AI and the future of work: A deep crisis beyond job loss

A new study warns that the impact of artificial intelligence (AI) may extend far beyond job markets and productivity. The deeper concern, researchers argue, lies in the erosion of meaning in human life as work, long central to identity and purpose, begins to disappear under the weight of automation. The findings raise urgent questions about whether societies are prepared for the existential consequences of an AI-driven future.

Authored by Lucas Scripter of Hong Kong Polytechnic University, the study examines how AI could reshape not only employment but also the foundations of meaningful living. Titled "Is artificial intelligence a threat to meaningful work and living? Technological unemployment and the existential challenges of a transitional era," and published in AI & Society, the research provides a detailed philosophical and social analysis of how AI-driven automation may disrupt human purpose during a critical transitional phase.

Automation anxiety shifts from job loss to loss of meaning

Concerns about AI replacing human labor are not new, but the study highlights a growing shift in focus. While earlier debates centered on whether automation would eliminate jobs or create new ones, the current discussion is increasingly centered on what happens to human meaning when work disappears.

The research outlines how automation anxiety has intensified across industries, from entry-level roles to high-skill professions. Predictions about job displacement vary, but the medium-term outlook suggests significant disruption as AI systems take over both routine and complex cognitive tasks. Even if total employment levels remain stable, the transformation of work itself is expected to be profound.

Work, the study states, is not merely a source of income. In modern societies, it plays a central role in structuring daily life, shaping identity, and providing a sense of contribution to a larger social system. The potential loss of work therefore represents not just an economic challenge but a deeper existential one.

This concern is particularly acute in what the study describes as a transitional era. Unlike a distant future where a post-work society may fully emerge, the near-term reality is one in which some individuals lose their jobs while others remain employed. This uneven transition creates a social environment where traditional sources of meaning are destabilized without being fully replaced.

The research identifies three distinct time horizons for understanding AI's impact: short-term changes within workplaces, long-term scenarios of a fully automated society, and the medium-term transitional phase. It is this transitional phase, marked by technological unemployment and social instability, that the study argues poses the greatest risk to meaningful living.

The illusion of alternative meaning beyond work

A key argument the study addresses is the idea that the loss of work need not undermine meaningful living because people can find purpose in other areas such as hobbies, family life, or community engagement. This perspective, widely discussed in both academic and policy circles, suggests that automation could free individuals from undesirable labor and allow them to pursue more fulfilling activities.

The study challenges this assumption by introducing what it calls the limitations of "other sources of meaning." While non-work activities can indeed provide purpose, the research argues that they cannot fully compensate for the loss of work in contemporary society.

One key reason is the embedded nature of meaning. Work is deeply integrated into social structures, cultural expectations, and individual identities. It determines not only how people spend their time but also how they are perceived by others and how they perceive themselves. Removing work from this framework disrupts a wide network of social and psychological relationships.

The study also critiques the notion that alternative activities are inherently better sources of meaning. While leisure, creativity, and community involvement may offer valuable experiences, they do not carry the same social recognition or structural support as paid employment. In many cases, individuals who lose their jobs may struggle to access or sustain these alternative sources of meaning.

Moreover, the research highlights the risk of overestimating the adaptability of individuals. The assumption that people can seamlessly transition to new forms of meaning ignores the complexity of human identity and the historical development of personal goals and commitments.

The study introduces the concept of contingency to explain this dynamic. The relationship between work and meaning is not fixed but shaped by social and psychological factors. In a society where work occupies a central role, its loss has far-reaching consequences that cannot be easily offset by other activities.

Identity, commitment, and the collapse of meaningful work

The author argues that meaning in life is deeply tied to identity and long-term commitments. Work is not just something people do; it is something they become. Careers often represent years of training, personal investment, and social recognition, forming a central part of an individual's sense of self.

The research points out that meaningful activities are not interchangeable. They are built over time through sustained engagement and cannot simply be replaced by new pursuits. This perspective challenges simpler models of meaning that focus only on immediate satisfaction or objective value. Instead, the study argues for a "thick" understanding of meaning, one that takes into account the historical and personal context of individual lives.

When AI-driven automation eliminates jobs, it does more than remove a source of income. It disrupts the projects and identities that give life coherence and direction. The study describes this process using the concepts of "meaning whacks" and "meaning wipes." A meaning whack refers to the sudden loss of a source of meaning, such as the disappearance of a job. A meaning wipe goes further, describing the elimination of entire categories of meaningful activity. For example, if a profession is fully automated, it removes not only individual jobs but also the cultural and social structures associated with that field.

These disruptions can be particularly severe because of their speed and scale. Unlike previous technological changes, which unfolded over decades, AI has the potential to transform entire industries within a few years. This rapid change leaves little time for individuals to adapt or develop new sources of meaning.

The study also highlights the accessibility problem. Even if alternative sources of meaning exist, they may not be accessible to individuals whose identities and skills are tied to their previous work. A person who has spent decades building a career in one field may find it difficult, if not impossible, to derive the same sense of purpose from entirely different activities.

This challenge is further aggravated by social and geographic factors. New job opportunities created by technological change may be located in different regions or require different skill sets, making them inaccessible to displaced workers. Consequently, the benefits of automation may not be evenly distributed, leaving many individuals without viable pathways to meaningful engagement.

A looming existential crisis in the age of AI

The transition to an AI-driven economy carries the risk of a widespread existential crisis. As work disappears or changes beyond recognition, individuals may struggle to find purpose in a rapidly shifting social landscape.

This crisis is not inevitable, but it requires careful attention from policymakers, businesses, and society as a whole. The research suggests that economic solutions alone, such as universal basic income, may be insufficient to address the deeper issues of meaning and identity. While financial support can mitigate material hardship, it does not replace the sense of purpose derived from meaningful work.

The study calls for a broader approach that considers the social and psychological dimensions of technological change. This includes rethinking the role of work in society, developing new institutions that support meaningful engagement, and ensuring that individuals have opportunities to build and sustain meaningful lives.