Vigitalization: The Sociotechnical Configuration of Structural Surveillance and Algorithmic Governance in the Digital Anthropocene

1. Introduction

From automated triaging of social welfare to predictive policing systems and ubiquitous algorithmic credit scoring, contemporary individuals rarely interact with the State or the market without first going through the silent arbitration of a computational gatekeeper. These occurrences are not isolated technological disruptions; rather, they signal a deep reconfiguration of power. This conceptual paper advances and problematizes the analytical category of vigitalization to critically scrutinize the autonomization of algorithmic governance within contemporary digital societies (Ferreira & Serpa, 2018). Rooted in relational sociology, this category designates dynamic, overarching relational processes rather than static social entities, acknowledging that social entities (being relationally constituted) represent specific, situated actualizations of broader processual variations (Pires, 2014). Conceptualized as a co-constitutive sociotechnical configuration, vigitalization assumes the logical-cognitive cores of various sociological theories as complementary, establishing an interdependent space where the technical and the social mutually construct and reconfigure. This decisively rejects theoretical reductionism that treats the phenomenon as a mere chronological contingency or a semantic juxtaposition between digital technologies and social surveillance. Instead, through the situated practices of human and non-human actors, vigitalization materializes a deep structural and ontological mutation in the matrix of social action. It articulates the current paradigm of technobureaucratic rationalization, wherein ubiquitous digital monitoring ceases to function merely as an external disciplinary device and seamlessly converts into the epistemic and existential infrastructure of social life.

To establish analytical precision, vigitalization must be rigorously distinguished from both digitalization (the instrumental conversion of analog processes and artifacts into digital formats) and datafication (the coding of complex social realities into computable numerical representations) (Couldry & Hepp, 2017; Mejias & Couldry, 2024). While the latter two serve as technical prerequisites, the sociotechnical configuration of vigitalization drives the autonomization of algorithmic decision-making, which actively colonizes institutional architecture, knowledge production, and individual subjectivity. Under this sociotechnical regime, data-mediated surveillance transcends its status as a technological byproduct to become the inescapable condition of possibility, coordination, and legibility for both individuals and institutions.

Historically, various sociological frameworks have approached technology and surveillance through atomized analytical domains – an epistemic fragmentation that precludes the apprehension of their systemic and recursive convergence. While foundational concepts such as Surveillance Capitalism (Lipartito, 2025; Zuboff, 2019) or Data Colonialism (Couldry & Mejias, 2019) robustly address the economic extraction and geopolitical asymmetries of digital data, they often isolate these dimensions from the broader fusion of digital infrastructures with human existence. Consequently, ubiquitous digital monitoring is frequently marginalized as an epiphenomenon or a contingent externality of technical innovation. Vigitalization bridges this theoretical gap by capturing the ontological fusion of these spheres, identifying surveillance not merely as an economic business model or a State apparatus, but as the foundational core, material imperative, and structuring principle of contemporary sociotechnical rationality.

Introducing such a concept needs deep epistemological vigilance to mitigate three primary methodological risks: tautology and analytical circularity, the illusion of reification, and functionalist closure. To avoid circularity – the axiomatic assumption that a category self-referentially explains the phenomenon it aims to clarify –, the concept is unpacked into its constituent analytical dimensions, distinguishing discrete categories of social phenomena operating within empirical configurations (Gerring, 2012; Goertz, 2020; Pires, 2014; Turner, 1991). To circumvent reification, which erroneously ascribes ontological agency to a researcher’s abstraction, agency and its material effects are treated as stemming exclusively from socio-material interrelations between human actors and computational systems, rather than from a disembodied category (Bourdieu et al., 2021; Elias, 1978; Gillespie, 2010). Finally, to neutralize functionalist closure, vigitalization is deployed not as a rigid deterministic model, but as a sensitizing category (Blumer, 1954; Couldry & Hepp, 2017) designed to guide the sociological gaze toward latent social dynamics, normative tensions, and emergent meanings.

