ABSTRACT: This briefing examines the emergence of what scholars are increasingly designating the "Proprietary Deep State"—a hybrid governance apparatus in which the operational capabilities of sovereign governments have been substantially delegated to, or supplanted by, a small number of technology-sector principals. Drawing on publicly verifiable data through February 2026, including Palantir Technologies’ expanding federal contract portfolio (now exceeding $970 million annually), Elon Musk’s exercise of quasi-governmental authority through the Department of Government Efficiency (DOGE), and Meta Platforms’ deployment of neural-interface wearables, the briefing argues that classical constitutional accountability mechanisms are structurally inadequate to govern an information environment in which the architecture of state power is privately owned. Bayesian game-theoretic modelling of two key scenarios—the “Blackout Gambit” and the “Algorithmic Coup”—suggests that rational state actors will systematically subsidise private infrastructure monopolies, thereby entrenching rather than correcting the accountability deficit. Oxfam’s January 2026 report documents that billionaires are now 4,000 times more likely to hold or directly influence political office than ordinary citizens, confirming that the Deep State has transitioned from bureaucratic concealment to overt plutocratic operation.
I. Introduction: From Shadow Bureaucracy to Proprietary Sovereignty
The concept of the "Deep State" has long denoted a permanent network of career officials, intelligence professionals, and military planners whose influence on policy outlasts any electoral cycle. In its classical formulation, the Deep State operated through institutional continuity, classified information, and bureaucratic inertia. What the 2025–2026 period reveals, however, is a qualitative transformation in this phenomenon: the functional capacities of the state—surveillance, infrastructure, information management, and increasingly, fiscal administration—have migrated into private corporate hands. Scholars at the 2026 Davos World Economic Forum were not wrong to speak of a "dangerous political inequality," but the structural depth of this shift has been under-theorised in public discourse.
This briefing advances three related claims. First, that the principal locus of state power in the United States has undergone partial privatisation, with Palantir Technologies, Elon Musk’s constellation of enterprises, and Meta Platforms constituting the primary beneficiaries. Second, that this privatisation has occurred under conditions of acute information asymmetry, producing the strategic dynamics modelled in Sections III and IV. Third, that the legal framework governing relations between sovereign states and these private actors is not merely strained but, in key respects, constitutively inadequate.
II. The Proprietary Deep State: Three Case Studies in Algorithmic Power
II.1 Palantir Technologies and the Proprietisation of Intelligence Infrastructure
No single development better illustrates the emergence of the Proprietary Deep State than the trajectory of Palantir Technologies. Co-founded in 2003 by Peter Thiel—with early CIA seed funding—the company has transformed from a niche data-analytics contractor into what FedSavvy Strategies (2025) aptly characterises as "a central orchestrator of enterprise AI ecosystems across the federal government." Federal contract revenue grew from $4.4 million in 2009 to $541 million in 2024; in 2025 alone, it nearly doubled to $970.5 million (USASpending.gov, 2025). The July 2025 award of a ten-year, $10 billion U.S. Army Enterprise Agreement—consolidating 75 prior contracts into a single framework—signals not episodic procurement but structural integration. Palantir is no longer a vendor; it is foundational infrastructure.
The governance implications are acute. Palantir’s Gotham and Foundry platforms now coordinate intelligence analysis, border enforcement, and battlefield decision-support across multiple agencies. In April 2025, Immigration and Customs Enforcement awarded the firm a $30 million no-bid contract to develop ImmigrationOS, a system designed to provide, in ICE’s own terminology, "near real-time visibility" on deportation targets and self-deportations. A subsequent contract with U.S. Citizenship and Immigration Services to develop the VOWS ("vetting of wedding-based schemes") platform extended Palantir’s reach further still. Concurrently, the company won a $1.3 billion Department of Defense contract through Project Maven—the AI-enabled targeting system—and a UK defence engagement worth £1.5 billion (signed September 2025).
