THE MARCH 2nd GLOBAL ENERGY SHOCK

Multilateral Bayesian Scenarios: A Geopolitical Strategic Analysis

Abstract

The joint United States–Israeli military operation codenamed Operation Epic Fury / Roaring Lion, launched on 28 February 2026, and Iran's subsequent retaliatory strikes on Gulf energy infrastructure on 2 March 2026 have precipitated the most severe geopolitical energy shock since the 1990 Gulf War. Within a single trading session on 2 March, Brent crude surged intraday to $82.37 per barrel—its highest level since January 2025—before settling approximately 8.6 percent higher at $79.14. European wholesale natural gas prices simultaneously rose as much as 54 percent after QatarEnergy, the world's largest LNG producer, announced a full halt to liquefied natural gas production following Iranian drone strikes on its Ras Laffan and Mesaieed facilities. This paper applies a Bayesian multilateral game-theoretic framework to assess the systemic consequences of what we term the 'Double-Choke' event—the simultaneous disruption of Saudi Arabia's Ras Tanura refinery and Qatar's Ras Laffan LNG complex—and identifies three plausible strategic trajectories to 2030, ranging from a contained US-led resolution to a structurally bifurcated global energy order or, in the tail scenario, systemic global contagion.

I. The Precipitating Event: Operation Epic Fury and Iranian Retaliation

I.i. The US–Israeli Strike Campaign (28 February – 2 March 2026)

On the morning of 28 February 2026, Israel and the United States launched a coordinated joint military campaign against Iran—codenamed Operation Roaring Lion by the Israel Defense Forces and Operation Epic Fury by the US Department of War. The strikes targeted Iran's senior leadership, nuclear programme, ballistic missile infrastructure, and key military facilities across Tehran, Isfahan, Qom, Karaj, and Kermanshah. Supreme Leader Ayatollah Ali Khamenei, 86, was killed by an Israeli strike at his compound; simultaneously, the IRGC commander, Iran's Defence Minister, and the Secretary of the Supreme National Security Council, Ali Larijani were among the senior figures killed. Iran's state media confirmed Khamenei's death on 1 March and declared 40 days of national mourning. President Masoud Pezeshkian vowed revenge.

The scale and coordination of the operation reflected a qualitative escalation beyond the 12-day Israel–Iran war of June 2025, in which both parties had engaged in more limited symbolic exchanges. The stated objectives of Epic Fury—regime change alongside nuclear disarmament—signal a deliberate departure from earlier containment logic and introduce a prolonged period of structural uncertainty that markets have only partially priced in.

I.ii. Iranian Retaliatory Strikes: The Double-Choke (1–2 March 2026)

Iran's response to the killing of Khamenei was both rapid and strategically calibrated. Beginning on 1 March, the Islamic Revolutionary Guard Corps launched dozens of drones and ballistic missiles across the Persian Gulf, targeting US military bases in Jordan, Kuwait, Bahrain, Qatar, Iraq, Saudi Arabia, and the UAE, as well as civilian aviation infrastructure including airports in Kuwait and Dubai. Six US service members were confirmed killed by 2 March; the Iranian death toll from US–Israeli strikes reached at least 555 civilians and combatants as of the same date.

The targeting of Gulf energy infrastructure on 2 March represented the most consequential phase of the Iranian retaliation. Two distinct nodes—previously treated as informal 'red lines' by regional powers—were simultaneously struck for the first time in the conflict's history:

Ras Tanura, Saudi Arabia

Saudi Aramco's Ras Tanura complex, home to one of the world's largest oil refineries with a throughput capacity of 550,000 barrels per day (b/d), was targeted by Iranian drones on the morning of 2 March. Saudi Arabia's defence forces intercepted two drones; however, debris from the interceptions triggered a fire at the facility. Aramco halted all operations as a precautionary measure. Gasoil futures spiked on the closure. Torbjorn Soltvedt, principal Middle East analyst at Verisk Maplecroft, assessed that the attack—the first Iranian strike on the Gulf's energy infrastructure to result in reported disruption—'has Gulf energy infrastructure now squarely in Iran's sights' and is 'likely to move Saudi Arabia and neighbouring Gulf states closer to joining US and Israeli military operations against Iran.' The halt at Ras Tanura follows a disruption the previous week at the nearby Juaymah liquefied petroleum gas terminal, one of the world's largest exporters of natural gas liquids, compounding supply anxieties.

Ras Laffan Industrial City and Mesaieed, Qatar

Qatar's Defence Ministry confirmed that two Iranian drones struck Qatari energy facilities on 2 March: one targeting a water tank at a power plant in Mesaieed and the other hitting an energy facility within Ras Laffan Industrial City belonging to QatarEnergy. There were no human casualties. QatarEnergy, the world's largest LNG producer accounting for approximately 20 percent of global LNG supply, subsequently issued a formal statement announcing the cessation of all LNG and associated products production. The company operates 14 LNG trains with a combined annual production capacity of 77 million tonnes. Almost all of this output is exported through the Strait of Hormuz. European benchmark Dutch TTF gas prices rose 52–54 percent within hours of the announcement; Asian LNG spot prices jumped approximately 39 percent. Qatar's Foreign Ministry spokesperson stated that the country was 'not engaging with Iran at the moment' and that such attacks 'could not remain unanswered.'

II. Real-Time Market Impact: 2 March 2026

The Islamic Revolutionary Guard Corps (IRGC) has formally declared the Strait of Hormuz closed and threatened to ignite any vessel attempting transit. In strictly physical terms, the Strait has not been hermetically sealed; vessel-tracking data as of 2 March indicate limited traffic continues to move through the corridor. Yet this distinction is analytically secondary. The combination of electronic interference, confirmed attacks on at least four tankers — including one fatality — and the rapid withdrawal of major commercial operators and insurers has produced what is best described as a de facto closure through uninsurability.

Maritime war-risk premiums have surged to six-year highs, rendering transit economically prohibitive for operators lacking explicit sovereign guarantees. In practical effect, market mechanisms — rather than naval blockades — have suppressed throughput. Kpler’s geopolitical analysis team characterised the development as “a real supply disruption, not a risk premium event — physical barrels are being affected across crude, products, LPG, and LNG simultaneously.” This distinction is critical. The episode has moved beyond speculative pricing behaviour into measurable physical constraint across multiple hydrocarbon categories.

