Almost half of Australian organisations have appointed a Chief AI Officer, with 63% expected to have one by 2027, according to a new Datacom report surveying 507 business and IT leaders.
Despite growing adoption, 55% of organisations describe themselves as cautious or highly risk-averse on AI, with risk and governance concerns identified as the leading barrier to stronger AI leadership.
The CAIO is emerging as a strategic leadership role focused on transformation and governance rather than technology management, with developing an AI strategy and roadmap ranked as the top responsibility by 60% of respondents.
Almost half of Australian organisations have appointed a Chief AI Officer (CAIO), as organisations move to formalise AI leadership amid growing concerns around risk, productivity and workforce disruption, a new report from Datacom has found.
The report, The Emerging Role of the Chief AI Officer in Australia: Building Leadership for Transformation, draws on a survey of 507 business and IT leaders, finding 63% of Australian organisations will have a CAIO by 2027.
Despite growing momentum, 55% of organisations describe themselves as cautious or highly risk-averse when it comes to AI, with risk and governance concerns identified as the leading barrier to stronger AI leadership (22%).
The emergence of the CAIO in the C-suite reflects the growing maturity of AI adoption in Australian organisations, with many now moving beyond experimentation to deployment. More than four in ten organisations are now scaling AI across multiple business functions, with just 3% not using it at all.
While 93% of respondents expect CAIOs to become a permanent fixture within executive teams, organisations with no plans to appoint a CAIO most commonly cited overlap with existing roles, with 88% of respondents expecting significant overlap with the Chief Technology Officer (CTO) function.
Lou Compagnone, Director of Artificial Intelligence at Datacom Australia, believes organisations need to move beyond viewing AI implementation as purely a technology issue.
"Many organisations initially viewed AI as a technology initiative owned by CIOs or CTOs. However, as adoption expands across the business, organisations are recognising the need for dedicated leadership to oversee the implementation, risk management and governance of AI across the organisation,” says Compagnone.
“CAIOs might not have a technical background, with the main elements of the job focused on transformation, communication and innovation, ensuring organisations understand the shifts that are happening and that where is a plan to move forward.”
The research suggests business leaders increasingly view the CAIO as a strategic leadership role. Developing an AI strategy and roadmap ranked as the top responsibility (60%), followed by responsible AI governance (50%). By comparison, managing vendors and platforms was mentioned by just 9% of respondents, highlighting a shift away from viewing the role as mainly technical.
Productivity emerged as the largest driver of AI adoption, with 38% of respondents identifying it as their biggest motivation in embedding AI. The findings come as Australian organisations face increasing pressure to improve productivity and competitiveness, with many looking to AI as a way to boost efficiencies.
Executive support emerged as the most important factor in AI success, with 47% of respondents identifying it as critical to delivering meaningful organisational outcomes.
"Technology alone won't determine whether organisations succeed with AI. Without leadership teams on side, even the most sophisticated AI initiatives risk becoming just a box-ticking exercise or stalling," says Compagnone.
From July, all Australian Government departments and agencies are required to have appointed a CAIO. As a result, the Australian public service is leading the adoption of CAIOs, with the influence of this shift extending beyond the public sector, with 73% of respondents saying the mandate has shaped their organisation’s approach to AI.
"While many assume government lags on technology, the public sector is taking a leadership role in AI governance. The way departments approach the CAIO role today will shape expectations for AI leadership across both the public and private sectors in the years ahead.”