The accountability problem is not simply one of scale but of structural opacity. When the algorithms used to classify threats, prioritise enforcement targets, and manage battlefield intelligence are proprietary, the traditional mechanisms of democratic oversight—legislative hearings, judicial review, inspector-general audits—encounter a fundamental epistemological limit. As one immigration advocate summarised in congressional testimony: "Palantir says it only builds the tools, not the rules. However, the architecture of an AI system—how it integrates data, flags individuals, and triggers action—is a form of policymaking." Palantir’s projected revenue for 2026 of $7.18–$7.20 billion, representing a 60 percent year-on-year increase, suggests that this structural dependency will deepen considerably before any regulatory correction becomes politically viable.
II.2 Elon Musk, DOGE, and the Weaponisation of Structural Dependency
If Palantir represents the slow accretion of private infrastructure at the margins of state capacity, Elon Musk’s role through the Department of Government Efficiency (DOGE) constitutes a more direct exercise of quasi-governmental authority. Established by executive order on January 20, 2025, DOGE was designated with sweeping access to federal systems under Musk’s de facto leadership. Within weeks, DOGE personnel had obtained access to Treasury payment systems managing trillions of dollars, to classified material at USAID, and to sensitive personnel records across dozens of agencies. Congressional legal analysts and University of North Carolina law professor Michael Gerhardt, among others, warned that many of these actions lacked constitutional authorisation: Article I vests appropriation authority exclusively in Congress.
Musk’s formal status as a "special government employee"—legally limited to 130 working days per year—masked the substantive breadth of his influence. The Economic Policy Institute documented that Musk’s companies had received at least $38 billion in government contracts, loans, subsidies, and tax credits over two decades, creating profound conflicts of interest with his simultaneous role in restructuring the agencies responsible for overseeing those companies. At least 23 of the more than 100 DOGE operatives tracked by ProPublica made agency-level cuts at regulators that had previously overseen the sectors in which they themselves had previously worked (ProPublica, July 2025).
Musk’s departure from DOGE’s public leadership in late May 2025 did not diminish the programme’s structural footprint. As NPR reported in June 2025, DOGE personnel and operational norms were by then embedded within individual agencies; new federal hiring procedures imposed ideological fidelity requirements on applicants; and Russell Vought, DOGE’s de facto successor and architect of Project 2025, remained positioned to coordinate further reductions. The salient constitutional issue—whether an unelected private citizen may exercise effective control over the payment and personnel systems of the federal government without congressional authorisation—remains unresolved in law, even as it has been resolved in practice.
Musk’s leverage over national security infrastructure operates along a second, parallel axis. As the owner of Starlink (the dominant satellite internet provider deployed in active conflict zones), X (the primary public communications platform), and SpaceX (the critical launch vehicle for U.S. military and intelligence satellites), he controls communication and logistics nodes that no modern state can readily replace. The United States government’s technological dependency on Musk is thus structural rather than merely political—a dependency that generates, as the game-theoretic model below demonstrates, systematic incentives to subsidise rather than regulate.
II.3 Meta Platforms and the Frontier of Neurocognitive Governance
The governance challenge posed by Mark Zuckerberg and Meta Platforms operates at a longer temporal horizon but carries the most consequential long-run implications for democratic autonomy. At Meta Connect 2025 (September 2025), the company unveiled the Ray-Ban Meta Display Glasses ($799), the Oakley Meta Vanguard sport glasses, and an electromyography-based Neural Band that interprets peripheral nervous system signals to enable gesture control of digital interfaces—what Zuckerberg himself described as the infrastructure for "personal superintelligence." The Neural Band, which reads neurological signals transmitted from brain to hand, can achieve gesture recognition rates exceeding 90 percent and enables input speeds approaching 45–50 words per minute through thought-directed finger movements.
The privacy implications were immediately recognised by regulatory scholars. Stanford Law School’s Law and Biosciences Blog (2024) noted that neural data "raise particularly pressing privacy concerns given their ability to monitor, decode, and manipulate brain activity." Colorado and California both enacted neural-data protection statutes classifying such information as sensitive under existing privacy frameworks, while a draft UNESCO Recommendation on the Ethics of Neurotechnology—analysed by ScienceDirect scholars (2024)—called for a more expansive framework covering "cognitive biometrics" broadly. What remains absent is any federal framework governing the collection, retention, or monetisation of the neuro-muscular data harvested by these consumer devices.
