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Are your financial services teams ready for AI?

From soft skills to AI ethics, uncover three priorities for upskilling, cross-skilling, and reskilling your financial services teams in the era of AI.

Oct 2, 2025 • 3 Minute Read

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When it comes to adopting AI, the financial services industry is poised to outpace other industries. 90% of FinServ leaders say they’re allocating more budget to AI tools that enable their business to better integrate, access, and analyze data. They know that AI can help them innovate and improve customer personalization. 

But even with all the benefits that AI promises to bring the industry, FinServ organizations aren’t yet fully embracing the technology.

Our research shows that only 33% of organizations have a vision for AI that extends a year or more into the future, and more than half lack clear and actionable goals for AI. This comes at a time of increased competition, cost pressures, and rapid change. 

To bridge the AI readiness gap, you need to prepare everyone in your organization to use the technology effectively. This requires helping teams learn entirely new skills, deepen knowledge in their current role, and broaden existing skills beyond their core specialties.  

AI adoption: 3 upskilling priorities for the financial services industry

Focus on these three areas when upskilling your teams for AI.

Technical skills

First, bolster technical skills around AI–even for non-technical roles. Everyone should understand how AI models function and how to interpret AI-generated insights. 

This knowledge isn’t just for data scientists anymore–it’s critical across disciplines to help teams envision how they can and can’t use AI. Employees need to not only understand how AI works, but how it can work for them.

Human-centric skills

While emotional intelligence, problem-solving, and ethical judgment have always been crucial soft skills, AI-driven workflows especially require human-centric skills.

To help employees develop these skills, develop training programs that enhance communication, creativity, and adaptability. The human element is crucial to successful AI adoption.

AI ethics and governance

Nearly 72% of financial services organizations say that responsible AI is one of their most important priorities. Arming employees with AI ethics and governance knowledge is a must-have. 

As a starting point, train employees in AI ethics, bias mitigation, and compliance. This ensures they use AI responsibly, adhere to your organization’s policies, and align with industry regulatory standards.

It also builds trust with employees. They know how AI will be used within the organization and where it doesn’t have a place.

3 strategies to help your teams move faster with AI

It’s clear that AI will continue to evolve. Employees will need to keep up with the changes to use it to augment their roles, deliver a better customer experience, and drive greater efficiency within teams. 

Consider these workforce strategies as you roll out AI in your FinServ organization.

Augment human expertise with AI

Your greatest asset is your people, and AI can augment their best work. Design workflows where AI automates mundane tasks so employees can focus on making the most impact.

For example, use AI to handle simple customer questions or routine tasks. This empowers customer representatives to handle more complex interactions that require empathy and critical thinking.

Redefine roles for the AI era and implement change management

AI is a major shift, and it requires organizations to rethink roles in the context of AI. This kind of change is a journey. To help employees navigate it, implement clear change management strategies that help them understand AI’s value while building AI literacy across the organization.

Create a culture of learning that empowers your teams

Only 19% of organizations have incorporated AI skills into day-to-day work and training across all departments. As you upskill employees in AI, you can also use AI to enhance the learning journey.

Skill development platforms can identify skills gaps and recommend personal learning paths, as well as provide hands-on experience with labs and sandboxes. 

While AI can be exciting because it offers so many ways to optimize and automate mundane tasks, it can also be unsettling for employees as they begin to redefine their roles and shift their way of thinking.

As a leader, you can support your teams by investing in strategies that simultaneously build AI intelligence and confidence. 

If you’re not sure where to start your AI transformation, use our 12-question index to assess your readiness.

Arm yourself with more knowledge for the AI journey ahead

Looking for practical steps to help your financial services teams prepare for AI? Uncover best practices and strategies for powering the next era of financial services in our ebook. Get the guide.

Pluralsight Content Team

Pluralsight C.

The Pluralsight Content Team delivers the latest industry insights, technical knowledge, and business advice. As tech enthusiasts, we live and breathe the industry and are passionate about sharing our expertise. From programming and cloud computing to cybersecurity and AI, we cover a wide range of topics to keep you up to date and ahead of the curve.

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