The average Enterprise AI Maturity Index score for Australia was 36, down from 46 last year Australia findings Enterprise AI Maturity Index 2025 79% of those currently using agentic AI have increased gross margin, compared to 59% of those who are not using it 2024 2025 Global 9 pts 44/100 35/100 Australia 10 pts 46 36 AI is outpacing organisations’ capacity to harness It Early Agentic AI adopters cash in The state of enterprise AI maturity YoY index score change 82% …but most aren’t sure what success looks like or how to track it strongly agree they have a clear, shared AI vision for business transformation 33% strongly agree they have defined metrics in place to measure the impact of AI transformation 32% Australian enterprises plan to spend even more on AI… expect to increase AI investments in the next fiscal year © 2025 ServiceNow. All rights reserved. 3610 pts To measure the current state of AI maturity in the enterprise, ServiceNow surveyed 4,473 senior leaders worldwide, including 560 from Australia. We developed a proprietary indexing model to identify how leading organisations are putting AI to work effectively. 4,473 560 AUSTRALIAN SENIOR LEADERS SURVEYED 16 11 Senior Leaders Countries Industries Leaders struggle to put AI to work because their teams are stuck in silos have made significant progress connecting data and operational silos to turn AI insights into business outcomes Risk and governance will become make or break for AI Organizations are struggling to bank AI benefits due to governance gaps and fear of external risks #1 43% have made significant progress formalising data governance and compliance (-4% YoY) Only 44% barrier to realising AI’s value most often cited by leaders is data security The Australia findings Enterprise AI Maturity Index 2025 560 AUSTRALIAN SENIOR LEADERS SURVEYED Talent gaps are stifling the nation’s AI transformation Australian enterprises need new skills to win on AI, but still struggle to acquire or even define them Employees are more likely to fear job displacement due to AI than elsewhere in the world – complicating talent strategies even further Only 37% strongly agree they have the right mix of skills and talent to successfully execute their AI strategy 37% 71% at least somewhat agree they are still in the process of identifying the skills needed to formalise their AI strategy 71% 60% say employees are raising concerns about job insecurity as a result of GenAI to a great extent, more than any other country surveyed 60% Global findings Discover AI leading practices, expert insights, and more at servicenow.com/ai-maturity-index-2025 © 2025 ServiceNow. All rights reserved. Enterprise AI Maturity Index 2025 Pacesetters lead the way. Key steps to driving success. To identify enterprise AI best practices, we examined top scoring organisations—we call them Pacesetters—who are outperforming others. 57% of global Pacesetters have increased efficiency and productivity, vs. 30% of others Set a leadership strategy 56% strongly agree they have a clear, shared AI vision, vs. 30% of others Adopt a platform approach to innovation 66% employ a platform approach, vs. 46% of others Focus on talent 50% strongly agree they have the right talent mix, vs. 29% of others Move the needle on governance 72% have made significant progress assessing potential AI applications and understanding data requirements, vs. 48% of others Embrace the power of Agentic AI 36% are currently using Agentic AI, vs. 19% of others 01 02 03 04 05