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Tuesday, 17 February 2026

The Iran–United States Geostrategic Crisis: Geneva Talks, Escalation Dynamics, and Scenario Analysis:



A Strategic Intelligence Assessment  



I. Introduction: The Deep Architecture of Antagonism

The confrontation between the Islamic Republic of Iran and the United States is not a contemporary phenomenon triggered by a single provocation or miscalculation. It is the culmination of nearly five decades of structural grievance, ideological divergence, and strategic competition that has repeatedly resisted resolution. Understanding the Geneva talks of February 17, 2026 — where US Special Envoy Steve Witkoff and Jared Kushner met indirectly with Iranian Foreign Minister Abbas Araghchi under Omani mediation — requires situating today's diplomacy within its full historical and structural context.

The roots of the rupture trace to 1953, when the CIA and British intelligence orchestrated the overthrow of Prime Minister Mohammad Mosaddegh, who had nationalized Iran's oil industry. The coup restored the Shah, Mohammad Reza Pahlavi, and inaugurated a quarter-century of American-backed monarchical rule that was experienced by much of Iranian society as humiliation, dependence, and repression. The 1979 Islamic Revolution was, in significant part, a revolution against that relationship. When revolutionary students seized the US Embassy in Tehran and held 52 Americans hostage for 444 days, the rupture became irreversible. The two states have had no formal diplomatic relations since.

The antagonism deepened across several discrete phases. During the 1980–1988 Iran-Iraq War, Washington tilted toward Saddam Hussein, providing intelligence and looking the other way as Iraqi forces deployed chemical weapons against Iranian troops. In 1988, the USS Vincennes shot down Iran Air Flight 655, killing 290 civilians; the captain was subsequently awarded a medal. These episodes are not historical footnotes in Tehran — they are constitutive of how the Islamic Republic understands American intentions.

The nuclear dimension emerged in earnest in the early 2000s. Iran's clandestine enrichment program was revealed in 2002, and a decade of sanctions, covert sabotage (including the Stuxnet cyberattack, widely attributed to the US and Israel), and diplomatic pressure followed. The 2015 Joint Comprehensive Plan of Action (JCPOA) briefly stabilized the relationship, only for the Trump administration to unilaterally withdraw in May 2018 and reimpose sweeping sanctions under the "maximum pressure" doctrine. The subsequent "maximum resistance" policy from Tehran accelerated uranium enrichment toward weapons-grade levels, undermined remaining IAEA inspections, and reinvigorated proxy engagement across the Levant, Iraq, and Yemen.

The present crisis carries an additional, unprecedented element: in June 2025, Israel launched a 12-day war against Iran and, critically, was joined by the United States in bombing Iranian nuclear facilities. These strikes constituted the first direct US military attack on Iranian territory and demolished the JCPOA's successor negotiations that had been under way at the time. Since then, Iran has accelerated missile infrastructure reconstruction, installed Chinese anti-stealth radar systems, deepened its alignment with Russia and China, and faced domestic unrest driven by economic collapse and street protests suppressed at the cost of thousands of lives.

It is against this backdrop — a dyadic relationship defined by structural mistrust, asymmetric capability, and overlapping red lines — that the Geneva talks of February 17, 2026 must be assessed.


II. The Geneva Talks: Context and Outcome

The February 17 talks in Geneva were the second round of indirect negotiations, following a first round in Muscat in early February. Both rounds were facilitated by Oman, which has historically served as the back-channel interlocutor between Washington and Tehran. The US delegation, led by Witkoff and Kushner, met Iranian representatives at the Omani consulate in Chambésy, a suburb of Geneva; the two delegations did not sit in the same room, exchanging positions through Omani intermediaries across approximately three and a half hours of indirect discussion.

The diplomatic outcome was carefully worded but substantively fragile. Iranian Foreign Minister Araghchi stated that the two sides had "reached a general agreement on a set of guiding principles" and that Iran would "move toward drafting a potential agreement" on this basis. A US official described the outcome as "progress" while noting that "there are still a lot of details to discuss." Iran committed to returning within two weeks with "detailed proposals to address some of the open gaps in our positions." Secretary of State Marco Rubio, speaking from Budapest, expressed hope for a deal without prejudging the talks. President Trump, speaking aboard Air Force One the previous evening, said he would be "involved indirectly" and characterized Iran as "a very tough negotiator."