On 1 March, International Energy Agency (IEA) Executive Director Fatih Birol confirmed that the agency was “in touch with major producers in the Middle East,” signalling potential coordination of strategic petroleum reserve releases. Simultaneously, OPEC+ announced a production increase of 206,000 barrels per day for April. In structural terms, however, this increment is marginal relative to the scale of disrupted flows.

More importantly, a substantial portion of nominal Gulf spare capacity remains geographically constrained. Even if upstream production increases are technically feasible, export pathways are not. Saudi Arabia’s East-West Pipeline (capacity approximately 7 million b/d) and the UAE’s Fujairah export route provide partial circumvention of Hormuz, yet terminal infrastructure at Jeddah and related Red Sea facilities limits effective sustained throughput well below volumes normally transiting the Strait. Thus, spare capacity is not synonymous with deliverable capacity. The bottleneck is logistical rather than geological.

II.I.  Real-Time Market Impact: 2 March 2026

Market reactions on 2 March confirm that investors and traders interpret the situation as a material supply shock rather than a transient geopolitical headline.

Brent crude, which closed the preceding Friday at $72.87 per barrel, surged intraday to $82.37 before settling in the $79.14–79.45 range — an increase of approximately 8.6–9 percent relative to pre-crisis levels. West Texas Intermediate (WTI), which had been trading near $67, climbed to an intraday high of $75.33 before closing between $72.07 and $72.74, reflecting gains of roughly 7.5–8.4 percent.

The natural gas response was dramatically more pronounced. Europe’s TTF benchmark surged by approximately 52–54 percent relative to baseline levels, while Asian LNG spot prices rose roughly 39 percent. US gasoline futures reached $2.496 per gallon intraday, representing gains in the 4.9–9.1 percent range.

This divergence between oil and gas pricing is analytically revealing. The roughly 8–9 percent oil price response contrasts sharply with the 52–54 percent spike in European gas. The explanation lies in structural dependency. European and Asian gas markets have become heavily reliant on Qatari LNG flows — a reliance that deepened deliberately after European consumers reduced exposure to Russian pipeline gas following the 2022 invasion of Ukraine. The strategic substitution of dependency has therefore generated a new chokepoint vulnerability concentrated at Hormuz.

The intraday overshoot in Brent to $82.37, followed by retracement toward ~$79, reflects a classic “fear spike” dynamic. Initial panic pricing was partially tempered as markets absorbed OPEC+’s announced production increase and began assessing whether pipeline alternatives and reserve releases could mitigate the disruption. Yet forward guidance from major financial institutions underscores the fragility of that stabilisation.

Analysts at Barclays warned that a prolonged disruption could push Brent above $100 per barrel. UBS indicated that in a systemic crisis scenario, Brent spot prices could exceed $120. Citi placed its near-term trading range in the $80–90 corridor. Jamie Dimon, CEO of JPMorgan Chase, described the shock as manageable if short-lived but qualitatively “different” if protracted. JPMorgan’s commodities desk separately estimated that a three- to four-week squeeze on Strait traffic could compel Gulf producers to curtail upstream output, thereby driving Brent decisively above $100.

In sum, markets are pricing not merely disruption risk but duration risk. Oil reflects a constrained but partially reroutable system. Gas reflects a concentrated dependency with fewer short-term substitution pathways. The present configuration thus exposes a structural asymmetry: diversification away from Russian pipeline gas reduced one strategic vulnerability while intensifying another at the Hormuz chokepoint.

The resulting equilibrium is neither a full blockade nor normal trade. It is a condition of economic interdiction — a closure enforced not by mines or physical barriers, but by actuarial mathematics and sovereign risk calculations..

III. Geopolitical Consequences by Key Actor

III.i. The United States: Strategic Overstretch and Domestic Political Fragility

Operation Epic Fury has exposed the United States to a classic 'costs of success' dilemma. The killing of Khamenei and the decapitation of the IRGC high command achieve declared US–Israeli strategic objectives, but they do not resolve the core energy security challenge they have created. President Trump, speaking at the White House on 2 March, signalled that US strikes on Iran would continue and that the conflict was expected to last 'weeks but could become a prolonged battle.' This guidance directly sustained elevated oil prices through the trading session.

Domestically, each $1 increase in crude oil translates to approximately a 2.5 cent rise in retail gasoline prices. The sustained price surge risks breaching the psychologically significant $4.50/gallon threshold that historical polling associates with sharp declines in presidential approval. With midterm elections in November 2026, a prolonged energy shock functions as a regressive 'tax hike' on the American voter. Congressional dynamics may force a shift towards more isolationist foreign policy framing, even as the military campaign continues. Additionally, the deployment of carrier strike groups and naval assets to the Gulf creates a genuine capacity question regarding simultaneous deterrence commitments in the Indo-Pacific.

III.ii. Europe: The LNG Existential Crisis

Europe's energy security architecture, painstakingly reconstructed after the 2022 Russian gas crisis, has been exposed as critically fragile. The continent's pivot to Qatari LNG—with Qatar accounting for a significant share of EU imports—now represents a single-node dependency of the same structural type as the Nordstream pipeline reliance it was designed to replace. With gas storage at approximately 30 percent of capacity following winter drawdowns, and the Ras Laffan facility offline with no declared timeline for resumption, the risk of energy rationing in Germany and Italy by late 2026 is material. A 52–54 percent intraday TTF spike directly threatens the viability of energy-intensive manufacturing. The social cohesion risks are considerable: high energy prices have historically been the most reliable predictor of European populist electoral momentum.

III.iii. China, Japan, and India: The Asian Vulnerability

China imports approximately 80 percent of its oil through the Strait of Hormuz; Japan and South Korea together account for a large share of global LNG imports from the same corridor. Kpler data indicate that roughly three-quarters of Strait-transiting exports flow to China, India, Japan, and South Korea. China retains an estimated 90 days of strategic petroleum reserves, insufficient to sustain its manufacturing sector indefinitely. Beijing's strategic choice—between mediating a de-escalation that could constrain its Iranian relationships or providing indirect support to Iran to restore transit—will be determinative for the medium-term scenario pathway. India faces acute near-term fiscal exposure: a sustained oil price above $90/bbl for one quarter is projected to widen India's fiscal deficit by approximately 1.2 percent of GDP. Both India and China are assessing immediate pivots toward Russian crude as an alternative supply source.

The Asian LNG shock (+39% in spot prices) is qualitatively distinct from previous disruption episodes in that it represents a simultaneous loss of production (Ras Laffan shutdown) and transit (Hormuz de facto closure), rather than one or the other. This compound disruption severely limits the short-term effectiveness of existing LNG re-routing arrangements.

