10/06/2026
I recently read UNSW BusinessThink's "Regulating AI in Australia: Challenges and opportunities", a timely look at AI regulation in financial services. The takeaway: AI is only valuable when supported by structure, governance and clear direction.
The potential is real – efficiency, clearer analysis and better decisions but without a framework around it, value erodes quickly and risk compounds.
In financial services, the stakes are higher. We operate on trust, accountability, client data and professional judgement. AI cannot be adopted simply because it's available, impressive or convenient.
The obvious risks are easier to spot – inaccurate outputs and poor data handling. The harder ones sit underneath – embedded bias, over reliance on automation, weak audit trails and decisions shaped by systems no one can properly explain.
This is where practices need to lead. Internal governance, clear accountability and disciplined use of AI tools sit with the business adopting them, not somewhere further up the chain.
A practical starting point – keep your tech stack tight and review it regularly. Every new tool is another surface for risk, data exposure and unclear ownership. Fewer, well governed systems will always out perform a sprawling stack no one can fully explain and regulation will keep evolving.
Used well, AI is a strategic advantage. Used poorly, it introduces risk at a scale and speed many businesses aren't ready for. The opportunity is significant but only if we build the structure around it first.
https://www.businessthink.unsw.edu.au/articles/australia-ai-regulation-financial-services