The divergence in framing was significant and analytically important. The Iranian side claimed a "general agreement" and insisted the talks be confined to the nuclear file in exchange for comprehensive sanctions relief. The American side — particularly hardliners including Rubio and elements within the national security apparatus — had previously insisted that any deal must address three "pillars": uranium enrichment, Iran's ballistic missile program, and Tehran's support for regional proxy forces. The Iranians categorically rejected the latter two. Araghchi's post-talks statement that "what is not on the table is submission before threats" defined the political constraints within which Tehran's negotiators were operating.

Critically, the institutional tension within the US delegation was evident. Asia Times reported that Witkoff may have agreed to a narrower "framework" — centered principally on the nuclear file — that falls short of the Trump-Rubio pillars, a pattern that echoes Witkoff's January 6 experience in Paris when he appeared ready to sign a European Ukraine proposal before being overruled by Trump. Whether the Geneva framework will be endorsed, renegotiated, or repudiated by Washington in the coming two weeks is one of the central variables shaping the scenarios below.

The military backdrop to the diplomatic activity was electrifying. As the talks proceeded, Iran's IRGC announced a partial, temporary closure of the Strait of Hormuz for live-fire naval exercises — the first such closure since the Iran-Iraq war of the 1980s. IRGC Navy chief Alireza Tangsiri, speaking from the deck of a warship, stated his forces were ready to fully close the waterway on order. Russia and China deployed naval vessels to the strait for "Maritime Security Belt 2026" joint exercises. The USS Abraham Lincoln carrier strike group was positioned approximately 700 kilometers from the Iranian coast. The USS Gerald R. Ford, the world's largest aircraft carrier, was en route and expected to arrive in the first week of March. An estimated 50,000 US troops were deployed across the broader Middle East, the highest concentration in years. Supreme Leader Ayatollah Khamenei, speaking the same day as the Geneva talks, delivered an unmistakable signal: a warship "is certainly a dangerous weapon, but even more dangerous is the weapon capable of sinking it."

The combination of diplomatic guiding principles and simultaneous military demonstrability is not accidental. It is a deliberate dual-track posture: negotiating while brandishing, coercing while signaling resolve. Strategically, each side is attempting to optimize its bargaining position through Schelling-ian commitment mechanisms — credible threats designed to shift the reservation price of the other party. The analytical challenge is to assess, rigorously, how this dual-track dynamic is likely to evolve.


III. Analytical Framework: Bayesian Learning in a Game-Theoretic Context

The interactions between the United States and Iran can be formally modeled as an incomplete information game in which each player holds private beliefs about the other's type — specifically, whether the adversary is a genuine negotiator or a strategic delayer — and updates those beliefs as new information arrives. This is the domain of Bayesian learning under strategic uncertainty, a framework developed principally by Harsanyi (1967–68) and extended through the work of Kreps, Wilson, and Fudenberg into repeated game settings with reputation effects.

The core insight is that in such games, observed actions serve a dual purpose: they advance the material agenda and they signal type. Iran's temporary closure of the Strait on the day of the Geneva talks was not merely a military exercise; it was a costly signal intended to communicate resolve and prevent the United States from inferring that Iran is a "weak" type willing to capitulate under military pressure. Conversely, the US deployment of two carrier strike groups — while maintaining open diplomatic channels — is an attempt to shift Iran's prior beliefs toward concluding that military action is both credible and imminent enough to make a deal rational.

In Bayesian terms, the "posterior probability" of any given scenario depends on the players' prior beliefs, the incoming signals, and the information structure of the game. What follows is a scenario-by-scenario analysis employing this framework, with probabilistic assessments grounded in observable evidence as of February 17, 2026.


