CV-Library’s Candidate Behaviour Barometer 2026, published this month, should give everyone in hiring pause for consideration. Surveying over 1,000 UK candidates and 233 recruiters and employers, it describes a market losing faith in its own signals. Some 71 per cent of candidates have abandoned an application because it was too long or complicated, 68 per cent say they have been ghosted after applying, and, most strikingly, 52 per cent would now accept a job offer and carry on looking, up from 24 per cent only a year ago.
The AI findings are the ones I keep returning to, because of their symmetry. Seventy per cent of candidates say widespread AI use makes it harder to stand out. Sixty-nine per cent of recruiters say AI-generated applications make the strongest candidates harder to identify. Both sides are describing the same problem: applications have never been more polished, and polish has never told us less about the person behind it.
The industry’s instinct will be to fight automation with automation, screening AI-written applications with AI screeners. I think that compounds the problem. My primary concern with AI in recruitment has always been the dehumanisation of what is an intrinsically human-centric industry. It is telling that in the same research, 58 per cent of candidates say they would feel more comfortable knowing a person was guaranteed to review their application, and 17 per cent have already chosen not to apply for a role because they believed AI would screen them. That is not a fringe anxiety, it is a hiring risk, and it is why at Carrington West no application is screened out by an algorithm: every candidate who reaches us is reviewed by a consultant.
It is worth noting though, like every agency, we work through platforms such as CV-Library, LinkedIn and Indeed, whose search and matching tools have AI built in, so no recruiter can credibly claim a process untouched by algorithms. What we can control, and tell candidates plainly, is where the human takes over. Notably, 27 per cent of candidates suspect they have encountered AI in a hiring process without knowing for certain. Being clear about that line is exactly the transparency needed to stop a trust gap widening further.
None of this is a rejection of the technology. Our approach, which we call Assistive Intelligence, is to point AI at the work that can ease the burden on a recruiters time. The administration, the data-chasing, the reporting that eats the hours consultants should be spending on people. Every hour it hands back is spent on the behaviours this research says candidates are crying out for, calling people back, chasing decisions and being straight with them about where they stand.
The trust gap also explains why the accepted offer has stopped being a candidate’s end goal. Forty-eight per cent of candidates who keep looking say they simply do not trust an offer until the contract is signed and they have started. The remedy is basic recruitment best practice, speed and communication. Six in ten candidates expect to go from application to offer within two weeks, yet only a third of hiring processes manage it. Agency-side recruiters move faster than direct employers, and honestly, this is where a good consultancy earns its fee, chasing the decision, keeping the candidate informed and never leaving silence for doubt to fill.
In fairness, the report shows candidates contribute to the gap too, through mass applications, ghosting and using offers as leverage. More than half are open to playing one offer against another. Trust will not be rebuilt by one side alone. But as technical recruiters, our job is to be the party in the process that leads on those behaviours that build trust and create partnerships that deliver.
Sources
CV-Library, Candidate Behaviour Barometer 2026: The Recruitment Trust Gap