Australian Public Service AI Survey Signals Demand for Citizen-Focused Service Design

An Australian public-sector thought-leadership article argues that government AI adoption should advance beyond individual productivity tools and toward improving how people discover, understand, and navigate public services. Its central question for government leaders is: “Where are people still expected to know exactly what they need before government can help them?” The article says services should better recognize people’s circumstances and adapt to their needs, rather than requiring users to understand and adapt to government systems. This frames AI as a potential means of addressing service complexity, not simply accelerating internal tasks.

The article reports findings from the second annual Let’s get real about AI survey conducted by Liquid and The Mandarin. It says 94% of public servants reported that AI was being used in their organization, compared with 47% of respondents who were even aware of AI being used inside their organization the previous year. That rapid expansion, however, is described as largely individual and task-based: AI is commonly used as an assistant to help public servants work faster or more easily, rather than to change the nature of government work or service delivery. The distinction matters for contractors assessing whether agencies are moving from experimentation and employee-facing tools toward broader operational implementation.

The survey figures point to a gap between optimism and realized service outcomes. The article reports that 76% of respondents believe AI can improve government services, while only 8% say AI has delivered value in service quality and user experience. It also reports that 39% rank service delivery and citizen experience as a priority for future AI investment. These findings may inform market positioning for companies with capabilities in service design, user experience, responsible AI, integration, and implementation. Potential solutions aligned with the article’s argument would help people identify relevant services, understand guidance, and determine next steps across complex government processes, rather than focusing solely on automating staff activities.

For government contractors and procurement professionals, this is a market signal—not a funded opportunity. The article announces no solicitation, contract award, funding commitment, requirements, or procurement schedule. Contractors can use the reported gap between adoption and service impact to assess their capabilities and prepare evidence-based approaches, while avoiding assumptions that a particular agency is about to buy. Any future procurement would still require confirmation through formal agency plans, budget documents, market research, or published solicitations. The article’s emphasis on outcomes affecting people’s lives, rights, and livelihoods also suggests that proposals should address governance, appropriate use, service quality, and user needs alongside technical functionality.

• Liquid and The Mandarin’s second annual survey reports that 94% of public servants said AI was being used in their organization, up from 47% who were aware of organizational AI use the prior year.
• The article characterizes current public-sector AI use as predominantly individual and task-based, helping staff complete work faster or more easily rather than transforming service delivery.
• 76% of respondents believe AI can improve government services, but just 8% say AI has delivered value in service quality and user experience.
• 39% rank service delivery and citizen experience as a priority for future AI investment, indicating an area contractors can monitor for emerging requirements.
• The proposed direction is context-aware service delivery: helping people discover services, understand their options, and identify next steps based on their circumstances.
• Potentially relevant contractor capabilities include service design, user experience research, responsible AI, implementation, and integration across complex service journeys.
• The article offers no procurement action, solicitation, award, funding commitment, defined requirement, or timeline; treat it as market intelligence rather than an active opportunity.
• Contractors should connect AI proposals to measurable improvements in service quality and user outcomes, while addressing impacts on people’s lives, rights, and livelihoods.