IV. Scenario Analysis


Scenario 1: A Comprehensive or Interim Nuclear Agreement

Structural conditions. A deal requires both parties to hold a type consistent with genuine preference for agreement over the BATNA (Best Alternative to Negotiated Agreement). For Iran, the BATNA is continued economic strangulation under maximum pressure sanctions, domestic instability, and the risk of further military strikes. For the US, the BATNA is a military operation whose costs — in lives, oil market disruption, regional conflagration, and grand-strategic overstretch — are substantial. Both BATNAs are costly, which creates a zone of potential agreement (ZOPA).

Signals supporting convergence. The "guiding principles" agreement at Geneva, Araghchi's characterization of discussions as "serious" and "constructive," Iran's commitment to return with detailed proposals within two weeks, and the relatively positive oil market reaction (Brent crude fell approximately 2.3% after talks concluded, pricing in reduced war risk) all point toward at least a narrow path to an interim agreement.

Signals against a durable deal. The scope divergence is severe. Tehran insists on zero discussion of missiles or proxies and demands comprehensive sanctions relief as a precondition for any enrichment constraints. Washington has publicly and repeatedly stated that enrichment limits, missile constraints, and proxy reduction are all non-negotiable. These are not reconcilable positions in a single negotiating round. The Witkoff-Rubio tension, if genuine, means the US itself lacks a coherent internal preference, making credible commitment structurally difficult. Khamenei's same-day bellicosity signals that the Supreme Leader — whose approval is required for any deal — remains deeply skeptical if not hostile. Trump's vague one-month timeline introduces exogenous pressure that could collapse the diplomatic track regardless of technical progress.

Bayesian assessment. A narrow interim agreement focused exclusively on nuclear parameters — some enrichment cap in exchange for partial sanctions relief — is the most plausible near-term "deal" scenario, with a posterior probability of approximately 30–35%. A comprehensive agreement addressing all three pillars is effectively precluded within any near-term timeframe; its probability is below 5%. The base rate for successful US-Iran diplomatic breakthroughs in the post-JCPOA era is poor. The most likely outcome of the current negotiating track is a continuation of talks — a "process without agreement" — that delays but does not resolve the underlying confrontation.


Scenario 2: A Short-Duration Limited US Military Operation

Structural conditions. A bounded US military strike — targeted at residual nuclear infrastructure, IRGC command nodes, or missile production facilities — remains a live option. Trump has publicly referenced the June 2025 B-2 strikes as a template and has explicitly tied military action to diplomatic failure. The USS Gerald R. Ford's anticipated arrival in the Arabian Sea in the first week of March creates a natural operational window. The language of "indulging diplomacy" only so long circulates in Washington and has been noted by independent analysts.

Escalation dynamics. A US-only strike, calibrated to avoid Iranian population centers and framed as a non-regime-change operation, is the form of military action most consistent with the coercive bargaining theory implicit in Trump's posture. The logic is that strikes raise the cost of non-cooperation to the point where even a hardline regime rationally prefers negotiation. Iran has, however, shifted its declared military doctrine to "offensive," and IRGC commander General Pakpour has stated that his forces have their "finger on the trigger." A US strike would almost certainly trigger a multi-vector Iranian response: ballistic and cruise missile attacks on US bases in the region (with approximately 50,000 US personnel at risk), drone swarm engagement, proxy activation in Iraq and Yemen, and Strait of Hormuz operational interference.

Bayesian assessment. The probability of a US-initiated limited strike within a 60-day window (approximately the deployment window of the Gerald R. Ford) is estimated at 25–30% conditional on diplomatic failure, or approximately 15–20% unconditionally given current negotiating momentum. This is not a remote contingency. The critical threshold is Trump's subjective determination that negotiations are being used by Iran as a stalling device — a belief that Khamenei's same-day rhetorical escalation has substantially nourished. The short-war scenario is self-limiting in concept but historically prone to becoming protracted, as Iran's asymmetric response capabilities — particularly its proxy network and anti-access/area-denial systems in the Gulf — could sustain a conflict well beyond any initial US operational horizon.


