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AI & Recruitment – Myths, CV Hacks & What Really Happens Behind the Scenes

AI & Recruitment – Myths, CV Hacks & What Really Happens Behind the Scenes

ARTICLE SUMMARY

In this episode, we’re joined by N Brown Group’s Yasmin Kobbekaduwe, Aaron Tsang, and Stacey Hudson to unpack one of the most talked-about topics in hiring right now: AI in recruitment.

Your CV shouldn’t feel like it’s being judged by a silent robot behind a curtain, yet that’s exactly how job searching feels for a lot of people right now.

We sit down with Stacey Hudson, Talent Acquisition Lead; Yasmin Kobbekaduwe, Talent Acquisition Lead; and Aaron Tsang, Talent Acquisition from N Brown to explain what’s real, what’s hype, and what actually happens after you click apply when AI is everywhere in hiring.

We get specific about AI screening fears and why they’ve chosen a human-first approach for reviewing applications. They share how fast, respectful communication changes the candidate experience and why getting “ghosted” can damage trust for years. We also dig into what automation misses: transferable skills, values, behaviours, and those “dark horse” candidates who don’t look perfect on paper but deliver in interviews. If you’ve ever wondered whether a company’s slow process is a preview of its internal culture, we talk about that too.

Then we flip the lens to candidates. We unpack why women in tech often wait until they meet 100% of a job description, how job specs can turn into unrealistic wish lists, and what recruiters actually want you to focus on. You’ll hear practical advice on AI-assisted CVs (when it helps, when it backfires), what red flags show up when a resume doesn’t match the interview, and simple actions that raise your odds quickly: tailoring to the role, proving impact, and being proactive on LinkedIn by reaching out to the hiring manager or talent team.

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