An anonymous reader quotes a report from CNBC: A new study published by the Brookings Institution takes a closer look at jobs that are the most exposed to artificial intelligence (AI), a subset of automation where machines learn to use judgment and logic to complete tasks — and to what degree. For the study, Stanford University doctoral candidate Michael Webb analyzed the overlap between more than 16,000 AI-related patents and more than 800 job descriptions and found that highly-educated, well-paid workers may be heavily affected by the spread of AI. Workers who hold a bachelor’s degree, for example, would be exposed to AI over five times more than those with only a high school degree. That’s because AI is especially good at completing tasks that require planning, learning, reasoning, problem-solving and predicting — most of which are skills required for white collar jobs. Other forms of automation, namely in robotics and software, are likely to impact the physical and routine work of traditionally blue-collar jobs. […] Well-paid managers, supervisors and analysts may also be heavily impacted by AI. Anima Anandkumar, director of machine learning research at Nvidia, said workers should evaluate the future of their own roles by asking three questions: Is my job fairly repetitive? Are there well-defined objectives to evaluate my job? Is there a large amount of data accessible to train an AI system? If the answer to all three of these questions is yes, Anandkumar says AI exposure is likely and suggests workers should aim for jobs that require more creativity and human intuition. According to the report, some of the jobs that face the highest exposure to AI in the near future include: Chemical engineers, political scientists, nuclear technicians, and physicists.

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