Scenario 3: An Israeli Unilateral Military Strike

Structural conditions. Israel conducted its June 2025 strikes under a strategic logic of preventive action — degrading Iranian nuclear capability before it reached a threshold deemed unacceptable. Despite those strikes, satellite imagery as of February 2026 shows Iran accelerating reconstruction of missile sites and burying the entrance to the Isfahan nuclear facility in fortified tunnels. Israel's Institute for National Security Studies analyst Danny Citrinowicz notes that Iran's closure of the Strait was understood in Tel Aviv as a message that any attack would carry global consequences — a signal designed in part to deter Israeli action.

Divergence from US policy. Israel's strategic calculus is not identical to Washington's. Tel Aviv is more acutely focused on the nuclear threshold — enrichment levels, breakout time, and weaponization capability — than on the proxy and missile dimensions that are Washington's primary concerns. An Israeli strike could occur independently of, or even contrary to, US diplomatic preferences, potentially derailing Geneva-track negotiations and confronting Washington with a fait accompli that forces it to either support Israel or distance itself at severe cost to the bilateral relationship.

Bayesian assessment. An Israeli unilateral strike has a posterior probability of approximately 15–20% within a six-month window. This probability increases sharply if negotiations collapse without a deal and Iran resumes unconstrained enrichment, or if Israeli intelligence determines that Iran is approaching a breakout timeline that cannot be addressed through US-led diplomacy. The June 2025 precedent demonstrates that Israel is willing to act despite diplomatic objections, and the fortification of Iranian nuclear sites reduces the window of effective strike opportunity over time, creating a "use it or lose it" dynamic for Israeli planners.


Scenario 4: Closure of the Strait of Hormuz

Structural conditions. The Strait of Hormuz is the most critical energy chokepoint on earth, through which approximately 20% of the world's oil supply and a substantial fraction of global LNG transits daily. Iran has long held the threat of closure as its most potent asymmetric card. On February 17, 2026, the IRGC announced a partial, temporary closure for exercises — a graduated signal rather than a full closure. IRGC Navy chief Tangsiri stated explicitly that full closure could be ordered by leadership.

Strategic logic. A sustained Strait closure would be a maximum-escalation act with global economic consequences. Brent crude would spike sharply — estimates for a two-week closure range from $20–40/barrel above current levels, with acute impacts on Asian economies, particularly Japan, South Korea, India, and China, which collectively depend on Gulf exports for the majority of their hydrocarbon imports. The presence of Russian and Chinese naval vessels in the strait as part of Maritime Security Belt 2026 complicates any US attempt to force reopening through mine-clearing or naval pressure without risk of direct confrontation with a nuclear power.

Constraints on Iranian action. A sustained closure is a double-edged weapon. Iran itself exports oil through the Strait (via its ghost fleet), and closure would accelerate the economic pressure it is already seeking relief from. It would also provide unambiguous casus belli for US military action enjoying broad international legitimacy, and could fracture the China-Iran relationship — Beijing, as the principal buyer of Iranian oil, has a material interest in the Strait's openness. Iran's rational use of the Strait threat is as a deterrent and a coercive signal, not as a weapon it actually deploys outside of a full-war scenario.

Bayesian assessment. A sustained, full closure of the Strait in the absence of active military conflict has a posterior probability of approximately 8–12%. It rises sharply — to 60–70% — if the US conducts major military strikes on Iranian territory, as the Strait would become the primary Iranian retaliatory instrument with global leverage. Partial, temporary, and demonstrative closures — as observed on February 17 — are likely to recur with moderate frequency (probability 50–60% of recurrence within three months) as Iran continues its dual-track signaling strategy.


Scenario 5: Strategic Miscalculation and Inadvertent Escalation

Structural conditions. Miscalculation is perhaps the most underappreciated risk in the current environment. The coexistence of active naval exercises, carrier strike groups at operational range, IRGC fast boats with a recent history of attempting to seize US-flagged vessels, drone activity in close proximity to US assets, and the absence of any direct diplomatic channel between military commands creates a systemic accident-proneness that formal game theory tends to underweight.