The governance concern extends beyond individual privacy. As neurotechnology expert Nita Farahany has documented, consumer neural interfaces create the conditions for what she terms "mind warfare"—the capacity to decode, and potentially influence, thought patterns at scale (The Record, October 2025). Farahany’s research demonstrates that existing devices have already been used in laboratory conditions to extract financially sensitive information—including PIN codes—from users without their conscious awareness. When a single corporate entity controls the data infrastructure through which hundreds of millions of users interact with their information environment, and that infrastructure reaches into the neurological substrate of decision-making, the concept of political autonomy requires fundamental reexamination.
Oxfam’s January 2026 report,
Resisting the Rule of the Rich, noted that billionaires now own more than half of the world’s largest media companies and all major social media platforms. The combination of algorithmic content curation, AI-enabled personalisation, and—prospectively—neuro-interface data creates a layered architecture of influence extending from the public square to the cognitive substrate of individual judgment.
III. Socioeconomic Divergence and the Rent-Extraction Model of Power
The economic data for 2025–2026 provide empirical grounding for what might otherwise appear to be a theoretical claim about structural power. Oxfam’s January 2026 report documents that global billionaire wealth surged by more than 16 percent in 2025—three times the average annual rate of the prior five years—to a record $18.3 trillion, an 81 percent increase since 2020. The number of billionaires surpassed 3,000 for the first time. In October 2025, Elon Musk became the first individual in history to accumulate personal wealth exceeding half a trillion dollars; by year-end his fortune stood at approximately $700 billion, exceeding the entire Forbes 400 as recently as 1997.
This accumulation is not independent of the structural transformations described in Section II. The 15 wealthiest individuals in the United States collectively increased their combined wealth by $747 billion in 2025—a 31 percent increase—in the same year that the Trump administration slashed the regulatory frameworks, tax obligations, and antitrust enforcement that historically constrained such concentration. Musk alone gained approximately $308 billion (73 percent) in a single year in which he simultaneously exercised direct administrative control over the agencies nominally responsible for overseeing his companies.
The inverse correlation between elite wealth accumulation and social welfare outcomes is stark. Oxfam reports that one in four people globally faced food insecurity as of early 2026—a deterioration from the previously documented one-in-nine ratio. Meanwhile, the $2.5 trillion in billionaire wealth gains in 2025 would, by Oxfam’s calculations, have been sufficient to eradicate extreme poverty globally 26 times over. The structural dynamic is best characterised not as a production-based economy in which wealth reflects value creation, but as a rent-extraction model in which control over digital infrastructure, data, and platform monopolies enables the continuous extraction of value from the commons.
The translation of economic concentration into political power is quantified with unusual precision by Oxfam’s 2026 methodology. Billionaires are now 4,000 times more likely to hold or directly influence political office than ordinary citizens—a quadrupling from the 1,000:1 ratio documented in 2024. In the 2024 U.S. election cycle, one in every six dollars contributed came from just 100 billionaire families. The “Deep State” has not been abolished; it has been privatised and rendered overt.
IV. Bayesian Game Theory: Strategic Behaviour under Information Asymmetry
The Bayesian game-theoretic framework is particularly apt for analysing the dynamics described above because the defining characteristic of the Proprietary Deep State is precisely information asymmetry: the state does not know the true motivations and capabilities of its private partners, and the private actors exploit this uncertainty strategically. Two scenarios merit formal treatment.
IV.1 The Blackout Gambit: Infrastructure Dependency and Strategic Subsidy
Consider a two-player game between a Sovereign State (Player 1) and a Technology Principal (Player 2). The State’s uncertainty concerns the Principal’s type: with probability P = 0.6 the Principal is a State-Aligned Actor who will maintain infrastructure access in exchange for adequate compensation; with probability 1−P = 0.4 the Principal is an Independent Sovereign who will selectively restrict access to maximise private geopolitical or commercial gain.