The heuristic potential of this analytical category unfolds across distinct critical axes, ranging from the challenges of sociotechnical recursivity to the performative nature of subjective modulation. This methodological stance explicitly questions the aporias of holistic determinism and individualistic reductionism, postulating a dual analytical dynamic: upward causality (effects of emergence and aggregation from situated interaction) and downward causality (positional and normative conditioning from institutional systematicity). Consequently, macro-sociological phenomena are conceptualized not as mere aggregated sums of micro and meso actions, but as dependent on how these actions systemically combine with the structural residues of previous macro-outcomes (Pires, 2014). Following this logic, our analysis operationalizes a tri-level matrix that serves as the structural roadmap for this article:

- Micro level of interaction (Pires, 2014): Addressed primarily in Section 2.1, where we examine the intersubjective space, the metamorphosis of the panoptic device, and how macro-structural orientations are dynamically internalized through subjective modulation.

- Meso level of grouping (Pires, 2014): Explored in Section 2.2, which dissects organizational coordination and illustrates how systemic imperatives are translated into explicit sociotechnical governance mechanisms via algocratic bureaucracies.

- Macro level of relations of systematicity (Pires, 2014): Delineated initially in Section 2.3 through the global political economy of digital extractivism, and culminating in Section 3, where algorithmic governance is positioned as the primary matrix managing the planetary macro-risks of the ASAM (Agency-Structure-Algorithm-Matter) Nexus (Environment, Global Health, and Global Change) within the Digital Anthropocene.

By formalizing the vigitalization category, this article presents an integrated theoretical architecture that builds upon established literature regarding digital control and subjective subsumption. It demonstrates how the uncritical naturalization of digitalization co-constitutes a pervasive network of invisible, automated control grounded in compulsive connectivity. Ultimately, it substantiates a sociotechnical regime of algorithmic governance structured around a self-reproducing, recursive axiom: digitizing to monitor and monitoring to digitize (Serpa, 2025).

2. Contours of Vigitalization

To establish vigitalization as a substantive analytical category endowed with robust heuristic capacity, its ontological and conceptual contours must be rigorously outlined (Gillespie, 2010). This delimitation acknowledges the epistemic complementarity of sociological paradigms analyzing technology, power, surveillance, and institutional control. Mobilizing an analytical category entails a specific vision of the mode of existence of the phenomenon under investigation. Vigitalization rests upon a relational and processual ontology – a hybrid, socio-material reality produced by, and simultaneously producing, heterogeneous networks between human actors and non-human computational agents that are invariably contextual, situated, and materially anchored (Hayles, 2017).

2.1. From Discipline to Vigitalization

The autonomization of algorithmic governance—which progressively colonizes knowledge production, bureaucratic architectures, and individual subjectivity—is fundamentally inseparable from the structural reconfiguration of surveillance devices within contemporary digital societies. The historical and epistemic metamorphosis from the disciplinary panopticon (Bentham, 1791; Foucault, 1975) toward digital post-panoptic societies (Bauman & Lyon, 2013; Deleuze, 1990; Han, 2022; Zuboff, 2019) is deeply intertwined with the radical datafication of social life. Operating as a macro-sociotechnical category, vigitalization enables precise sociological analysis of this transition while systematically avoiding technological determinism. A clear conceptual hierarchy is essential here: the digital panopticon functions as the underlying infrastructural architecture of monitoring, whereas vigitalization constitutes the overarching ontological and sociotechnical configuration that emerges when this digital infrastructure fuses inextricably with State bureaucracy and social governance.

This analytical category maps the transition from a coercive, spatially enclosed disciplinary configuration aimed at the physical normalization of bodies to a fluid, hyperconnected, and productive digital regime. Here, surveillance promotes individual self-visibility to facilitate the continuous extraction of behavioral value, ultimately becoming an indispensable prerequisite for social, civic, and economic participation (Han, 2023; Lipartito, 2025). Table 1 systematizes this structural mutation.

The digital panopticon’s primary contribution to vigitalization lies in dissolving anthropomorphic authority, as traditional human bureaucratic judgment is dematerialized and superseded by massive, energy-intensive predictive models (Vicente, 2023). These autonomous computational infrastructures secure a monopoly on prediction, transforming raw human experience into computable metrics and establishing predictive epistemology as the paramount form of actionable knowledge. By establishing that only datafied realities are legible to governing bodies, this epistemic colonization dictates a radical shift: the production of societal knowledge no longer resides within democratic public spheres and is, instead, heavily monopolized by private technological corporations. In this context vigitalization replaces classical administrative law and democratic scrutiny with an automated, stochastic bureaucracy whose internal weighting logics remain opaque black boxes (Pasquale, 2015; Volkov, 2025).

