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When we're talking about the future of talent acquisition, Generative AI has been taking all of the limelight this year. However, arguably, although it grabs fewer headlines, the steady evolution of skills-based hiring is potentially even more disruptive to traditional recruiting norms.
There is an enormous amount of data, science and research going into understanding the relationship between skills and job performance, and the results are smashing some of our longest-held assumptions about hiring.
My guest this week is Andy Nelesen, Global Head of Talent Acquisition Solutions at SHL. SHL has done an enormous amount of work to establish the link between skills and performance, and their research has revealed 12 skills that universally predict success. There is also a significant discrepancy between the skills employers ask for in job ads and the skills the science shows they actually need, so this is a must-list interview for everyone who wants to hire more effectively.
In the interview, we discuss:
Listen to this podcast on Apple Podcasts.
4.7
7777 ratings
When we're talking about the future of talent acquisition, Generative AI has been taking all of the limelight this year. However, arguably, although it grabs fewer headlines, the steady evolution of skills-based hiring is potentially even more disruptive to traditional recruiting norms.
There is an enormous amount of data, science and research going into understanding the relationship between skills and job performance, and the results are smashing some of our longest-held assumptions about hiring.
My guest this week is Andy Nelesen, Global Head of Talent Acquisition Solutions at SHL. SHL has done an enormous amount of work to establish the link between skills and performance, and their research has revealed 12 skills that universally predict success. There is also a significant discrepancy between the skills employers ask for in job ads and the skills the science shows they actually need, so this is a must-list interview for everyone who wants to hire more effectively.
In the interview, we discuss:
Listen to this podcast on Apple Podcasts.
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