Preparing People & Principles for AI

New research into how job seekers use artificial intelligence during their search reveals a widening gap between candidate behavior and employer policy. Most candidates are already using AI tools to prepare applications, write cover letters, and match themselves to roles, often because employers require it once they're hired. Yet many hiring managers say they would reject AI-assisted applications outright, without ever speaking to the candidate. That contradiction sits at the center of the findings.

The research traces where trust breaks down and why. Opaque hiring processes create a kind of black hole: candidates apply, hear nothing, and fill the silence with their own stories about why they were rejected. That uncertainty raises anxiety and cognitive load, particularly for neurodivergent candidates, who report using AI at higher rates than any other group even though their familiarity with employer AI systems is the lowest. The pattern suggests they're using AI to scaffold executive functioning, organizing thoughts and translating experience into the language a system will reward, exactly the kind of use employers should want to see continue into the job itself.

Practical fixes for narrowing that gap include:

• Publishing plain-language explainers of how AI is used at each stage, including where a human sits in the loop
• Sharing the actual keywords and criteria a role is evaluated against, rather than expecting candidates to guess
• Offering an appeal pathway with a stated response time, since a short and consistent turnaround builds trust even when the answer is no
• Reserving borderline, judgment-heavy decisions for human reviewers rather than automated scoring
• Teaching candidates how to structure prompts and use AI well, treating it as a resource rather than a violation

The findings also point to a broader shift in the recruiter's role, describing four functions recruiters increasingly need to cover at once: operations and instrumentation, candidate enablement, evaluation and criteria clarity, and communicating updates as hiring systems change. Few teams cover all four well, and wherever the gap is widest tends to be where candidate trust leaks out fastest.

The core argument running through the data is simple: candidates aren't the problem to be solved. The steps in the process are.