Candidates have AI too! The Recruitment Experience has changed – and what to do about it.
A lot has been written about the deterioration of the recruitment experience over the last year or so, both from a hiring and job seeking perspective, and as an independent specialist recruiter in CX spanning all sectors and scales of business, here’s a look at our analysis.
The enthusiasm with which businesses embraced AI-driven recruitment tools over the past couple of years was understandable. Specialist recruitment partners are expensive, hiring could be slow, and technology promised a cleaner, faster, more objective alternative. For many organisations it seemed only sensible to automate.
The fundamental mistake was assuming that only employers would use these tools. In reality, candidates gained access just as quickly. Today, CVs are optimised in minutes, experience is reshaped to mirror job descriptions with uncanny precision, and applications are submitted at scale. What was once a considered, targeted exercise has become a numbers game, even for senior and specialist hires.
The traditional signals hiring managers relied on — a well-structured and well-presented CV, a clear alignment with the role, the “right” language — no longer mean very much. When every application looks good, none of them truly do. The screening process becomes guesswork, driven by time pressure rather than the insight and experience of the recruiter.
Where do you start as a hiring manager now? CX particularly has traditionally been a difficult space to recuit in, with job titles and seniority fluid between sectors and a specialism needed to be able to read between the lines. Now, on paper, it’s almost impossible.
Employers are back where they started, struggling to identify who will actually perform well once hired. Only now, the volume is overwhelming, response rates to candidates have collapsed, and the experience on both sides has deteriorated sharply.
And the consequences are significant – filling your role with the wrong person is an increasingly costly error in a labour market shaped by stronger employee protections and heightened expectations of fair process. Financially and reputationally, this is a big deal.
Recruitment was never just about matching words on a page, it’s about understanding how experience was gained, what kind of leadership someone has been exposed to, how they operate under pressure, and whether they will thrive in a particular environment. AI can align language, but it cannot validate truth.
This is why the human networks many businesses dismissed as old-fashioned are now proving their worth again. Knowing candidates personally, understanding their professional history, and being able to check claims through trusted relationships, delivers something algorithms cannot: confidence.
Particularly in customer experience roles, where judgement, empathy and leadership matter as much as technical competence, that confidence is critical. A CV — however perfectly optimised — tells you very little about how someone will show up for customers or colleagues.
The reality is that giving everyone the same tools has just given us a different problem on a much bigger scale, and that the people are relying on their own real-world, human professional networks again. Good recruiters and hiring managers amplify this process with LinkedIn, but in the end,it comes back to good old fashioned relationships.
None of this is an argument against technology. AI has a role to play, and used well, it can improve efficiency. But the idea that recruitment could be fully automated in any field ignores a basic truth: work is human, and so is hiring. If organisations want better hiring outcomes, they must stop treating recruitment as a software problem and start recognising it for what it is: a people problem. And if you need a person to do the job, you still need a person — with judgement, context and a real network — to find them.
Kate Baird, December 2025
kateb@cxtalent.co.uk

