AI tools make resumes flawless, flooding employers with similar applications.
Recruiters are returning to live tests, networking, and referrals.
About 84% of early career finance candidates use AI for applications.
What happened
About 84% of candidates for early career finance roles use AI to prepare applications or interview answers, according to one report. Recruiters, flooded with similar flawless applications, are reviving methods like live tests, networking, and recommendations.
Why it matters
The ease of generating perfect resumes has made it harder for employers to distinguish candidates, pushing them back to traditional evaluation techniques. As Zoe McLoughlin of London Business School's career center notes, networking is now "absolutely crucial," with a recommendation before applying becoming key.
What to watch
Job seekers may need to invest more in personal connections and live assessments. The shift could reshape how early career hiring works, especially in finance, where AI use in applications is reportedly high.
Ask the AI about this article →
The article highlights how AI's role in job applications is forcing a return to human-centered evaluation methods. With 84% of early career finance candidates using AI, resumes have become less informative, leading employers to seek other signals. Networking and referrals provide a more personal verification, as emphasized by Zoe McLoughlin's advice that knowing someone at the company before applying is crucial. This trend underscores a growing reliance on social capital in hiring, though the article does not detail how this might affect diversity or fairness. The shift is particularly pronounced in finance, suggesting that in competitive fields, personal connections may become as important as skills.
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