ChatGPT-like AI systems will affect 80 percent of US jobs, with personal financial advisors and brokers, insurers and data processors topping the list.
The warning comes from an official study by OpenAI – the makers of ChatGPT – and the University of Pennsylvania.
The team found that around 15 percent of all worker tasks could be completed significantly faster and with the same quality using AI.
Most “exposure” falls on white jobs, such as mathematicians, accountants, and writers, and jobs that make at least $80,000 a year.
The warning comes from researchers at OpenAI and the University of Pennsylvania, who were studying whether the technology could complete tasks faster than humans. “Exposure” means how much AI impacts a job
Recently, following the launch of ChatGPT in November and its ability to handle eerily human professional tasks like typing emails and resumes, fears that software is destroying human jobs have made waves around the world.
OpenAI researcher Pamela Mishkin, who was involved in the study, tweeted: “Today’s GPTs can do a lot.
“Over the past few years, we’ve seen them get better and better at solving increasingly complex problems with fewer and fewer examples of fewer and fewer related problems.”
“The paper examines this trend and not a specific model available today.”
The “GPT” in ChatGPT stands for Generative Pre-Trained Transformer, an LLM architecture with breakthrough capabilities for a variety of generative tasks.
The study analyzed 1,016 occupations and their 19,265 tasks and obtained employment and wage data from the 2020 and 2021 Occupational Employment Series provided by the Bureau of Labor Statistics.
The team then analyzed the data using AI skills to see which positions could run more smoothly if executed by the technology.
The overall results show that “at least 10 percent of their work tasks are affected by the introduction of LLMs, while approximately 19 percent of workers see at least 50 percent of their tasks affected,” according to the study published in arXiv.
The team considered exposure in formulating the list of at-risk jobs, which included basic skills of occupations such as active listening, speaking and critical thinking, for which Ai was designed.
The study found that 86 occupations were “completely exposed to AI,” with several receiving a 100 percent score.
These include legal officers, clinical data managers, web designers and journalists.
However, graphic designers, marketing strategists and financial managers received less than 15 percent.
The overall results of the work indicate that “at least 10 percent of their job roles will be affected by the introduction of LLMs, while approximately 19 percent of workers may see at least 50 percent of their job roles affected
Lower-paid jobs such as dishwashers, electricians and hairdressers are also safe from AI.
And although pharmacists, lawyers and astronomers have a median income of $81,980, these occupations were not found to be at high risk either.
OpenAI CEO Sam Altman previously said that ChatGPT should be viewed as a tool and not a replacement for the human worker.
But the latest findings suggest otherwise.
The OpenAI research paper mirrors another paper led by Princeton University, which identified 20 jobs at risk from the technology.
In this study, the 10 AI applications included: abstract strategy games, real-time video games, image recognition, visual question answering, image generation, reading comprehension, translation, speech recognition, and instrumental track recognition.
The team conducted the research by linking 10 AI-powered applications – like speech – to 52 human skills to understand if they are closely related.
The results showed that telemarketers, teachers, school psychologists and judges are most at risk from the new technology.
In this study, the 10 AI applications included: abstract strategy games, real-time video games, image recognition, visual question answering, image generation, reading comprehension, translation, speech recognition, and instrumental track recognition.
And the 52 human skills, taken from the Occupational Information Network (O*NET) database used by the U.S. Department of Labor to describe over 800 occupations, include examples such as oral comprehension, oral expression, inductive reasoning, and arm-hand -Stability.