Insights & perspectives on modern recruitment

The Numbers Don't Add Up

The adoption story looks clean enough.

87% of companies now use AI somewhere in their recruiting process, up from 26% in 2024.

Efficiency gains are real.

The average cost-per-hire reduction is around 30%, and time-to-hire reductions of 25-50% are typical.

For stretched recruitment teams, that kind of relief matters.

But there is a number sitting alongside all of this optimism that deserves equal attention:

only 26% of job applicants trust AI to evaluate them fairly.

That is not a fringe minority. That is three quarters of your candidate pool walking into the process already skeptical.

46% of job seekers say their trust in the hiring process has decreased in the past year, and 42% attribute that decline specifically to AI use.

Meanwhile,

data from YouGov polling has found 64% of the public believe it's unacceptable for employers to use AI to narrow down job applications.

The technology is spreading in one direction. Public confidence is moving in the other.

Why the Gap Exists

Part of this is about visibility.

75% of companies allow AI to reject candidates without human review: 35% say AI can dismiss applicants at any stage, while another 39% confine that power to resume screening. Just over a quarter require a human in the loop for every rejection.

Most candidates have no idea which category applies to them, and that uncertainty breeds distrust.

Part of it is also about the regulatory moment we are in.

The European Union AI Act classifies recruitment AI as high-risk, placing it in the same category as medical devices and critical infrastructure, with enforcement active in August 2026.

New York City's Local Law 144 requires an annual bias audit and candidate notice before deploying an automated employment decision tool.

Regulation is tightening precisely because the stakes are high, and candidates sense that, even when they cannot articulate the legal landscape.

And part of it is the fragmentation problem.

Josh Bersin's HR Technology Market Report found that large companies now run at least nine HR systems and spend an average of $310 per employee per year on HR technology.

Candidates experience that fragmentation as inconsistency: different tones, different timelines, different levels of transparency from one stage to the next. It does not feel designed for people. Because often it was not.

The Transparency Lever

The encouraging finding buried inside this data is that the fix is largely within recruiters' control.

Companies that proactively communicate their AI practices, explain what it screens for, and clarify where humans make final decisions are likely to see stronger application rates and better candidate trust. Transparency is not just an ethical obligation; it is a measurable competitive differentiator for employer brand.

This is not about apologising for using technology. It is about narrating it. Candidates who understand that AI handles the first-pass volume filter, but that a human recruiter reviews every shortlist and owns every offer decision, feel fundamentally differently about the process. The technology becomes a tool in a human story, not a replacement for one.

70% of technology leaders say the AI factor alone has made them more likely to turn to a staffing or consulting firm. 93% of tech and IT leaders say staffing firms have been effective at helping them with AI-related hiring challenges.

Clients are already turning toward recruiters because they trust human judgment to sit alongside the automation. That trust is a commercial asset. Recruiters who communicate their human-in-the-loop approach clearly are not just serving candidates better; they are differentiating their proposition to clients too.

What Good Looks Like in Practice

Closing the trust gap does not require stripping out technology. It requires designing for transparency at every touchpoint.

Be specific about what AI does and does not do. Tell candidates upfront if AI is involved in screening. Explain what criteria it uses and confirm that a human makes the final call. Vague assurances about "our process" do not reassure anyone.

Make the human visible. One of the most straightforward ways to signal that a person is engaged in the process is to show them one. A recruiter's name, a real profile, a personalised message: these signals carry weight precisely because they are increasingly rare. Tools like Floats, which turn recruiter-presented candidate profiles into personalised, interactive experiences, work in exactly this direction: making the human element of the process legible rather than invisible.

Gather candidate feedback and act on it.

Ivanti's 2026 State of Cybersecurity Report reveals that 77% of technical professionals are comfortable allowing autonomous AI systems to act without human review.

That comfort does not extend to hiring, where the stakes feel personal. Tracking candidate sentiment and adjusting based on what you hear is how you find out where your process is eroding trust before it becomes a pipeline problem.

An Opportunity Worth Taking

Adoption among large employers is near-universal, candidate-side AI use is rising, regulators are catching up, and trust on both sides of the hiring conversation has not kept pace with capability.

That lag is not a crisis; it is an opening.

Recruiters who move now to design transparent, human-centred processes around their AI tools will be operating with a structural advantage: faster than fully manual approaches, more trusted than fully automated ones. The trust gap is real. It is also closable, and closing it is some of the highest-value work a recruiter can do right now.