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Australia's AI Plan: Where is Australia going with AI?

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The Australian Government’s National AI Plan released on 2 December 2025 confirms that it will take a ‘light touch’ approach to regulating AI (relying on existing laws rather than introducing Mandatory Guardrails). Although this does reduce the compliance burden on companies, they will still need to establish responsible AI Governance and (where an AI deployment impacts the workforce) undertake suitable consultation with the workplace and HR, WHS and data governance strategies.

The plan is anchored in three ‘goals’ (Capturing the Opportunity; Spreading the Benefits; and Keeping Australia Safe). In addition to the light touch regulatory approach, the Commonwealth Government:

  • is focused on data centres as important national infrastructure and will increase the focus on promoting investment (including through co-ordinating approvals) and environmental sustainability;
  • is actively considering Australia’s sovereign AI capabilities (including how Australia can best harness existing data sets to train AI models (subject, of course, to the recent clarification that the Australian Government will not introduce a broad text and data mining exception to the Copyright Act 1968 (Cth)); and
  • expects increased transparency and consultation on the deployment of AI tools in the workplace.

Key Takeaways

We have summarised the key elements of the 9 actions from the National AI Plan in the following chart and provided a brief snapshot of key takeaways for organisations in the table below. 

Key takeaways
What this practically means
Example uses 2
AI Regulation

Although it does not explicitly rule out an AI Act, the Plan indicates that Australia will rely upon existing laws (and regulator action) to regulate AI. This is broadly similar to the approach taken by the United Kingdom and is in direct contrast to the regulatory approaches taken by Europe, South Korea and Japan. It also means the Mandatory Guardrails previously consulted on by the Australian government will not progress.

To implement this ‘light touch’ approach:

  • existing regulators will be responsible for identifying, assessing and addressing potential AI-harms within their policy and regulatory domains (with the support of a new AI Safety Institute that will monitor, respond and co-ordinate safety measures, laws and regulatory frameworks); and
  •  organisations developing and using AI will be responsible for proactively identifying and responding to AI harms and upholding best practice in AI Governance. This includes aligning with Australia’s AI Ethics Principles and Guidance for AI Adoption Essential Practices and (where applicable) Implementation Practises; and
  • new AI specific laws will be introduced where there is an identified harm from AI, new laws will be considered (e.g., in relation child abuse material and infringements on Indigenous data sovereignty);

Practical Tip: The Implementation Practises have replaced the 2024 Voluntary AI Safety Standards. They apply to both developers and deployers and provide an approach to AI Governance that is broadly aligned to ISO 42001 and the NIST AI RMF.

Australian organisations now have clarity about how AI will be regulated – and it is a green light to invest based on existing laws (within the bounds of responsible AI Governance and existing laws).

  • To the extent ‘specific’ AI regulation will be introduced in Australia (at least in the short term) it will most likely be via amendments to the Privacy Act 1988 (Cth), Online Safety Act 2021 (Cth), Copyright Act 1968 (Cth), Security of Critical Infrastructure Act 2018 (Cth) and healthcare and medical device regulation. The Government has also flagged minor tweaks to the Australian Consumer Law as a result of the recent Review of AI and the ACL.
  • Organisations must implement robust end-to-end AI Governance measures that manage the risks of developing, procuring, developing and deploying AI systems. This includes (but is not limited to):
    • introducing AI Policies specifying how the organisation approach to AI (including accountability mechanisms and expectations for AI usage)
    • designing AI Risk Frameworks and AI Impact Assessment to identify and manage the risk of new AI systems before they are introduced or modified
    • establishing AI inventories to map AI usage across the organisation
    • implementing testing and monitoring process to manage the risks of AI systems throughout their lifecycle (especially as more agentic AI comes online)
    • reviewing procurement process and third party contracts to identify vendor risk
    • improve AI literacy by training all staff on how to responsibly (and effectively) use AI
    • update Incident Processes to include AI
Data Centres, Renewable Energy and Sustainability

Australia is already well positioned for data centre investment, and the Government intends to ensure that Australia cements its position as a leading destination for data centre investment in the APAC region by effectively recasting data centres as strategic national infrastructure.

