A new industry study has highlighted a widening gap between AI adoption and governance in Australia, showing that many organisations are deploying AI faster than they are building the controls needed to manage it responsibly.
The research surveyed 318 business decision-makers in Australia and 220 in Singapore. It found that only 21% of Australian organisations are scaling AI across business functions. Meanwhile, 42% are still experimenting, 30% remain in pilot programmes, and only 8% have fully embedded AI into their operations.
In comparison, Singapore reported higher AI maturity. The study found that 37% of organisations are scaling AI across functions, while 14% have fully integrated AI into their operations.
The report describes this trend as an “autonomy paradox”, where organisations are increasing AI decision-making while governance, trust and control frameworks continue to lag. Nearly 47% of Australian business leaders said they are still in the early exploration stage for autonomous AI, while only 10% consider themselves highly prepared. In Singapore, almost 40% reported being moderately prepared and 20% said they were highly prepared.
Senior executives also appear more willing to rely on AI. Around 50% of founders, CEOs and C-suite leaders said they are ready to delegate more responsibility to AI than their current governance frameworks support, compared with 39% of leaders at the next management level.
The study also identified several barriers to wider AI adoption. Integration with legacy systems remains the biggest challenge, while 53% of Australian organisations said their data is only somewhat ready for AI and another 20% admitted it is not ready at all. Talent shortages continue to slow progress, particularly among mid-sized businesses, with 24% identifying skills gaps as a key challenge compared to 9% of enterprise organisations.
The findings suggest Australian businesses are moving ahead with AI adoption, but governance, data readiness and skilled talent will need to improve to support long-term, responsible AI deployment.
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