Why AI maturity in financial services is as much of a technology story as it is a talent story

When we discuss the growth of AI in finance, the conversations often fixate on the technology itself: the algorithms, models, and automation. But an emerging perspective suggests that the pace of AI implementation can be accelerated by involving younger, digitally fluent professionals.

This observation is data-backed by recent research by McKinsey, which finds that Millennials, followed by Gen Z, are set to drive AI adoption across organizations because they’re the most confident in using AI tools. Up to 90% of people in both groups report feeling comfortable using generative AI at work. That’s because these young professionals are innately attuned to the tech’s paradigms in their personal lives. A 2023 survey conducted by Goldman Sachs also found that 86% of the firm’s interns use AI tools in their day-to-day activities.

The question here is, how are leading institutions and their C-suite decision-makers aligning with this reality? And how can they turn this trend into a competitive advantage as they navigate emerging technologies and invest in upskilling their teams?

Empowering the next-gen, anchored by the C-Suite

Employees are eager for companies to invest in AI training that propels their success.

The research shows that nearly half of the employees are of the opinion that structured, formal training is the most effective way to accelerate AI adoption. Many also express interest in gaining hands-on experience through pilot programs or early-access tools. Additionally, recognition and financial incentives are seen as strong motivators to boost engagement.

However, there’s a gap between employee expectations and reality. Over 20% of employees report receiving little to no support in building their AI skills.

So, what steps can organizations take to move ahead from here?

Stories from the field: Financial firms leading in AI adoption and those still finding their way

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