When these opaque architectures are deployed not merely for commercial extraction (Zuboff, 2019) but for public administration, algorithmic governance inevitably inflicts algorithmic symbolic violence (Serpa, 2025). To ground this structural mutation empirically, one can observe recent implementations of automated welfare fraud detection systems (Carney, 2019; van Bekkum & Zuiderveen Borgesius, 2021). These predictive infrastructures operationalize digital vigilance by converting structurally vulnerable demographics into default actuarial risk profiles, penalizing citizens under the guise of mathematical optimization. However, the subsequent legal and social collapse of these systems highlights a critical theoretical caveat: this algorithmic leviathan is neither omnipotent nor flawless. Highly prone to technical failures, structural training data biases, and algorithmic hallucinations, these systems generate constant noise in the machine (Noble, 2018). Acknowledging this fallibility is crucial to circumventing functionalist closure, as systemic breakdowns open necessary spaces for legal and regulatory contestation, civic pushback, and active human resistance within the datafied welfare state (Dencik & Kaun, 2020; Yeung, 2018).

At the level of subjective colonization, aligning with a relational ontology requires recognizing that this subsumption is not passive victimization. Internalization of continuous optimization and self-tracking involves utilitarian negotiation. The digital subject actively surrenders behavioral data and privacy in exchange for logistical convenience, affective validation, and socio-economic participation (Han, 2023; Lyon, 2018). By inscribing subjectivity directly into the control apparatus, surveillance ceases to be an external imposition or punishment, actively converting control into desire. This transactional surrender creates a powerful mechanism of systemic entrenchment that complicates traditional models of resistance, transforming individuals into entrepreneurs of the self who self-manage within parameters dictated by algorithmic infrastructure.

Ultimately, vigitalization represents a profound ontological fusion, wherein digitalization becomes the very infrastructure of supervision, and surveillance is the primary modality of digital existence. This condition highlights a severe technical-ontological mismatch – an irreducible tension between the nature of human social existence (which is complex, contingent, situated, plural, performative, and fluid) and the formal nature of digital systems (which are discrete, vectorial, standardized, quantifiable, categorized, and probabilistic). It is precisely this friction that forces the individual’s continuous subjective modulation. Operating within these cognitive assemblages (Hayles, 2017), contemporary societies demand that human agency be recognized not as a vanished trait, but as an emergent property dynamically produced by the friction, systemic technical fallibilities, and continuous reciprocal feedback loops binding human actors to non-human algorithmic gatekeepers.

2.2. Algocratic Bureaucracy and the Erosion of Public Deliberation

At the meso level of organizational coordination, the sociotechnical configuration of vigitalization materializes through algocracy, a governance regime where authority, resource distribution, and administrative decision-making are structurally mediated and executed by computational algorithms (Aneesh, 2006, 2009; Danaher, 2016; Vicente, 2023). Algocracy provides the operative rationality and institutional legitimacy required to execute bureaucratic governance in a closed circuit progressively displacing human deliberation, democratic scrutiny, and the legal right to contradiction (Pasquale, 2015; Rouvroy & Berns, 2013).

While traditional Weberian bureaucracy operates through public rules, procedural documentation, and administrative accountability grounded in clear, auditable causality and explicit normative scripts, algocratic bureaucracy replaces the legal-rational argument with a pervasive regime of algorithmic probability. Given that social complexity must be rendered legible to machine learning architectures, lived human experience is flattened into standardized numerical vectors and actuarial risk scores (Bucher, 2018; Pasquale, 2015). Political questions concerning social equity, distributive justice, and fundamental rights are thus epistemically depoliticized and reframed as technical problems of statistical optimization and operational efficiency (Ricaurte, 2019). Table 2 outlines the structural axes through which this transformation operates.

