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Here are the professions that will be wiped out with ChatGpt

Here are the professions that will be wiped out with ChatGpt

Generative AI like ChatGpt could make as many as 300 million jobs redundant globally, according to Goldman Sachs, but unlike machine learning in the past, high-paying, skilled jobs are also at risk. . The Economist article

After decades of machines taking over blue-collar jobs, advanced chatbots are now making white-collar workers breathe down their necks. “Generative” AI (AI) tools, such as ChatGPT, have made significant advances in creating human language and understanding context. To the point of surpassing humans in some tasks. According to the Goldman Sachs bank, this could make as many as 300 million jobs redundant globally. Several new studies look at the sectors that will experience the most change.

A recent study by OpenAI, the startup that created ChatGPT, analyzed the automation potential of 1,016 professions. Humans and AI have separately evaluated the ability of software based on large language models, which are trained on vast swathes of the Internet and then fine-tuned for specific functions, to perform 19,000 tasks. If software, such as OpenAI's GPT-4, was found to cut the time it takes for humans to complete the task by at least half, without a decline in quality, the task was considered ripe for replacement by artificial intelligence (a score of one means the entire occupation could be done in half the time). For other tasks, the authors envisioned additional software that could be added to the model, such as computer tools that could automatically pull fresh data from the Internet. They found that for 80% of Americans, at least 10% of work tasks could be done by advanced AI tools. The figure rises to 50% of tasks for an estimated 19% of workers.

The most exposed sectors are those that rely on programming and writing. This echoes another study, released on March 1 by US academics, which found that the sectors most at risk of disruption are legal services and some areas of the financial and insurance sectors. Scholars point to telemarketers as the occupation most likely to be fired. Teachers, especially those of languages, literature and history, are at the top of the list. What is striking about both studies is that, unlike what happened with machine learning in the past, it is high-paying, skilled jobs that are most exposed.

This automation is not to be feared. It could free workers from more mundane tasks and unleash higher labor productivity, which would be a boon for the struggling labor markets of advanced economies. A study by Goldman Sachs, released on April 5, suggests that generative AI could grow global GDP by 7% over the next decade.

But studies like this may be overestimating the potential of automation. Annotators responsible for mapping the overlaps between large language patterns and human capabilities may be omitting some tacit skills in professions they are less familiar with. Human qualities essential to some jobs, such as empathy or charisma, will be overlooked. And not all tasks that AI can do should be: Vanderbilt University in Tennessee has had to apologize for using ChatGPT to write a condolence email to students after a shooting at another American university.

Many companies may also lack the IT architecture or inclination to embrace AI innovations. And those who embrace it will face practical and legal problems. When chatbots don't know what to say, they often blurt out (but humans can too). The “creative” output they generate is based on a mashup of data from the Internet, raising thorny questions in terms of accuracy, privacy and intellectual property. For all their conversational appeal, real-world AI tools will still need operators. And this could even create new jobs.

(Excerpt from the foreign press review by eprcomunicazione )


This is a machine translation from Italian language of a post published on Start Magazine at the URL https://www.startmag.it/innovazione/ecco-le-professioni-che-saranno-spazzate-via-con-chatgpt/ on Mon, 01 May 2023 05:18:46 +0000.