NatWest CEO Paul Thwaite Warns AI Will Replace Certain Banking Roles
The conversation around artificial intelligence and the future of work has moved from corporate boardrooms into the daily reality of millions of employees — and the banking sector is no exception. NatWest CEO Paul Thwaite made headlines in June 2025 when he openly acknowledged that AI will take over some roles that currently exist within the bank. Speaking at a business summit hosted by The Times, Thwaite stated plainly: "In effect there will be roles that currently exist that absolutely to all intents and purposes [will be] delivered by AI." While he stopped short of confirming whether the bank's overall headcount would shrink, his remarks reflect a broader and accelerating trend sweeping through global financial services.
What Paul Thwaite Actually Said — and What It Means
Thwaite's comments were notable for their directness. Banking leaders have historically been cautious about publicly linking AI investment to job displacement, preferring language around "transformation," "augmentation," and "efficiency gains." Thwaite's framing was more candid: certain roles, as they exist today, will simply be performed by AI systems going forward.
The Daily Mail, which also covered the remarks, noted that NatWest is actively hiring in software and AI-related positions — a signal that the bank is not retreating from its workforce but rather reshaping it. This pattern is consistent with what many economists describe as occupational churn: existing roles diminish while new, technology-adjacent roles emerge to take their place. The net effect on employment remains one of the most debated questions in the industry, and Thwaite deliberately left that question open.
What is clear, however, is that NatWest is not alone. Banks and financial institutions worldwide are accelerating AI investment at a pace that was largely unimaginable just three years ago, and the workforce implications are becoming increasingly difficult to ignore.
Financial Services Is Pulling Ahead in the Enterprise AI Race
A recent PYMNTS Intelligence report titled "Financial Services Pulls Ahead in the Enterprise AI Race" underscores just how aggressively the sector is moving. The report found that 85% of financial services and insurance firms with at least $1 billion in annual revenue plan to increase their AI budgets over the next 12 months. That is not a modest uptick — it represents a near-universal commitment among large financial institutions to deepen their AI capabilities in a very short window of time.
The report also identified the most widely adopted AI use cases currently in play across these firms:
- Revenue recognition and accounting close — adopted by 65% of surveyed firms, this use case automates one of the most labour-intensive and compliance-sensitive processes in finance.
- Credit risk assessment and scoring — used by 60% of firms, AI is now playing a central role in determining creditworthiness, a task that once required layers of human analysis and judgement.
- Sales forecasting and pipeline optimization — also adopted by 60% of firms, AI is reshaping how financial institutions anticipate revenue and manage client relationships.
The common thread running through these use cases is structure. As the PYMNTS report noted, the industry's most adopted AI applications cluster in structured, auditable back-office functions — the internal operations where data is abundant, workflows are repeatable, and human oversight can be supplemented or replaced with algorithmic precision.
Which Banking Jobs Are Most at Risk from AI?
Understanding which roles are most exposed to AI automation helps paint a clearer picture of what Thwaite's remarks mean in practice. Based on current adoption patterns and the nature of AI capabilities, several categories of banking work face significant disruption.
Back-office processing roles, including data entry, reconciliation, and compliance reporting, are already being automated at scale. These are exactly the kinds of structured, rule-based tasks that AI handles with high accuracy and far greater speed than human workers. Loan underwriting and credit analysis roles are also under pressure, as AI-driven scoring models become more sophisticated and more trusted by regulators and lenders alike.
Customer service functions are another area of rapid change. AI-powered chatbots and virtual assistants are handling an increasing share of routine customer queries, from balance inquiries to fraud alerts, reducing the need for large call centre teams. Even some roles in financial advisory and wealth management are beginning to feel the effects, as robo-advisory platforms and AI-generated portfolio recommendations become more mainstream.
The Skills That Will Remain — and Grow — in an AI-Driven Bank
While the displacement of certain roles is real, the growth of AI within banking also creates genuine demand for new skill sets. NatWest's reported expansion of its software and AI-related workforce is one concrete example of this dynamic. Roles in AI model development, data governance, machine learning operations, and AI ethics and compliance are all growing in importance.
Human judgement also remains critical in areas where AI has clear limitations — complex negotiations, relationship management with high-value clients, regulatory engagement, and strategic decision-making all require qualities that current AI systems cannot reliably replicate. Banks that invest intelligently in AI will likely refocus their human capital toward these higher-value, less automatable activities.
What This Moment Signals for the Future of Banking Work
Paul Thwaite's comments are significant not just for what they say about NatWest, but for what they signal about where the industry as a whole is heading. When a FTSE 100 bank CEO stands at a major business summit and states matter-of-factly that AI will take over existing roles, it marks a shift from cautious corporate messaging to open acknowledgment of structural change.
For banking professionals, the message is urgent: the time to understand AI, develop adjacent skills, and position oneself for the roles of tomorrow is now, not later. For regulators and policymakers, it reinforces the need for frameworks that support workforce transition alongside technological adoption. And for the broader public, it is a reminder that the AI revolution is not a future event — it is already reshaping one of the world's most influential industries, one role at a time.