In a conflict zone (e.g., any of the active theatres in which Starlink currently operates), the Principal decides whether to maintain or restrict satellite communications. If the Principal is an Independent Sovereign, restricting access at a critical moment can be used to extract a bilateral agreement with a third party, to extract additional subsidy from the State, or to advance ideological objectives. The State, unable to observe the Principal’s type prior to the decision, must determine its optimal strategy under uncertainty.
The Bayesian Nash Equilibrium of this game is characterised by systematic over-subsidy. Because the cost to the State of a communications blackout in a conflict zone is existentially high—measured in lives, operational security, and geopolitical credibility—the State’s dominant strategy is to pre-emptively offer compensation sufficient to retain alignment even from an Independent Sovereign type. Since this compensation exceeds what a State-Aligned Actor requires, the equilibrium involves a persistent transfer of public resources to private hands, irrespective of the Principal’s actual intentions. The structural consequence is that the Principal captures surplus regardless of type, and the State bears full downside risk regardless of the Principal’s behaviour.
This is not a hypothetical. Musk’s companies had received at least $38 billion in government contracts and subsidies over two decades prior to his appointment to DOGE, and his SpaceX received the second-largest NASA contract award in fiscal year 2023. The DOGE episode represents, in game-theoretic terms, the Principal moving inside the State’s payoff function: by controlling the agencies responsible for these contracts, Musk gained the capacity to influence the terms of the game itself.
IV.2 The Algorithmic Coup: Platform Bias and Social Fragmentation
A second game involves the Electorate (Player 1) and a Platform Owner (Player 2) during an election cycle. The Electorate’s uncertainty concerns the nature of the Platform’s algorithm: with probability P = 0.3, the algorithm is informationally neutral; with probability 1−P = 0.7, it systematically amplifies or suppresses political content in ways that advantage certain electoral outcomes.
During the 2026 electoral cycle, the Platform Owner must decide whether to throttle specific political speech, promote certain candidates, or alter the visibility of policy information. Critically, the Electorate cannot directly observe algorithmic decisions; it can only observe outcome distributions, which are susceptible to multiple alternative explanations.
Because the prior probability of bias is high (0.7), the rational Bayesian voter—observing any anomalous information distribution—updates toward the bias hypothesis. The equilibrium result is generalised epistemic distrust: voters systematically discount platform-mediated information, but—having no credible alternative information source—cannot easily replace it. This produces social fragmentation precisely favourable to the Platform Owner: a fragmented electorate is less capable of generating the collective mandate for regulatory action that would constrain the Platform’s power. The Platform Owner thus benefits from distrust of the platform, as long as it remains the primary information intermediary.
The structural analogy to Palantir’s position in intelligence is exact: in both cases, the private actor controls an infrastructure on which the State (or the Electorate) depends, the proprietary nature of the infrastructure prevents direct verification of the actor’s behaviour, and the equilibrium involves systematic subsidy or tolerance in exchange for continued access.
V. The Crisis of Legal Extraterritoriality and the Collapse of the Westphalian Framework
The emergence of Sovereign Billionaires—private actors who exercise foreign-policy-equivalent power across state boundaries—creates a systemic crisis for the Westphalian framework of international law. The 1648 Peace of Westphalia established the foundational principle of sovereign equality: states, as the primary legal persons of international relations, are exclusively entitled to exercise coercive and regulatory power within their territorial jurisdiction.
This framework has never fully accommodated powerful private actors, but the scale of the current phenomenon is historically unprecedented. When Musk conducts direct geopolitical interventions—restricting Starlink access to Ukrainian forces in the Crimea corridor in 2023, engaging in unsolicited shuttle diplomacy with foreign leaders, directing the restructuring of USAID—he exercises powers that classical international law reserves exclusively to state agents. When Palantir’s proprietary algorithms govern the border policies and immigration enforcement operations of the world’s largest economy, with classified outputs that no external auditor can review, the sovereign equality norm is not violated but circumvented: the sovereign formally retains authority, but the exercise of that authority is mediated by a private actor whose decision logic is opaque.