The consolidation of algocracy hinges on the naturalization of algorithmic culture, where citizens progressively internalize metric sorting and automated profiling in everyday interactions – a dynamic increasingly visible in the automated evaluation of higher education (Santos & Serpa, 2023) – subsequently accepting these mechanisms within the public sphere as objective and inevitable. This dynamic operates explicitly through algorithmic symbolic violence (Serpa, 2025): a subtle, misrecognized form of domination wherein historical class, racial, or gender disparities are encoded directly into predictive models actively reproducing structural inequalities across vital sectors such as education (García-Alonso, 2026), under the guise of mathematical neutrality. As Airoldi (2022) observes through the concept of machine habitus, individuals adapt their dispositions, expectations, and conduct to mirror the operational imperatives of computational gatekeepers, thereby incorporating automated evaluation criteria into their subjective structures.

The apex of algocratic autonomization takes place when automated systems shift from passive decision-support tools to formative, recursive architectures. By establishing who qualifies for welfare support, who poses an actuarial recidivism risk, or how public resources are deployed, the algorithmic model actively produces the social reality it claims to merely observe. This generates a closed, self-fulfilling validation loop: an algorithm predicts an elevated risk in a marginalized population, State agencies intervene based solely on that prediction, and the resulting administrative records generate new data points that confirm the original statistical assumption (Alkhatib & Bernstein, 2019; Volkov, 2025). This technocratic enclosure is further intensified within digital organizational cultures and platformized labor markets, where everyday management practices are dynamically remade through pervasive tracking and subliminal choice architectures, turning the working subject into a mere node in an automated feedback loop.

This self-reinforcing dynamic creates a void of ethical and legal imputation. Because the State becomes structurally dependent on private technological ecosystems – relying on proprietary cloud services, APIs (Application Programming Interfaces), and closed models – it enters into an asymmetric interdependence where it explicitly surrenders both its executive and cognitive sovereignty (Pohle & Thiel, 2020; Vicente, 2023). The citizen’s legal right to contradiction is entirely nullified: facing an algorithmic injustice, the individual no longer appeals to an accountable human bureaucrat, but is instead confronted by an opaque, unauditable computational verdict. Public administrators defer responsibility to the system’s neutral evidence; software developers cite the emergent complexity of deep-learning models; and tech corporations invoke commercial trade secrets to block external audits (Pasquale, 2015). The formal safeguard of human-in-the-loop oversight becomes largely performative, serving more as a liability sink for corporate platforms than as a mechanism for democratic accountability, as human caseworkers face metric pressure, cognitive overload, and strong institutional disincentives to contest automated recommendations.

Nevertheless, following a relational sociological perspective, this algocratic architecture is neither omniscient nor totally sealed. The persistent gap between fluid social life and discrete statistical categories produces constant systemic friction, misclassifications, and software failures at the street level of administrative execution (Alkhatib & Bernstein, 2019). When exposed, these systemic breakdowns demystify the guise of computational infallibility, creating vital institutional ruptures for civic counter-power, strategic litigation, and administrative pushback. By standardizing and internalizing behavioral control across everyday bureaucracy, algocracy secures the ideological and operational foundation needed to scale automated governance outward – setting the stage for managing planetary macro-risks within the Digital Anthropocene.

2.3. Global Regime of Digital Extractivism and State Complicity

The consolidation of vigitalization is inextricably linked to the emergence of a global regime of digital extractivism. Rather than an immaterial evolution of services, digital extractivism operates as a structural regime of accumulation in which raw human experience is systematically expropriated, converted into behavioral data, and processed through proprietary algorithmic platforms to coordinate social, economic, and political life on a planetary scale (Couldry & Mejias, 2019; Crawford, 2021; Srnicek, 2017; Zuboff, 2019).

Analyzing this extractive architecture requires a multidimensional framework that unveils its mechanisms of reproduction across four interconnected planes: (i) the epistemological-ideological dimension, which frames human activity as terra nullius – an unowned resource awaiting corporate valorization – and imposes an epistemic homogenization driven by a Eurocentric and technocentric rationality, shielded by a narrative of inevitability that frames data extraction as a digital civilizing mission; (ii) the material-ecological dimension, which maps the planetary footprint of hyperscale computing; (iii) the economic-accumulation dimension, which organizes behavioral futures markets; and (iv) the sociopolitical dimension, which structures global asymmetries of power and labor (Couldry & Mejias, 2019; Crawford, 2021; Mejias & Couldry, 2024; Mezzadra & Neilson, 2019). Table 3 systematizes these analytical vectors.