Historical analogues. The 1988 USS Vincennes incident — where a US cruiser misidentified an Iranian civilian airliner as a military threat and shot it down — occurred precisely in the context of elevated naval tensions in the Persian Gulf. The June 2025 Israeli strikes that derailed the previous round of US-Iran negotiations reportedly had an element of timing surprise that disrupted the diplomatic track. The February 3, 2026 IRGC attempt to seize a US-flagged tanker in the Strait, interdicted by the USS McFaul, was itself a near-incident that could have escalated.

Bayesian learning failure. In environments of high information asymmetry and rapid operational tempo, Bayesian updating can fail. Each side's assessment of the other's red lines may be systematically incorrect, particularly when leadership signals are internally contradictory — as they are in Iran, where Araghchi speaks of a "new window" for agreement while Khamenei threatens to sink warships, and in the US, where Witkoff may have agreed to a narrower framework than Rubio's stated pillars require. If both sides incorrectly infer from the other's behavior that the adversary is bluffing, and neither is, the result is escalation neither party deliberately chose.

Bayesian assessment. The probability of a significant incident born of miscalculation — not deliberate policy — within a 90-day window is assessed at approximately 25–35%. This is the highest-risk vector in terms of involuntary escalation. The structural parallels to the 1914 mobilization cascade are not exact but are analytically relevant: multiple actors each taking individually rational steps under uncertainty generate collectively catastrophic outcomes.


Scenario 6: Iran Threatening to Sink an American Warship — Signaling vs. Action

Current evidence. On February 17, 2026, Khamenei stated directly and publicly that Iran possesses weapons capable of "sending a US warship to the bottom of the sea." IRGC commander Pakpour stated that his forces have their "finger on the trigger." These are not ambiguous communications. Iran's arsenal of anti-ship weapons is substantial: the Noor and Qadir shore-based anti-ship missiles, the Ra'ad and Nasir variants, fast-attack boat swarm tactics, and — most significantly — the Qader and Khalij Fars anti-ship ballistic missiles, which present a novel challenge for US Aegis defenses due to their terminal-phase maneuverability.

Signaling theory. Within the Bayesian framework, the sinking threat serves primarily as a costly signal of resolve designed to deter US military action. It communicates that Iran's response to a strike would not be limited to token retaliation but would target the most visible and symbolic US military assets — an aircraft carrier. The destruction of an American carrier group would be an event without precedent in the post-World War II era, carrying immense political, psychological, and escalatory consequences. The very credibility of the threat is what gives it deterrent value; Iran does not need to act on it for it to shape US decision-making.

Bayesian assessment. The probability of Iran deliberately sinking an American warship absent prior US military strikes is very low — approximately 3–5%. This would constitute an act of war with catastrophic consequences for the Islamic Republic, and Iran's leadership is not irrational. However, the probability rises substantially — to perhaps 25–35% — if the US conducts major strikes on Iranian territory, under a retaliatory logic in which the costs of inaction (regime delegitimization) exceed the costs of response. The most dangerous pathway is an accidental or low-level escalation — an IRGC boat attack on a destroyer, or a drone strike on a carrier's flight deck — that occurs below the deliberate "sink the carrier" threshold but generates a US response that triggers the full escalation ladder.


Scenario 7: China Entering the Gulf

Structural conditions. China has approximately $600 billion in annual trade transiting the Strait of Hormuz, is Iran's largest oil customer, and has been progressively deepening its strategic-economic presence in the Persian Gulf through the China-Iran 25-year Comprehensive Strategic Partnership signed in 2021. Chinese naval vessels participated in Maritime Security Belt 2026 joint exercises in the Strait as of the week of February 17, 2026. The Chinese YLC-8B anti-stealth surveillance radar has reportedly been deployed to Iranian territory.

Strategic interests and constraints. China's primary interest in the Gulf is commercial and supply-chain stability, not Iranian territorial integrity per se. Beijing has carefully avoided any formal military commitment to Tehran's defense. Its naval presence in the exercises is a political signal — asserting the illegitimacy of US unilateralism — rather than a genuine military alliance. In the event of US-Iran military conflict, China would almost certainly use its UN Security Council veto to block any resolution authorizing US action, conduct significant information warfare and diplomatic pressure, and potentially deploy additional naval assets to the region, raising the operational costs of US action without directly confronting US forces.