III.iv. Russia: Structural Beneficiary

Russia is the sole major power whose strategic position has been unambiguously improved by the March 2 events. Elevated energy prices generate direct fiscal revenue from Urals crude sales, which are now trading at a substantial premium relative to recent months. The diversion of Western strategic attention and military assets toward the Gulf reduces the credibility and bandwidth of NATO's support commitments to Ukraine. As of 2 March, Russia had already conducted 217 strikes against Ukrainian grid infrastructure this year; the strategic distraction in the Gulf may accelerate Moscow's timeline for offensive operations. For Chinese and Indian buyers who seek to reduce Hormuz-corridor exposure, Russian crude becomes the natural alternative—a dynamic that further insulates Moscow from Western sanctions.

IV. Bayesian Scenario Analysis: Strategic Trajectories to 2030

This scenario framework conceptualises the present US–Iran–China strategic interplay as a Bayesian incomplete-information game, whereby each principal actor forms probabilistic beliefs about the resolve, capability, and likely responses of the others. The likelihoods assigned below are calibrated as of 2 March 2026 and incorporate observed market and geopolitical signals — notably heightened crude price volatility, elevated insurance costs on tanker transits through the Strait of Hormuz, and persistent military tension following the death of Iran’s Supreme Leader — but remain subject to rapid revision as battlefield and diplomatic developments unfold. Current commodity markets have already reflected such risk premia: Brent crude has been trading above US $80/barrel with brief volatility spikes, and traders are increasingly pricing the risk of extended supply disruption through the key chokepoint at Hormuz. Such dynamics feed through to broader inflation expectations and macroeconomic indicators globally.

Scenario A: The Iron Squeeze — Probability: 45 %

Under this scenario, the United States achieves a decisive degradation of Iran’s Islamic Revolutionary Guard Corps (IRGC) maritime capability within a 30–45 day window. A combination of targeted naval operations and sustained air/naval pressure forces Iran’s residual leadership — now struggling with internal legitimacy challenges following the succession contest post-Khamenei — to accept a de facto ceasefire. Strategic communication channels engage Omani and Swiss intermediaries to manage indirect negotiations, thereby diffusing some face-saving aspects for Tehran while preventing further escalation.

Commercial energy flows through the Strait of Hormuz resume by the second quarter of 2026 under heavy US naval escort and elevated insurance premia, which reflect persistent insecurity despite restored passage. Secondary pipeline routes — notably Saudi Arabia’s East–West Pipeline and the UAE’s Fujairah crude export infrastructure — absorb incremental flows during the transition, mitigating but not eliminating shortages. Global markets, having priced in significant risk premia, experience elevated inflation through 2026 in energy and transport prices, with gradual normalisation as spare capacity rebalances markets.

Within this outcome, the US retains primacy as the Gulf’s security guarantor, albeit at a marked fiscal and reputational cost. The episode accelerates structural diversification efforts across major consuming regions — particularly in Europe and Asia — but does not instantly dismantle the US dollar’s central role in energy pricing; rather, that role is preserved even as participants incrementally hedge away from sole dollar denomination in longer-term contracts. European gas prices, notably at key benchmarks, are structurally elevated relative to pre-crisis levels even after initial shock absorption, reflecting both risk premia and supply chain adjustments.

Scenario B: The Great Divergence — Probability: 35 %

A prolonged contestation of the Strait of Hormuz beyond 60 days anchors this scenario. Iranian succession dynamics produce a hardline interim governing council that refuses de-escalation absent substantive concessions from Washington. US efforts to impose a military or diplomatic settlement stall, and China capitalises on strategic openings by negotiating a “Safe Passage” corridor with the interim Iranian authorities. This corridor is denominated in yuan and supported by selective Chinese naval signalling and escort operations, which reflect Beijing’s broader regional security interests and its sensitivity to domestic manufacturing pressures tied to energy imports.

Global energy markets bifurcate structurally in response. OPEC+ spare capacity rerouted through non-Hormuz channels — including pipelines bypassing the chokepoint and incremental Norwegian and Gulf of Mexico output — remains insufficient to fully offset lost flows, leading to persistent supply deficits, especially for refined products and intermediate fuels. The result is a durably weakened role for the US dollar as the sole pricing currency for energy trade, as alternative pricing arrangements denominated in non-dollar units gain traction within Eurasian supply networks..

The WTI–Brent spread widens permanently, driven by differing regional access constraints and risk premia, while Europe faces a multi-year trajectory of elevated gas prices and an acceleration of forced deindustrialisation in energy-intensive sectors. A new Eurasian energy architecture anchored by Chinese demand and Russian/Central Asian supplies operates in parallel to the Atlantic order, incomplete but highly resilient to disruptions anchored at Hormuz. In this environment, geopolitical alignments shift, with energy security strategies increasingly region specific and decoupled from a unified global pricing regime.

Scenario C: Global Contagion — Probability: 20 %

In this most adverse trajectory, economic desperation and sustained energy scarcity trigger cascading domestic political crises across Europe and South/Southeast Asia. Countries heavily dependent on oil and liquefied natural gas (LNG) shipments via Hormuz — which account for roughly one-fifth of global LPG and LNG trade — confront acute shortages as insurance premia and trading constraints reduce effective flows even absent formal blockade measures. The resulting energy price spikes feed directly into consumer price indices and industrial cost structures, triggering both inflation and output contractions.

Iran’s post-Khamenei disarray is compounded by proxy conflict proliferation, including renewed escalation by allied militias such as Hezbollah, further fracturing regional governance. China, interpreting the simultaneous degradation of US naval bandwidth and European political cohesion as a closing window of opportunity, initiates assertive manoeuvres in the Taiwan Strait, thereby opening a multi-theatre conflict involving major powers.

The global economic order, as practised since 1990, collapses under the weight of these compounded shocks. Integrated supply chains unravel, displaced in favour of regional autarky in energy and manufacturing as nations prioritise secure domestic provision over global trade efficiency. The resulting geopolitical equilibrium is one of structured multipolar confrontation, with discrete blocs defined by security assurances and energy access rather than unified through a US-led order.

Note: These scenario probabilities sum to 100 % and reflect the authors’ Bayesian priors as of 2 March 2026, incorporating the latest market signals, conflict dynamics, and strategic calculations observed in energy markets and geopolitical behaviour. They remain subject to rapid revision in response to shifts in battlefield realities, diplomatic breakthroughs, or sudden energy market realignments.

