Performed Struggle

Artificial Intelligence and the Aestheticization of Effort

Pre-industrial society sacralized necessity. Industrial society moralized necessity. Post-AI society aestheticizes effort.

This dissertation argues that generative artificial intelligence does not signal the end of labor but the end of necessity as labor’s primary source of legitimacy. The civilizational stake of the present moment is not technological displacement but the loss of compulsion as the organizing rationale for human effort. The project situates this transition within a longue-durée arc in which Western societies have progressively relocated legitimacy away from necessity itself: pre-industrial cultures sacralized necessity (labor as participation in cosmological order); industrial modernity moralized it (work as proof of virtue, productivity as ethical identity); and post-AI modernity, I argue, aestheticizes effort, recovering meaning through performed rather than imposed struggle.

The dissertation’s central claim is that post-industrial society is undergoing a transition from an economy organized around necessary labor to one organized around elective difficulty. As artificial systems absorb tasks historically justified through economic necessity, human activity becomes progressively detached from material obligation and reconstituted as performance, ritual, simulation, and status play. The result is not the disappearance of work, but its theatricalization.

The conceptual engine of the project is a synthesis of three thinkers. Jane McGonigal explains why humans seek chosen difficulty — games are “hard work we choose for ourselves,” and voluntary hardship satisfies needs that material comfort does not. Byung-Chul Han explains why chosen difficulty does not automatically liberate. James P. Carse explains why the systems administering post-work life are structurally oriented toward continuation rather than resolution. Together, these accounts yield the project’s core claim: AI automates necessity, but not the human need for meaningful struggle; capital therefore reconstitutes struggle as continuous participation.

Drawing on Byung-Chul Han, particularly The Burnout Society and Psychopolitics, the dissertation argues that late-modern systems increasingly replace external coercion with internalized achievement. The transition from “you must” to “you can” does not eliminate exploitation; rather, it converts subjects into participants in their own optimization. Under these conditions, play and work become increasingly indistinguishable. Humans continue seeking meaningful struggle, but that struggle is frequently administered through systems that transform participation itself into extractable labor. The factory’s discipline of bodies has given way to the feed’s gamification of selves.

This reconstitution takes both structured and unstructured forms. Structured ludic systems — esports, speedrunning, quantified-self productivity cultures, competitive credentialism, creator economies, algorithmic status ladders — preserve the emotional and motivational architecture of industrial work while severing it from material obligation. Unstructured systems — meme propagation, parasocial labor, identity performance, ambient feed engagement, “grinding” as cultural posture — function as diffuse environments in which attention, status, and belonging become the primary stakes.

The project further reinterprets James P. Carse’s distinction between finite and infinite games in the context of computational platforms and AI-mediated social systems. Industrial labor regimes operated primarily as finite games: bounded structures with stable rules, measurable outcomes, and terminal conditions such as promotion, retirement, or accumulation. Contemporary digital systems, by contrast, simulate infinity while preserving centralized governance. True infinite play requires that participants control the conditions of continuation; platform-mediated participation freezes the rules while simulating endlessness. Social feeds, creator economies, esports ladders, and algorithmic reputation systems are not truly infinite games in Carse’s strict sense but pseudo-infinite finite games whose continuation conditions remain controlled by platforms, institutions, and capital. AI accelerates this transition by automating finite economic tasks while reorganizing human activity around perpetual engagement.

The ludic transition is, moreover, unevenly distributed across class and generational lines. For privileged populations, AI expands the domain of elective difficulty and aesthetic participation. For precarious populations, economic insecurity itself increasingly appears in gamified form through hustle culture, gig labor, creator precarity, and continuous self-branding. What emerges is not a universal liberation from work, but a reorganization of labor into performed struggle under computational management.

Generational differences surrounding AI adoption are interpreted through this framework. Many older Gen X and Millennial workers, formed inside finite-game assumptions about vocation, identity, and merit, experience the dissolution of necessity as crisis. Younger cohorts — particularly Gen Z and emerging Gen Alpha populations — were socialized within already-ludic digital environments in which video games, streaming ecosystems, memes, social identity performance, and persistent online participation had partially replaced traditional narratives of professional identity long before the arrival of large-scale generative AI. Read against the longue-durée arc, these cohorts are not decadent but cultural prototypes: early inhabitants of a society attempting to reconstruct meaning after necessity loses its explanatory force.

The dissertation is careful in its claim about seriousness. It does not argue that seriousness disappears, but that seriousness loses its monopoly on legitimacy: aesthetic participation becomes socially central, and performance replaces obligation as the dominant mode of organizing effort. This descriptive reframing guards the thesis against reactionary readings of post-necessity culture as civilizational decline.

Methodologically, the project synthesizes philosophy of play, media theory, sociology of labor, platform studies, game studies, generational sociology, and contemporary AI discourse. Drawing on Jane McGonigal, James P. Carse, Byung-Chul Han, Johan Huizinga, Bernard Suits, Charles Taylor, Jean Baudrillard, and Shoshana Zuboff, the dissertation situates AI within a longer historical migration of meaning away from necessity and toward aestheticized participation.

The dissertation closes on the thesis its arc is built to defend: AI does not end labor. It ends necessity as labor’s primary justification. Post-AI culture therefore reconstructs meaning through aestheticized forms of voluntary struggle administered by computational systems that blur the boundary between play, identity, and work — and the defining political question of the 21st century is no longer what humans must do, but which forms of performed struggle remain genuinely sovereign.