Crucially, deconstructing the myth of digital immateriality requires grounding this extractive regime in its physical and labor realities. Hyperscale computation and large language models depend on ecologically predatory practices: intensive water consumption for cooling data centers, massive energy expenditures, and the continuous mining of critical minerals (such as lithium, cobalt, and rare earths), which disproportionately ravages peripheral territories in the Global South (Crawford, 2021; Cubitt, 2017; Parikka, 2015). Concurrently, this computational infrastructure relies on an asymmetrical global division of digital labor. The frictionless interfaces experienced in affluent societies are heavily subsidized by invisibilized ghost work, in which precarious workers in developing economies perform traumatic content moderation and repetitive data labeling to train predictive systems patented in the Global North (Gray & Suri, 2019). Consequently, peripheral and semi-peripheral nations are relegated to the role of data-extractive States (Kilic, 2025), subjected to cultural homogenization through the imposition of algorithmic models that systematically ignore local specificities and histories, thus entrenching a profound neocolonial dependence (Mejias & Couldry, 2024; Ricaurte, 2019).

Rather than acting as passive casualties of transnational capital, sovereign States operate with ambivalence within this extractive landscape. As detailed in Table 4, the State simultaneously functions as an enabler (deregulating data flows and granting resource concessions), a client-consumer (procuring proprietary cloud environments for basic administration), a surveillance actor (deploying predictive policing and biometric sorting to maintain internal order), and a geopolitical actor (leveraging domestic tech monopolies for international dominance) (Bradford, 2023; Mazzucato, 2018; Pohle & Thiel, 2020).

In sum, the autonomization of algorithmic governance is not only the erosion of public power by private oligopolies, but also a relational reconfiguration of sovereignty itself. Modern State institutions actively finance and legitimize digital extractivism because it provides granular instruments for the preemptive management of populations. Yet, by executing core administrative functions through proprietary transnational infrastructures, the State deliberately cedes its political sovereignty, effectively transforming participatory democracy into a regime of technical and predictive governance, often facilitated by novel corporate actors bypassing traditional privacy frameworks (Malikova et al., 2026). While this structural entanglement severely compromises technological sovereignty, it is not a closed, monolithic apparatus; rather, it continuously generates friction, regulatory contestation, and emerging demands for digital self-determination across competing geopolitical blocks (Bradford, 2023; Pohle & Thiel, 2020).

3. Global Governance in the Digital Anthropocene of the ASAM Nexus

In the contemporary Digital Anthropocene, the society of individuals (Elias, 1993) confronts composite, cumulative, planetary-scale ruptures and manufactured uncertainties that profoundly challenge traditional analog and linear models of governance. The Digital Anthropocene is more than the chronological coexistence of ecological, sanitary, and technological crises; rather, it forms a global sociotechnical regime wherein the monitoring, modeling, and direct intervention into the biosphere and global health become structurally dependent on hyperscale algorithmic and planetary-scale computational infrastructures (Bratton, 2016; Chakrabarty, 2021; Crawford, 2021; Crawford & Joler, 2018; Hui, 2016; Parikka, 2015; Stiegler, 2018).

Global governance in the Digital Anthropocene relies upon a radical reconfiguration of political power, epistemic authority, and the management of planetary commons. The convergence between the collapse of Earth’s biophysical equilibria and the omnipresence of large-scale computational infrastructures is not a mere technical shift in policy instruments. Rather, it transforms the very ontological nature of sovereignty, actively replacing classical political deliberation with automated regimes of probabilistic calculation, preemptive action, and systemic biovigilance. Traditional multilateral political deliberation is progressively dismantled and reconfigured by an algocratic logic grounded in predictive calculation, continuous datafication, and real-time intervention (Bradford, 2023; Bratton, 2016; Chakrabarty, 2021; Crawford, 2021; Gabrys, 2024; Latour, 2017; Mejias & Couldry, 2024; Parikka, 2015; Ricaurte, 2019; Stiegler, 2018).

