Australia’s AI journey: From policy to practice

Australian Federal Government

“AI is already shaping our economy and society, presenting both opportunities and challenges. Realising the full benefits of AI will not happen by chance – it requires deliberate, coordinated action to seize the potential of AI while managing its risks.”
Australian Government’s National AI Plan

On November 30, 2022, OpenAI released ChatGPT to the public, and within five days the chatbot had attracted over one million users. This rapid growth was an early indicator of the interest that generative artificial intelligence (AI) would garner from society at large. Since its initial release, ChatGPT has remained one of the most recognisable names in the game but has been joined by numerous other entities seeking to harness the power of AI and not be left behind in the adoption race.

 

AI in general, beyond just generative, has permeated nearly every facet of our daily lives. From smartphone tools like facial recognition to banking systems monitoring fraud detection and wearable technology like fitness trackers, the seamless integration of AI has been almost undetectable. This flawless assimilation has driven governments globally to firm up their formal, strategic framework

Australia’s adoption journey

Like many advanced economies, Australia has moved from an experimental trial phase to widespread adoption of AI technologies. From a high-level perspective, the Australian Government’s AI adoption journey is as follows:

 

2019: partnered with CSIRO, specifically its digital specialist arm Data61, to develop foundational strategies for the nation’s adoption of artificial intelligence. The key outcome of this collaboration was the release of a national Artificial Intelligence Roadmap and a supporting AI Ethics Framework, aimed at boosting economic growth and ensuring responsible AI development.

 

2023: launched consultations on “Safe and Responsible AI in Australia,” seeking public input between June and August to address risks and potential regulatory gaps. The process involved, in part, a discussion paper exploring mandatory guardrails for high-risk AI, addressing issues like algorithmic bias and deepfakes.

 

2024: released a Voluntary AI Safety Standard and consulted on new AI laws in the form of a proposal paper on introducing mandatory guardrails for AI in high-risk settings.


2025: launched the APS AI Plan (Nov 2025) and an updated National AI Plan (Dec 2025), aiming to significantly increase AI use in government, backed by $460 million in funding.

AI uptake and resistance

Despite the government’s ambition to harness AI technologies and its assertion that ‘AI should enable workers’ talents, not replace them’, there remains widespread scepticism from the general public. This is reflective of sentiment in many advanced economies around the world, as the Reserve Bank of Australia outlines in Technology Investment and AI: What Are Firms Telling Us?.

 

“International surveys of AI uptake indicate that Australia ranks relatively low across a range of metrics including sentiment, investment and adoption (Gillespie et al 2025; AI Index Steering Committee 2025). These surveys indicate that adoption, trust and acceptance of AI appear to be positively correlated, and highlight that trust and adoption seem to be higher in emerging markets than in advanced economies (Gillespie et al 2025).”

 

Despite this caution, the trajectory of artificial intelligence adoption suggests that resistance alone will not slow its momentum. Across industries, AI is rapidly becoming embedded in the infrastructure of everyday work, driven not only by government policy, but by global competition, productivity demands, and significant private investment. The Technology Council of Australia identified in their Tech Leaders Survey 2026 that AI remains the dominant focus for technology leaders, with 78% identifying AI and machine learning as the defining trend for 2026, up from 67% in 2025 and 66% in 2024. Therefore, the role of trusted technology and those leading companies that champion it, has never been more critical.

Home grown adoption

For their part, InfoTrack has been a longtime supporter of a future where intelligent infrastructure empowers professionals, reduces risk, and enables better decisions at scale. It is for this reason that the company recently became a member of The Technology Council of Australia so it can continue to contribute to meaningful industry dialogue, collaborate with fellow innovators, and advocate for technology that strengthens security, transparency, and productivity across the economy.

 

InfoTrack’s own journey with AI began with a deliberate strategic shift to position the company as a Model Context Protocol (MCP) enabler for authoritative data services in Australia. In late 2025, the executive team initiated an internal disruption strategy, reassessing priorities and determining what the organisation needed to stop, start, and restructure in order to invest meaningfully in AI. Within just a few weeks, a dedicated group of around 20 developers was identified and reorganised into specialised teams focused on key missions, including experimenting with generative AI tools such as ChatGPT, enabling government data sources through MCP frameworks, and developing AI-powered solutions for legal professionals.

 

The transition required significant organisational change, including rapid resource reallocation, backfilling roles, and carefully managing internal communications to maintain morale and alignment across teams. InfoTrack has since accelerated development across its AI initiatives. The company has built internal tools such as a developer sandbox for experimentation, an MCP gateway to securely manage data access, and consistent asynchronous design patterns to standardise how MCP-enabled services are developed and integrated with platforms like ChatGPT and Claude. With approximately 15–20 MCP-enabled services already underway and a long-term vision to enable hundreds more, InfoTrack is embedding AI across both new innovations and its core products. This strategy not only strengthens its position within the legal and property sectors but also opens opportunities to extend trusted data services into industries such as insurance, banking, and healthcare.

Where to from here?

It is clear that Australia is progressing along its AI adoption journey, but we know from previous experience that effective adoption rarely occurs in isolation. A coordinated effort between government, which shapes the regulatory and policy environment, and large enterprises, which have the resources and operational scale to deploy emerging technologies, is required in order to advance Australia and ensure the nation harnesses the advantages that AI can offer. As Lucinda Longcroft, The Tech Council of Australia’s Director of Policy and Government Affairs shared, “Navigating this is going to involve the tech industry partnering with government and other stakeholders to skill our workforce and to ensure that all the way through an entire career, we are skilled and re-skilled.”

 

Against this backdrop, InfoTrack is taking a pragmatic approach to AI adoption. Our focus continues to be embedding AI within existing legal workflows to remove administrative friction and improve the accuracy of routine processes. By applying technologies such as machine learning and automated data extraction to document-heavy tasks, such as interpreting search results, populating legal forms, and connecting practitioners to verified government data, AI becomes an enabling layer that supports, rather than substitutes, professional expertise. Reflecting a broader shift across the legal technology sector: using AI to enhance productivity and trust in legal processes while keeping practitioners firmly at the centre of decision-making.