Bayesian assessment. The probability of China entering Gulf waters with a significant naval presence in response to a US-Iran conflict is approximately 40–50%. The probability of China engaging US forces directly is approximately 3–5% — militarily and economically suicidal for both parties, and inconsistent with Chinese strategic culture's preference for indirect pressure. China's entry would take the form of intensified diplomatic, economic, and informational warfare, potential arms supply to Iran, and naval patrols that complicate US freedom of maneuver without constituting belligerence. The strategic significance is that US military planners would need to factor in a simultaneous South China Sea or Taiwan contingency calculus, substantially increasing the cost of Iran military action in Washington's strategic ledger.


Scenario 8: Russian, European, and Japanese Responses

Russia. Moscow has a complex but increasingly aligned relationship with Tehran. Iran has supplied Russia with Shahed drones in large numbers for use in Ukraine. Russia's Nikolay Patrushev publicly endorsed Maritime Security Belt 2026, framing it within a BRICS maritime security doctrine. Russia offered to store and process Iranian enriched uranium as part of a diplomatic framework. If the US strikes Iran, Russia will veto any UN Security Council authorization, conduct intensive propaganda and diplomatic isolation campaigns against Washington, potentially accelerate arms transfers to Iran, and use the crisis to divert Western attention from Ukraine. The probability of direct Russian military involvement is negligible — estimated at under 2% — given the Ukraine war's ongoing demands on Russian military capacity and the catastrophic risks of direct great-power confrontation.

Europe. The E3 (France, Germany, United Kingdom) remain formally committed to the JCPOA framework's spirit and have been concerned by the collapse of multilateral nuclear diplomacy since the 2018 US withdrawal. European governments would uniformly prefer a negotiated outcome and would pressure Washington against unilateral military action. A US strike would create significant transatlantic friction, particularly if conducted without prior consultation. However, Europe's capacity to materially constrain US policy is limited — it has no military capability to defend Iran, and its economic interests in preventing Strait closure create some alignment with US goals. European states would likely attempt to resume multilateral diplomacy in the immediate aftermath of any military action, positioning themselves as a "bridge" for eventual de-escalation. The probability of European military engagement in any Iran scenario is approximately 0–2%.

Japan. Japan imports approximately 87% of its oil from Middle Eastern sources, making a Strait closure an existential economic event. Tokyo would exercise extreme pressure on Washington to avoid military action and pursue diplomatic resolution, including potentially deploying diplomatic capital through its unique security alliance relationship. In the event of Strait closure, Japan faces oil price shocks of potentially catastrophic scale for an already fragile economy. Tokyo would likely invoke emergency oil reserve drawdowns, coordinate with the IEA, and deploy diplomatic assets to all major parties. Japan's military engagement probability is negligible — approximately 0–1% — but its economic vulnerability makes it a powerful indirect stakeholder in the diplomatic outcome.


V. Integrated Strategic Assessment

The scenario analysis above suggests a probabilistic distribution that is deeply unstable. The most likely single outcome — a continuation of diplomatic talks without a binding agreement, accompanied by periodic military signaling — carries a posterior probability of approximately 35–40%. But the cumulative probability of some form of significant military incident — whether a deliberate US strike, an Israeli attack, an Iranian miscalculation, or a Strait closure in a conflict context — is approximately 50–60% within a six-month horizon.

Several structural dynamics reinforce this instability. First, the information asymmetry between Washington's internal divisions (Witkoff's apparent flexibility versus Rubio's stated pillars) and Tehran's internal divisions (Araghchi's diplomatic optimism versus Khamenei's rhetorical belligerence) creates a double-layered uncertainty in which neither principal government can form a reliable posterior about the other's actual red lines. This is a classic condition for miscalculation.

