Over the next five years, disruptive technologies such as AI, automation, and data-driven systems will continue to transform how financial services organisations grow, structure their workforces, and design roles. The scale of opportunity sits alongside equally significant challenges around workforce readiness, organisational redesign, inequitable adaptive capacity (the ability to change under stress), and questions of trust, regulation, and investment.
As organisations accelerate AI-enabled transformation, our commitment is clear: customers always remain our top priority. Technology is not an end in itself; it is a means to enhance the customer experience. Technology and human intervention work in tandem to deliver faster, more personalised and more resilient outcomes - without compromising judgement, accountability or care.
AI and machine learning continue to dominate organisational investment strategies. The Financial Services Skills Commission’s Future Skills Framework highlights how AI/ML, digital literacy, and data analytics have become core cross‑functional competencies embedded across job roles rather than siloed in specialist teams.
At the same time, while CEOs are making bold, AI‑driven growth bets, only a small fraction of initiatives currently deliver transformative results. This mismatch between expectation and impact is accelerating experimentation as organisations seek technologies that genuinely improve workflows and customer outcomes - not simply automate activity.
The biggest shift, however, is that AI is no longer simply automating tasks; it is increasingly becoming a co‑worker, augmenting human capability across all job families and fundamentally reshaping how work gets done. Crucially, our colleagues remain accountable - technology assists and elevates our work, but it never replaces professional judgement.
Disruptive technologies create significant potential for regional economic uplift, provided organisations invest early in digital infrastructure and human capability. Evidence continues to show that women in administrative and clerical roles often face higher exposure to automation and lower access to reskilling opportunities, reinforcing the importance of targeted, ethical and inclusive deployment.
The traditional job architecture, built around stable, hierarchical job families, will likely give way to more dynamic, fluid models where skills matter more than fixed roles according to commentators such as Josh Bersin.[1] This places a growing dependence on transferable skills and access. As a result, any widescale technology deployment must include targeted support for those with the lowest adaptive capacity.
Roles won’t simply be automated; they’ll be redesigned or reinvented. The most successful organisations aren’t those hiring technical specialists alone according to Gartner[2], but those redesigning workflows around AI, with teams that rethink processes end‑to‑end being twice as likely to exceed revenue goals.
The FSSC’s Future Skills Framework identifies adaptability, creative thinking, digital literacy, agile working, and empathy as critical capability areas. These are becoming foundational skills for everyone, not just technical workers – with many technical and digital roles now facing effective skill ‘half‑lives’ of as little as five years, requiring continuous reinvention and shifting learning strategies from lifelong to constant.
Bersin also suggests that workers will thrive not by mastering tools alone, but by building ‘talent density’ - a blend of analytical skills, design thinking, collaboration, and AI fluency that allows them to orchestrate complex systems rather than merely execute tasks.
Organisations investing in human capability see disproportionately higher performance and even market valuation benefits. That’s why cultural impact, mental strain from AI adoption, and trust erosion will otherwise stall technology investment unless organisations demonstrate clear, measurable ROI and invest equally in the human side of transformation.
Disruptive technologies will transform our sector, but not automatically for the better. The organisations that thrive will be those that:
- Invest early in adaptive and technical skills
- Redesign work around Human–AI collaboration
- Develop governance and trust from the outset
- Target support to workers with the lowest adaptive capacity
Technology will be the catalyst, but it is our workforce - and the choices we make about how technology is used - that will determine the outcome.
Nationwide Building Society are a gold sponsors of our Future Skills Conference 2026, organised in partnership with Financial Services Skills Commission. Mark will be speaking on a panel discussing how disruptive technologies will change our industry and workforce.
[1] Josh Bersin, 'The Rise of the Superworker: Delivering On The Promise Of AI', (January 2025) available at: https://joshbersin.com/2025/01/the-rise-of-the-superworker-delivering-on-the-promise-of-ai/
[2] Gartner, '9 Future of Work Trends for 2026', (January 2026), available at: https://www.gartner.com/en/articles/future-of-work-trends