Notably, the Government has proposed to work with States and Territories to:

  • support data centre investment by addressing approval barriers; and
  • guide the planning and investment of data centres via the development of “Data Centre Principles” that will set out clear expectations for sustainability and other factors (including bringing new renewable online and efficient cooling technologies).

Data Centre Approvals and Sustainability: Commonwealth, State and Territory approval processes for data centres will be increasingly coordinated. However, this will take time. In the interim, sustainability measures should be front of mind when approaching data centre investment. Practical Tip: See KWM’s Data Centres – APAC Regulatory Guide for an in-depth exploration of Data Centre investment in the APAC Region.

Renewable Energy: The energy demands of data centres is already putting strain on the generation needs of the broader network and the push for increased AI capability (especially if sovereign AI models come online) will only exacerbate that strain. The Government’s focus on bringing new renewable energy online will create significant new opportunities not just for data centres but energy developers and retailers to continue to develop new projects to sustain the increased demand. Practical Tip: See KWM’s Insights on Data Centres: Energy Considerations for an in-depth exploration of the opportunities in powering data centres.

Sovereign AI

The vast majority of AI models are built and trained overseas. This raises questions over the level of Australia’s (over)dependence on global supply chains, data security risks and the appropriateness of AI models for Australian use cases.

The Australian Government has recognised this risk and is seeking to bolster sovereign AI capabilities within Australia by:

  • positioning the Commonwealth Public Sector as a key driver in developing AI solutions for, and in, Australia;
  • exploring how Australia-specific datasets can be harnessed and responsibly used to train AI models. This will involve an increased focus on data standards, metadata and sharing of non-sensitive datasets for AI training; and
  • increased investment in Australia’s AI capability (including via the National Reconstruction Fund and an ‘AI Accelerator’ funding round of the Cooperative Research Centres (CRC) program).
  • The Commonwealth Public Sector will provide a blueprint for how the Commonwealth expects organisations to approach AI deployment and governance. This can already be seen through the launch of GovAI and the release of the Policy for the Responsible Use of AI in Government (with Version 2.0 introducing new obligations in relation to AI strategy, AI governance, mandatory training, AI Impact Assessments and oversight) and the AI for the APS Plan recently released.
  • What datasets can be used to train AI (and how) will be increasingly in the spotlight. However – how this will be done remains to be seen (especially as the Government has confirmed it will not introduce a broad text and data mining exception to Australia’s Copyright laws - see our article here for more details).

Practical Tip: See KWM’s AI in Government series for more detail on the Commonwealth Government approaching to AI adoption and governance

Employment

The government has acknowledged that AI has the potential to make significant changes to Australia labour market.

The Government is expecting:

  • employers to support workers to access training and skills development in AI;
  • workers and unions to help guide decisions on technology adoption to ensure fairness (as part of this, the government will ensure that workers’ rights are fit-for-purpose to deliver this outcome);
  • the deployment of AI tools in workplaces to involve meaningful conversation with workers and to protect their privacy; and
  • transparency when algorithmic tools are used to manage work performance, work standards or engineered standards.
  • Elevated and proactive consultation expectations from Unions and workers, in particular with respect to workplace health and safety, should be expected. Early and substantive engagement with workers on the purpose and impact of AI in the workplace will be critical; as will the provision of clear and accessible information about AI’s role in decision-making.
  • The deployment of AI systems that will impact workers should be assessed prior to implementation using an AI Impact Assessment that includes a section for WHS risks, with particular focus on psychological safety.
  • Employers must plan ahead with respect to their people strategies and enterprise bargaining (especially where AI will impact roles and job creation).
  • Organisations that proactively align their HR, WHS and data governance strategies with the Government’s expectations (especially around consultation, transparency and skills uplift) will be better placed to capture productivity gains while minimising legal and industrial risk.  

The AI policy, regulatory, commercial and investment landscape is moving so rapidly, so we doubt that the plan represents a ‘final’ position, and we can expect further evolution of the policy over time.

However, the plan does provide some welcome policy clarity about how Government is approaching AI and should provide some confidence for businesses and investors. We expect businesses and investors will also want to keep a focus on the net productivity gains resulting from AI adoption. While productivity gains are a common character in the delivery of many of the Plan’s goals, we anticipate the attention will shortly turn to understanding the value, and risks of, those gains.

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