V. Critical Risk Assessments

V.i. The Uninsurability Problem

The most underappreciated near-term risk is not the physical closure of the Strait but its functional closure through the collapse of maritime insurance. Insurance premiums have reached six-year highs; private war risk underwriters have already begun declining Gulf-corridor coverage. Without state-backed guarantees from G7 governments, commercial tanker operators cannot secure coverage and will not transit regardless of military presence. This dynamic—market failure rather than military failure—can persist long after kinetic security conditions have nominally improved, and it affects the effectiveness of Saudi and UAE pipeline route alternatives in capturing diverted flows.

V.ii. Iranian Succession Uncertainty

The killing of Khamenei introduces a profound and analytically novel uncertainty. Unlike prior Middle Eastern regimes that collapsed upon leadership removal, Iran's governance structure is institutionalised and decentralised. The Islamic Revolutionary Guard Corps retains organisational coherence, though its top command has been decimated. The succession process—formally governed by the Assembly of Experts—may produce a more pragmatic figure, a hardliner consolidating around military institutions, or a prolonged factional paralysis. Each outcome implies a materially different de-escalation pathway. Markets and policymakers should not assume that regime change translates automatically into energy market stabilisation: the interregnum itself is a period of maximum strategic risk.

V.iii. The Taiwan/Ukraine Escalation Nexus

The strategic distraction calculus is real and time-sensitive. Beijing's assessment of US naval bandwidth is being continuously revised as carrier strike group deployments are publicised. The six US service members already killed in Iranian retaliatory strikes indicate that the conflict has moved beyond proxy engagement. Russia's ongoing grid strikes in Ukraine are consistent with a deliberate attempt to capitalise on reduced Western focus. The probability of a Taiwan escalation attempt rises non-linearly if the Gulf conflict extends beyond 60 days and appears to consume a second carrier group. This nexus—Gulf, Taiwan, Ukraine—represents the tail risk that transforms Scenario A into Scenario C.

VI. Recommended Policy Responses

VI.i. G7 War Risk Insurance Facility

The most immediate and highest-leverage intervention available to G7 governments is the establishment of a state-backed war risk insurance pool for Gulf-corridor tanker traffic. Private insurers have effectively exited the market; without public-sector underwriting, pipeline route alternatives and strategic reserve releases cannot fully substitute for Strait transit volumes. A coordinated G7 facility—modelled on the post-9/11 aviation insurance backstop—should be activated within 72 hours of any declared intent to maintain commercial shipping lanes.

VI.ii. Coordinated Strategic Reserve Release

A coordinated IEA-led release of at least 60 million barrels from G7 strategic petroleum reserves would address both the physical supply gap and the psychological price spiral. The IEA director's engagement with Gulf producers on 1 March signals readiness to act; the OPEC+ April production increase of 206,000 b/d provides a fig-leaf of market cooperation. However, visible oil inventories globally stood at approximately 74 days of demand as of the onset of the crisis—near historical median—which means the buffer is adequate only for a short-duration disruption. A release should be announced preemptively, not reactively, to maximise its price-dampening effect.

VI.iii. Diplomatic Backchannel Architecture

The Omani and Swiss foreign ministries have historically served as the most effective backchannel conduits between Washington and Tehran. Their activation should be pursued in parallel with kinetic operations, not sequentially. The precedent of the June 2025 nuclear talks—in which Shamkhani had indicated that 'an immediate agreement [was] within reach'—suggests that elements of Iran's political system retained a transactional orientation even before the 28 February strikes. Post-Khamenei, identifying the relevant interlocutors and establishing their authority to negotiate is the paramount diplomatic task. Any framework should include explicit 'Energy Neutrality' guarantees—a mutual commitment not to target energy infrastructure—as a confidence-building precondition to broader de-escalation.

VI.iv. Energy Sovereignty Measures for G7 Partners

Over the medium term, the crisis validates the strategic logic of treating LNG and crude oil as national security assets rather than spot-market commodities. The US Permian Basin and Norwegian Continental Shelf should be directed, through emergency procurement agreements, to prioritise supplies to G7 partners. The European Commission should activate its emergency gas coordination mechanism and establish intergovernmental offtake agreements with alternative LNG suppliers (Australia, US Gulf Coast) to reduce structural dependence on Qatari volumes. These measures will not resolve the immediate crisis but are essential to preventing Scenario B from becoming self-fulfilling through European political fragmentation.

VII. Conclusion

The events of 28 February–2 March 2026 constitute a threshold rupture in the post-Cold War energy architecture. The simultaneous disablement of Ras Tanura and Ras Laffan—the world's two most critical single-node energy processing facilities—and the functional closure of the Strait of Hormuz through a collapse of commercial insurance represent a qualitatively different order of shock than prior Middle Eastern disruptions. The killing of Supreme Leader Khamenei removes the principal figure around whose decision-making Iranian foreign policy had cohered for 35 years, introducing a succession uncertainty that makes even the negotiated de-escalation scenario (Scenario A) highly contingent. The probability that the global economy has already entered recession territory—conditional on disruptions persisting beyond 21 days—is material. The probability that this energy shock becomes the catalyst for a broader multi-theatre confrontation is no longer trivially small.

Sound policy requires simultaneous action on four tracks: military (ensuring escalation dominance while avoiding widening), diplomatic (engaging residual Iranian interlocutors before hardliners consolidate), market (insurance backstop, reserve release), and structural (emergency G7 energy solidarity agreements). Failure on any one of these tracks will substantially elevate the probability of transitioning from Scenario A to Scenario B or C. The 14-day window referenced in this paper's introduction is not rhetorical: it corresponds to the operational timeline at which insurance market withdrawal, just-in-time supply chain disruptions, and European gas storage dynamics begin to produce irreversible economic damage.

Disclaimer: This analysis is based exclusively on open-source reporting and public market data available as of 2 March 2026. Probabilistic scenario assignments are analytical, not predictive, and should not be used as the basis for investment decisions. The authors have no financial interest in any of the commodities or securities discussed

THE SILICON SCHISM: Anthropic, the Department of War, and the Geopolitics of Algorithmic Sovereignty

 

Executive Summary 

As of March 1, 2026, the long-standing tension between Silicon Valley's ethical frameworks and the U.S. national security apparatus has reached a definitive breaking point. The Department of War (DoW), acting under directive from President Donald Trump and Secretary Pete Hegseth, designated Anthropic—a cornerstone of American AI innovation valued at approximately $380 billion—as a "Supply Chain Risk to National Security." This unprecedented action, the first time the designation has ever been applied to a domestic American firm, followed Anthropic's steadfast refusal to remove technical constitutional safeguards against mass domestic surveillance and fully autonomous lethal weapons from its model deployment contract. 

