Artificial intelligence is quickly becoming part of the toolkit for R&D tax advisers across the UK. From drafting technical narratives to analysing project information, AI is helping firms complete parts of the R&D claims process more efficiently than ever before.
Thankfully, humans are still absolutely critical when it comes to R&D tax careers. AI can accelerate claim preparation, but it cannot replace technical expertise, judgement or accountability – all of which are essential attributes in this profession.
However, there’s no getting away from the fact that AI IS changing the hiring landscape. With machines taking on more administrative and analytical tasks, what does this really mean for future recruitment and careers in the R&D tax market?
From claim preparation to claim assistance
The use of AI within R&D tax practices has expanded significantly over the past two years. Advisers report using generative AI and machine learning tools to support a range of activities, including:
- Drafting first versions of technical project narratives
- Reviewing project descriptions for potential qualifying activities
- Organising supporting evidence and documentation
- Identifying potential technological uncertainties within large volumes of project data
- Summarising interviews and technical discussions with claimants
For R&D tax specialists operating in an increasingly competitive market, these efficiencies are attractive. Greater automation allows teams to manage larger caseloads, improve consistency and reduce time spent on administrative activities.
However, efficiency and accuracy are not the same thing.
Why human expertise remains critical
HMRC's compliance approach to R&D tax relief has become considerably more robust in recent years. The introduction of the Additional Information Form (AIF) means companies must provide detailed information about qualifying projects, technological advances and scientific or technological uncertainties as part of their claim submissions. Claims that fail to provide sufficient information can be rejected.
HMRC's guidance makes clear that qualifying R&D must involve projects seeking to achieve an advance in science or technology through the resolution of scientific or technological uncertainty. Project descriptions must accurately reflect those uncertainties and the work undertaken to resolve them.
This is where AI can encounter limitations.
Generative AI tools are exceptionally good at producing professional-looking documentation. What they cannot reliably do is determine whether a project genuinely meets HMRC's eligibility criteria or accurately distinguish between routine development work and genuine technological uncertainty.
An AI-generated narrative may sound convincing while lacking the specific technical detail required to support a compliant claim. Worse still, generic descriptions can appear remarkably similar across multiple submissions, potentially increasing scrutiny if they do not accurately reflect the underlying project activity.
As many experienced practitioners observe, the risk is not that AI produces poor writing. The risk is that it produces plausible writing that is technically incorrect.
Ultimately, someone with sufficient technical and legislative expertise must review, challenge and validate the output.
The shift from production to validation
Rather than eliminating jobs, AI is changing how R&D tax professionals spend their time.
Historically, much of an adviser's workload involved gathering information, drafting reports and collating evidence. Increasingly, AI is helping with those initial stages.
As a result, the value of professionals is shifting towards:
- Technical assessment and eligibility decisions
- Client interviewing and information gathering
- Quality assurance and compliance review
- Risk management
- Defending claims during HMRC enquiries
- Strategic interpretation of legislation and guidance
· In other words, AI can create a first draft, but experts still have to determine whether the claim is correct.
The profession is moving away from documentation production and towards critical analysis.
What skills are becoming more valuable?
At Leonid, conversations with R&D tax leaders suggest that hiring priorities are evolving accordingly.
While strong report-writing skills remain important, employers are placing increasing emphasis on candidates who can demonstrate:
Technical credibility
Whether coming from engineering, software, manufacturing, life sciences or another scientific background, candidates who can genuinely understand complex projects remain highly sought after.
As AI handles more drafting, technical expertise becomes an even greater differentiator.
Critical thinking
The ability to assess eligibility, challenge assumptions and identify weaknesses in a claim is difficult to automate.
Employers increasingly value professionals who can apply judgement rather than simply follow process.
HMRC compliance knowledge
The regulatory environment surrounding R&D tax relief continues to evolve. Specialists with a deep understanding of HMRC guidance, enquiry trends and current compliance expectations are becoming increasingly valuable to advisory firms and in-house claim teams alike.
Client-facing skills
AI cannot build trust with a finance director, extract nuanced technical information from a project lead or manage a sensitive HMRC enquiry.
Communication and stakeholder management remain essential skills for senior practitioners.
A growing market for hybrid talent
Perhaps the most interesting development is the emergence of demand for hybrid professionals.
Employers are increasingly interested in candidates who can combine:
- R&D tax expertise
- Technical or scientific knowledge
- Data literacy
- Understanding of AI tools and workflows
- Strong commercial judgement
These individuals are positioned to maximise the benefits of AI while maintaining the quality standards required by HMRC.
Rather than competing with technology, they know how to direct it.
The future belongs to augmented experts
Every major technological shift creates concerns about job displacement. The arrival of AI within the R&D tax market is no exception.
However, it’s not a time to be panicking.
AI is undoubtedly reducing the time required for certain elements of claim preparation. But the growing compliance burden, increased scrutiny from HMRC and continued need for technical judgement mean that expert practitioners remain central to the process.
The most successful R&D tax consultancies will combine AI-driven efficiency with highly skilled professionals capable of validating, challenging and strengthening every claim.
For hiring managers, this means prioritising expertise over administration.
For candidates, it means developing the technical, analytical and advisory skills that technology cannot easily replicate.
In an AI-enabled R&D tax market, human expertise is not becoming less valuable. It is becoming more valuable than ever.
