Employers are increasingly integrating artificial intelligence (AI) into recruitment processes, particularly for high-volume tasks such as drafting job advertisements, sourcing candidates, ranking resumes, scheduling interviews, and conducting initial screening rounds. Industry experts say these technologies aim to increase efficiency and free human recruiters to focus on more nuanced aspects, such as candidate motivation and cultural fit.

Michelle Koh, managing director at executive search firm The Edge Partnership, explains that AI-driven chatbots used for first-round interviews have become mainstream. These systems standardize questioning by ensuring all candidates are asked the same questions in the same sequence, which may reduce inconsistency often seen in human interviews. Additionally, chatbots can handle routine inquiries about compensation and workplace culture, allowing candidates to complete interviews flexibly without having to take leave.

However, experts warn that AI systems, often trained on past hiring data, can inadvertently perpetuate existing biases. Koh cautioned that if a company historically favors graduates from select universities or tends to screen out candidates with career breaks, the algorithm will replicate these preferences on a larger scale, albeit less visibly than human judgment would.

For candidates, using AI to refine and tailor resumes to specific job descriptions is increasingly accessible and advisable, yet reliance solely on AI-generated content carries risks. Koh stressed that while AI tools can help polish applications, they should not replace thoughtful personalization. Overly polished or obviously AI-created resumes may fail to resonate with recruiters, who seek authenticity and relevant qualifications.

Building relationships with recruiters and professionals in one’s field, as well as maintaining an up-to-date LinkedIn profile that reflects genuine experience rather than keyword stuffing, remain critical. Koh emphasized that both algorithms and human reviewers can detect insincerity in applications.

Kevin Chan, chief executive of HR technology firm Epitome Global, highlighted that the ultimate responsibility for recruitment decisions remains with human employers, who must determine which candidate attributes are essential and which criteria the AI should prioritize. He noted that as candidates increasingly use AI to refine applications, many submissions now feature similar language that masks individual distinctiveness, prompting employers to adopt further automation to manage volume.

To improve their chances, job seekers should clearly present core skills and qualifications with specific examples and measurable achievements while building portfolios or other proofs of work, particularly when following non-traditional career paths. Establishing professional connections that provide contextual support beyond resumes is also beneficial.

Chan advised treating AI as an editing aid rather than a substitute for personal judgment. “Candidates who stand out will be those who demonstrate actual capabilities rather than just optimize descriptions,” he said. He also urged employers to look beyond resumes by incorporating structured interviews, work samples, job simulations, references, and standardized assessments to evaluate candidates comprehensively. This approach is especially important for career changers, returnees, and self-taught applicants.

Using AI should enhance recruiters’ ability to uncover relevant evidence and foster consistent decision-making, supporting rather than supplanting human accountability. While AI streamlines recruitment, it may negatively affect candidate experience, particularly for senior applicants. Koh cited a case of a finance director candidate who withdrew from a multinational healthcare company's process following a first-round automated assessment, perceiving it as a lack of genuine engagement. Such experiences can prompt top candidates to self-select out early, posing a significant challenge for talent acquisition beyond mere optics.