Second, the simultaneous presence of Russian and Chinese naval assets in the Strait — regardless of their defensive posture — introduces a third-party variable that significantly complicates US operational planning. Any kinetic US action that accidentally or incidentally harms Russian or Chinese assets risks triggering a response ladder outside the dyadic Iran-US framework entirely. The risk is not that Moscow or Beijing will fight for Tehran; it is that the operational complexity they introduce creates additional pathways for miscalculation.

Third, Trump's self-imposed one-month timeline, combined with the operational arrival of the USS Gerald R. Ford in early March, creates a structural commitment device. As Schelling observed, credible threats require that the threatener be perceived as unable to back down costlessly. Trump has made sufficiently public statements about military action that a diplomatic failure within the next four to six weeks without any military response would carry significant domestic political costs. This dynamic reduces the probability of extended negotiations in the absence of early substantive progress — and the two-week timeline for Iran's "detailed proposals" is unlikely to yield agreement on the core structural disagreements.

Fourth, the domestic political situation within Iran is a variable whose effect on Bayesian updating runs in ambiguous directions. The street protests, suppressed at great cost, have weakened the regime's legitimacy but also created incentives for external belligerence as a nationalist unifying mechanism. Khamenei's public tone suggests he is more focused on regime survival through defiance than through accommodation — a posture that is rational from his perspective given that any deal perceived as capitulation could accelerate the domestic challenge to theocratic rule.


VI. Implications and Recommendations for G7 Policy Coordination

The G7 Summit must confront this situation not as a bilateral US-Iran problem but as a systemic risk to global energy security, nuclear non-proliferation architecture, and great-power stability. Several policy implications follow from the analysis above.

On diplomatic coordination, G7 partners should establish a common framework that supports the Omani mediation track while privately pressing Washington to accept a narrower, interim nuclear agreement as a confidence-building measure — rather than insisting on a comprehensive deal that the current structural conditions make impossible. The E3's historical role as JCPOA architects gives them credibility with Iran that Washington currently lacks. A G7-endorsed interim framework — potentially involving IAEA-monitored enrichment caps in exchange for partial, reversible sanctions relief — represents the highest-probability path to averting military conflict.

On energy security, the possibility of Strait disruption requires immediate G7 coordination on strategic petroleum reserve drawdown protocols, LNG supply rerouting, and emergency demand management. Japan, South Korea, and the broader Asia-Pacific G7 partner base are acutely vulnerable and should be integrated into any emergency response planning.

On the nuclear non-proliferation dimension, a failure of the Geneva track — particularly if followed by resumed Iranian enrichment at weapons-grade levels — would constitute the most serious blow to the Non-Proliferation Treaty regime since the North Korean withdrawal of 2003. G7 states should prepare a joint statement affirming that Iran's permanent non-weaponization is a global, not merely bilateral, interest, while distinguishing this from opposition to civilian enrichment rights — a distinction that Tehran has repeatedly emphasized as foundational to any deal.

On the Russia-China dimension, G7 members should recognize that the maritime exercises in the Strait represent not a military alliance but a strategic positioning that Beijing and Moscow can exploit to constrain US options. Quiet engagement with Beijing through existing trade and financial channels — emphasizing China's own vulnerability to Strait closure — may generate more useful behavioral moderation from Beijing than public confrontation.

Finally, on the miscalculation risk, the G7 should encourage the establishment of direct military-to-military communication channels between US Central Command and its Iranian counterparts — a measure that does not require diplomatic normalization and could prevent a catastrophic incident from triggering an unintended war. The absence of any such channel is a structural vulnerability that responsible statecraft should urgently address.


VII. Conclusion

The Geneva talks of February 17, 2026 represent a genuine but fragile diplomatic opening in what has otherwise been a crisis trajectory characterized by military buildup, nuclear hedging, proxy conflict, and mutual threat. The "guiding principles" language agreed by the parties is a necessary but far from sufficient condition for preventing escalation. The Bayesian analysis presented in this report suggests that the probability of meaningful diplomatic progress is real but moderate — approximately 30–35% for an interim deal — while the cumulative risk of some form of military incident within a six-month window approaches or exceeds 50%.

