Hegemony, in the Laclau-Mouffe framework developed in Hegemony and Socialist Strategy (1985), is the central mechanism by which power sustains itself in modern societies. It operates not through coercion but through the construction of a common sense that renders alternatives unthinkable. The hegemonic operation is not conspiratorial — it does not require bad faith on the part of actors who benefit from it. It works at the pre-theoretical level, shaping perception before conscious deliberation begins. The factory owner who believed industrial capitalism was natural was not lying; he was inhabiting a hegemonic common sense. The danger lies precisely in its invisibility: positions presented as rational outcomes of balanced deliberation are the most effective hegemonic achievements because they appear to be no position at all.
There is a parallel reading that begins not with discourse but with the substrate that makes hegemonic operations possible in the AI era. The servers humming in data centers, the fiber optic cables crossing ocean floors, the rare earth minerals extracted from specific geographic locations — these material conditions don't merely enable hegemonic discourse; they predetermine which hegemonies are even possible. When we examine who controls the computational infrastructure, who has access to the training data, who can afford the electricity bills for large model training, we find that the apparent "consent" to AI development is structured by a prior exclusion: most of humanity never had the material capacity to meaningfully dissent. The hegemonic operation Laclau-Mouffe describe assumes a field of contestation where different articulations compete. But what if the field itself is pre-structured by material scarcity?
The lived experience of those whose labor trains these systems — the content moderators in Kenya, the data labelers in Venezuela, the gig workers whose output becomes training data — reveals a different hegemony than the one visible in discourse analysis. For them, the "common sense" that AI represents progress is not a naturalized political position but a material compulsion. They engage with AI systems not because alternative futures have been rendered unthinkable but because alternative presents are economically impossible. The hegemonic operation here works through dependency chains and wage relations, not through the construction of meaning. When the choice is between labeling images for $2 an hour or having no income at all, the "consent" to AI development is extracted through economic coercion wearing the mask of market rationality. This reading suggests that focusing on hegemony as discursive operation may itself be hegemonic — directing attention toward battles over meaning while the material conditions determining outcomes remain uncontested.
The The Orange Pill's commitment to balance — holding exhilaration and grief in synthesis, arriving at the Beaver as the morally serious position — performs a hegemonic operation with genuine sincerity. The synthesis presents itself as the transcendence of conflict when, in Mouffe's analysis, it is the resolution of conflict in favor of the builder's position, presented as the position any reasonable person would arrive at. The feeling of earned balance is precisely the marker of hegemonic success.
Hegemony operates through absorption rather than suppression. When Han's critique of the smooth society is engaged seriously, acknowledged with care, and then incorporated into a framework that leaves the builder's fundamental trajectory unchallenged, the critique has been domesticated. Han's position is heard, honored, and neutralized through incorporation into a discourse that renders it a qualification on the dominant arrangement rather than a challenge to it.
The concept illuminates the specifically contemporary form of AI-industry hegemony: the assumption that capability expansion is inherently valuable, that engagement is the rational response to new tools, that refusal is irrelevance, and that the role of institutional structures is to direct the flow of capability toward beneficial outcomes. None of these assumptions are false. All of them are contestable. Their hegemonic character lies in how they structure the field of thinkable alternatives.
The AIgemony concept — developed by scholars applying Laclau-Mouffe to AI governance — names the specific way AI development concentrates power while presenting that concentration as neutral technical progress. The concentration is real; its presentation as neutral is the hegemonic operation.
The term originates with Antonio Gramsci's prison writings on how the ruling class maintained its dominance through consent rather than coercion alone. Laclau and Mouffe radicalized the concept by severing it from class essentialism, arguing that hegemony is the mechanism through which any political order is constructed — not merely bourgeois class rule — and that the struggle for hegemony is permanent and constitutive of political life itself.
Consent, not coercion. Hegemony produces assent by rendering alternatives unthinkable, not by suppressing them through force.
Common sense is political. The pre-theoretical assumptions structuring perception are the deepest site of hegemonic power.
Absorption is the characteristic move. Opposing positions are incorporated and neutralized rather than excluded.
Naturalization is hegemony's signature. When political arrangements appear as natural facts, the operation has succeeded.
The tension between these readings reveals different analytical cuts through the same phenomenon, each illuminating essential dynamics. When we ask "how does AI development maintain legitimacy among knowledge workers and policymakers?" the Laclau-Mouffe framework proves indispensable (90% explanatory power) — the absorption of critique into synthesis, the naturalization of capability expansion as progress, the rendering of alternatives as unreasonable rather than impossible. These discursive operations genuinely structure how the professional classes encounter and engage with AI development. The hegemonic construction of "balance" as the mature position works precisely as described.
Yet when we shift the question to "why does AI development proceed despite widespread unease about its implications?" the material reading dominates (80% explanatory power). The concentration of computational resources, the economics of model training, the dependency of institutions on cloud infrastructure — these create structural imperatives that operate regardless of discursive position. A university may develop sophisticated critiques of AI hegemony while simultaneously depending on Google Workspace and Microsoft Azure. The material substrate doesn't negate the discursive analysis; it reveals its scope conditions.
The synthetic frame emerges when we recognize hegemony as operating simultaneously through meaning and material, with different mechanisms predominating at different social locations. For Silicon Valley engineers and policy intellectuals, the discursive absorption of critique into "thoughtful building" is the primary hegemonic vector. For Global South data workers, material dependency is the controlling dynamic. For most users, both operate in tandem — the naturalization of AI as inevitable progress (discursive) combines with the gradual foreclosure of non-AI alternatives in essential services (material). The complete hegemonic operation requires both the construction of consent and the construction of the conditions that make consent appear freely given. Understanding AI hegemony means tracking both operations without collapsing one into the other.