AI is becoming embedded in recruitment at remarkable speed. Candidates can use technology to find roles, tailor applications and increase the number of opportunities they pursue, while employers can automate screening, analyse applications and manage increasingly large candidate pools. On paper, both sides should be benefiting, but when candidates respond to automation with more automation and employers respond to increased application volumes with even more automated screening, recruitment risks becoming faster without necessarily becoming better.
That tension sat at the heart of a recent Technology for Talent discussion at MK Tech Week, where the conversation explored everything from AI-assisted assessment and candidate experience to bias, governance and the changing role of human judgement in hiring. Across those different topics, one question kept resurfacing in different forms: just because we can automate more of recruitment, does that mean we should?
More Automation Does Not Automatically Mean Better Recruitment
One of the challenges discussed was the growing cycle between automated applications and automated screening. Technology allows candidates to pursue opportunities at greater scale, while employers faced with larger volumes increasingly rely on technology to help process those applications. Candidates then encounter more automated processes and use more technology themselves to improve their chances of getting through them.
The danger is that both sides become more efficient at participating in the process without necessarily becoming better at understanding each other. For employers, a larger candidate pool does not automatically mean a stronger candidate pool, and for candidates, being able to submit more applications does not necessarily mean finding roles that genuinely suit their skills, motivations and ambitions.
If technology simply allows both sides to do more of the same activity, only faster, we need to question whether that is really progress. The opportunity for AI in recruitment should not simply be increasing volume. It should be improving the quality of the decisions being made within that volume.
The Question Shouldn’t Be What Can We Automate?
It is tempting to approach AI adoption by looking for every manual process that technology could potentially replace, but recruitment requires more nuance. Different hiring decisions carry different levels of complexity, risk and human consequence. The panel discussed how highly standardised, high-volume recruitment may suit greater levels of automation, while senior or high-value roles may warrant significantly more human interaction.
There are parts of recruitment where technology can remove unnecessary administration, organise information and make processes more consistent. There are other moments where context, conversation and judgement become far more important. The more useful question for recruitment businesses and employers therefore isn’t simply, “What can we automate?” It is, “Where does automation improve the experience or decision, and where does human judgement add more value?”
That creates a very different approach to recruitment technology. Instead of trying to remove people from the process, technology becomes a way of helping people spend their time where it matters most.
AI Doesn’t Remove Accountability
Another important part of the discussion centred on bias. It is easy to position technology as a solution to the subjectivity of human decision-making, but replacing a human decision with an automated one does not automatically make the outcome objective. Human recruitment processes already contain bias, and AI systems can also reproduce patterns found within the information and criteria they are given.
That means introducing technology does not remove the need for judgement. In many cases, it makes good judgement even more important. If an organisation uses AI within a hiring decision, it still needs to understand how that technology is being used, what information influences the outcome and whether it can stand behind the resulting decision.
There is a reputational question here as well as a regulatory one. Candidates are unlikely to care that an unfair or confusing experience was caused by an algorithm rather than an individual recruiter. Their experience is still with your organisation and, ultimately, the responsibility for how technology is deployed remains with the business using it. AI can support decision-making, but it cannot outsource accountability.
Candidate Experience Could Be Where Technology Adds the Most Value
Much of the conversation around recruitment technology focuses on what businesses can gain from it: efficiency, scale, lower administrative workloads and faster processes. One of the more interesting possibilities raised during the discussion, however, was what candidates could gain from the same technology.
Instead of using technology purely to filter people out, what if it helped candidates make better decisions before entering a full recruitment process? The panel discussed the idea of a lower-commitment pre-application stage where candidates could answer a small number of questions, understand how closely they align with a role and potentially receive constructive feedback if it is not currently the right opportunity for them.
That changes the role of technology significantly. Rather than simply saying “no”, a recruitment system could potentially provide direction, helping candidates better understand what a role actually requires, where their experience aligns and what they may need to develop. Employers could benefit too, because better-informed candidates could mean fewer unsuitable applications entering the full process and more time for hiring teams to engage properly with the people who progress.
Used in this way, technology does not have to make recruitment less human. It can create more space for meaningful human interaction.
A CV Was Never the Whole Person
The discussion also questioned how much a traditional CV or application form can genuinely tell an employer about someone’s suitability. Experience and qualifications matter, but hiring decisions frequently depend on far more than someone’s employment history. Motivation, behavioural drivers, soft skills and the realities of the organisation itself can all influence whether a hire ultimately succeeds.
Technology may give businesses new ways to structure and explore those factors, but there is an important distinction between using technology to create better questions and allowing technology to make unquestioned judgements about people. The strongest use of AI may therefore be as a tool for exploration rather than a final decision-maker, identifying areas worth discussing, highlighting possible gaps and helping hiring teams approach conversations with more information.
The human element then becomes interpreting that information within the context of the role, organisation and individual. That balance matters because recruitment is not simply a data-matching exercise. Ultimately, it is a decision about people.
Recruitment Technology Should Continue Beyond the Hire
Another interesting point raised during the discussion was how quickly recruitment technology tends to disappear once somebody accepts the job. Organisations invest significant effort in attracting, assessing and hiring someone, but communication can become considerably less structured after they join.
There is an opportunity for technology to support the relationship beyond recruitment itself. The panel discussed possibilities such as tracking development, providing more personalised feedback, maintaining communication and learning from the performance of successful hires. This creates a much broader definition of recruitment technology, where success is not measured purely at the point somebody is hired, but by whether that person succeeds once they arrive, develops within the business and ultimately stays.
For recruitment businesses and RecTech providers, that creates an important shift in thinking. The value of technology does not necessarily end when a vacancy is filled, and the data and relationships created during recruitment could potentially support a much longer employee journey.
The Future Isn’t Human or AI
Much of the conversation surrounding AI is framed as a choice between technology and people, but recruitment probably does not need to make that choice. There are things technology can do exceptionally well. It can process information at scale, introduce consistency, remove repetitive administration and help organisations manage volumes that would be extremely difficult to handle manually. There are also areas where human judgement remains critical, including understanding context, recognising nuance, challenging assumptions, building trust and taking responsibility for decisions that affect people’s careers and businesses.
The real opportunity is working out where each belongs. That requires more than buying technology and inserting it into an existing process. It requires organisations to think carefully about what they are trying to improve in the first place. If the goal is simply to process more candidates, automation can certainly help. If the goal is to make better hiring decisions and create better experiences for candidates and employers, technology needs to be deployed with considerably more thought.
Final Thought
The most interesting question about AI in recruitment isn’t whether the technology will become more capable. The more important question is what we choose to do with that capability.
If AI simply helps candidates submit more applications and employers reject them faster, recruitment may become more efficient without necessarily becoming more effective. But if technology can help candidates understand opportunities better, help employers ask better questions and give hiring teams more time for the conversations where human judgement genuinely matters, that represents a very different future for recruitment.
The Technology for Talent discussion ultimately came back to a tension between scale and judgement. Recruitment needs both. Technology can give businesses the ability to operate at scale, but it cannot remove their responsibility to decide where, when and how that technology should be used.
And that may be the most important human judgement of all.
