AI and the R&D Tax Incentive: What Qualifies and Why
AI development, including machine learning, LLMs, and generative AI, can qualify for the R&D Tax Incentive when it involves genuine technical uncertainty and experimentation. Many AI claims fail because the work is described as implementation rather than R&D. We help companies correctly frame AI-driven R&D to meet AusIndustry and ATO expectations.
Why AI R&D Claims Are Different
AI development is often misunderstood by both founders and advisors.
Common mistakes include:
- Describing model training as routine configuration
- Failing to articulate technical uncertainty
- Not documenting experimentation or failure
- Treating AI tools as 'black boxes'
The RDTI does not reward using AI, it rewards resolving technical uncertainty through experimentation.
What AI Activities Can Qualify
Understanding RDTI eligibility requirements is essential for framing AI work correctly.
R&D in AI activities may qualify where the work involves:
- Developing or modifying models to overcome performance limits
- Experimenting with training data, architectures, or optimisation techniques
- Fine-tuning LLMs or adapting generative AI for domain-specific applications
- Resolving uncertainty in scalability, accuracy, latency, or reliability
- Designing novel approaches to inference, deployment, or automation
Each claim depends on how the work is framed and evidenced.
How We Frame AI for the RDTI
We structure AI claims around:
- Clear hypotheses and technical unknowns
- Iterative experimentation and learning
- Evidence of failure, refinement, and trade-offs
- Alignment with legislative definitions of core and supporting R&D
This is technical documentation - not marketing language.
For detailed program guidance, refer to business.gov.au.
When AI Work Does NOT Qualify
AI work generally does not qualify when it involves:
- Straightforward API integration
- Off-the-shelf model deployment
- No measurable technical uncertainty
- Pure business process automation
We are upfront about this - even when it means advising not to claim.
If your R&D is broader than AI, covering algorithms, infrastructure, or novel software architecture, see our RDTI for software companies guide.
AI R&D Claim Assessment
If your R&D involves AI, speak to an advisor who understands both the technology and the RDTI framework.
AI R&D Claim Review