These global existential crises do not emerge in isolation; conversely, they are profoundly interconnected. To understand their governance, we must analyze them through the theoretical lens of the ASAM Nexus – a fundamental sociotechnical matrix that maps how human action (Agency), institutional architectures (Structure), computational processing (Algorithm), and physical infrastructures (Matter) co-constitute contemporary reality. In the face of impending high-intensity ecological and epidemiological collapses, State institutions and international corporations mobilize the ASAM Nexus to govern an integrated web of critical interdependencies across three core empirical domains: the Environment, Global Health, and Global Change (Bratton, 2016; Chakrabarty, 2021; Crawford, 2021; Cubitt, 2017; Fassin, 2012; Floridi, 2023; Fraser, 2019; Lupton, 2018; Parikka, 2015; Whitmee et al., 2015).

The relationship between vigitalization and these interconnected domains transcends sheer technical contingency; it embodies a strict structural dependency and an imperative biopolitical need. The crises involved, ranging from extreme epidemiological volatility and critical shortages of thermodynamic resources to severe climatic instability, operate at a threshold of velocity and non-linear complexity that makes classical mechanisms of bureaucratic management entirely obsolete. Effectively governing these challenges demands building broad, predictive, real-time systemic legibility over ecosystem transformations and population dynamics within contemporary risk societies (Beck, 1992). Within this epistemic shift, the computational modeling of Anthropocene crises turns the biosphere itself into a self-validating justification for the naturalization and rapid expansion of ubiquitous planetary sensing infrastructures (Gabrys, 2024). This dynamic perfectly operationalizes the recursive logic of vigitalization at a planetary scale: the Earth is digitized primarily to be monitored, and continuous monitoring demands ever-expanding digitalization. Table 5 illustrates the structural permeation of vigitalization into these domains.

Within the Digital Anthropocene, vigitalization does not merely describe the reality-problems intrinsic to these crises; it structurally reconfigures the very definition of problems and their fundamental ontology through ontological datafication. The non-linear complexity of ecosystems, integrated epidemiological dynamics (One Health), and severe humanitarian crises are systematically converted into numerical vectors, market metrics, digital twins, and statistical probabilities (Gabrys, 2024). This approach reveals that algorithmic calculation strictly prioritizes what is readily measurable (CO₂ quantities, contagion rates, ESG scores), marginalizing and erasing ancestral knowledge, territorial specificities, and local ecological memories. Global governance processes show that this massive simplification depoliticizes the climate crisis, effectively imposing technocratic solutions that turn ecological repair into a simple problem of financial transaction and mathematical optimization (Floridi, 2023).

Crucially, this approach also dismantles the pervasive illusion of dematerialization, highlighting a severe material paradox inherent to the ‘Matter’ dimension of the ASAM Nexus. Hyperscale computing, structurally inherent to complex climate models, sensor networks, and AI supercomputers, consumes massive amounts of critical resources (drinking water for cooling, electricity, and the aggressive mining of lithium and rare earth minerals), exerting severe, direct physical pressure on the very biomes it supposedly monitors and protects. Furthermore, because the most advanced predictive climate models remain the exclusive property of private technological oligopolies (Big Tech), sovereign States are effectively stripped of the cognitive capacity to independently evaluate their own natural heritage. This extreme oligopolization consolidates a transnational corporate algocracy, hollowing out ecological debate and political dissidence, and reducing discourse regarding planetary survival to the cold, automated metrics of macro-structural risk administration. This profound epistemic crisis within the Digital Anthropocene entrenches a paradigm wherein the algorithmic filtering of ecological knowledge confines climate deliberation to preemptive risk-administration metrics (Vidal, 2026).

The vigitalization of Global Health seamlessly articulates computational biology, real-time genomic sequencing, and transborder epidemiological surveillance. It evidences a definitive transition from classical, community-based public health models to permanent regimes of biovigilance and continuous biometric tracking. Under the unquestionable imperative of pandemic containment and One Health, states of sanitary exception and the real-time algorithmic control of populations become entirely normalized. Under this regime, the continuous computational monitoring of vulnerable populations effectively decomposes individual autonomy into recursive biopolitical feedback loops (Lam et al., 2025). In this context, surveillance is no longer only external, such as a camera observing public space; rather, it becomes intimately subcutaneous and metabolic. Through smartwatches, biometric sequencing, and digital health passports, the human body itself is transformed into a continuous sensor within a planetary network, feeding predictive models with the intimate biological rhythms of citizens.

