The rise of gen AI pushing organizations to reconsider their hiring strategy is logical. For example, since AI is now a commodity, the ability to go from data to insights, and even from insights to action, seriously dilutes the value of human knowledge and expertise. Unless your expertise puts you in the 1% of the population, you probably won't be hired for your expertise.
Even after we account for errors and inaccuracies, mainstream AI, including large language models and generative AI platforms like chatGPT and Perplexity, is the intellectual equivalent of the fast-food industry. It will give you a quick, cheap, and often tasty answer to any question, but it won't be as healthy or nutritious as a properly cooked meal.
Think of it as the automation of human mediocrity, which is no small feat. It elevates the bar for human performance and talent in any area of knowledge, pushing us to go beyond the wisdom of the crowds.
Naturally, this is also a warning sign for universities that are still teaching in traditional ways, and unable to convince anyone that they nurture or harness any relevant employability skills, whether it's learning ability, drive, or people skills.
#generative-ai #skills-based-hiring #recruitment-strategies #automation #universities-teaching-methods
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