According to a British Study, All Jobs for Which Artificial Intelligence Will Come

If you’re like me, your first experience with generative AI bots like ChatGPT probably went something like this: you asked it to do something, it did what you asked, and you were impressed with how well he did it. Then an existential thought occurred to you: “Damn…can this thing do my job?”

The question of whether AI will take jobs away from us meatbags is nothing new . However, since the launch of ChatGPT late last year, the speed of AI adoption has surprised almost everyone, even those working in the field. And far from being an issue that should be considered in the distant (or even near) future, it is already having an impact on jobs : some layoffs this year occurred because companies believed AI could replace certain jobs at the time how other companies have suspended hiring for the same reasons. .

So how do you know if your job is at risk? A recent study may give you the answer (and you may not like it).

This UK study reveals the jobs ‘most exposed’ to AI and what it means

Evaluating the random actions of various companies and delving into speculation does us no good. To provide a substantive and thoughtful discussion on this topic, there is already traditional research into how AI will impact the job market, including a recent study conducted in the UK . A study by the UK Department for Education estimates that 10-30% of jobs could be automated by AI, which, depending on your general view of AI, may seem more or less than you expect.

The study examined job functions and qualifications for various sectors of the workforce and explored whether the following ten AI applications could help fill these roles:

  • Abstract strategy games

  • Real-time video games

  • Image recognition

  • Visual answer to a question

  • Generating Images

  • Reading Comprehension

  • Language modeling

  • Translation

  • Speech recognition

  • Instrumental track recognition

Based on how relevant each of these 10 functions was to a particular role, the study generated an Artificial Intelligence Occupational Exposure (AIOE) score for that role. The higher the score, the more “susceptible” this role is to artificial intelligence.

Initial findings from the study showed that “professional professions,” including sectors such as finance, law and business management, tend to be more susceptible to the impact of AI. In fact, they specifically found that the financial and insurance sectors were the most vulnerable. Based on this finding, it appears that the higher the qualifications required for a role, the more emphasis on AI the role has. In general, if your job requires higher education and more advanced training, it will likely pair well with artificial intelligence.

Of course, the opposite is also true – except for the guards, which is interesting enough. The study states that security technology has evolved to the point where, although the position requires little education and experience, it is more susceptible to the impact of AI than other jobs of its kind.

None of this is necessarily a bad thing. As the study notes, the International Labor Organization found that most jobs are only partially exposed to the impact of AI, so there is a chance that good employees in these jobs will benefit from the impact of AI rather than be completely replaced by the technology.

Which professions are most affected by AI?

Taking all this into account, the study identifies the top 20 types of jobs most susceptible to the impact of AI, as well as those most susceptible to the impact of large language modeling (LLM). It’s a long list, including industries such as consulting, telesales, psychologists, lawyers, teachers and payroll managers.

Photo: UK Department of Education.

As stated above, the study shows that finance and insurance are the most susceptible to the impact of AI among all job sectors. Other most vulnerable sectors include information and communications; professional, scientific and technical property; public administration and defense; and education.

Just as interesting as the list of the types of occupations most at risk is the list of the least at risk. Many of these jobs require manual labor that cannot be replicated by AI or technology in general, such as athletes, roofers, forklift drivers, painters, window cleaners, and masons:

Photo: UK Department of Education.

Among the “professional” professions, veterinarians, medical radiologists, dentists, physiotherapists and senior police officers are considered to be least affected by AI. The least at-risk industries include food service; Automotive, Agriculture, Forestry and Fisheries; transportation and storage; and construction.

Will AI Really Replace Any Jobs, Study Says?

Interestingly, the study focuses almost exclusively on the impact of AI, rather than the jobs that are threatened by the technology. However, they do have a list of 16 types of jobs that are considered “highly automated occupations,” and a pessimist might assume that these represent jobs that could one day be replaced by automation.

  • Authors, writers and translators

  • Bank and post office employees

  • Accountants, Payroll Managers and Payroll Clerks

  • Brokers Call and contact center vacancies

  • Customer service occupations not elsewhere classified

  • Financial officers

  • Financial Administrator Positions Not elsewhere classified

  • Administrative positions in the field of personnel management

  • Librarians

  • Market Research Interviewers

  • Other administrative occupations not elsewhere classified

  • Pension and Insurance Clerks and Assistants

  • Telephone salespeople

  • Travel agents

  • Typists and related keyboard-related occupations

You may notice some overlap between this list and the list of professions most affected by AI. This is because the study notes that all of these jobs have high AIOE scores for both AI exposure and LLM.

I can’t predict the future, and neither can this study. In fact, he cautions that the results obtained here are based on assumptions that may or may not prove to be true over time. However, this is a good look at the situation as it stands from a data perspective. And by the way, I’m not happy to see “writers” at the top of the automation list.

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