Vučko’s argument begins with a simple observation about the structure of human experience. Nearly everything people do, from careers to hobbies to relationships, involves investing psychological or physical resources toward outcomes that are not guaranteed in advance. A surgeon operates without knowing exactly how the patient will recover. A novelist writes without knowing whether the book will find readers. A climber ascends a wall that might defeat them. These two features—effort and uncertainty—are usually treated as costs to be minimized. Technological progress, in its idealized form, promises precisely that: machines that work harder than we do and predict outcomes better than we can. But Vučko asks what remains of an activity once both parameters are optimized away.

To answer that question, he grounds his analysis in self-determination theory, one of the most influential frameworks in contemporary motivation science. Developed by psychologists Edward Deci and Richard Ryan, the theory holds that human well-being depends on satisfying three basic psychological needs: autonomy, competence, and relatedness. Crucially, the sense of competence is not fed by easy successes. It grows from challenges that demand genuine investment and from outcomes that could plausibly have gone otherwise. When an activity requires no effort and carries no risk of failure, the psychological machinery that generates satisfaction from achievement has nothing to work on. Vučko contends that effort and uncertainty are therefore not incidental annoyances but prerequisites for any sufficiently meaningful activity.

The thought experiment at the heart of the paper imagines extreme automation taken to its logical endpoint. Suppose technology advanced to the point where machines outperform humans at every task—diagnosing disease, writing legal briefs, composing music, driving vehicles, even conducting scientific discovery. There are already signs of this trajectory. GPT-4 has been shown to pass the bar exam, and AI systems for breast cancer screening have matched or exceeded human radiologists in international evaluations. Moravec’s paradox, the observation that tasks easy for humans remain hard for machines even as machines conquer tasks humans find difficult, is steadily eroding as artificial intelligence encroaches on domains once considered exclusively human.

What happens to such activities in a fully automated world? Vučko’s answer is that they do not disappear, but they change character. Activities in which humans can no longer compete with technology become, in his terms, recreation. A chess player today already inhabits this condition: since Deep Blue defeated Garry Kasparov in 1997, no human seriously claims to play chess better than a machine, yet millions still play. The game has become something played for enjoyment rather than objective achievement. Vučko argues that this transformation is sufficient to conditionally erode the subjective meaningfulness of activities for some individuals. Knowing that your best effort is objectively trivial compared with what a machine can do changes the texture of the experience, even if the pleasure remains.

The erosion does not stop with obviously competitive pursuits. Vučko emphasizes that no activity exists in isolation. Even autotelic activities—those done for their own sake, such as socializing, self-reflection, or reading fiction for the pleasure of emotional transportation—can be negatively affected by the awareness of one’s diminished capacity for objective contribution. A person might still enjoy a long walk in the mountains, but if they know that no physical accomplishment of theirs carries any weight in a world where machines handle everything, the background sense of being a capable, contributing agent begins to thin. Meaning, on this account, is not generated activity by activity in a vacuum; it depends on a broader self-understanding in which one’s efforts matter.

This leads to what may be the paper’s most striking implication: there is a limit to how much human distress technology can alleviate without producing a new kind of suffering. Much of the motivation for automation is the reduction of toil, risk, and anxiety. But if Vučko is right, the sources of distress he targets—uncertainty about outcomes and the strain of effort—are the same sources from which meaningful activity draws its nourishment. Eliminating all sources of distress also eliminates the potential for meaningful activities. The utopian project, pursued without limit, becomes self-defeating. Limited automation, by contrast, is conducive to meaningful lives: it removes drudgery while leaving humans room to strive, fail, and achieve on their own terms.

The argument engages a rich philosophical tradition. Robert Nozick’s famous experience machine thought experiment anticipated the intuition that pleasurable experiences divorced from genuine achievement feel hollow. Albert Borgmann’s philosophy of technology distinguished between the shallow comforts of the device paradigm and the deeper satisfactions of focal practices that demand engagement. More recently, John Danaher has explored whether life in a world without work can be worth living, and L. Scripter has defended the possibility of meaningful lives alongside artificial intelligence. Vučko’s contribution is to identify a specific mechanism—the joint minimization of effort and uncertainty—and to trace its consequences systematically, rather than relying on general appeals about the dignity of labor.

Notably, the paper does not claim that a highly automated future must be bleak. Moderate automation, which relieves people of tedious and dangerous work while preserving domains of genuine human challenge, could expand the space for meaningful activity rather than contract it. The concern is specifically with unlimited automation—the endpoint at which no domain of human striving retains objective significance. Vučko also acknowledges an important boundary condition: transhumanist scenarios in which humans merge with technology warrant separate consideration. If the striving agent is itself augmented, or partially constituted by the machines, the analysis of who is investing effort and bearing uncertainty changes fundamentally, and the existential calculus may differ.

For readers watching generative AI reshape creative and professional landscapes, the analysis offers a framework for anxieties that are often dismissed as mere nostalgia or Luddism. Creative displacement anxiety—the unease felt by artists and writers whose skills seem suddenly replicable—may reflect a genuine psychological injury, not simple economic fear. If competence, effort, and uncertainty are pillars of meaning, then watching machines master one’s craft after years of dedicated practice strikes at something deeper than income. Vučko’s paper suggests that societies racing toward maximal automation should ask not only what tasks can be automated, but what human capacities for meaning they are quietly dismantling—and whether some friction is worth keeping.

Subject of Research: The impact of extreme technological automation on effort, uncertainty, and the meaningfulness of human activities

Article Title: The limits of technological progress: effort, uncertainty, and meaningful activities

Article References: Vučko, D. (2026). The limits of technological progress: effort, uncertainty, and meaningful activities. AI & SOCIETY. https://doi.org/10.1007/s00146-026-03356-4

Image Credits: AI Generated

DOI: 10.1007/s00146-026-03356-4

Keywords: automation, technological progress, meaning in life, self-determination theory, artificial intelligence, human obsolescence, effort, uncertainty, recreation, philosophy of technology, well-being, transhumanism