AI in the hiring process in 2026
AI has entered the recruitment process at multiple stages. At application stage: AI-powered applicant tracking systems (Greenhouse, Lever, Workday, and many others) screen CVs automatically, ranking candidates based on keyword matching, skills extraction, and in some systems, predictive models trained on historical hiring data. At screening stage: some organisations use AI video interview tools (HireVue, Interviewer.AI) for initial screening, where candidates record responses to standard questions and AI analyses verbal content, pacing, and delivery before a human reviews shortlisted candidates. At assessment stage: AI-generated case studies, timed coding assessments, and situational judgment tests are widely used for graduate and professional hiring.
These tools have made high-volume hiring more manageable for recruiters but have created new challenges for candidates: optimising for ATS screening without losing authenticity, preparing for AI video interview formats, and understanding that the first human reviewer may not see your application unless you pass automated screens.
How to navigate AI in recruitment as a candidate
ATS optimisation: Use clear, standard formatting. Include keywords from the job description naturally. Use standard section headers. Avoid graphics, text boxes, or tables that ATS systems cannot parse. AI video interviews: These are often evaluated on verbal clarity and structure more than on content subtlety. Speak clearly and at a measured pace. Structure answers explicitly (use STAR or clear signposting). Look at the camera, not the screen. Practice with recordings of yourself so you are comfortable with the format. Know your rights: In the EU, the AI Act gives candidates rights around high-risk AI hiring decisions. In the UK, equality law applies to AI-driven hiring decisions. If you believe you have been unfairly screened out by an AI system, you can request information about how the decision was made.