Up to 80 PERCENT of US jobs could be impacted by ChatGPT-like AI in coming years, study warns

AI systems similar to ChatGPT will affect 80 percent of US jobs, with personal financial advisers and brokers, insurers and data processors at the top of the list.

The warning comes from researchers at OpenAI and the University of Pennsylvania, who investigated whether the technology could complete tasks faster than humans.

The team found that around 15 percent of all worker tasks could be completed much faster with AI, and at the same level of quality.

The greatest “exposure” falls on jobs that are white, such as mathematicians, accountants, and writers, and occupations that earn at least $80,000 a year.

The warning comes from researchers at OpenAI and the University of Pennsylvania, who investigated whether the technology could complete tasks faster than humans. ‘Exposure’ means how much a job will be affected by AI

Fears that the software will eliminate human jobs have recently made waves around the world following the launch of ChatGPT in November and its ability to perform eerily human professional tasks like writing emails and resumes.

OpenAI researcher Pamela Mishkin, who participated in the study, tweeted: ‘Today’s GPTs can do a lot.

“In recent years, we’ve seen them get better and better at solving increasingly complex tasks with fewer and fewer examples of less and less related tasks.”

‘The paper examines this trend, not any particular model currently available.’

The ‘GPT’ in ChatGPT stands for Generative Pretrained Transformer, an LLM architecture with innovative capabilities in a variety of generative tasks.

The general findings of the work show that “at least 10 percent of their job tasks are affected by the introduction of LLM, while approximately 19 percent of workers may see at least 50 percent of their tasks affected” says the study published in arXiv.

The team analyzed the exposure when formulating the list of jobs at risk, which included basic skills from occupations such as active listening, speaking, and critical thinking that Ai is designed to perform.

The study determined that 86 occupations were “fully exposed” to AI, with several receiving scores of 100 percent.

These include legal secretaries, clinical data managers, web designers, and journalists.

However, graphic designers, marketing strategists and financial managers received less than 15 percent.

The general findings of the work show that

The overall findings of the paper show that “at least 10 percent of their job tasks are affected by the introduction of LLM, while approximately 19 percent of workers may see at least 50 percent of their tasks impacted.” .

The lowest-paying jobs, such as dishwashers, electricians, and hairdressers, are also safe from AI.

And while pharmacists, lawyers, and astronomers have a median income of $81,980, these occupations were also not found to have high exposure.

OpenAI CEO Sam Altman previously said that ChatGPT should be seen as a tool, not a replacement for the human worker.

But the latest findings suggest otherwise.

The OpenAI research paper echoes another paper run by Princeton University that found 20 jobs at risk from the technology.

In that 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 instrument track recognition.

The team conducted the research by linking 10 AI-powered applications, such as language, with 52 human skills to understand if any are closely related.

The results showed that telemarketers, teachers, school psychologists, and judges are among those most at risk from new technology.

In that 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 instrument track recognition.

And the 52 human skills, retrieved from the Occupational Information Network (O*NET) database used by the US Department of Labor to describe more than 800 occupations, included examples such as listening comprehension, speaking , inductive reasoning and balance between arms and hands.