The Death of Bullshit Jobs

The Death of Bullshit Jobs: How GenAI is Reshaping the Workforce

In 2018, the late anthropologist David Graeber shook the world of work with a provocative book called Bullshit Jobs.

His thesis was both devastating and liberating: millions of people spend their lives doing work that, deep down, they know doesn’t matter.

In his exploration of work, Graeber’s message resonates even more today as we consider the implications of automation and technology on employment, leading us to confront the reality of The Death of Bullshit Jobs.

These aren’t just boring or unpleasant tasks. They’re roles that could disappear tomorrow and the world would continue on, largely unaffected.

Graeber called them “bullshit jobs,” and he categorized them into five familiar types:

  • Flunkies: jobs that exist only to make someone else look important.

  • Goons: jobs that serve little purpose beyond countering other goons, like PR wars or lobbying.

  • Duct Tapers: jobs that patch up problems that shouldn’t exist in the first place.

  • Box Tickers: jobs created to generate the illusion that something is being done.

  • Taskmasters: jobs where the main output is supervising unnecessary work.

It was a stinging critique of late-stage capitalism. But here’s the twist Graeber could not have predicted: the rapid rise of Generative AI may finally bring about The Death of Bullshit Jobs.

The Death of Bullshit Jobs

AI as the Great Exposer

The pandemic gave us a preview. When COVID forced companies into remote work, something shocking happened: entire layers of bureaucracy vanished overnight. Meetings evaporated, reports slowed down, and yet—the world kept turning.

Now AI is accelerating that revelation.

Generative AI is more than an automation tool. It is a mirror.

It exposes which tasks are genuinely productive and which ones were always empty rituals.

For example:

  • Box Tickers: AI can auto-generate compliance reports, status updates, and summaries in seconds. The illusion of progress collapses.

  • Duct Tapers: Microsoft Copilot, Google Gemini, and Power Automate fix repetitive problems at the source, eliminating the need for patchwork labor.

  • Taskmasters: AI dashboards track workflows in real time, cutting through layers of middle management whose primary task was monitoring others.

This isn’t theoretical. Layoffs in tech, marketing, operations, and support roles are disproportionately hitting the exact categories Graeber warned about.

In short, The Death of Bullshit Jobs is already underway.

Bullshit Jobs are being exposed.



I am already seeing firsthand how GenAI technologies increase personal productivity for those who embrace them, while also revealing the uncomfortable truth about roles and individuals who were never adding much value in the first place.


The Human Cost

At first glance, this might feel like justice. Why keep jobs that don’t matter? But the story is more complicated.

Even “bullshit jobs” gave people a paycheck, structure, and a sense of identity. Remove them without alternatives, and you don’t just create unemployment—you create alienation.

People don’t just need income. They need purpose.

This is where the danger lies. If AI eliminates the empty work but leaders fail to create pathways toward meaningful work, society could face rising resentment, disconnection, and despair.

Graeber always argued that bullshit jobs were not just an economic failure, but a moral one.

And now leaders are being forced to reckon with that moral question head-on.


Leaders Face a Double Mandate

For organizational leaders, this moment is more than a strategic challenge. It is a test of conscience.

Leaders Face a Double Mandate

On one hand, ignoring AI is negligent. The productivity and cost savings are too significant to overlook. Leaders have a duty to use technology wisely and stay competitive.

On the other hand, leadership is not just about optimization. It is about stewardship.

True leadership means protecting the well-being of people even while systems change.

That means asking hard questions:

  • Can we redeploy talent from bullshit roles into creative, strategic, or human-centered work?

  • Can we design roles where AI handles the drudgery while humans focus on innovation, empathy, and vision?

  • Are we building organizations where people connect with purpose—or simply shuffling them out the door?

The easy road is layoffs. The harder, moral path is reinvention.


From Busywork to Human Work

Here’s where The Death of Bullshit Jobs creates both risk and opportunity.

The optimistic scenario: AI removes the waste and frees up human potential.

Imagine fewer hours spent chasing signatures, formatting slides, or writing reports no one reads. Instead, people could use that time to innovate, serve customers, strengthen communities, and create.

The pessimistic scenario: leaders use AI primarily for cost-cutting. Millions of people are cut loose without reskilling, without direction, and without meaningful alternatives.

That doesn’t just widen inequality—it frays the very fabric of society.

Which future we get depends entirely on leaders. AI doesn’t carry a moral compass. It will simply amplify the values and priorities of the people in charge.

Leaders need to learn how to embrace an AI Mindset and also have a great opportunity to introduce a culture of Human-AI collaboration.


Historical Parallels

We’ve been here before.

The Industrial Revolution destroyed countless agricultural and artisanal jobs, but it also created entire new industries.

Electrification eliminated coal-driven steam jobs, but birthed manufacturing and modern infrastructure.

Computers automated clerical work, yet created software, design, and digital economies.

Each wave brought disruption and reinvention. What made the difference was whether societies invested in transition: education, retraining, and new opportunities.

There is a great opportunity ahead for leaders to re-shape the workforce, but they must not only think short-term gains. They must strategically also look at the long-term strategy for implementing AI and upskilling, retraining, and reframing the workforce.

The lesson is clear: The Death of Bullshit Jobs doesn’t have to mean the death of work itself.

But without intentional reinvention, it could.


The Moral Test of Leaders

This is the leadership moment of a generation. AI is inevitable. Efficiency is inevitable. What’s not inevitable is whether this shift produces despair or dignity.

Leaders who succeed will be those who:

  • Redesign roles to harness AI’s strengths while elevating human skills.

  • Invest in reskilling so displaced workers can transition into meaningful paths.

  • Measure success not only by profit, but by purpose and human flourishing.

This isn’t just good ethics. It’s good business.

Companies that use AI to empower rather than discard will attract the best talent, the most loyal customers, and the strongest long-term reputation.


Beyond Economics: The Purpose Question

Ultimately, The Death of Bullshit Jobs forces us to confront a question deeper than economics: What is work for?

Is it simply a paycheck? A way to survive? Or is it a calling, a chance to contribute, a place to find identity and growth?

AI can eliminate the pretense of work. But it cannot create meaning. That is a distinctly human challenge.

The task ahead is not just to survive AI’s disruption, but to design a new philosophy of work where purpose is central, not peripheral.


Closing: The Inevitable Choice

Graeber saw bullshit jobs as a moral failure of modern work.

Now, with AI, that failure is being laid bare for all to see.

The machines will take on the busywork. They will expose the duct tape. They will shred the checklists.

But what happens next is up to us.

👉 Will leaders free people to pursue better things, or abandon them once their bullshit jobs disappear?

👉 Will AI be a tool of alienation or a tool of human liberation?

The death of bullshit jobs is inevitable.

The question is whether we let that death drag society into despair—or use it as the spark to finally make work meaningful again.

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