"At the top of her list are tradespeople, including electricians, plumbers, and repair workers, who perform hands-on tasks in messy, real-world environments that machines still struggle to navigate. She also pointed to care jobs like nursing, primary school teaching, and nursery teaching as roles that heavily rely on empathy, judgment, and social connection - qualities that algorithms can't yet mimic."
"As AI takes over professions, Zhang also warned that adaptability will matter just as much as initial job choice. She said even students pursuing degrees in more exposed professions should be ready to retrain and lean on human networks when competing for opportunities in an AI-saturated labor market. "Employers are now flooded with AI-generated résumés, and in response, they have to use AI to filter out these résumés, and so it's this kind of arms race between applicants and employers," she said."
Generative AI is rapidly transforming industries and threatening many traditional white-collar roles while leaving some occupations relatively secure. Tradespeople such as electricians, plumbers, and repair workers perform hands-on tasks in messy, real-world environments that machines still struggle to navigate. Care roles including nursing, primary and nursery teaching depend on empathy, judgment, and social connection that algorithms cannot yet replicate. Advanced manufacturing retains specialized positions requiring human oversight despite automation on factory floors. Back-to-basics jobs that lack prestige often prove harder to automate. Workers need adaptability, willingness to retrain, and strong human networks to remain competitive as employers use AI to filter applications.
Read at Business Insider
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