Beyond the Keywords: Can AI Really Hire for Potential?
The Great Automation Promise (and Its Quiet Flaw) Imagine a world where every job fit is perfect, every hire adds value, and bias is banished. AI in talent acquisition strode onto the scene promising just that—speed, volume, and an unbiased approach to sifting through candidates. It was the gleaming future of hiring, offering a swift clearing of the endless resume rubble that piles on a recruiter’s desk. Yet, even as AI systems adeptly scan for hard skills and past job titles, a critical component often slips through their digital fingers: the potential for future success. AI's algorithmic eyes are adept at spotting replicas of past success—think traditional markers like university degrees and prestigious internships—but they stumble when it comes to identifying those with potential but non-linear career paths. Here's a palpable example: Consider a gifted individual who's flourished in non-traditional environments, lacking the typical elite credentials but overflowing...