First-Hand Experience - Are Hiring Managers Setting the Bar Too High for Artificial-Intelligence related Job Openings?
- Oriental Tech ESC
- Feb 19
- 2 min read
In the rush to build world-class AI teams, are some hiring managers setting themselves up for failure?
I've noticed an alarming trend where job descriptions for AI-related roles are packed with qualifications that might be more aspirational than practical.
Here's what I've seen:
PhD or Bust: Does every AI role really need a PhD? For some positions, real-world experience could be just as valuable.
Years of Experience: Asking for 10-15+ years in a field that's only been mainstream recently? That's a bit like asking for a unicorn.
The Kitchen Sink: Requirements for expertise in full-stack development, AI, ML, and half a dozen specific technologies in one role? It's like expecting one person to be a chef, a gardener, and an architect all at once.
This isn't just about filling roles; it's about finding the right talent to innovate and grow. When we set the bar unrealistically high, we risk:
Missing Out on Talent: Filtering out candidates who could excel but don't tick every box.
Extended Hiring Times: Vacancies linger, impacting project timelines and team morale.
Overlooking Potential: Sometimes, the best candidate isn't the one with all the certifications but the one with passion, creativity, and the ability to learn.
Let's challenge ourselves to rethink how we define "qualified". Maybe it's time for hiring managers to focus on core competencies, cultural fit, and the potential for growth rather than an exhaustive list of checkboxes.
We received similar feedback from potential candidates and even internal HR Managers when they dealt with their own internal Hiring manager clients. What's your experience or take on this? Have you seen similar trends in AI recruitment? Let's discuss how we can make hiring more effective and inclusive.
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