How to use AI in recruitment: from fear to future

The hiring landscape is changing. AI is no longer just a supporting feature. It is redefining talent acquisition, breaking down traditional barriers and making hiring faster, fairer and more effective. The question most talent teams now ask is not whether to adopt it but how to use AI in recruitment without losing the human contact candidates still want.

AI in recruitment is the use of machine learning and conversational agents to carry out or support recruiting tasks: screening applications, holding first conversations with candidates, running structured assessments, scheduling interviews and summarising what was said. A 2024 report by the World Economic Forum found that AI powered hiring has improved recruitment efficiency by 35% globally, while a LinkedIn survey revealed that nearly 60% of candidates trust AI to make fairer hiring decisions.

What does AI in recruitment do?

Most AI recruitment tools sit at one of five points in the funnel: screening applications at scale, conversational pre-screening by voice or chat, short structured assessments that replace the CV as the first filter, interview scheduling from the applicant tracking system, and structured interview notes.

How to use AI in recruitment: four steps

1. Start where the volume is

The fastest return comes from the stage with the most candidates and the most repetitive work, usually early screening. Pick one high-volume role family, write down the qualifying criteria, and let AI screening software apply them consistently to every applicant. Recruiters then spend their time on candidates who clear the bar.

2. Keep a human accountable for the decision

AI in recruitment should shortlist, score and summarise. A named recruiter or hiring manager should decide. That split keeps the process defensible and matches what candidates ask for: AI at the screening stage, a real conversation before an offer. Pew Research Center's 2023 survey found that Americans oppose AI making final hiring decisions by 71% to 7%, while 47% think AI would do better than humans at treating all applicants similarly.

3. Tell candidates when and how AI is used

Transparency is now a legal question as well as a courtesy. In the EU, recruitment is classed as a high-risk use of AI, with duties to inform candidates and keep humans in oversight. Our EU AI Act playbook for TA leaders sets out what to do before the deadlines. A plain sentence in the job advert and a clear explanation at the first AI touchpoint removes most of the fear.

4. Measure fairness and candidate experience, not just speed

Time to hire falls first. The metrics that show whether AI recruitment is working are pass rates by demographic group, completion and drop-off at each AI step, and what candidates say afterwards. Review them quarterly and change the tool or the criteria when the numbers move the wrong way.

What candidates say about AI in recruitment

The impact of AI varies across regions, shaped by local workforce expectations and hiring cultures. Here is what candidates across the globe say about AI in recruitment. For the follow-up question, see what candidates who have used AI in hiring say.

North America

In the United States and Canada, candidates see AI as a force for transparency and efficiency. A survey by Pew Research Center found that 67% of US job seekers believe AI creates a fairer hiring process by removing human bias. According to LinkedIn's Global Talent Trends report, 56% of North American candidates say AI driven assessments make job applications more efficient.

A US candidate noted, "AI makes recruitment fairer. It removes biases that can sometimes come from human recruiters, which I appreciate." Another candidate from Canada added, "AI is great for initial screening, but I still want to have a real conversation with a recruiter."

Candidates want AI to enhance recruitment, not replace human interaction.

South America

Job seekers in Brazil, Argentina and Uruguay recognise AI's potential to expand opportunities and break down traditional hiring barriers. An IBM study found that 59% of candidates in South America trust AI powered hiring to be objective and skill based. Similarly, a Glassdoor report revealed that 48% of Brazilian candidates believe AI improves job accessibility by prioritising skills over background.

A Brazilian candidate shared, "AI allows me to be evaluated based on my skills rather than just my background. That's a huge advantage." An Argentinian candidate commented, "The AI screening was fast and efficient. I felt like my application was actually being seen."

EMEA

Across EMEA, AI is embraced as a tool for fairer, data driven hiring. A report by McKinsey states that 72% of European job seekers believe AI improves fairness in hiring by ensuring a more skills driven selection process. In the Middle East, GulfTalent found that 61% of candidates prefer AI driven recruiting as it speeds up hiring.

A German candidate remarked, "AI levels the playing field. I don't have to worry about discrimination, it's all about my skills." A French candidate added, "The AI process is fast and structured. It allows companies to focus on talent rather than just resumes." A UAE candidate noted, "AI is a game changer. It helps match the right people with the right roles, faster than ever before."

APAC

In APAC, AI is widely viewed as a critical innovation for modern hiring. According to Deloitte, 69% of APAC job seekers prefer AI driven recruitment for its speed and accuracy. Research from Indeed Australia shows that 53% of Australian candidates find AI powered assessments more reliable than traditional resume screenings.

An Australian candidate stated, "The AI assessment was straightforward and efficient. It felt like everyone had the same chance." A candidate from India shared, "With AI, I know that my resume is being assessed based on skills, not just my background. That's reassuring." A Singaporean candidate added, "AI in recruitment shows that companies are forward thinking and innovative."

What the regions have in common

• North America and APAC embrace AI's ability to accelerate and improve hiring fairness.
• EMEA values AI for its role in creating a meritocratic hiring environment.
• South America is recognising AI's potential to level the playing field and improve hiring access.

Frequently asked questions

Is AI in recruitment replacing recruiters? No. In every region above, candidates wanted AI for screening and a human conversation afterwards.

Is using AI in hiring legal? Yes, with conditions that vary by market. The EU AI Act treats recruitment as high risk and requires transparency and human oversight. Some US jurisdictions require bias audits of automated hiring tools.

Final thoughts

The challenge for organisations is not whether to adopt AI in recruitment but how to integrate it with human driven processes. AI is not replacing recruiters; it is freeing them to focus on strategic impact, human engagement and unlocking talent potential. Maki's AI powered phone screening agents, automated interview scheduling and structured insights are built for that split: recruiters spend less time coordinating and more time hiring the best candidates. The companies that adapt now will lead the future of hiring.