AI in transfer pricing is rapidly changing the way technical tax knowledge is accessed and applied. We wanted to explore first-hand the opportunities, risks, and practical implications of using AI for transfer pricing documentation and compliance. We found that while AI offers unprecedented accessibility and efficiency, it also introduces new risks – especially when it comes to nuanced, judgment-heavy areas like transfer pricing.

The Rise of AI-Assisted Expertise in Transfer Pricing

Over the past six months, we have witnessed a marked shift. More businesses are turning to Artificial Intelligence (AI) not just for efficiency gains but for technical expertise.

Transfer pricing, once firmly within the domain of tax specialists, is now being queried directly through AI platforms. What was previously reserved for experienced tax advisers can now be accessed by anyone in minutes. Detailed explanations. Legislative references. Structured frameworks. Confident answers.

This is not a marginal development. It is a structural change in how technical knowledge is consumed.

With sophisticated AI tools at their fingertips, organisations can interpret complex regulatory material, dissect guidance from revenue authorities, and explore highly technical issues with unprecedented ease. Whether navigating legislation, analysing cross-border financing structures, or examining OECD principles, AI is rapidly becoming the first point of enquiry.

AI breaks down jargon. It summarises dense tax legislation material. It delivers immediate, well-articulated responses. It democratises access to tax knowledge. For transfer pricing clients, this means they can interrogate Australian transfer pricing requirements and receive seemingly comprehensive answers within minutes. This accessibility is empowering. It encourages engagement. It elevates baseline understanding. It enables more informed questions. But accessibility should not be mistaken for expertise.

The Execution Gap – Where AI Falls Short

AI is extraordinarily effective at synthesising information. It is far less reliable at exercising judgment. It can present content with authority while lacking the contextual awareness that complex regulatory frameworks demand. It may overlook subtle risk indicators, misapply principles in fact-specific circumstances, or default to generic guidance in situations that require precision.

In highly technical areas, such as transfer pricing, nuance is not optional, it is everything.

Overreliance on AI also creates a more subtle risk: false confidence. When responses are detailed and well-structured, there is a natural tendency to assume they are accurate and definitive. Without professional interrogation, businesses may underestimate the complexity of their arrangements or the rigour expected by regulators.

This raises an important question. What happens when surface-level expertise meets real-world accountability? To explore this tension, we set out to test a simple but powerful proposition: What can AI genuinely tell us about Australian transfer pricing documentation requirements, and where does it reach its limits?

Testing AI’s Limits in Australian Transfer Pricing Documentation

Our objective was not just to gather information, but to challenge the depth, accuracy, and practical relevance of AI when applied to real-world business scenarios. Could it navigate the nuance? Would it recognise context? And what risks might emerge when relying on AI-driven insights for complex, case-specific transfer pricing matters?

To ensure transparency, we have included the full transcript of our AI interaction in Appendix 1, serving as a reference guide to the observations and conclusions discussed.

Can AI Accurately Identify Australian Documentation Requirements?

Our opening question was intentionally simple: Do you need transfer pricing documentation in Australia? The response was impressive. Detailed. Structured. Confident. It articulated why documentation matters, who is required to prepare it, and the critical areas of focus. On the surface, it read like the work of a well-prepared advisor. And importantly, it was correct.

The AI platform didn’t stop there. It pushed the conversation further, asking whether we wanted to explore how much documentation is truly “enough” for our specific situation, pragmatic, defensible, but not excessive.

The response that followed was once again detailed, practical, and surprisingly insightful. It moved beyond theory into proportionality, materiality, and risk-based thinking. The guidance felt considered, commercially aware, and tailored rather than templated.

At this stage, the capability was not just competent, it was compelling.

Assessing the Depth of AI’s Technical Guidance

We then raised the stakes. Our next question was more demanding: What needs to be included in compliant transfer pricing documentation? The response was unexpectedly nuanced. It did not simply provide a checklist. It differentiated between levels of documentation depending on risk profile and the nature of the arrangements. At one point, the AI even observed that “this is where transfer pricing gets practical rather than theoretical.”

