI supporting fraud monitoring, credit decisions, service interactions, and compliance tasks.\u00a0<\/span>\u00a0<\/span><\/p>\n

The money flowing into AI tells the same story.\u00a0<\/span>\u00a0<\/span><\/p>\n

Financial services firms are estimated to have spent about\u00a0<\/span>35 billion dollars\u00a0on AI in 2023<\/span><\/a>\u00a0and could reach close to\u00a097\u00a0billion dollars\u00a0by 2027.\u00a0<\/span>\u00a0<\/span><\/p>\n

Grand View Research suggests the AI in\u00a0banking\u00a0market could grow to more than\u00a0<\/span>140 billion dollars\u00a0by 2030<\/span><\/a>, implying growth of over 30% a year. In other words, AI in banking is steadily moving from \u201cinnovation initiative\u201d to core infrastructure in BFSI and is now central to banking technology trends.\u00a0<\/span>\u00a0<\/span><\/p>\n

Why People Decide Whether AI Pays Off<\/span><\/span><\/h2>\n

AI adoption in banking only creates value when people across departments know how to use it. Teams need to\u00a0identify\u00a0the right use cases, understand data, question AI outputs, and run models safely within regulations.\u00a0That’s\u00a0why leading firms now\u00a0treat\u00a0AI workforce readiness as a strategic priority, putting people and processes ahead of technology alone.<\/span>\u00a0<\/span><\/p>\n

Despite growing AI adoption in banking, many organizations still lack the skills to get the most from it.\u00a0<\/span>Only about a quarter feel ready<\/span><\/a>, while most struggle to scale value\u00a0(source: BCG). At the same time, AI skills demand is soaring, and banks face a serious tech talent shortage. They compete for scarce AI, data, and cloud skills,\u00a0and also\u00a0need to upskill their people. The banks that close the AI skills gap and build strong banking digital talent will keep up with where AI is heading.<\/span>\u00a0<\/span><\/p>\n

What Should\u00a0<\/span>You Do as a\u00a0<\/span>Banking Leader?<\/span><\/h2>\n

Today, AI in banking is as much about people as it is about technology. The most successful banks focus on AI workforce readiness, making sure their teams not only use AI tools, but also question and improve them in a regulated environment. This approach turns workforce strategy into a core part of\u00a0AI\u00a0strategy.\u00a0<\/span>\u00a0<\/span><\/p>\n

Three practical moves stand out:<\/span>\u00a0<\/span><\/p>\n