The confrontation escalated rapidly across a single week in late February 2026. On February 25, Hegseth issued Anthropic CEO Dario Amodei an ultimatum—comply by 5:01 PM ET on Friday, February 27, or face designation and contract termination. Amodei responded in a public statement the following day, writing that the company "cannot in good conscience accede to the Pentagon's request." When the deadline passed without agreement, President Trump ordered all federal agencies to "immediately cease" use of Anthropic's products, initiating a six-month phase-out. Within hours, OpenAI announced a competing Pentagon agreement that nominally preserved similar red lines through different contractual architecture. Anthropic announced it would challenge the designation in court, calling it "legally unsound" and a "dangerous precedent." 

This article examines the deep geopolitical, legal, and sociopolitical ramifications of this schism, analyzing the erosion of democratic values, the emergence of a command-oriented technology market, and the long-term consequences for the liberal world order. 

 

I. Chronology and Factual Record 

A precise reconstruction of events is essential to any rigorous analysis. In July 2025, Anthropic was awarded a $200 million contract with the Pentagon—the first AI firm whose models were approved for deployment on classified government networks, achieved through a partnership with Palantir. For the subsequent months, the deployment was, by Anthropic's own account, operationally uncontested: the company stated that its two narrow safeguards had "not affected a single government mission to date." 

Tensions crystallized in late February 2026 when Pentagon leadership, including Defense Undersecretary Emil Michael, began pressing Anthropic to accept language permitting use of Claude for "all lawful purposes" without explicit carve-outs for mass domestic surveillance or autonomous lethal targeting. Pentagon negotiators argued that federal law already prohibits such uses and that requiring private companies to write their ethical policies into government contracts established an unworkable precedent—one in which, as a Pentagon official stated, the military would be unable to "lead tactical operations by exception." 

Anthropic's position was that contractual language offered as compromise contained "legalese that would allow those safeguards to be disregarded at will." A significant dispute concerned data collection: according to Axios, a final Pentagon offer sought the ability to analyze Americans' geolocation, web browsing data, and financial information purchased from data brokers—uses Anthropic considered categorically distinct from its mission. Anthropic had previously offered broad concessions, including approval for missile defense, cyber operations, and intelligence analysis, but held firm on two narrow exceptions: no fully autonomous lethal targeting, and no mass domestic surveillance of Americans. 

On Tuesday, February 25, 2026, Hegseth met Amodei at the Pentagon. The meeting was described as cordial, though Pentagon sources told NBC News that Hegseth threatened to invoke the Defense Production Act (DPA)—a Korean War-era statute granting the President broad emergency authority over private industry—to compel compliance. The DPA threat was paired with the warning of a supply-chain-risk designation. Amodei publicly responded on February 26 that "threats do not change our position." The deadline passed at 5:01 PM ET on February 27 without agreement. Trump posted on Truth Social that Anthropic had made a "disastrous mistake" and ordered the government-wide cessation of Anthropic usage. Hegseth declared the supply-chain-risk designation on X the same evening, stating that "no contractor, supplier, or partner that does business with the United States military may conduct any commercial activity with Anthropic." 

Within hours, OpenAI CEO Sam Altman announced on X that his company had "reached an agreement with the Department of War to deploy our models in their classified network." The OpenAI agreement formally maintained the same two red lines as Anthropic's position—prohibitions on domestic mass surveillance and autonomous weapons—but achieved them through a layered "safety stack" architecture rather than explicit contract prohibitions, combined with cloud-only deployment and cleared OpenAI personnel in operational loops. Altman publicly called on the government to offer the same terms to all AI labs, and to resolve the dispute with Anthropic. Hundreds of employees from Google and OpenAI signed an open petition supporting Anthropic's stance. 

 

II. The Crisis of Democratic Values: Surveillance, Autonomy, and the Constitutional Order 

II.i. The Fourth Amendment and the Digital Panopticon 

The confrontation centers on two red lines established by Anthropic's leadership that are deeply rooted in constitutional and democratic principles. The first is the refusal to permit Claude to be used for mass domestic surveillance. The U.S. Constitution's Fourth Amendment protects the "right of the people to be secure in their persons, houses, papers, and effects, against unreasonable searches and seizures." The DoW's demand for "all lawful use" access, paired with negotiating language that sought access to Americans' geolocation, web browsing, and financial data from commercial brokers, signals an intent to leverage agentic AI for a form of population-level data aggregation that would have been practically impossible one generation ago. 

From an academic and civil-libertarian perspective, automating the classification and behavioral scoring of citizens based on privately generated data replicates the logic of what Foucauldian theorists identify as the "panopticon"—a surveillance architecture in which the mere possibility of being watched disciplines behavior across an entire population, regardless of whether any individual is actually being observed. When a government classifies its own population through opaque algorithmic inference, it replaces the foundational legal principle of the "presumption of innocence" with a condition of continuous probabilistic suspicion. This is not merely a legal dispute but a fundamental shift from democratic governance—in which the state bears the burden of establishing individual guilt through due process—to algorithmic governance, in which the state manages risk populations defined by statistical inference. 

The Pentagon's counter-argument is procedurally cogent: federal law already prohibits mass domestic surveillance, and an AI company's contractual terms of service are redundant at best and jurisdictionally inappropriate at worst. Yet this argument elides a critical asymmetry: existing legal prohibitions constrain stated government intent, not technical capability. A constitutional safeguard embedded in an AI model's technical architecture provides a friction point that statutory law alone cannot; it ensures that the capability to surveil at scale is not silently developed even when immediate intent is benign. Anthropic's insistence on explicit contractual prohibition thus functions less as a commercial condition than as a structural engineering control in the tradition of privacy-by-design. 

