Australia’s push to become a global data centre hub inevitably brings with it challenges, including energy generation and storage, thermal management and water usage. As discussed in our earlier article 'Powering AI infrastructure: energy, renewables and data centres in Australia'¹, these are real issues, but they are also fertile ground for research and development and offsetting these costs is a vital part of Australia continuing to expand its innovation capacity, commercial competitiveness, and long term economic resilience.
Australia’s R&D tax incentive (RDTI) program, which provides a meaningful tax offset of 38.5% - 46.5% on eligible R&D expenditure, is a key inducement for the booming development of data centres here. The RDTI provides an important funding mechanism not only for AI infrastructure developers but also the many related industries such as engineering and software companies providing solutions to data centres to resolve problems or improve efficiencies.
Moreover, the recently released guidelines from the Australian government; Expectations of data centres and AI infrastructure developers indicates that many companies will be required to develop new solutions to AI infrastructure problems around energy, impacts and flexibility, requiring extensive R&D.
Like the RDTI program, experimentation to meet this emerging need is broad, focusing on both the product development and process improvement aspects of experimentation. This ranges from the development of the AI infrastructure itself including novel cooling and water systems, power system resilience, energy efficiency solutions, to related control systems including scheduling architectures and deployment frameworks.
On the process side, R&D is increasingly being undertaken in analytics and optimisation where extensive testing and evaluation is required and where outcomes can’t be predicted without experimentation. These involve the development of systems creating new knowledge rather than small scale iterative development.
While capital building costs are generally not claimable under Australia’s R&D Tax Incentive and the building itself is excluded, companies can still potentially claim the RDTI on:
Some indirect costs with a strong nexus to the R&D may also be claimable.
For RDTI purposes, the strongest claims are built around genuine technical uncertainty and a systematic experimental process (hypothesis → test → measure → analyse → conclude). In data centres this can include controlled trials of alternative cooling architectures (e.g., air vs liquid variants), containment approaches, control algorithms (DCIM/BMS), energy optimisation strategies, resilience/failover tuning, or water use minimisation—where outcomes cannot be known or determined in advance without testing.
One of the key benefits of the RDTI is that it is a self assessed program rather than a competitive grant, but this does not lessen the documentation/substantiation required. In relation to R&D supporting documentation, ‘more is better’. It is a legislative requirement of the program that companies to maintain contemporaneous documentation and AusIndustry (on behalf of Innovation Australia) and the ATO both focus on whether evidence supports activities meeting the definition of core and supporting R&D, and whether expenditure is correctly categorised and apportioned.
Companies need to keep detailed documentation relating to both the technical and expenditure aspects of the claim, at the start, during and at the conclusion of each of the activities, describing the process of each activity as it develops.
Documentation can be varied but it’s important to ensure that the technical unknowns at the outset, including the sources investigated, are recorded. Additionally, evidence might be in the form of project plans, research, measurements taken during the activities, meeting minutes discussing outcomes, reports and photos and these needs to be maintained at all stages of the activities. Cost tracking includes timesheets relating to labour, contractor invoices and an auditable method to apportion shared costs and asset use. The documentation required will vary from activity to activity, requiring a tailored process to track activities and expenditure as R&D occurs.
While there are many eligible areas of R&D in data centre infrastructure development, not everything is claimable. Companies need to cordon off Business as Usual activities from any R&D activities and ensure that work that does not have an unknown outcome or technical hypothesis to test, are not claimed. Specifically, areas to watch out for include:
Australia’s RDTI can materially reduce the cost of solving hard data centre problems, particularly where teams are running structured trials around energy, cooling, controls and resilience. Both data centre infrastructure developers and companies looking to provide solutions to the industry can both benefit.
When claiming the RDTI, the best outcomes usually come from identifying technical unknowns/hypotheses early, separating business as usual from R&D, and tracking costs and asset use in a way that is simple, consistent, and audit ready.
