Will AI Replace Jobs? Shouldn’t the So-Called Corporate “Bullshit Jobs” Vanish First?

Understanding the Future of Work in the Age of AI: Will ‘Bullshit Jobs’ Be the First to Go?

As artificial intelligence continues to evolve and revolutionize industries, many are pondering a pressing question: Will AI eventually replace human jobs? A common assumption is that roles viewed skeptically by some—often labeled as “bureaucratic” or “administrative” positions—are the first to be phased out. But is this really the case?

The notion of “bullshit jobs,” popularized by economist David Graeber, refers to roles that some perceive as unnecessary or performative—positions primarily involving endless meetings, redundant email exchanges, and superficial presentations. Examples often cited include project managers, consultants, and certain corporate administrators. If AI automates routine tasks, should these non-essential roles be eliminated first?

Interestingly, these roles are typically found within corporate and administrative environments rather than in sectors like manufacturing, hospitality, or essential services. This raises an important question: Why might AI displace certain administrative or managerial roles before more tangible, labor-intensive jobs such as cleaning or factory work?

The reality lies in the nature of these jobs. Routine, repetitive tasks in administrative settings are highly amenable to automation. AI and algorithms can efficiently handle scheduling, data entry, and even basic decision-making processes. Conversely, jobs rooted in physical labor or direct human interaction—like housekeepers, factory workers, or healthcare providers—are less susceptible to immediate automation due to technological and practical limitations.

Furthermore, the impact of AI on education and career trajectories offers additional insights. Degrees in humanities, languages, design, or computer science are often viewed as more vulnerable in an AI-driven workforce, but why? These fields emphasize critical thinking, creativity, and complex problem-solving—areas where human touch remains crucial. Meanwhile, degrees in economics, finance, or administrative studies may be perceived as more at risk because they often involve data analysis and routine decision-making, tasks increasingly handled by AI.

In conclusion, the future of employment in the age of AI is nuanced. While some white-collar roles may be rendered obsolete faster due to automation, critical physical and service-based jobs are likely to persist longer. Understanding which jobs are most vulnerable—and why—can help us prepare for a changing workforce landscape that balances technological progress with human-centric skills.