Is AI coming in your job?
Goldman Sachs predicted in a 2023 report that AI may change 300 million full-time jobs. McKinsey wrote in the identical 12 months 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 appeared on the high 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 standards: excessive pay (not less than $49,500), excessive job progress (above 10% for 2023 to 2033), and a low automation danger (under 50%).
The researchers evaluated varied professions utilizing pay information and projected job progress charges from the U.S. Bureau of Labor Statistics. Additionally they assessed automation danger utilizing a chance calculator.
Associated: ‘Totally Changing Folks’: A Tech Investor Says These Two Professions Ought to Be the Most Cautious of AI Taking Their Jobs
All the careers that met the problem are within the healthcare and utilized science industries.
“AI can write code and crunch numbers, however it will possibly’t consolation a affected person or make a name in a disaster,” stated Resume Genius lead profession professional Eva Chan. “The most secure jobs proper now are essentially the most human ones. The fastest-growing work in the present day will depend on 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 Exchange Their Jobs within the ‘Subsequent Few Years’
AI trade consultants have been sounding the alarm about AI changing jobs for months. Geoffrey Hinton, known as the “Godfather of AI” for his pioneering AI analysis, said in an interview final month that “AI is simply going to switch all people” in white-collar jobs. The Nobel Prize winner stated on an episode of the podcast “Diary of a CEO” that “an individual and an AI assistant” would have the ability to change the roles that “10 individuals did beforehand.”
In the meantime, Anthropic CEO Dario Amodei stated in Might that throughout 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 upcoming job cuts, listed below are 10 AI-proof jobs, in response to Resume Genius.
1. Pc and knowledge analysis scientist
Median wage: $149,910
Estimated job progress: 26%
AI job takeover danger: 31%
2. Doctor assistant
Median wage: $133,260
Estimated job progress: 28%
AI job takeover danger: 0%
3. Nurse practitioner
Median wage: $132,050
Estimated job progress: 40%
AI job takeover danger: 0%
4. Veterinarian
Median wage: $125,510
Estimated job progress: 19%
AI job takeover danger: 7%
5. Medical and well being companies supervisor
Median wage: $117,960
Estimated job progress: 29%
AI job takeover danger: 16%
6. Speech-language pathologist
Median wage: $95,410
Estimated job progress: 18%
AI job takeover danger: 9%
7. Operations analysis analyst
Median wage: $91,290
Estimated job progress: 23%
AI job takeover danger: 42%
8. Epidemiologist
Median wage: $83,980
Estimated job progress: 19%
AI job takeover danger: 7%
9. Logistician
Median wage: $80,880
Estimated job progress: 19%
AI job takeover danger: 38%
10. Wind turbine technician
Median wage: $62,580
Estimated job progress: 60%
AI job takeover danger: 39%
For the complete report, click on right here.
Is AI coming in your job?
Goldman Sachs predicted in a 2023 report that AI may change 300 million full-time jobs. McKinsey wrote in the identical 12 months 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 appeared on the high 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 standards: excessive pay (not less than $49,500), excessive job progress (above 10% for 2023 to 2033), and a low automation danger (under 50%).
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