Will AI Take Over Jobs First? Shouldn’t the So-Called Corporate “Bullshit Jobs” Vanish Ahead of Time?

Will AI Replace Corporate “Bullshit Jobs” First? A Closer Look at the Future of Work

As artificial intelligence continues to advance, many are questioning which roles will be most affected. A common assumption is that AI will primarily displace the so-called “bullshit jobs”—positions often criticized for their perceived lack of substantive value. These include roles like project managers, corporate consultants, and administrative staff, whose responsibilities are frequently seen as revolving around preparing presentations, managing endless emails, and attending numerous meetings.

This leads to an intriguing question: if AI is destined to automate or eliminate these seemingly redundant roles, why do they appear vulnerable before more traditional, practical positions like housekeepers or factory workers? Shouldn’t these supposedly “pointless” corporate jobs be among the first to vanish in the face of technological progress?

Adding another layer to this discussion is the uneven risk faced by various educational disciplines. For instance, why are degrees in humanities, languages, design, or even computer science often considered more susceptible to automation than degrees in economics, finance, or administrative fields? What factors influence which sectors are most at risk—and which are more resilient?

Understanding these dynamics requires a nuanced look at the nature of work in the modern economy. Positions that involve routine, predictable tasks—regardless of their perceived purpose—are more vulnerable to automation. Conversely, roles requiring complex judgment, creativity, or deep human interaction tend to be more resistant.

Ultimately, the conversation around AI’s impact on employment is complex and multifaceted. It challenges us to think critically about which jobs are truly essential and how educational pathways might adapt to an evolving technological landscape. As we move forward, it’s crucial to analyze not only the potential for automation but also the societal value and functionality of various roles within the workplace ecosystem.