II.ii. The Morality and Techno-Ethics of Autonomous Lethal Force 

Anthropic's second red line—prohibiting "human-out-of-the-loop" lethal systems—addresses both the technical and moral limits of current generative AI. CEO Amodei stated publicly that "today's frontier AI models are not reliable enough to be used in fully autonomous weapons" and that "allowing current models to be used in this way would endanger America's warfighters and civilians." This is not a rhetorical position: Claude and comparable large language models are known to hallucinate with non-trivial frequency, to fail in adversarial distributional conditions, and to lack the contextual situational awareness required to distinguish combatants from non-combatants in complex, dynamic, multi-party urban environments. 

Beyond technical reliability, the deployment of autonomous lethal systems creates what legal scholars have termed the "accountability gap." The laws of armed conflict under the Geneva Conventions presuppose the existence of a moral agent—a commanding officer, a soldier—who bears legal and ethical responsibility for the decision to apply lethal force. When an autonomous system selects and engages a target without meaningful human control, no such agent exists. A war crime committed by an algorithm produces no defendant, no tribunal, and no deterrence signal. Far from strengthening U.S. military effectiveness, premature deployment of autonomous weapons in conditions of model unreliability increases the probability of catastrophic and legally unattributable escalation. 

The Pentagon's position—that it has no intention of using Claude for fully autonomous weapons and that its internal policies already forbid it—again presents a procedural argument against a structural one. The DoW's insistence that it cannot commit to this restriction "in writing to a company" reveals a deeper tension: between institutional confidence in self-governance and the recognition that contractual commitments to private suppliers constitute an external accountability mechanism that survives changes in administration, personnel, and political environment. Anthropic's position is, in this reading, a demand for durable rather than merely stated assurance. 

 

III. Geopolitical Economy: From Free Markets to Command Dynamics 

The designation of a domestic, $380-billion AI leader as a "supply chain risk"—a classification previously reserved for the likes of Huawei, ZTE, and other firms deemed extensions of adversarial foreign state apparatuses—marks a radical departure from the foundational premises of liberal market governance. Legal experts quoted in Fortune noted that this is "the first time the U.S. has ever designated an American company a supply chain risk" and the first time the designation has been used "in apparent retaliation for a business not agreeing to certain terms." The University of Minnesota law professor Alan Rozenshtein characterized the move directly: "The government really wants to keep using Anthropic's technology, and it's just using every source of leverage possible." 

Under a conventional free-market model, vendor selection in government procurement is governed by a balance of technical quality, price, and mutually agreed-upon terms of service. Companies maintain Acceptable Use Policies that define the ethical boundaries of their products, functioning as a form of private governance that, in the aggregate, constitutes a check on state power through market structure rather than legal mandate. The DoW's approach inverts this relationship: by threatening total market exclusion under the supply-chain-risk mechanism, the state transforms the AUP from a contractual term into a political loyalty test. 

The immediate consequence is visible in OpenAI's behavior. Although Altman stated publicly that OpenAI shares Anthropic's red lines on surveillance and autonomous weapons, the company secured a deal within hours of Anthropic's designation. The substantive question—whether OpenAI's safety stack architecture provides equivalent protection to Anthropic's explicit contract prohibitions—remains unresolved and, critically, unverifiable from outside the agreement. As Fortune noted, Altman said OpenAI agreed the Pentagon could use its tech for "any lawful purpose" while also saying the limitations were "put into our agreement"—leaving it unclear how both propositions can simultaneously be true. This ambiguity is not trivial: in a high-pressure military operational context, the distinction between implicit reliance on existing law and explicit contractual prohibition may determine whether a safeguard holds. 

The broader structural consequence is the emergence of what may be characterized as a compliance-oriented command economy in the AI sector. By excluding non-compliant firms, the administration is not selecting the most capable technology—the Pentagon's own user base was, by multiple accounts, highly satisfied with Claude—but the most contractually acquiescent technology. This creates a perverse selection dynamic in which safety architecture is rewarded by market exclusion and compliance is rewarded regardless of whether it represents genuine ethical alignment or strategic opacity. As Adam Connor of the Center for American Progress observed, the designation means that "some large portion" of Anthropic's enterprise customer base "might evaporate, either because they have government contracts or might want them in the future"—a chilling effect on the commercial independence of any AI firm that maintains substantive safety commitments. 

 

IV. Legal Analysis: The Supply Chain Risk Designation and Its Limits 

The legal architecture of the supply-chain-risk designation warrants careful scrutiny. The relevant statutory mechanism permits the Pentagon to exclude suppliers it designates as posing national security risks from contract eligibility. However, as Anthropic's legal team immediately argued, the scope of that authority is narrower than the administration's public statements suggested. Federal law limits supply-chain-risk designations to DoW contract use; the DoD cannot, through this mechanism alone, compel private companies to cease providing services to other customers or mandate that all defense contractors sever all commercial relationships with the designated firm. 

Hegseth's X post stating that "no contractor, supplier, or partner that does business with the United States military may conduct any commercial activity with Anthropic" thus appears to have outrun the statutory authority. Anthropic directly rebutted this claim, asserting that "the Secretary does not have the statutory authority to back up this statement." The statute also requires, according to Fortune's legal analysis, that the Pentagon exhaust alternative, less intrusive courses of action before making a supply-chain-risk finding—a procedural requirement whose adequacy is plainly questionable given how rapidly the dispute escalated from internal negotiation to public designation across a single week. These are not trivial procedural objections; they are substantive grounds for judicial review that may ultimately vindicate Anthropic's position, though the business damage from years of litigation may prove irreversible regardless of legal outcome. 

The Defense Production Act threat presents a separate and arguably more alarming legal dimension. The DPA confers on the President broad emergency authority to direct private industries to prioritize national security needs. Its invocation against a domestic AI company to compel the removal of safety guardrails would represent an unprecedented exercise of emergency executive power in the peacetime technology sector. The constitutional questions raised—including First Amendment implications of compelling a company to deploy its models in ways its principals consider harmful—have not been tested in any court and would likely require extended litigation to resolve. Senator Mark Warner, vice chair of the Senate Intelligence Committee, stated that the president's directive "raises serious concerns about whether national security decisions are being driven by careful analysis or political considerations." 

 

V. The OpenAI Counterfactual: Architecture Versus Principle 

The speed with which OpenAI secured a Pentagon deal in Anthropic's wake illuminates a critical distinction between two approaches to embedding ethical commitments in AI systems: contractual prohibition versus architectural safety stacks. Anthropic sought to inscribe its red lines in the text of its government contracts—a legalistic approach that makes commitments transparent, auditable, and judicially enforceable. OpenAI secured agreement on nominally identical principles—no mass domestic surveillance, no autonomous weapons—but achieved them through cloud-only deployment, a proprietary safety stack operated by OpenAI personnel, and cleared employees in operational loops. 

