NEW YORK–As much as any industry, AI tools such as ChatGPT and Google’s Bard have gotten plenty of attention inside credit unions, including what the new technologies are going to mean for jobs. According to one new forecast, white collar positions are much more at risk than many people realize.
“The American workers who have had their careers upended by automation in recent decades have largely been less educated, especially men working in manufacturing,” the New York Times reported. “But the new kind of automation — artificial intelligence systems called large language models, is changing that. These tools can rapidly process and synthesize information and generate new content. The jobs most exposed to automation now are office jobs, those that require more cognitive skills, creativity and high levels of education. The workers affected are likelier to be highly paid, and slightly likelier to be women, a variety of research has found.”
A ‘Surprise’
Erik Brynjolfsson, a professor at the Stanford Institute for Human-Centered AI, told the Times he was surprised as much as anyone by the findings of the research.
“To be brutally honest, we had a hierarchy of things that technology could do, and we felt comfortable saying things like creative work, professional work, emotional intelligence would be hard for machines to ever do,” he said. “Now that’s all been upended.”
The Effects in CUs
As CUToday.info has reported, the first effects of the new AI models inside credit unions are expected to be felt in lending, and companies such as Origence have been aggressive in exploring and adopting AI for backoffice loan processing.
According to the Times’ analysis, a range of new research has analyzed the tasks of American workers, using the Labor Department’s O*Net database, and hypothesized which of them large language models could do.
“It has found these models could significantly help with tasks in one-fifth to one-quarter of occupations,” the Times reported. “In a majority of jobs, the models could do some of the tasks, found the analyses, including from Pew Research Center and Goldman Sachs.”
Nearly 90 Jobs ‘Entirely Exposed’
The Times report explained the researchers asked an advanced model of ChatGPT to analyze the O*Net data and determine which tasks large language models could do. It found that 86 jobs were entirely exposed (meaning every task could be assisted by the tool). Just 4% of jobs had zero tasks that could be assisted by the technology, including athletes, dishwashers and those assisting carpenters, roofers or painters.
The job that both the humans and the A.I. agreed was most exposed was mathematician, the research found.
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