From Singapore: The numbers coming out of the Logicalis Global CIO Report 2026 are striking not for their optimism, but for the anxiety running beneath it. Organisations are racing to invest in AI faster than they can manage it, with a gap emerging between ambition and operational readiness as governance, skills, and infrastructure struggle to keep pace. For Australian businesses weighing up their own AI spending, the findings deserve close attention.
The report, titled Harnessing AI: IT Leadership in the Next Era of Enterprise Technology and conducted by Vanson Bourne on behalf of Logicalis, surveyed more than 1,000 CIOs across the globe. The survey was commissioned at the end of 2025, drawing on responses from business and IT professionals across EMEA, APAC, the US, and South America, restricted to organisations with more than 250 employees involved in digital transformation and cloud computing.
While 94% of CIOs report that their organisation's appetite for AI has increased over the last 12 months, more than half (51%) believe adoption is moving too fast. The disconnect is telling. Boards and executives are pressing for deployment; the people responsible for actually running these systems are increasingly unsure they have the foundations in place to do so responsibly.
While most CIOs use AI governance controls to some extent, 62% report compromising on governance due to limited knowledge, and just 44% say they fully grasp the risks of AI adoption. A further 76% say unchecked AI remains a serious concern. Fewer than a third are confident they have adequate best-practice guidance to lead AI initiatives effectively, according to The Register's reporting on the findings.
The skills deficit sits at the core of the problem. Previous Logicalis research found that the biggest barrier to successful adoption is not funding but skills, with a lack of internal technical capability holding back AI ambitions in almost 90% of organisations. Most organisations report an increased appetite for AI, yet an overwhelming 89% describe their current approach as "learning as we go." That is a candid admission from industries spending billions on deployment.
The scaling problem is equally sobering. CIOs say AI can deliver value in areas where data ownership and processes are well established, such as predictive analytics and forecasting, but these successes tend to sit within defined functions. When it comes to scaling beyond pilots and proof-of-concepts to an organisation-wide rollout, almost two-thirds of CIOs are not confident of success. For Australian organisations specifically, a separate Deloitte survey found that while companies are running plenty of AI pilots, most have yet to see broad enterprise-wide impact, with only 28% having moved at least 40% of their pilots into production.
There is also a harder commercial question lurking in the data. Tension between early success and scaling challenges is compounded by broader nervousness about the AI market itself, with 67% concerned about an "AI bubble", and a further 16% admitting they lack continuity plans should a key AI provider become unavailable. That last figure is a genuine governance failure. Businesses building critical operations on a handful of AI providers without fallback arrangements are carrying a concentration risk that few boards have formally assessed.
Proponents of aggressive AI investment have a legitimate counter-case. The competitive penalty for moving too slowly is real. Among early AI adopter organisations, 73% say AI is providing a strategic advantage, while 54% worry their competitors might use AI more effectively. Almost three-quarters of enterprise customers forecast further AI investment in the next 12 months, with 60% planning to invest specifically in agentic AI. The pressure to act is not irrational; it reflects genuine first-mover dynamics in a technology that is reshaping cost structures across most industries.
The environmental dimension is also being under-managed. Just 39% of CIOs are confident their organisation actively manages AI's environmental impact. This matters for Australian companies with sustainability reporting obligations, particularly as research has estimated that data centre electricity use will double by 2030 as a direct consequence of AI workloads. Energy costs embedded in cloud AI services will eventually flow through to pricing; ignoring them now stores up a financial surprise later.
Logicalis CEO Bob Bailkoski put the challenge plainly: "This year's report reveals a complex challenge for CIOs navigating the biggest innovation of our lifetime. Organisations are not short of ambition or appetite for AI; they are short of the frameworks, skills and confidence to deploy it at scale."
For Australian exporters and multinationals watching APAC competitors accelerate, the signal is not to slow down but to sequence more carefully. The organisations pulling ahead are, as a Deloitte Australia report found, those building governance capability now, starting with lower-risk use cases and scaling with clear accountability structures. Speed without structure is not a competitive advantage; it is a liability that boards have not yet priced in.