The award places particular emphasis on the central thread running through Acemoglu’s career: the analysis of how political institutions condition economic institutions and, through them, the long-term prosperity of nations. This framework, developed over more than three decades of research, has become a point of reference for economists and political scientists seeking to explain why some countries grow rich while others remain trapped in poverty. Rather than treating geography, culture, or natural resources as the decisive factors, Acemoglu’s work argues that the rules governing political and economic life, who holds power, how that power is constrained, and whether opportunities are broadly shared, are fundamental determinants of national success and failure.

The jury’s citation connected this scholarship directly to the present moment. At a time when fundamental democratic principles, including the rule of law, the protection of fundamental rights, and respect for pluralism, face new challenges in different parts of the world, the jury stated, his work provides important theoretical insights and valuable analytical elements for informed public debate and the design of public policies. The statement underscores a distinctive feature of Acemoglu’s research: its explicit engagement with questions of institutional design and democratic resilience, areas that sit at the intersection of technical economics and urgent contemporary politics.

Acemoglu’s path to prominence began with an academic formation spanning two countries. He graduated from the University of York in the United Kingdom in 1989 and completed his doctorate at the London School of Economics in 1992, remaining at the institution for a year as a teacher. In 1993, at a remarkably young age for such an appointment, he joined the faculty of the Massachusetts Institute of Technology, where he has built his career ever since. From that base he has produced a body of work whose scale is unusual even by the standards of elite economics departments.

That output includes more than a hundred articles published in the discipline’s leading international journals, among them the American Economic Review, the Quarterly Journal of Economics, and the Review of Economic Studies, as well as four books. His standing within the profession is reflected in his membership of the American Academy of Arts and Sciences, the European Economic Association, and the Econometric Society, and in his service as editor of Econometrica, widely regarded as one of the most rigorous and selective journals in economic theory. Few economists have combined such editorial and institutional responsibilities with a comparable record of published research.

Among his most impactful works is Why Nations Fail: The Origins of Power, Prosperity, and Poverty, written with James A. Robinson, a book that brought their institutional argument to a global readership far beyond academic economics. At its core lies the concept of inclusive institutions: those that encourage investment and innovation and provide a level playing field for participants in economic life. The book contrasts these with arrangements that concentrate power and opportunity in the hands of narrow elites, an imbalance that, in the authors’ account, suppresses the creative destruction and broad participation on which sustained prosperity depends. The distinction between inclusive and extractive institutions has since become a standard analytical vocabulary in development economics and comparative politics.

A second fundamental axis of Acemoglu’s research concerns technological progress and its economic and social consequences. His work has examined how innovation transforms economies and, critically, how its benefits and costs are distributed across different groups in society. This line of inquiry has become increasingly prominent as automation, artificial intelligence, and digital platforms reshape labor markets in wealthy and developing countries alike. By treating technology not as an exogenous force but as a set of choices shaped by institutions, incentives, and power, Acemoglu’s research asks who decides which technologies are developed and whose interests those decisions serve, questions that have moved to the center of public policy debates on the future of work.

The honors accumulated across his career trace the trajectory of a scholar whose influence was recognized long before the field’s highest award arrived. He received the John Bates Clark Medal from the American Economic Association in 2005, an honor traditionally reserved for economists under the age of forty who have made significant contributions to the discipline, and the BBVA Foundation Frontiers of Knowledge Award in 2016. The culminating recognition came in 2024, when he was awarded the Nobel Memorial Prize in Economic Sciences together with Simon Johnson and James A. Robinson for their studies of how institutions are formed and how they affect prosperity, a prize that confirmed the centrality of the institutional research program the three scholars built over decades of collaboration.

The medal Acemoglu will receive in December carries its own distinguished history. The CSIC Extraordinary Medal for Scientific Merit, formerly known as the CSIC Gold Medal, has recognized since its creation in 1989 individuals and entities that have made exceptional contributions to the advancement of science and technology. Its roster of past recipients reads as a cross-section of modern science: the British theoretical physicist Stephen Hawking, honored in the medal’s inaugural year of 1989; the American Nobel laureate physicist Roy J. Glauber in 2008; the Colombian neuroscientist Rodolfo Llinás in 2012; the astrophysicist Jocelyn Bell Burnell, whose discovery of pulsars transformed astronomy, in 2015; the Nobel laureate in Physics Donna Strickland in 2023; and the Spanish biophysicist Eva Nogales, recognized in 2024 for her pioneering work in visualizing macromolecular function using cryo-electron microscopy.

Acemoglu’s addition to that list is notable for a simple reason: he is an economist joining an honor roll dominated by natural scientists, a reflection of the CSIC’s judgment that his contributions to understanding institutions, democracy, and development rank among the exceptional advances in knowledge of recent decades. As democracies worldwide confront pressures on their institutions and as technological change accelerates faster than the frameworks governing it, the jury’s rationale reads as both a tribute to a career and a statement about the questions that matter now. The December ceremony will formally mark what the citation makes clear: a body of work that has given scholars, policymakers, and citizens a shared language for discussing why nations succeed, why they fail, and how the rules societies write for themselves shape the prosperity and freedom their people enjoy.

Subject of Research: Award of the CSIC Extraordinary Medal for Scientific Merit to economist Daron Acemoglu for his research on institutions and economic development

Article Title: CSIC awards its Extraordinary Medal for Scientific Merit to economist Daron Acemoglu

Article References: CSIC awards its Extraordinary Medal for Scientific Merit to economist Daron Acemoglu. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: Daron Acemoglu, CSIC, Extraordinary Medal for Scientific Merit, institutions, economic development, political economy, democracy, technological progress, Nobel Memorial Prize, Why Nations Fail, MIT, Spain

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