Could AI replacing human workers lead to the disappearance of the so-called “bullshit jobs” in corporations first?

Will Artificial Intelligence Eliminate “Bullsh*t Jobs” Before Routine Tasks? A Closer Look at Automation and Employment

As advancements in AI technology accelerate, a compelling question emerges: if automation and artificial intelligence are poised to replace many roles, why do certain seemingly trivial or administrative jobs persist? Specifically, roles often labeled as “corporate bullshit jobs”—such as project managers, consultants, and other administrative positions—are frequently criticized for revolving around meetings, emails, and PowerPoint presentations. Shouldn’t these roles, which some deem unnecessary, be among the first to disappear with increased AI integration?

Understanding the Nature of “Bullsh*t” Jobs

The term “bullsh*t jobs” gained prominence through discussions about roles that lack obvious purpose or meaningful output. These positions often involve coordinating meetings, creating reports, or managing communications—tasks that, while essential to organizational function, are often viewed as inefficient or redundant. With AI capable of handling repetitive or administrative tasks, it’s logical to assume these roles might become obsolete sooner than more tangible roles such as housekeepers or factory workers.

Why Do Routine Administrative Roles Persist?

Remarkably, roles like administrative assistants, factory workers, or manual labor positions remain resilient even as technology evolves. Several factors contribute to this phenomenon:

• Complex Human Interaction: Many jobs require emotional intelligence, nuanced judgment, or physical presence—areas where AI and automation still face limitations.
• Implementation Lag: Organizational inertia and investment in existing workflows often slow down the adoption of new automation technologies.
• Task Interdependence: Certain roles are intertwined with broader operational processes, making their immediate disappearance complex.

The Curious Case of Educational Disciplines and Job Security

Another intriguing aspect is how different academic backgrounds relate to job security amidst AI advancement. For example, degrees in humanities, languages, design, or even computer science seem to face different levels of risk compared to fields like economics, finance, or administrative studies. What accounts for these disparities?

• Skill Transferability: Fields emphasizing critical thinking, creativity, and communication—such as the arts and humanities—often produce adaptable skills that are harder for AI to replicate.
• Automation Susceptibility of Data-Driven Roles: Professions rooted in data analysis, financial modeling, or routine administrative tasks are more susceptible to automation, especially within finance and economics.
• Evolving Job Markets: As AI takes over data-heavy or repetitive functions, demand shifts toward uniquely human skills such as strategic planning, ethical oversight