new stanford analysis reveal
AI Is Learning to Do the Jobs of Doctors, Lawyers, and Consultants
RadVid-19, a program which identifies lung injuries through artificial intelligence, is used at the University of Sao Paulo in Brazil. RadVid-19, a program which identifies lung injuries through artificial intelligence, is used at the University of Sao Paulo in Brazil. The tasks resemble those that lawyers, doctors, financial analysts, and management consultants solve for a living. One asks for a diagnosis of a six-year-old patient based on nine pieces of multimedia evidence; another asks for legal advice on a musician's estate; a third calls for a valuation of part of a healthcare technology company. Mercor, which claims to supply "expert data" to every top AI company, says that it spent more than $500,000 to develop 200 tasks that test whether AIs can perform knowledge work with high economic value across law, medicine, finance, and management consulting.
- South America > Brazil > São Paulo (0.45)
- North America > United States (0.05)
- Law (1.00)
- Health & Medicine (1.00)
- Banking & Finance (1.00)
- Professional Services (0.88)
A New Stanford Analysis Reveals Who's Losing Jobs to AI
The researchers also found that employment is growing in professions where AI is used to augment workers rather than automate their tasks. For instance, workers who use AI to learn about topics or validate their work once completed seem less susceptible to being replaced than those who are asked to delegate entire tasks to AI. For Brynjolfsson, this is a sign that AI, if deployed shrewdly, could lead to positive economic results. "I think it's fair to say that technology has always been destroying jobs and always been creating jobs," he says. "If we want to create not just higher productivity, but widely shared prosperity, using AI to augment and not just automate work is a good direction to go." Brynjolfsson and Chandar say they used AI throughout the process of writing their aforementioned paper: to write code in order to process and clean the ADP data; to provide references with which they could check their claims; and "help with some of the writing," Chandar says.