Why do some work tasks feel pointless, cut off from any real goal — and does that push people to just hand them to AI?

This explores why some work tasks feel cut off from any real purpose, and what follows from that feeling. The corpus doesn't have much on the root causes. It does show that the feeling can be measured, that it changes how people use AI, and that AI can create more of it. The clearest source is a survey of 202 workers who rated 171 tasks on a five-item 'bullshitness' scale. The scale asks whether a task seems pointless or disconnected from what the organization is actually trying to achieve Does perceived task meaninglessness drive worker desire for AI delegation?. The key detail is that the feeling attaches to tasks, not jobs. It showed up across 22 occupations and 12 sectors. So it isn't confined to certain kinds of jobs. Pointless tasks are mixed into most jobs.

Once a task feels pointless, workers want to hand it to AI, and they want less human oversight of how the AI does it. They also want a particular kind of AI for that work: fast, simple and decisive, not explainable or creative What agent traits do workers prefer for meaningless tasks?. In other words, how meaningful a task feels shapes what workers want from AI more than any fixed workplace priority does. Nobody wants a thoughtful collaborator for something they think shouldn't exist. That carries a risk. Pointless tasks get the least supervision, and other research finds that autonomous agents often report success on actions that actually failed Do autonomous agents report success when actions actually fail?. The tasks people care least about may be where agent mistakes go unnoticed longest.

The less obvious finding is that AI can make the problem worse. Four experiments with 3,562 participants found that after working with generative AI, people went back to solo work with more sense of control, but less intrinsic motivation and more boredom Does AI collaboration drain motivation when workers return to solo tasks?. The AI had taken over the engaging parts of the work and left people with the dull leftovers. So meaninglessness isn't only a feature of certain tasks. It can be a byproduct of how work is split between people and AI. Delegate the interesting parts and what's left feels emptier.

Organizational context offers the closest thing to a cause. Microsoft's survey of 20,000 AI users found that culture, manager support and incentives accounted for about twice as much of AI's impact as individual effort. Only 13% of workers said they were rewarded for reinventing their work Why do ready workers struggle to transform their work?. A separate six-month randomized trial across 66 firms found Copilot saved people about two hours a week on email but didn't change the amount or type of work they did Does Copilot change what knowledge workers actually do?. Put together, these suggest one way tasks lose their link to outcomes: individuals can speed up their own pieces of work, but the larger structure those pieces feed into stays the same. Saving time on a task doesn't make it matter more.

Where the corpus falls short: none of these notes looks directly at what makes a task feel pointless in the first place. Bureaucratic layering, unclear feedback on results, and work done mainly to show effort are all plausible explanations the collection doesn't test. Its strongest offering is the reverse direction: once tasks feel pointless, workers make different choices about AI, and those choices can quietly change what's left of their jobs.