OpenAI's approach may, in some respects, provide stronger practical protection: a technical architecture that makes certain uses physically impossible is more robust than a contractual prohibition that a future administration might reinterpret, waive, or litigate. Cloud-only deployment forecloses edge deployment architectures that could enable autonomous weapons in disconnected battlefield environments. Having cleared OpenAI personnel in the loop provides a human accountability mechanism at the point of operational use. Altman's public articulation of the framework was consistent with Anthropic's stated principles, and his call on the DoW to extend the same terms to all AI labs suggests genuine desire for industry-wide alignment rather than competitive opportunism. 

However, the OpenAI model carries its own risks. The authority to define what constitutes a red-line violation remains, under the agreement, with the DoW for the purposes of identifying "lawful use." OpenAI's safety stack, while technically sophisticated, operates under the ultimate oversight of a company that has demonstrated willingness to engage with the military on its terms. Without contractual explicitness, the accountability of the OpenAI arrangement to external review—by Congress, the judiciary, or the public—is structurally weaker than Anthropic's proposed approach. The critical test of the OpenAI framework will come not in peacetime, when the distinction between technically possible and contractually prohibited is largely academic, but in conditions of genuine operational pressure, when military leadership may seek to invoke emergency exceptions to safety constraints that exist primarily as internal company policy rather than binding legal commitments. 

 

VI. The "Enemy Capability" Fallacy and International Dimensions 

A primary justification advanced by the administration is that adversaries—particularly the People's Republic of China—face no comparable moral or commercial constraints on their deployment of AI for surveillance and autonomous weapons. The argument, in its most unadorned form, is that democratic restraint constitutes strategic disadvantage. This reasoning, while superficially compelling in its geopolitical framing, contains multiple structural fallacies that deserve systematic examination. 

First, the comparative capability argument confuses military maximalism with military effectiveness. Autonomous weapons that cannot reliably distinguish combatants from civilians do not confer net tactical advantage; they generate strategic liabilities in the form of civilian casualties, attributability crises, and alliance rupture. The United States' strategic position in any peer or near-peer conflict depends substantially on the coherence and solidarity of its alliance architecture—NATO, the Quad, AUKUS—relationships that are predicated on shared normative commitments to the laws of armed conflict and human rights. Deploying AI systems whose ethical constraints have been removed as a condition of domestic commercial compliance does not strengthen that architecture; it undermines the normative foundation on which it rests. 

Second, the administration's actions risk accelerating the precise dynamic they claim to be resisting. As OpenAI's own all-hands meeting apparently acknowledged, a major concern was "AI-driven surveillance threatening democracy," alongside recognition that national security actors require international surveillance capabilities against adversaries. These are genuinely competing values requiring careful calibration—not binary choices between total compliance and total restriction. By designating Anthropic a supply-chain risk for attempting that calibration, the administration signals to the entire AI industry that principled engagement with government on safety norms is commercially suicidal. The rational industry response is to retreat from explicit safety commitments—a race to the bottom that benefits China's strategic position rather than constraining it. 

Third, the international signaling effects of the designation are deeply damaging. G7 partners—particularly the European Union, which is developing its own AI regulatory architecture under the EU AI Act, and the United Kingdom, which has invested substantially in responsible AI governance through its AI Safety Institute—have observed an American administration use the national security apparatus to coerce a domestic AI company into removing safety constraints. This provides precisely the precedent that autocratic competitors will cite to justify their own absence of AI safety commitments, while simultaneously eroding the credibility of U.S. advocacy for responsible AI governance in multilateral forums. 

 

VII. Bayesian Game Theory Analysis: Strategic Scenarios and Equilibria 

The Anthropic-DoW confrontation can be productively modeled as a multi-player Bayesian game in which the Government, Anthropic, and competitor AI firms hold private information about their technical capabilities, strategic resolve, and the true ground truth of AI reliability in military applications. The following scenarios represent plausible equilibrium trajectories given the current state of play as of March 1, 2026. 

Scenario A: The Compliance Trap (Dominant Equilibrium Under Current Conditions) 

If the government's supply-chain-risk designation and associated market exclusion pressure persist without judicial relief, AI labs may conclude that safety commitments constitute an existential commercial liability in the U.S. government market. The dominant strategy becomes maximal contractual compliance with minimal public transparency about the nature of safety stack limitations. The short-term government gain—tactical control over AI deployment—is offset by long-term degradation: safety-focused researchers migrate to non-aligned commercial or international environments, and the U.S. military ultimately relies on models that are contractually compliant but technically inferior and ethically unreflective. This is the scenario in which the administration "wins" the negotiation and loses the AI race. 

Scenario B: The Silicon Insurrection (Partial Equilibrium Under Industry Solidarity) 

The rapid expression of industry solidarity with Anthropic's position—hundreds of Google and OpenAI employees signing open letters, Altman's public articulation of shared red lines, Nvidia CEO Jensen Huang's careful neutrality—suggests that a partial form of this scenario is already operative. If the designation triggers a broader industry movement toward explicit safety commitments as a reputational and recruitment signal, the government faces a market in which it must either negotiate with safety-committed firms or build in-house capacity. In-house AI development at the scale required for frontier capability deployment would cost orders of magnitude more than commercial licensing and would likely produce technically inferior systems. This scenario's resolution depends heavily on whether the legal challenge succeeds and whether Congress—which the Senate Armed Services Committee has already signaled some concern—provides legislative clarity on the boundaries of supply-chain-risk authority. 

Scenario C: The Negotiated Framework (Resolution via Legislative Architecture) 

The most durable resolution involves legislative rather than executive action. The Senate Armed Services Committee's bipartisan letter to both Anthropic and the Pentagon, urging resolution and acknowledging that "the issue of lawful use requires additional work by all stakeholders," provides the institutional foundation for a legislative framework. Such a framework would replace the binary compliance-or-exclusion dynamic with a "Certified Use Framework" under which AI firms could qualify for government contracts by demonstrating that their safety architectures meet defined minimum standards for autonomous weapons safeguards and surveillance prohibitions—standards established by Congress rather than negotiated bilaterally under executive pressure. This approach would preserve both the military's operational flexibility and the private sector's structural role as an accountability mechanism on government use of AI. 

