Artificial Intelligence is rapidly changing the way work is done. The use of AI, especially in office work, is continuously increasing. However, it is still difficult to understand how much impact this will have on the job market in the future. To understand this, AI company Anthropic has created a new system to identify which jobs are most likely to be impacted by AI.
How was the study done?
In this research, economists Maxim Massenkoff and Peter McCrory created a unique index. The purpose of this index is to understand how many tasks in different professions can be easily done by large language models, or AI systems. Researchers analyzed job-related tasks and real-world AI tools. If a profession has more tasks that AI is already doing or can easily do, then that profession is considered to be at greater risk of automation.
These jobs may be most affected
According to the report, many technology-related jobs may be most affected by AI, especially the programming-related jobs listed above. The study found that about three-fourths of programmers’ daily tasks could be done by AI systems. Customer service workers, data entry workers, and medical records handlers are also among the professions most likely to be impacted by AI.
Some professions are still considered safe
However, not all jobs will be impacted by AI. The report says that the role of AI is limited in jobs that require physical effort and human presence. For example, jobs like cooks, lifeguards, and dishwashers are currently considered largely safe from automation.
Have jobs already been lost because of AI?
Concerns about job losses due to AI are certainly increasing, but this study has not yet found any concrete evidence that job losses have started on a large scale. However, since the introduction of the AI tool ChatGPT, there has been little change in unemployment figures between jobs impacted by AI and those that are not.
Clear change in hiring trend
Researchers also found that there has been a slight change in the hiring pattern. Jobs seem to be slowing down, especially for younger candidates. There are signs of a decline in the hiring of candidates aged 22 to 25, especially in sectors where AI tools can handle certain tasks.