The engine went further by referencing the OECD, outlining specific analytical requirements, highlighting benchmarking considerations, and identifying the structural elements expected in compliant documentation. On its face, this was not surface-level commentary. It demonstrated depth and technical awareness.

It is important to acknowledge this. The answers were comprehensive. They flagged many of the key ATO expectations and would provide an excellent baseline understanding of the issues that must be considered. But here is the critical distinction. The guidance, while sophisticated, remained inherently generic. It was not anchored to a specific business model. It did not interrogate the commercial substance of real arrangements. And repeatedly, it relied on conditional phrasing “if relevant,” “where applicable,” “if required.”

In transfer pricing, those caveats are not minor footnotes. They are where judgment lives.

Where AI Reaches Its Limits and Why Human Oversight Matters

This is the inflection point. Because once the responsibility shifts back to the user to determine what is relevant, what level of analysis is defensible, and how the laws and the ATO expectations apply in practice, the exercise moves beyond information retrieval and into professional expertise. Ensuring the final approach is genuinely fit for purpose and audit-ready, still requires deep technical knowledge, contextual understanding, and informed judgment.

AI can outline the framework, but it cannot own the conclusion.

Our View on the Use of AI 

The rise of AI represents a fundamental shift in how complex information is accessed and understood. For the first time, highly technical subject matter, such as Australian transfer pricing, is available at the click of a button. That is not incremental progress. It is transformative and we welcome it. 

Our experience demonstrates that AI can deliver remarkably accurate, well-structured, and technically informed responses at least at first glance. It can outline legislative requirements, reference OECD guidance and the Australian transfer pricing laws, identify ATO expectations, and articulate the core components of compliant documentation. As a knowledge accelerator, it is powerful. 

But access to knowledge is not the same as ensuring appropriate tax compliance. 

In the context of transfer pricing, the real test is not whether the framework is described correctly. The real test is whether the outcome, the final documentation, is defensible, proportionate, and aligned with ATO expectations in your specific circumstances. 

That requires more than information. It requires judgment. 

Practical Implications

Even if AI assists in drafting, the documentation must still be prepared. Someone within the organisation must take ownership. Someone must interrogate the assumptions, validate the benchmarking, assess the risk profile, and ultimately sign off on its use.

Who carries that responsibility? If an in-house non-transfer pricing specialist prepares documentation with AI support, how confident can the organisation be that it is genuinely on the right path? Further, transfer pricing rarely operates in a vacuum. What if your cross-border dealings include complex financing arrangements? What if intangible assets require valuation support? What if the commercial reality does not fit neatly within standard frameworks and ATO risk ratings?

This is where complexity lives,  and where risk concentrates.

A useful (if confronting) analogy is surgery. AI can explain the procedure. It can describe the theory, the steps, and the risks. But would you perform the surgery yourself simply because you understand the outline?

Transfer pricing is no different. Understanding the framework does not equate to being equipped to execute it.

What This Means for You

We see AI as a powerful equaliser in the tax world. It raises baseline knowledge. It improves awareness of regulatory expectations. It encourages better questions. That is a positive development for businesses and advisers alike.

But AI must be used with discipline and professional scepticism. It should inform decision-making, not replace expertise. It should accelerate insight, not substitute accountability.

For transfer pricing advisers, AI is an invaluable tool. It enhances efficiency, supports consistency, and frees time to focus on genuinely complex problem-solving. Used appropriately, it strengthens practice. Used uncritically, it can create false confidence.

Next Steps / Andersen Perspective

The conclusion is clear.

AI is a powerful companion in navigating technical transfer pricing issues. It can elevate understanding and sharpen conversations. But it must complement and never replace experienced judgment, whether within internal tax functions or through external advisers.

Businesses that balance AI-driven insight with informed human oversight will extract the greatest value. Those who rely on automation without accountability risk mistaking accessibility for compliance.

As a starting point, we encourage you to explore our full conversation with ChatGPT regarding Australian transfer pricing documentation requirements.

Use it. Question it. Learn from it.

Just don’t mistake it for the final answer.

Appendix Download

See how an AI-powered conversation can clarify your transfer pricing documentation requirements.

Download the full example below:

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