Concurrently, the ability to process massive genomic datasets and model novel pharmaceuticals via AI is intensely concentrated within exclusive partnerships between Big Pharma and Big Tech. These structural dynamics reproduce significant global inequalities regarding access to therapies and vaccines, effectively transforming global health into a closed, private asset (a pharmacological black box). These mathematical and computational predictive decision processes focus exclusively on viral propagation and quantifiable biological parameters, deliberately obscuring the deep social and structural determinants of disease (e.g., poverty, lack of basic sanitation, precarious working conditions, and industrial pollution).

Simultaneously, the vigitalization of Global Change focuses heavily on the automated allocation of scarce resources, transnational food security, and the management of massive flows of climate refugees and migrants. Human mobility, whether driven by severe droughts, rising sea levels, or ecological conflicts, is no longer managed under the primacy of fundamental human rights or international asylum law. Instead, it transitions from a reactive model based on normative consensus to a preemptive model of continuous systemic risk mitigation. It is converted into techno-military operations defined by predictive risk triage, automated border control, and the aggressive securitization of crises, which effectively hollows out the fundamental right of asylum. Algorithmic systems that allocate food support or humanitarian aid based on historical data series inevitably penalize historically marginalized regions, thereby crystallizing and hardening geopolitical asymmetries under an impenetrable guise of technical neutrality. Countries from the Global South function strictly as primary extraction sources of raw ecological data, biometrics, and critical mineral resources, while normative decisions, algorithmic systems, and predictive AI models remain heavily concentrated and fiercely patented within the Global North (Bradford, 2023; Mejias & Couldry, 2024).

The ultimate ideological reasoning supporting this vast sociotechnical machinery rests on the dogmatic premise that social cohesion, citizenship, and the ecological sustainability of contemporary civilization can only be comprehensively safeguarded through the total cybernetic control of all societal and biogeophysical processes. Under this imperative disposition, vigitalization undergoes a process of normalization and ideological inversion. Blind compliance with continuous digital surveillance and the predatory harvesting of data is no longer framed or perceived as an intolerable loss of individual privacy or civil liberties; instead, it is radically reconfigured and celebrated as a supreme act of civic responsibility, biopolitical virtue, and global ecological solidarity. This ideological inversion turns the concept of digitainability into a strict imperative for quantified technical compliance, a trajectory precisely anticipated by Sá et al. (2021) in their analysis of post-pandemic digital competencies for a sustainable society. In result, absolute biopolitical control is rebranded and seamlessly naturalized as an indisputable technical and scientific need required for preserving life in the Digital Anthropocene.

Nevertheless, adhering to a relational ontology requires acknowledging that this planetary sociotechnical enclosure is not absolute. The vigitalization of the ASAM Nexus continuously generates severe systemic frictions. In the Global South, grassroots movements increasingly resist ecological data colonialism by asserting indigenous data sovereignty and exposing the material devastation of hyperscale computing infrastructures. Simultaneously, the inherent technical fallibilities of predictive climate and epidemiological models, displayed in algorithmic hallucinations and inaccurate resource triage, provide critical openings for civil society to challenge the assumed infallibility of the digital leviathan. These instances of systemic noise and active civic subversion demonstrate that global governance in the Digital Anthropocene remains fiercely contested terrain, firmly rejecting any functionalist conclusion that democratic dissent has been completely neutralized.

4. Conclusion

The formalization of the substantive and multidimensional sociotechnical category of vigitalization provides sociology with a robust heuristic and critical instrument, specifically designed to transcend the severe limitations of dichotomous perspectives that artificially sever technological development from the structural dynamics of social control (Blumer, 1954; Serpa, 2025). By unequivocally postulating that the technical digitalization of processes is not an autonomous or axiologically neutral precursor to surveillance, but, rather, that both operate as co-dependent, inseparable, and co-constitutive dimensions of the same sociotechnical paradigm, this analytical framework endows sociology with the precise conceptual apparatus required to deconstruct contemporary digital configurations. It forcefully clarifies their deep imbrication with the autonomization of algorithmic governance, particularly within a context defined by the exponential proliferation of datafication across all spheres of contemporary social life (Couldry & Hepp, 2017).