The lex mercatoria of platform governance—the Terms of Service agreements that constitute the operative constitutional law of billions of users—represents a further dimension of this extraterritorial authority. A platform’s capacity to de-platform a sitting head of state, to disable payment infrastructure, or to algorithmically suppress a political movement does not require any territorial nexus. These are exercises of power that affect political outcomes in jurisdictions where the Platform Owner bears no legal accountability.
The G7 must confront the possibility that existing international law’s exclusive focus on state actors renders it constitutively inadequate to the present situation. Several doctrinal developments merit urgent consideration: the extension of international human rights obligations to private actors exercising state-equivalent functions (building on the UN Guiding Principles on Business and Human Rights); the development of mandatory interoperability and algorithmic auditability standards as preconditions for market access in democratic jurisdictions; and the elaboration of a framework for what might be termed “infrastructure sovereignty”—the principle that critical communications, data, and AI infrastructure must be subject to democratic accountability regardless of its nominal ownership.
VI. Towards a Governance Architecture: Strategic Recommendations
The analytical framework developed above suggests that conventional regulatory approaches—sector-specific oversight, antitrust enforcement, or voluntary codes of conduct—are structurally insufficient. The Bayesian Nash Equilibria identified in Section IV generate systematic incentives for states to subsidise rather than constrain private infrastructure monopolies. Breaking these equilibria requires structural interventions that alter the underlying payoff functions.
Four priority areas merit immediate attention. First, mandatory algorithmic auditability: democratic states should require, as a condition of government contracting and platform operation, that AI systems deployed in enforcement, electoral, or infrastructure contexts be auditable by independent technical bodies with security clearance. The current situation, in which the classification of threats and the prioritisation of enforcement are determined by proprietary algorithms, is incompatible with the rule of law.
Second, infrastructure sovereignty legislation: G7 members should enact a common framework establishing that critical communications infrastructure—including satellite internet, AI backbone systems, and social media platforms above defined reach thresholds—cannot be controlled by a single private actor without robust public accountability mechanisms. This framework should include mandatory redundancy requirements, interoperability obligations, and emergency access provisions exercisable by democratic governments without unilateral private veto.
Third, neural data governance: the deployment of consumer neural interfaces in the absence of any federal regulatory framework represents an acute governance failure. G7 members should adopt the UNESCO Recommendation on the Ethics of Neurotechnology as a baseline and enact implementing legislation that prohibits the commercial monetisation of neural and cognitive biometric data without affirmative, informed, and ongoing user consent. The data category should be classified alongside health data as requiring the highest tier of protection.
Fourth, structural conflict-of-interest prohibitions: the DOGE episode reveals that existing special-government-employee ethics rules are inadequate to govern situations in which private actors with multi-billion-dollar government contract portfolios exercise direct administrative authority over the agencies managing those contracts. G7 members should consider adopting mandatory divestiture requirements for any private actor exercising de facto governmental authority, analogous to the blind trust requirements applied to elected officials.
VII. Conclusion
The Proprietary Deep State is not a conspiracy theory but an institutional description. The convergence of verifiable empirical data—Palantir’s $10 billion Army framework, Musk’s exercise of authority over federal payment and personnel systems, Meta’s deployment of neural-interface wearables, and Oxfam’s documentation of a 4,000:1 political influence asymmetry—reveals a structural transformation in the locus of state power. The Deep State has not been abolished; it has been privatised, made more powerful, and rendered partially visible.
The Bayesian game-theoretic analysis developed in Section IV demonstrates that this is not merely a political choice that can be reversed by electoral means. The structural dependency of states on private infrastructure monopolies generates equilibria that systematically favour continued and deepening privatisation. Breaking these equilibria requires the kind of structural regulatory intervention that is currently politically costly precisely because the actors who would be constrained by it exercise substantial influence over the political process itself.
This is the fundamental governance dilemma of the present moment: the actors whose power most requires democratic accountability are also the actors best positioned to prevent the exercise of that accountability. Addressing this dilemma is the defining challenge of democratic governance in the third decade of the twenty-first century.
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