Key Takeaways
- A majority of U.S. workers (54.6 %) are willing to interview with an AI agent, showing that outright resistance to AI in hiring is uncommon.
- Trust, not willingness, is the critical factor; candidates want assurance that AI use is fair, transparent, and paired with human oversight.
- Nearly two‑thirds (66 %) believe employers should disclose when AI is used in the recruitment process.
- More than half (56.4 %) prefer that their application be reviewed exclusively by humans, valuing interpersonal skills and nuanced judgment that algorithms may miss.
- Only a small fraction (8.2 %) favor AI‑only review, while 28.5 % prefer a hybrid human‑AI approach.
- Early‑career candidates are especially sensitive to how technology shapes their first impression of an organization’s culture and values.
- Organizations that combine AI efficiency with clear communication, transparency, and meaningful human involvement will build stronger trust and employer brand equity.
Overview of AI’s Growing Role in Recruitment
Artificial intelligence is rapidly reshaping how organizations source, screen, interview, and assess candidates. By automating repetitive tasks, AI helps employers handle large application volumes, speed up decision‑making, and improve consistency. Yet as adoption accelerates, a central question remains: how do job seekers actually feel about AI influencing hiring outcomes? Understanding candidate attitudes is essential because the hiring process often forms a candidate’s first impression of an organization’s culture and values.
Willingness to Interview with AI Agents
SHL’s survey of over 1,000 U.S. workers revealed that 54.6 % would be willing to interview with an AI agent. At face value, this statistic suggests a growing comfort level with AI‑driven interactions and challenges the assumption that candidates are fundamentally opposed to the technology. Willingness, however, is only the first step; it does not automatically translate into trust or enthusiasm for AI‑only processes.
The Gap Between Willingness and Trust
While many candidates are open to engaging with AI, they still demand confidence that decisions are fair, transparent, and appropriately overseen by people. The survey indicated that willingness alone does not guarantee trust; candidates scrutinize how AI is applied and whether human judgment remains involved. Employers must therefore move beyond simply offering AI tools and focus on demonstrating responsible, accountable use.
Concerns About Impersonal AI‑Only Interviews
Almost 37 % of respondents said they would view a company as impersonal or uncaring if AI conducted interviews without a subsequent human interview. Nearly 15 % stated they would decline a job offer from an employer that relied solely on AI for this stage. In contrast, only 22.8 % saw AI use as a sign of innovation and forward‑thinking. These figures highlight that candidates perceive AI‑only interactions as risky to the relational aspect of hiring.
Preference for Human Review of Applications
More than half of respondents (56.4 %) said they would prefer their job application to be reviewed exclusively by humans. Candidates cited qualities they believe people assess better—such as interpersonal skills, contextual understanding, and the ability to interpret non‑linear career paths. This preference underscores the value candidates place on nuanced judgment that algorithms may overlook when relying solely on keyword matches or rigid scoring models.
The Appeal of a Hybrid Human‑AI Approach
Only 8.2 % of participants favored AI‑only review of their application materials, while 28.5 % preferred a combination of humans and AI. The data suggest that candidate acceptance rises when AI is positioned as a supportive tool rather than a replacement for human decision‑makers. By framing AI as an aid that enhances efficiency while preserving human oversight, employers can align technology use with candidate expectations.
Demand for Transparency in AI Use
The strongest signal from the research is not resistance to AI itself but a desire for transparency. Two‑thirds (66 %) of respondents believe employers should be required to disclose when AI is used during hiring. Candidates want visibility into how decisions are made, what data the AI considers, and where human judgment intervenes. For organizations, transparency has evolved from a compliance checkbox to a core component of building trust and a positive candidate experience.
Implications for Early‑Career Hiring
These findings are especially pertinent for graduate and early‑career recruitment, where candidates often evaluate not just the job but also the employer’s values and culture. The hiring process serves as a candidate’s first meaningful interaction with an organization, shaping perceptions long before an offer is extended. Early‑career talent, who may have limited professional experience, places high value on clear communication, opportunities for human interaction, and evidence that the employer respects both efficiency and fairness.
Building Trust Through Human + AI Collaboration
The debate around AI in recruitment is frequently cast as a choice between people versus technology. Survey results indicate candidates see the issue differently: they are not asking employers to abandon AI, but rather to provide accountability, transparency, and appropriate human oversight. AI can boost recruiter efficiency, improve consistency, and reduce administrative burden, while human recruiters contribute empathy, judgment, contextual understanding, and relationship‑building skills. Organizations that successfully blend the strengths of both—using AI to streamline processes while maintaining clear human involvement and open communication—will be best positioned to attract top talent, strengthen their employer brand, and foster lasting trust in an increasingly AI‑literate workforce.