What Will Happen to You After ChatGPT Replaces Your Job?

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As AI-driven automation gains traction and threatens to take over a growing number of jobs, it pays to ask how this influx of news will affect white-collar workers. After all, the US economy has been so progressive in the past decade, affording the privileged with opportunities and creating an environment where innovation is rewarded – and the Automated Intelligence (AI) revolution isn’t likely to be different. OpenAI’s transformer-driven models have been increasingly advanced, with the latest ChatGPT already surpassing the US Medical Licensing Examination to its credit. An article written in 2019 by Michael Webb, a former PhD candidate at Stanford, even predicted that high-paying and creative jobs will be the most highly exposed to automation in a way that will particularly disrupt the most privileged three pipelines – men, white people, and Asian Americans.

This fear of displacement is why the story of one particular professional editor comes to mind. Her story was the most gripping when she was just introduced to the ChatGPT machine, visibly stunned by the output and her face hitching with worry as she assimilated the implications of AI taking her job as an editor. She isn’t alone; more experts in the field of Generative AI predict this wave of automation will hit white-collar workers the hardest, with the potential to render such highly-valued professions as tax preparers, mathematicians, and even lawyers, valueless.

OpenAI is a research laboratory based in San Francisco and started by Sam Altman and Greg Brockman in 2015. OpenAI has been studying the effects of machine learning in a variety of aspects for years now and specializing in Generative AI. OpenAI’s mission is to develop artificial general intelligence in the safest and most responsible way. OpenAI also wants to ensure that AI benefits all of humanity.

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Michael Webb was a former PhD candidate at Stanford and wrote a paper in 2019 predicting the effects of AI automation on the job market. His paper upended established wisdom that lower-skilled jobs will be replaced by automation, identified instead that most exposed will be white-collar job holders. Webb’s study then notes these white-collar workers will be disproportionately affected by AI automation, as young, white, men; those already living in upscale areas, and people in their mid-twenties become increasingly capable of being replaced.
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