 

VIII. Toward an International Architecture: The G7 Digital Sovereignty Charter 

Beyond domestic legislative solutions, the Anthropic crisis reveals the urgent need for multilateral governance frameworks that can constrain the race-to-the-bottom dynamics inherent in unilateral national security AI procurement. We propose that the G7 nations formally negotiate and adopt a Digital Sovereignty Charter encompassing the following non-negotiable structural pillars: 

Pillar I: The Meaningful Human Control Mandate 

A binding international protocol requiring Meaningful Human Control (MHC) for any AI system capable of directing kinetic force—including the identification, selection, and engagement of targets. MHC should be defined not merely as a human "in the loop" in a nominal sense, but as a human with genuine capacity to understand, evaluate, and override AI-generated recommendations within operationally realistic time constraints. This standard would directly address both the reliability gap in current frontier AI systems and the accountability gap under international humanitarian law. It would align with existing consensus positions in the International Committee of the Red Cross's framework on autonomous weapons and provide a normative basis for engaging China and Russia in future arms control discussions. 

Pillar II: Privacy Reciprocity and Judicial Oversight 

A prohibition on the use of generative AI for the mass automated classification or behavioral scoring of citizens without individualized, time-limited judicial authorization. This pillar would require signatory governments to establish independent judicial review mechanisms for AI-assisted domestic intelligence operations, creating procedural requirements analogous to traditional warrant requirements but adapted to the population-scale capabilities of agentic AI systems. Critically, this pillar would establish reciprocity: signatories would commit not only to restricting their own surveillance AI but to prohibiting the use of AI systems trained on citizens of other signatories without equivalent judicial oversight. 

Pillar III: Market Pluralism and AUP Protection 

Legislative and treaty-level protections preventing the weaponization of national security procurement authorities against domestic firms that maintain substantive AI safety policies. Specifically, supply-chain-risk designations should be subject to expedited judicial review, mandatory exhaustion of alternative remedies, and explicit legislative prohibition on their use as retaliation for refusal to remove safety constraints. This pillar would protect the structural role of the private sector as an accountability mechanism in AI governance—a role that the Anthropic case demonstrates is both valuable and vulnerable. 

Together, these pillars would constitute a "G7 Certified AI Partner" framework under which qualifying AI firms could deploy in government environments with legal clarity about the boundaries of permissible use—boundaries established by international agreement rather than bilateral executive negotiation under duress. 

 

IX. The Anthropic Paradox: Responsible Scaling in a Coercive Environment 

The Anthropic-DoW crisis coincided with an internal evolution in Anthropic's own safety framework that warrants attention. In the same week as the Pentagon confrontation, Anthropic announced a revised version of its Responsible Scaling Policy, dropping a previous commitment that it would not release an AI system unless it could guarantee adequate safety measures. Chief Science Officer Jared Kaplan acknowledged to Time Magazine that unilateral pause on model development while competitors proceeded without safeguards would not serve the goal of making AI development safer overall. 

This evolution reflects a genuine strategic tension at the core of safety-focused AI development: the "responsible scaling" imperative—developing and deploying capability at competitive pace to ensure that safety-conscious actors remain frontier participants—can conflict with the "safety-first" imperative of refusing deployment until safety can be affirmatively guaranteed. Anthropic's revised policy attempts to thread this needle by separating company-level safety commitments from industry-level advocacy—continuing to prioritize safety in its own models while acknowledging that unilateral restraint in a competitive market would simply cede the frontier to less safety-conscious actors. 

The DoW crisis illuminates why this strategic positioning matters. Anthropic was the only frontier AI company whose models were deployed on classified government networks. Its presence in that environment—precisely because it maintained substantive safety commitments—constituted a form of responsible engagement that its removal now forecloses. The designation does not remove AI from the classified military environment; it replaces a safety-committed provider with one whose commitments, however sincerely held by current leadership, are structurally less embedded in enforceable architecture. The paradox is that the government's attempt to maximize its AI capabilities by removing safety constraints may have reduced the overall safety profile of AI in its most sensitive deployments. 

 

X. Conclusion: A Constitutional Inflection Point 

The designation of Anthropic as a supply-chain risk for maintaining constitutional safeguards is not, in the final analysis, merely a contractual dispute between a technology company and its largest customer. It is a constitutional inflection point: the first time an American administration has deployed national security procurement authority to coerce a domestic company into removing technical safeguards against mass surveillance and autonomous lethal force. The precedent it sets—that principled commercial refusal to remove safety constraints constitutes a national security risk—is one that will shape the relationship between the state and the AI industry for years beyond the immediate dispute. 

The geopolitical stakes are equally high. The United States' claim to leadership of the liberal-democratic world order rests substantially on its commitment to the rule of law, individual rights, and accountable governance. An administration that deploys the supply-chain-risk mechanism against a domestic company for insisting that its AI not be used to surveil American citizens or kill without human judgment has substantially compromised that claim—not in the abstract realm of diplomatic rhetoric, but in the concrete and observable domain of technology policy that G7 partners, adversaries, and international institutions will interpret as evidence of American values in practice. 

The resolution lies neither in unconditional compliance—which would destroy the private sector's function as an accountability mechanism and accelerate a race to the bottom in AI safety—nor in simple commercial resistance, which faces the structural disadvantages of market exclusion and litigation timelines measured in years. It lies in the construction of durable legislative and international frameworks that preserve both the military's legitimate security needs and the democratic values that justify its existence: frameworks in which meaningful human control, judicial oversight of surveillance, and market pluralism are not optional features of AI governance but structural requirements of it. 

If the G7 allows the security-first logic of the Department of War to override the human-rights-first logic of the digital age without constructing such frameworks, it risks not merely ceding the moral high ground of the 21st century to the autocracies it seeks to outcompete, but replicating their essential architecture: surveillance at scale, force without accountability, and technology in service of state power unchecked by law. The Silicon Schism is, ultimately, a test of whether democratic institutions can govern transformative technology on democratic terms. 

 

Note on Sources 

This analysis draws exclusively on primary sources and verified reporting as of March 1, 2026, including: public statements by Dario Amodei (Anthropic), Pete Hegseth (DoW), Sam Altman (OpenAI), Senator Mark Warner, and Gregory Allen (CSIS); official statements from Anthropic PBC and OpenAI; reporting by NPR, CNN, CBS News, NBC News, ABC News, Fortune, Axios, Bloomberg, The Hill, and Euronews; and public posts on X and Truth Social by relevant principals. The OpenAI Department of War agreement FAQ was reviewed at openai.com.