Australia’s largest business bank is warning that the domestic economy now sits at a crossroads on artificial intelligence, with new NAB Research data showing a sharp split between early adopters and sceptics. Around 42% of small and medium enterprises are already deploying AI, mainly to streamline administration, sharpen marketing and support decision-making.
Another 14% of businesses intend to roll out AI tools, yet 16% say the technology will not help them, entrenching a divide in digital capability. Industries such as property (69%), finance and insurance (65%) and business services (61%) sit well ahead, while manufacturing (31%), retail (22%) and transport and storage (21%) lag.
Researchers point out that AI usage is beginning to embed in day to day operations rather than sit in test environments, echoing wider trends across corporate Australia. For NAB itself, AI has shifted from pilot projects into core workflows that target revenue growth, not just cost savings.
Bank executives argue that clients who experiment earlier are starting to win new customers, lift turnover and deliver stronger commercial results. That gap in performance is fuelling concern that smaller firms which delay investment risk losing market share to rivals already building AI capability.
NAB sees commercial upside in helping bridge that gap, positioning itself as both lender and guide for businesses trying to navigate AI adoption. Internally, the bank forecasts that roughly two in three Australian firms could embrace AI within the next year, provided they receive practical support.
Proposals floated to accelerate this uptake include federal tax incentives or write offs specifically tied to AI skills training, which would lower the cost of reskilling staff. Bank leaders also flag a need for tighter coordination between government, industry and financial institutions to turn AI deployment into a national productivity driver during a period of economic strain.
Artificial intelligence now sits at the centre of a brewing shake up in Australian banking, with major institutions racing to adopt new models as regulators grow uneasy. The latest wave of generative AI tools is reshaping how banks operate and compete, promising faster decision-making and sharper customer experiences for those that can harness it.
That same technology threatens to widen the gap between leaders and laggards, intensifying pressure across a sector already grappling with margin squeeze and regulatory scrutiny. Supervisors at APRA and ASIC, along with the country’s largest super funds, are all moving to confront the risks.
Recent Capital Brief reporting shows leading superannuation funds are teaming up to understand and manage AI’s impact, from investment decisions to operational resilience. Regulators are concerned that opaque models could introduce new vulnerabilities into financial systems they oversee, especially if adoption outpaces governance frameworks.
In parallel, large banks are being pushed to balance innovation with the need to "safely run the bank", embedding AI into critical processes without undermining trust. For boardrooms and executive committees, AI is shifting from an optional experiment to a non negotiable capability.
NAB is highlighting how quickly that shift is occurring, drawing on insights from recent meetings with US technology giants in Silicon Valley that are driving much of the change. Executives report that the speed and sophistication of the latest models surpass earlier expectations, compressing traditional multi year adoption timelines into much shorter windows.
Competitors in global markets are already deploying AI at scale in lending, risk modelling and customer service, raising the bar for Australian institutions that want to stay relevant. Within NAB, digital, data and AI teams are being elevated into core strategic functions, reflecting a belief that AI must underpin both competitiveness and customer experience.
The broader picture for Australian finance looks like a race to embed AI responsibly before overseas rivals set the standard. Banks, regulators and super funds are converging on a view that ignoring advanced models is no longer an option, yet using them without adequate controls carries its own dangers.
That tension is pushing the sector toward collaborative approaches, where institutions share insights on risk, governance and infrastructure rather than tackle each challenge in isolation. How quickly they move, and how carefully they manage that balance, will shape which players emerge stronger from this technological transition.
