The Jobs Most Exposed to ChatGPT
New study finds that AI tools could more quickly handle at least half of the tasks that auditors, interpreters and writers do now
New study finds that AI tools could more quickly handle at least half of the tasks that auditors, interpreters and writers do now
Accountants are among the professionals whose careers are most exposed to the capabilities of generative artificial intelligence, according to a new study. The researchers found that at least half of accounting tasks could be completed much faster with the technology.
The same was true for mathematicians, interpreters, writers and nearly 20% of the U.S. workforce, according to the study by researchers at the University of Pennsylvania and OpenAI, the company that makes the popular AI tool ChatGPT.
The tool has provoked excitement and anxiety in companies, schools, governments and the general public for its ability to process massive amounts of information and generate sophisticated—though not necessarily accurate or unbiased—content in response to prompts from users.
The researchers, who published their working paper online this month, examined occupations’ exposure to the new technology, which is powered by software called large language models that can analyse and generate text. They analysed the share of a job’s tasks where GPTs—generative pre-trained transformers—and software that incorporates them can reduce the time it takes to complete a task by at least 50%. Research has found that state-of-the-art GPTs excel in tasks such as translation, classification, creative writing and generating computer code.
They found that most jobs will be changed in some form by GPTs, with 80% of workers in occupations where at least one job task can be performed more quickly by generative AI. Information-processing roles—including public relations specialists, court reporters and blockchain engineers—are highly exposed, they found. The jobs that will be least affected by the technology include short-order cooks, motorcycle mechanics and oil-and-gas roustabouts.
To reach their conclusions, the authors used a government database of occupations and their associated activities and tasks, and had both people and artificial intelligence models assign exposure levels to the activities and tasks.
The researchers didn’t predict whether jobs will be lost or whose jobs will be lost, said Matt Beane, an assistant professor at the University of California, Santa Barbara, who studies the impact of technology on the labor market and wasn’t involved in the study.
“Exposure predicts nothing in terms of what will change and how fast it will change,” he said. “Human beings reject change that compromises their interests” and the process of implementing new technologies is often fraught with negotiation, resistance, “terror and hope,” he said.
The real challenge, Mr. Beane said, is for companies, schools and policy makers to help people adapt. “That’s a multi-trillion dollar problem,” he said, and can include, among other things, training workers to collaborate effectively with the technology and redesigning jobs to enhance the autonomy, wages and career prospects of many roles.
Individuals have already begun using generative AI to work more quickly, though many employers worry about security and accuracy.
Michael Quash, a 32-year-old Richmond, Va.-based broadcast engineer, said he has found greater efficiency when he uses ChatGPT for monotonous tasks or to work through complex coding problems. “ChatGPT can be a force multiplier,” he said.
His employer, Audacy Inc., said it is letting employees experiment with the tool. “Like many media companies, we believe that there is value in ChatGPT for certain processes,” said Sarah Foss, Audacy’s chief technology officer.
Other recent studies have also found that generative AI can save significant time and produce better results than humans can. In a Massachusetts Institute of Technology experiment focused on college-educated professionals, researchers divided 444 grant writers, marketers, consultants, human-resources professionals and other workers in half. Both groups were asked to complete short written tasks, and one group could use ChatGPT to do so.
Those with access to ChatGPT finished their tasks 10 minutes faster. And outside readers who assessed the quality of these assignments said the AI-assisted workers did better than the other group, according to the study, which was released in March and hasn’t been peer-reviewed.
Another paper published last week by researchers at Microsoft Corp., which is investing billions into OpenAI, analysed the capabilities of GPT-4, the latest version of OpenAI’s tool, and found that it could solve “novel and difficult tasks” with “human-level performance” in fields such as mathematics, coding, medicine, law and psychology.
Amanda Richardson, chief executive of the technical interview platform CoderPad, said she’s used ChatGPT to write slides when she presents about her field. The tool creates a basic outline, and from there she tracks down specific details to make a more compelling presentation, she said.
CoderPad’s customers are businesses looking to hire. They ask job candidates to demonstrate their technical skills using CoderPad, and Ms. Richardson has recommended that customers explicitly make ChatGPT part of their interview process: Ask applicants to use ChatGPT to solve a problem, and then have them critique the answer it spits out. Does the code have any security vulnerabilities? Is it scalable? What’s good or bad?
“It leans into embracing developer efficiency,” she said.
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Excluding the Covid-19 pandemic period, annual growth was the lowest since 1992
Australia’s commodity-rich economy recorded its weakest growth momentum since the early 1990s in the second quarter, as consumers and businesses continued to feel the impact of high interest rates, with little expectation of a reprieve from the Reserve Bank of Australia in the near term.
The economy grew 0.2% in the second quarter from the first, with annual growth running at 1.0%, the Australian Bureau of Statistics said Wednesday. The results were in line with market expectations.
It was the 11th consecutive quarter of growth, although the economy slowed sharply over the year to June 30, the ABS said.
Excluding the Covid-19 pandemic period, annual growth was the lowest since 1992, the year that included a gradual recovery from a recession in 1991.
The economy remained in a deep per capita recession, with gross domestic product per capita falling 0.4% from the previous quarter, a sixth consecutive quarterly fall, the ABS said.
A big area of weakness in the economy was household spending, which fell 0.2% from the first quarter, detracting 0.1 percentage point from GDP growth.
On a yearly basis, consumption growth came in at just 0.5% in the second quarter, well below the 1.1% figure the RBA had expected, and was broad-based.
The soft growth report comes as the RBA continues to warn that inflation remains stubbornly high, ruling out near-term interest-rate cuts.
RBA Gov. Michele Bullock said last month that near-term rate cuts aren’t being considered.
Money markets have priced in a cut at the end of this year, while most economists expect that the RBA will stand pat until early 2025.
Treasurer Jim Chalmers has warned this week that high interest rates are “smashing the economy.”
Still, with income tax cuts delivered at the start of July, there are some expectations that consumers will be in a better position to spend in the third quarter, reviving the economy to some degree.
“Output has now grown at 0.2% for three consecutive quarters now. That leaves little doubt that the economy is growing well below potential,” said Abhijit Surya, economist at Capital Economics.
“But if activity does continue to disappoint, the RBA could well cut interest rates sooner,” Surya added.
Government spending rose 1.4% over the quarter, due in part to strength in social-benefits programs for health services, the ABS said.
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