As an AI & Automation Consultant with nearly two decades of experience in recruitment and HR, I’ve witnessed the increasing pressure organisations face to adopt AI technologies. There's no denying that AI has revolutionised many aspects of talent acquisition and HR, from automating administrative tasks to enhancing candidate engagement. However, as we continue to discuss the virtues of responsible AI—ensuring fairness, transparency, and accountability—there’s an aspect that often gets overlooked: relevant AI.


The temptation to jump on the AI bandwagon is understandable. But we must pause and ask ourselves: is the AI we’re implementing relevant to the specific challenges and objectives of our HR and recruitment teams? In my view, ensuring the relevance of AI is just as critical to its responsible deployment.


What Is 'Relevant AI'?


In simple terms, relevant AI is the application of AI that genuinely addresses a need, solves a problem, or delivers value. It’s not about adopting the latest algorithm because it’s trendy, but because it can tangibly improve a process, help solve a business problem, or deliver a measurable outcome.


For example, AI can streamline the hiring process, but it’s crucial to ask whether a specific AI tool is solving the right problem. Does it help identify top talent, improve the candidate experience, or support diversity hiring? If not, it may be a case of implementing AI for AI's sake—adding unnecessary complexity rather than improving efficiency or outcomes.


The Risk of Irrelevant AI


The rapid adoption of AI technologies in HR and recruitment has been exciting to watch, but the reality is that many organisations have jumped in without fully understanding the impact or relevance of the AI tools they’re implementing. I’ve seen companies invest in expensive AI-driven solutions that promise to revolutionise recruitment, only to find out later that these tools don’t align with their actual needs or workflows.


Irrelevant AI can lead to wasted resources—time, money, and effort. Worse, it can cause confusion, erode trust in technology, and even alienate the very people it’s supposed to serve. For HR and recruitment leaders, the focus should not only be on implementing AI responsibly but also ensuring it is relevant, meaningful, and purpose-driven.


Asking the Right Questions


To ensure AI’s relevance, HR and recruitment leaders need to start by asking the right questions:


  • What specific problem are we trying to solve? Before adopting any AI tool, it’s important to pinpoint the exact pain points in your recruitment or HR processes. Are you struggling to find qualified candidates? Do you need to speed up time-to-hire? Is improving employee retention your primary goal? Only when you have a clear problem can you evaluate whether AI is the right solution.


  • Will this AI solution integrate with our existing processes? AI should complement, not disrupt, your current operations. A relevant AI tool integrates seamlessly with existing systems and processes, supporting HR teams rather than adding complexity.


  • What outcomes are we expecting? Define the success metrics for any AI project. Is it improving the candidate experience? Reducing bias in hiring? Cutting down on administrative workload? If the AI solution doesn’t deliver against these clear objectives, it may not be relevant to your needs.


The Role of Expertise in Ensuring Relevance


The deployment of AI in recruitment and HR is not a one-size-fits-all solution. Every organisation has different needs, and what works for one might not work for another. This is why expertise and consultation play a crucial role in ensuring AI’s relevance.


Having spent nearly 20 years in recruitment and HR, I’ve learned that successful AI deployment requires more than just technological know-how. It demands a deep understanding of people, processes, and industry-specific challenges. For HR and recruitment leaders, it’s vital to work closely with AI and automation experts who understand not only the capabilities of AI but also its limitations and the nuances of your business.


Relevance Is Part of Responsibility


We talk a lot about responsible AI—and rightly so. But part of responsible AI is ensuring that it’s relevant. Implementing AI without a clear, meaningful purpose isn’t just ineffective; it’s irresponsible. AI should not be a box-ticking exercise or a shiny tool we deploy to appear more innovative.


The relevance of AI, in my opinion, is an ethical issue. Deploying irrelevant AI is wasting resources and people’s time, and can lead to unnecessary disruption or frustration within the HR and recruitment teams. Being responsible means thinking critically about where and how AI fits into your organisation’s goals and only implementing it when it makes sense.


Conclusion: Relevance First, Technology Second


As AI continues to reshape recruitment and HR, leaders must focus on its relevance just as much as its ethical deployment. The ultimate goal of AI is to add value—whether that’s through improved efficiency, better decision-making, or enhanced candidate and employee experiences. But none of these outcomes are possible without relevance at the core.


So, before investing in the next big AI tool, ask yourself: does this solve a problem? Is it aligned with our goals? And will it make a meaningful difference? If the answer is yes, then you’re on the path to implementing relevant, responsible AI. If not, it’s time to rethink your approach.


Remember, the true power of AI lies not in its novelty, but in its ability to make a real, positive impact.