There was a time when hiring was a human process. A candidate would walk into an office, shake a hand, and talk about who they were — not just what they had done. Employers hired based on character, chemistry, and gut instinct. That process wasn’t perfect. It excluded many, relied too much on intuition, and lacked consistency. But it was, at the very least, personal. Then came the digital age. In the 1990s, companies began adopting applicant tracking systems (ATS) to deal with the influx of online applications. Resumes went from being read by managers to being parsed by software. Efficiency improved, but something else was lost: nuance, potential, humanity. Fast forward to today — we’ve taken those same systems and added AI on top of them. But here’s the problem: we’ve layered advanced technology onto a broken foundation. The result? A process that’s not only impersonal — it’s actively harmful. we’ve layered advanced technology onto a broken foundation. AI didn’t create the hiring crisis. But it has made it worse. Now, instead of one-size-fits-all resume filters, we have machine learning models trained on historical hiring data. That data reflects years of bias, pedigree obsession, and pattern matching. So the AI learns to reward sameness. It replicates past decisions instead of enabling better ones. Young professionals — especially Gen Z — feel this disconnect deeply. They’ve grown up in a world of speed, transparency, and agency. They expect systems to work for them, not against them. Yet in hiring, they face black boxes. They’re told to be unique, but filtered out for not fitting a mold. I hear stories constantly from talented young people who apply to dozens of roles, tailoring each application, and never receive a response. Some are first-generation grads. Others have built real-world projects, led volunteer teams, or taught themselves skills online. But none of that is captured by systems built to scan keywords and degrees. Meanwhile, companies complain of talent shortages. But they’re often blind to what’s right in front of them. The hiring system has become a wall — not a bridge. So, where do we go from here? First, we acknowledge what’s broken. We’ve built a hiring process that’s optimized for volume, not insight. That rewards conformity, not capability. That filters out creativity in favor of compliance. And then we wonder why innovation stalls. First, we acknowledge what’s broken. Second, we remember what matters. Hiring isn’t just about matching skills. It’s about potential. Adaptability. Learning speed. Communication. Values. These things don’t show up on resumes — and they definitely don’t show up in automated keyword scans. Second, we remember what matters. Third, we rebuild — not just upgrade. We don’t need smarter filters. We need different systems. Systems that: Third, we rebuild — not just upgrade. Let candidates show how they think through simulations, games, and real-world challenges
Replace static resumes with evolving digital profiles that track growth and behavior
Prioritize feedback and transparency to make hiring collaborative — not competitive
Focus on who a person is becoming, not just where they’ve been Let candidates show how they think through simulations, games, and real-world challenges Replace static resumes with evolving digital profiles that track growth and behavior Prioritize feedback and transparency to make hiring collaborative — not competitive Focus on who a person is becoming, not just where they’ve been This is not just a Gen Z issue. It’s a generational shift in how we understand work, value, and identity. The next generation wants to build, solve, and grow — but not within outdated structures. If we don’t meet them halfway, we won’t just lose talent. We’ll lose trust. And that’s far harder to rebuild than any hiring platform. We stand at a crossroads. Behind us is a world of outdated resumes, credentialism, and opaque software. In front of us is a new way — more human, more accurate, and more inclusive. The question is: do we have the courage to choose it? Because the next generation is already choosing. They’re opting out of systems that ignore them. They’re building portfolios instead of CVs, joining communities over companies, and prioritizing learning over labels. The companies that thrive in this new era won’t be the ones with the most AI. They’ll be the ones with the most clarity, courage, and connection. Let’s build for that future — before someone else does.

This story contains new, firsthand information uncovered by the writer.

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