ANZ CEO Nuno Matos Warns of AI Risks and Declines to Rule Out Job Cuts

ANZ Group Holdings CEO Nuno Matos has signaled a cautious approach to artificial intelligence. He warned of societal risks and declined to rule out potential workforce reductions as the bank integrates the technology.

Matos’s comments highlight tension among financial institutions as they weigh operational efficiency gains against the unpredictable pace of AI development.

"At this point in time, it’s creating risks at a much higher pace than what their own builders and developers were thinking," said Nuno Matos, CEO, ANZ Group Holdings, in a recent statement.

Uncertainty in AI Deployment

Addressing the rapid evolution of large language models, Matos emphasized the lack of long-term clarity regarding the technology's impact on employment and infrastructure. He pointed to concerns raised by industry leaders, such as Elon Musk of SpaceX, Dario Amodei of Anthropic, and Sam Altman of OpenAI, who have advocated for rigorous safety standards and potential slowdowns in development cycles.

"I don’t know and I think whoever says something that is certain will lie to you; you don’t know. Nobody knows," Matos added.

Contrasting Industry Approaches

While ANZ is prioritizing a risk-mitigation framework, other Australian banks are moving forward with productivity targets. Westpac Banking Corp. has adopted an integration strategy, recently reporting that the deployment of five AI agents within its mortgage and consumer finance divisions is expected to eliminate 250,000 manual activities annually.

According to Westpac data, this automation is projected to free up 150,000 hours of staff capacity each year. The bank frames this as a mechanism to shift employees toward customer interactions rather than a precursor to immediate layoffs.

Operational Stakes for ANZ

For ANZ, which employs approximately 40,000 people, the integration of AI remains a delicate balance. The bank's leadership has not provided a definitive roadmap for how these technologies will affect headcount, noting that the disruptive nature of the tools makes long-term forecasting difficult. The bank is currently navigating how to reconcile the potential for cost savings through automation with the systemic risks identified by its executive leadership.