Is AI coming in your job?Goldman Sachs predicted in a 2023 report that AI may substitute 300 million full-time jobs. McKinsey wrote in the identical yr that 375 million employees could also be displaced by AI by 2030.As employees more and more face the specter of automation, researchers on the profession assets platform Resume Genius regarded on the prime professions with the bottom danger of being changed by AI. In a brand new report launched Thursday, the researchers discovered 10 roles that met the factors: excessive pay (at the very least $49,500), excessive job development (above 10% for 2023 to 2033), and a low automation danger (under 50%).
The researchers evaluated varied professions utilizing pay knowledge and projected job development charges from the U.S. Bureau of Labor Statistics. In addition they assessed automation danger utilizing a likelihood calculator.Associated: ‘Totally Changing Individuals’: A Tech Investor Says These Two Professions Ought to Be the Most Cautious of AI Taking Their JobsAll of the careers that met the problem are within the healthcare and utilized science industries.”AI can write code and crunch numbers, however it may possibly’t consolation a affected person or make a name in a disaster,” mentioned Resume Genius lead profession professional Eva Chan. “The most secure jobs proper now are probably the most human ones. The fastest-growing work at present is determined by care, judgment, and presence, that are all issues AI nonetheless cannot do.”The median annual salaries for these jobs vary from $62,580 to $149,910.Associated: Amazon CEO Tells Workers AI Will Change Their Jobs within the ‘Subsequent Few Years’
AI trade consultants have been sounding the alarm about AI changing jobs for months. Geoffrey Hinton, referred to as the “Godfather of AI” for his pioneering AI analysis, said in an interview final month that “AI is simply going to switch everyone” in white-collar jobs. The Nobel Prize winner mentioned on an episode of the podcast “Diary of a CEO” that “an individual and an AI assistant” would be capable to substitute the roles that “10 individuals did beforehand.”In the meantime, Anthropic CEO Dario Amodei mentioned in Could that inside the subsequent 5 years, AI may trigger unemployment to rise 20% because the know-how wipes out half of all entry-level, white-collar jobs.To keep away from the approaching job cuts, listed below are 10 AI-proof jobs, based on Resume Genius.1. Laptop and knowledge analysis scientistMedian wage: $149,910Estimated job development: 26percentAI job takeover danger: 31percent2. Doctor assistantMedian wage: $133,260Estimated job development: 28percentAI job takeover danger: 0percent3. Nurse practitionerMedian wage: $132,050Estimated job development: 40percentAI job takeover danger: 0%
4. VeterinarianMedian wage: $125,510Estimated job development: 19percentAI job takeover danger: 7percent5. Medical and well being companies managerMedian wage: $117,960Estimated job development: 29percentAI job takeover danger: 16percent6. Speech-language pathologistMedian wage: $95,410Estimated job development: 18percentAI job takeover danger: 9percent7. Operations analysis analystMedian wage: $91,290Estimated job development: 23percentAI job takeover danger: 42%
8. EpidemiologistMedian wage: $83,980Estimated job development: 19percentAI job takeover danger: 7percent9. LogisticianMedian wage: $80,880Estimated job development: 19percentAI job takeover danger: 38percent10. Wind turbine technicianMedian wage: $62,580Estimated job development: 60percentAI job takeover danger: 39percentFor the complete report, click on right here.
Is AI coming in your job?Goldman Sachs predicted in a 2023 report that AI may substitute 300 million full-time jobs. McKinsey wrote in the identical yr that 375 million employees could also be displaced by AI by 2030.As employees more and more face the specter of automation, researchers on the profession assets platform Resume Genius regarded on the prime professions with the bottom danger of being changed by AI. In a brand new report launched Thursday, the researchers discovered 10 roles that met the factors: excessive pay (at the very least $49,500), excessive job development (above 10% for 2023 to 2033), and a low automation danger (under 50%).
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