Singapore Firms Scale AI Faster Than Governance Can Keep Up, Insight Finds
Source: IT Brief Australia
A new study by global technology solutions firm Insight reveals that Singapore organisations are moving from AI experimentation to scaling faster than their governance frameworks can support. The survey of 220 local business decision-makers found 37% of firms are already scaling AI across functions and 14% have fully embedded it — but oversight structures are struggling to keep pace with rising autonomy.
Singapore businesses are sprinting ahead with artificial intelligence deployment, but a significant governance gap is opening up as AI systems take on more decision-making responsibility, according to fresh research from global technology solutions firm Insight. The study, based on a survey of 220 business decision-makers in Singapore, found that 37% of organisations are actively scaling AI across multiple functions while 14% have already fully embedded it into operations.
Singapore’s adoption is outpacing Australia, where Insight conducted a parallel survey of 318 firms. Some 55% of Singapore leaders reported moderate to strong return on investment from AI initiatives, versus 41% in Australia. Mike Morgan, Senior Vice President and Managing Director for APAC at Insight, described the dynamic as an “autonomy paradox” — companies handing AI systems more freedom to make decisions even as governance and oversight structures remain incomplete.
The tension is evident in the preparedness numbers: nearly 40% of Singapore leaders said they were only moderately prepared for autonomous AI deployment, while just 20% felt highly prepared. Integration with legacy systems emerged as the single biggest barrier to scaling AI, cited by 33% of respondents, followed by cost and infrastructure constraints at 25%. Morgan emphasised that governance cannot be retrofitted — it must be built into AI programmes from the outset, with continuous oversight embedded from the start.
Trust in AI also appears conditional rather than absolute. Half of surveyed leaders said their confidence drops in high-stakes scenarios, suggesting that acceptance weakens when the consequences of error are greater. That distinction becomes increasingly important as companies place AI in areas involving core business decisions, customer interactions, and sensitive internal processes, where accountability and human oversight remain central concerns even in relatively advanced organisations.
Why it matters for Singapore: The Insight study captures a moment of transition for Singapore’s AI landscape — companies are no longer waiting for perfect readiness before delegating to AI, creating an urgent need for governance frameworks that evolve at the same speed as deployment. With Singapore positioning itself as a global AI hub under its National AI Strategy 2.0, closing this governance gap will be critical to sustaining the momentum. The findings also highlight practical barriers — legacy systems, cost, and skills — that will require coordinated investment across the public and private sectors.