If AI will replace jobs, aren’t ,the so called corporate“bullshit jobs” supposed to disappear first?

Will AI Make Certain Jobs Obsolete Before Others? Rethinking the Future of Work

As Artificial Intelligence continues to advance, many are speculating about which roles will soon become redundant. A common question arises: if AI is poised to replace jobs, shouldn’t the so-called “bureaucratic” or “superfluous” positions vanish first?

In discussions about job automation, roles like project managers, consultants, or corporate administrators often come under scrutiny. Critics label these positions as “meaningless” because they involve tasks such as preparing PowerPoint presentations, responding to endless emails, and attending unproductive meetings. It seems logical to assume that such roles are more vulnerable to AI-driven replacement, given their administrative and repetitive nature.

However, this perspective raises an intriguing question: if certain jobs are considered non-essential or trivial, why do they tend to persist longer in the workforce compared to more fundamental roles like housekeepers or factory workers? Are these corporate functions truly more susceptible to automation, or is there more nuance to the job displacement narrative?

Another aspect worth exploring is the differential impact of AI on various educational backgrounds. Fields like humanities, languages, design, and computer science are often viewed as more at risk due to their reliance on specialized knowledge and creative thinking. Meanwhile, disciplines such as economics, finance, or administrative studies seem more resilient—yet why is that the case? Could it be that the perceived stability of certain degrees is influenced by their overlap with roles less likely to be fully automated, or are there other factors at play?

Understanding these dynamics is crucial as we navigate the transformation of the labor market. It’s essential to consider not just which jobs might disappear, but also how societal values, economic structures, and technological capabilities intersect to shape the future of employment.

As AI continues to evolve, the conversation around job security and the importance of different roles becomes more complex. Staying informed and adaptable will be key to thriving in the changing landscape of work.

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