Generative AI and Workforce Transformation

As generative AI moves from experimentation to enterprise-scale adoption, the workplace is being reshaped. New requirements, new roles and new risks are emerging and how businesses respond will have long-term consequences. We spoke with Sarah Skeen, Partner, in our Employment team, to explore five big questions clients are asking as they prepare for the future of work in an AI-driven world.

Key takeaways include:

• HR and legal teams must be at the heart of AI strategy: As AI transforms how financial services operate, early and active involvement from HR and legal is essential to manage risks, shape inclusive deployment, and support long-term organisational change and not just technical implementation.
• AI is reshaping roles, not just removing them: Rather than a story of job loss, AI is driving role evolution. Organisations need to focus on reskilling, redeployment and transparency to support workforce transitions, while addressing new legal and ethical responsibilities.
• Responsible AI demands a people-first mindset: Diversity, inclusion and fairness must be integrated into AI systems from the outset. That includes thoughtful governance of recruitment tools, awareness of bias in datasets, and ensuring workforce strategies align with broader organisational values.

1. What’s changing — and why does it matter now?

The biggest shift is how quickly AI is becoming embedded in business-as-usual processes. What started as isolated pilot projects has become a wave of transformation encompassing almost everything from recruitment and onboarding to workflow automation and performance management.

Businesses are realising AI isn’t just about technology, it’s about people, and the risks and opportunities go hand-in-hand. AI can unlock huge gains in efficiency and innovation, but only if organisations bring their workforce with them. Failing to address issues, such as capability gaps, transparency, and trust could slow adoption and create internal resistance at a time when speed and confidence are critical.

The organisations that get AI transformation right are those that treat workforce readiness as a strategic priority, not an afterthought.

2. What’s the opportunity and what should clients be cautious about?

AI offers the potential to elevate the workforce by reducing the burden of repetitive tasks and enabling employees to spend more time on complex and nuanced responsibilities. It can empower teams to move faster, analyse more data, and deliver more personalised client experiences. But that’s only half the story.

The risks are real. When AI tools are introduced without clear communication or sufficient support, employees can feel disempowered or even displaced. There are also legal and ethical pitfalls — from discriminatory hiring practices driven by biased training data to unclear decision-making in performance management tools.

Organisations need to move fast, but they also need to move carefully. That means engaging HR and legal teams early, building clear governance around AI use in people processes, and ensuring leadership is visible and aligned on the approach.

3. How are financial services organisations responding?

There’s a clear divide between the firms implementing AI and those that are still hesitant. Whilst some are already using AI to redesign roles, automate documentation, and support knowledge work. Others are in the early stages of developing internal guidance or forming cross-functional steering groups.

One of the most consistent themes is the need for clarity around roles and responsibilities. Who owns AI implementation from a workforce perspective? Where do HR, IT and legal functions intersect? How do you ensure your governance frameworks are future-proof — not just for today’s tools, but for tomorrow’s capabilities?

The most forward-thinking organisations are starting to treat AI deployment as a people strategy challenge as much as a technology challenge. That shift in mindset is where the real progress happens.

4. What are the most pressing legal and ethical issues?

AI creates a new layer of complexity in traditional employment law. If an AI tool is used to assess performance or inform disciplinary action, can its decision-making process be audited? What happens if a recruitment algorithm produces biased outcomes, even unintentionally? And who’s liable when automated systems lead to errors or oversights?

Transparency and accountability are the big themes here as they are in other areas such as data privacy. Employees — and regulators — will expect to understand how decisions are made and to see that fairness, diversity and inclusion have been meaningfully considered in AI system design.

There’s also a growing expectation that businesses will proactively assess the impact of AI on their workforce and take steps to mitigate harm — whether through reskilling, redeployment or robust consultation processes. It’s not just about legal compliance; it’s about reputation, retention, and long-term value.

5. How can businesses prepare their workforce for what comes next?

Preparing for the future means shifting from a reactive mindset to a proactive strategy. This starts with involving HR and legal at the outset — not once the technology is already live. It means designing implementation roadmaps that consider not just what AI can do, but what impact it will have on people, roles and culture.

Employees need to feel confident using AI, but also confident that their employer is using it responsibly. That trust takes time to build — and it starts with transparency.

As AI continues to evolve, the most resilient organisations will be those that keep workforce transformation tightly aligned with business strategy, ethics and regulation. They’ll see AI not as a threat to jobs, but as a catalyst for reinvention — and a reason to invest in their people like never before.

At TLT, we help you ask the right questions—so you can deliver the right solutions for your people and your business.

Download our AI Legal Playbook to stay ahead of the risks, regulations and opportunities shaping the future of financial services.

This publication is intended for general guidance and represents our understanding of the relevant law and practice as at June 2025. Specific advice should be sought for specific cases. For more information see our terms & conditions.