Vigitalization critically unmasks the invisible regimes sustained by the inescapable recursive logic: digitizing to monitor and monitoring to digitize. Mapping this complex ecosystem does not conclude the academic debate; rather, it inaugurates a comprehensive research program essential for the sociology of artificial intelligence and social sustainability (Serpa et al., 2025), structured around five critical analytical axes:

• Axis 1: Algocratic Epistemology and Predictive Authority. This axis focuses on the radical reconfiguration of truth production, rationality, and public legitimacy. It needs analyzing how statistical correlation replaces political deliberation and legal causality. Key lines of inquiry include the ontological datafication of social and biophysical processes, the fetishization of metrics, technocratic solutionism, and the epistemic closure enforced by closed proprietary models and stochastic triage regimes (Bucher, 2018; Pasquale, 2015; Ricaurte, 2019).
• Axis 2: Political Economy and Infrastructural Subordination. This axis examines the material power asymmetries resulting from the absolute concentration of computational power within transnational oligopolies (Big Tech) and the resulting structural dependence of sovereign States. Key lines of inquiry include the privatization of cognitive infrastructures, the monopolization of cloud computing, code is law regimes that covertly transmute software parameters into compulsory legal norms, and the systemic private appropriation of informational commons (Mazzucato, 2018; Mejias & Couldry, 2024; Srnicek, 2017).
• Axis 3: Actuarial Governmentality and Pre-emptive Securitization. This axis critically analyzes the shift from universal, rights-based public policies to actuarial models defined by profiling, continuous biovigilance, and the preemptive mitigation of statistical risk. Key lines of inquiry include the technocratic securitization of sanitary, climate, and migratory emergencies; the deployment of predictive feedback loops; ubiquitous biometrics; and the normalization of automated states of exception (Deleuze, 1990).
• Axis 4: Political Ecology of Computing. This axis interrogates the highly disruptive environmental impacts of high-tech industries, emphasizing the violent tension between the hegemonic rhetoric of digital dematerialization and the tangible digital economy’s ecological footprint. Key lines of inquiry include the massive energy and water footprints of hyperscale data centers, the predatory extraction of critical minerals (e.g., lithium, cobalt, rare earths) in the Global South, data colonialism, and the creation of digital ecological sacrifice zones (Crawford, 2021; Gabrys, 2024).
• Axis 5: Institutional Agency, Subjectivation, and Civic Counter-Power. This axis aims to analyze how State actors navigate decision-making – emphasizing the vital role of professional discretion and ethical judgment exercised by public servants –, how individuals internalize normative codes under predictive systems, and how civil society can architect resistance against technological domination (Airoldi, 2022; Han, 2022; Wood et al., 2019).

Crucially, countering the planetary scale of vigitalization requires moving beyond individual pedagogical solutions. Resistance must be scaled to the macro-sociological level, encompassing the architectural design of transnational regulatory blockades, the establishment of civic data trusts, the active promotion of open-source technologies, and algorithmic activism. In this context, cultivating critical digital literacy must be conceptualized as a necessary immune competence – a structural vaccine against systemic algorithmic numbing and predatory data harvesting.

Ultimately, mapping the contours of vigitalization is not solely an exercise in understanding contemporary bureaucratic control; it is an urgent theoretical necessity for confronting the existential crises of the Digital Anthropocene. As algorithmic governance increasingly monopolizes responding to the integrated challenges of the Environment, Global Health, and Global Change, the survival of democratic agency depends entirely on our capacity to unveil the black boxes of planetary management. In sum, the conceptual architecture of vigitalization, operationalized through the ASAM Nexus forged herein, offers the critical sociotechnical reading grid required to successfully decipher, confront, and ultimately dismantle the invisible, automated, and deeply asymmetric regimes of power that dictate the future of human and planetary coexistence.