AI tools impress some for their ability to perform complex tasks once thought to be the preserve of humans, as ChatGPT has been used to pass exams, deliver a speech, write computer programs, and advise on human and social relationships, to name a few. From a large number of its functions, according to what was published by the British “Daily Mail”.
Scary question
But for others, these technologies have raised the dreaded question of whether AI could take their job? The question was answered through the results of a study conducted by researchers from Princeton University in New Jersey, USA, and published by arXiv, about the 20 professions that are most at risk of being dispensed with in favor of artificial intelligence.
Call centers and universities
Call center workers came first on the list, but the next eight were all teachers from a variety of disciplines, including languages, history, law, and religion.
The researchers write that “the impact of AI on work is likely to be multifaceted. In some cases, AI can replace work previously done by humans, and in other cases, AI can supplement work previously done by humans.” “.
Emoji image of artificial intelligence (iStock)
Artificial intelligence language modeling
Notable examples of how AI capabilities continue to advance include the recent improvements in AI language modeling in ChatGPT, in particular, which have garnered a great deal of attention and controversy.
In the Princeton study, researchers first built an algorithm that measures how well 800 professions can be automated by AI, by connecting 10 AI-powered applications, such as translation, language modeling, and image generation, to 52 human abilities, such as verbal comprehension and hand steadiness.
The 20 most affected jobs
The results revealed the top 20 jobs that can account for the largest percentage of their workload by artificial intelligence technology, including high-paying jobs that require a high level of education, such as actuaries, budget analysts, accountants and judges.
But when the researchers modified the algorithm to take into account important advances in language modeling over the past few months, the list included other, higher-risk jobs, chief among them call center staff and telemarketers, a finding that is perhaps not surprising since many companies are currently using Truly AI-powered chatbots.
“One might imagine that telemarketers could benefit from using language modeling to augment their work,” the researchers wrote. “For example, customer responses could be fed into a real-time language modeling engine and relevant and customer-specific prompts quickly sent to the telemarketer,” the researchers wrote. Or one might imagine that telemarketers could be replaced by bots after mastering language modeling.”

Higher education teachers
The results also showed that 14 out of 20 professions, including the post of a higher education teacher, are in various disciplines, including history, geography, religion, sociology and English. “Careers in education are relatively more likely to be affected by advances in language modeling than other professions,” the researchers explain.
Swiss study
The study comes shortly after researchers from the Federal Institute of Technology in Lausanne revealed which jobs they thought were most and least likely to be taken on by robots.
Packaging and construction workers
Their findings suggest that those involved in meatpacking, janitorial, construction and construction face the greatest risk of being replaced by machines, while the jobs of teachers, lawyers and physicists are in the safest field.
The main challenge
“The main challenge facing society today is how a person will become resilient against automation,” explained Professor Rafael Lalive, who co-led the study.
He noted that the findings of the study provide “detailed career advice for employees and workers who face significant risks from automation, allowing them to take on safer jobs while reusing many of the skills learned in the old job.”
Based on the findings, the researchers developed a tool that revealed the risks of job automation and how one can reuse one’s abilities and expertise.