
High-Performance Teams
Sapere Aude “Dare to know”
Recruiters are facing an "applicant tsunami" as AI tools enable a massive surge in job applications, many of which are embellished or entirely fake.
In essence, what is the disruptive nature of AI? Why has it been taking so long for the new AI systems to be widespread?
Your recruiting software likely rejects top talent because it still can't figure out that a "developer" might call themselves a "programmer". This article explores the shift to a smarter model where AI turns a resume into a list of floating-point numbers—an "embedding vector"—to understand what a candidate means, not just what they typed. This enables companies to discover "hidden talent pools" and establish a "semantic moat" that competitors can't cross. But it's no magic wand; this is a practical guide to the real hurdles, from sticker shock to the critical risk of your new AI learning your company's old biases. Ultimately, it's a roadmap for building a "centaur" recruiting team—a hybrid of human and machine where your strategic judgment becomes more valuable than ever.
It’s not about being right or wrong, good or bad. It’s about understanding how culture and language shape how people from different cultures think, act, react, and do business.
In a world full of noise and few certainties, a fresh perspective goes a long way.
Got thoughts, questions, or a contrarian take?
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