High-Earning Jobs More Exposed to AI Impact, New Study Finds

High-earning jobs like engineers and scientists are more likely to be exposed to the changes brought by AI than lower-paid employees, according to a new research study.

Out of all 9,000 roles studied, researchers determined that at least a fifth of workers would see half their tasks taken by generative AI and large language models soon.

High-Earning Jobs More Exposed to AI Impact, New Study Finds
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Accounting for AI's current development and distribution trends, the researchers estimated that the affected jobs could balloon over 46% of the jobs.

The results coincide with the International Monetary Fund's earlier warnings that AI's impact would most likely be felt in high-skilled jobs and advanced economies.

What are the Jobs Most Affected by AI?

According to the study, software engineers and data scientists are highly likely to feel the impact of automation first as the technology is suited for high-data tasks common within these roles.

Other affected jobs include blockchain engineers, clinical data managers, public relations officers, and financial analysts.

That said, the research did not indicate that even affected workers would be fully taken over by AI soon, consistent with earlier studies stating that AI remains far too expensive and erroneous to replace human workers.

Industry Concerns Grow Amid Rapid AI Rollouts

The publication of the study reflects growing concerns within the AI industry, not only from independent research groups but from the very people inside the leading establishments of this time.

Two out of the four researchers of the study are affiliated with OpenAI, the hottest AI firm in the industry, releasing waves of new LLMs this year alone to meet the increasing demand for technology.

Former and current employees have long raised issues with this rapid development process in the company as safety culture takes the backseat to new products and revenue sources.

Several OpenAI employees have even signed a letter calling out against companies stifling employees from expressing risk-related concerns about their products and technologies.

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