Benchmark your organisation against sector-specific adoption rates—from 76% in financial services to emerging healthcare trajectories.
Understand the shadow AI phenomenon: why 68% of employees don't disclose AI usage and what that means for governance and risk.
See the evidence on what actually works: why structured approaches deliver 34-54% better outcomes than ad-hoc experimentation.
What's Inside This Report
This 8-page research summary brings together the latest Australian AI adoption data in one accessible document, designed for business leaders who need facts rather than hype. You'll find the headline numbers that define Australia's unique position: we're among the most AI-active workforces globally, yet our leadership confidence and governance frameworks lag significantly behind. The report explores what's driving this gap and why it matters. The shadow AI section examines why most AI usage happens outside organisational visibility—68% of employees don't disclose their AI usage, and 70% of managers pretend not to notice. For leaders responsible for governance, compliance, or risk, these numbers demand attention. Sector-specific data covers financial services, financial advisory, accounting, legal, local government, and healthcare—each with different adoption rates, different barriers, and different regulatory considerations. You'll see where your sector sits and what patterns are emerging. The capability gap analysis explores why high adoption hasn't translated to widespread transformation. The data shows that methodology matters: teams using structured frameworks achieve substantially better outcomes than those relying on trial and error. All statistics are drawn from reputable Australian and international research sources, presented with context rather than sensationalism. This is intelligence for decision-making, not marketing spin.
Meet Your Guide, Michael Boyens
I've spent 35+ years working at the intersection of technology and business transformation—from pioneering NAB's first e-commerce platform in the 1990s through to today's AI adoption challenges. What I've observed in the current AI landscape reminds me of earlier technology transitions: widespread access, genuine enthusiasm, but significant capability gaps between early adopters and the mainstream. The difference now is the pace—AI adoption is happening faster than any previous technology shift. I compiled this research summary because I kept having the same conversations with business leaders. They knew AI adoption was important. They suspected their teams were already using AI tools. But they lacked clear data to benchmark their situation or make informed decisions about what to do next. The statistics in this report come from multiple Australian and international sources. I've focused on the numbers most relevant to leaders making practical decisions—not the dramatic headlines, but the data that actually informs strategy. My hope is this gives you a clearer picture of where the Australian market sits and what the implications are for your organisation.
Get the Data That Informs AI Decisions
Download this free research summary to understand where Australian AI adoption actually stands—beyond the headlines and hype. Use these statistics to benchmark your organisation, inform board conversations, or build the case for capability investment. No obligation, no sales follow-up—just the data you need to make informed decisions about AI in your organisation.
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