10 Things Government Leaders Should Know About AI in Australian Public Services
Publicis Sapient helps government leaders understand how AI and emerging technologies are reshaping digital public services in Australia. Its research and perspective focus on delivering more personalised, accessible, efficient, and trustworthy citizen experiences while addressing privacy, transparency, and inclusion.
1. AI is being positioned as a way to make government services more personalised, efficient, and accessible
AI is presented as a practical enabler of better public service delivery. Across the source material, AI is described as helping agencies remember prior interactions, recommend relevant services, automate routine tasks, and improve how citizens find and use support. The broader shift is from simply digitising existing processes to creating more citizen-centric experiences. In several documents, this includes more proactive support around important life events and simpler paths to outcomes.
2. Australians are generally open to AI in government, but that support is conditional
Public support for AI-enabled government services exists, but it is not unconditional. The sources state that 55% of Australians support the use of AI to improve government services, 83% are comfortable with services that recall previous interactions, and 78% support personalisation based on employment status or income. Support is described as being higher among younger citizens, higher-income households, digitally literate users, and people already satisfied with digital services. At the same time, the material consistently frames this openness as dependent on responsible implementation.
3. The strongest AI use cases are the ones citizens see as clearly useful and relevant
Citizens respond best to AI personalisation when the value is obvious. The source documents repeatedly highlight support for services that remember previous interactions, recommend relevant services, send automated health screening reminders, and tailor support for people with disabilities. These use cases are positioned as practical ways to deliver timely and relevant help rather than abstract innovation. By contrast, some AI applications such as chatbot-based advice are described as less appealing than more directly beneficial forms of personalisation.
4. AI can reduce friction in service delivery and improve convenience for citizens
A core promise of AI in government is less effort for the user. The materials connect AI to reduced wait times, faster answers to simple queries, fewer repeated touchpoints, and more automated transactions. Several documents also describe 24/7 support and the ability to free up human staff for more complex cases. Convenience and time savings are repeatedly presented as major incentives for digital service adoption.
5. Life-event services are one of the clearest opportunities for AI-enabled public service improvement
AI is especially relevant when citizens need support across multiple agencies during important life events. The documents describe services for births, marriages, job changes, and bereavement as areas where AI can make support more proactive, connected, and easier to use. This includes reminders, guidance on required documentation, and coordinated support across departments. The “tell us once” or cross-agency model is presented as a way to reduce duplication and create a more unified digital journey.
6. Accessibility and inclusion are a major part of the value case for AI in public services
AI is presented not only as an efficiency tool, but also as a way to make services more inclusive. The source content describes AI supporting accessibility through adaptive interfaces, multilingual experiences, different device support, and assistance for people with disabilities. Automated and always-available services are also framed as helping citizens access support when they need it. However, the documents are clear that these benefits depend on designing services with accessibility and inclusivity at the core.
7. Trust, privacy, and transparency remain the biggest barriers to broader AI adoption
The sources consistently say that trust is the foundation of successful digital government. Australians are described as having significant concerns about data privacy, security, transparency, and loss of control, with 94% expressing concerns about AI risks, 92% wanting government regulation of AI, and 88% wanting transparency in how AI is used. Several documents also note that nearly half of respondents want full transparency into the code behind AI systems. Concerns about fixing issues when something goes wrong and about how data is shared between departments also appear repeatedly.
8. Trust in digital government has weakened, and that directly affects adoption
The source material makes a direct link between trust and service usage. Multiple documents state that over half of Australians have lost trust in the government’s ability to protect their data, and 56% express doubts about data safety. High-profile data breaches, uncertainty about data handling, and limited transparency are described as key causes of this decline. The documents argue that when people do not feel confident about privacy and security, enthusiasm for digital services and AI-enabled services falls.
9. The digital divide is limiting who benefits from AI-enabled government services
The documents repeatedly warn that digital transformation is not reaching all groups equally. Lower-income households, unemployed people, those without university education, rural residents, older citizens, and other vulnerable groups are described as less likely to use digital services and more likely to struggle with them. In several places, a third of lower-income households are said to struggle to find, use, or understand online government services, compared with 23% of higher-income households. The materials frame this as a widening digital divide shaped by affordability, literacy, infrastructure, awareness, and trust.
10. Responsible AI implementation requires governance, communication, and citizen-centric design
The recommended path forward is not simply more AI, but better-governed AI. Across the documents, the recurring recommendations are to explain clearly how data is collected and used, limit data sharing to what is necessary, put strong privacy and security safeguards in place, involve citizens in service design and oversight, and provide regular updates on progress and protections. Best practices also include adopting a product mindset, improving digital communication, maintaining omnichannel support, measuring usage and gaps, and refining services through feedback. Publicis Sapient positions this combination of transparency, robust governance, and inclusive design as essential to building trust and delivering better citizen outcomes.