The simultaneous presence of Russian and Chinese naval assets in the Strait of Hormuz, the IRGC's partial closure of that waterway on the same day as the talks, Khamenei's threat to sink US warships, and the imminent arrival of a second US carrier battle group all signal that the structural incentives for conflict are gathering momentum even as the diplomatic track remains open. The G7 has a narrow window — measured in weeks rather than months — to reinforce the diplomatic track, prepare for energy supply disruption, and coordinate a framework that gives both Washington and Tehran a credible path to a face-saving interim agreement before the operational clock of Trump's self-imposed deadline and the Gerald R. Ford's deployment window closes.

The historical lesson of Iran-US relations is that the costs of failure are always higher than anticipated, and the windows for resolution always narrower than they appear. The G7 Summit should treat this assessment not as a forecast of inevitability but as a call to urgent, coordinated diplomatic action.




Monday, 16 February 2026

THE NEUTRAL RATE (r∗) as an Economic Signal and Policy Anchor

I. Introduction: The Ghost in the Machine

The neutral rate of interest — r∗, spoken aloud as “r-star” — is defined as the real short-term policy rate consistent with full employment and stable inflation over the medium term. It is the gravitational centre of modern monetary policy: the rate at which the central bank is neither pressing the accelerator nor the brake on an economy running at potential. Yet it is unobservable. It cannot be looked up in a table or read off a market screen. It must be inferred, modelled, estimated — and perpetually argued over.

In early 2026, r∗ has re-emerged as the single most consequential macroeconomic variable confronting the G7. After nearly fifteen years defined by secular disinflation, suppressed equilibrium rates, and the “lower-for-longer” monetary orthodoxy, advanced economies are confronting what appears to be a structural repricing of capital. What was once assumed to be a near-zero equilibrium real rate is now being reassessed upward across the United States, the euro area, the United Kingdom, Canada, and Japan.

The implication is profound. If r∗ has shifted durably higher — as a growing body of evidence and market pricing suggests — then the entire architecture of fiscal sustainability, financial asset valuations, debt dynamics, exchange rate equilibrium, and central bank reaction functions must be recalibrated. The era of costless capital, the era in which governments could borrow on the long run at a real cost near zero, may be drawing to a close. How policymakers locate, communicate, and act upon this moving star will define the macroeconomic decade that follows.

“Our models are telescopes, not truths. They point toward the stars, but they do not create them.”

II. Historical Trajectory: From Secular Stagnation to Structural Repricing

1. The Era of “Lower for Longer” (2008–2021)

Following the 2008 Global Financial Crisis, equilibrium real rates declined sharply across advanced economies. Estimates from central bank research teams and multilateral institutions suggested that r∗ in the United States had fallen from roughly 2 per cent in the 1990s to near zero by the mid-2010s. The pioneer empirical framework — the Laubach-Williams (2003) model, subsequently extended by Holston, Laubach and Williams (2017) to a multi-country context — traced this secular compression through a combination of demographic, productivity, and risk-preference forces that played out over decades rather than years.

Key structural forces drove this decline: a global savings surplus, particularly from East Asian exporters and commodity-producing nations; demographic ageing, raising precautionary savings and compressing the marginal efficiency of capital; weak total factor productivity growth; post-crisis corporate and household deleveraging; and heightened risk aversion suppressing private investment demand. Together these forces produced what Larry Summers, reviving a Hansonian concept, labelled “secular stagnation” — a chronic shortfall of investment demand relative to saving at any positive real rate.

Central banks responded with quantitative easing, forward guidance, and in some cases negative policy rates. The Federal Reserve, European Central Bank, Bank of England, and Bank of Japan all sought to converge market rates toward an inferred equilibrium that appeared close to zero or even below. The consequence was a regime in which r∗ functioned as a floor: any attempt to raise rates meaningfully above it was perceived as contractionary. Financial conditions were persistently accommodative, asset valuations expanded, and fiscal authorities benefited from historically low real borrowing costs.

2. The Pandemic Disruption and the Inflation Shock (2020–2024)

The COVID-19 shock initially reinforced the low-rate paradigm. However, the combination of unprecedented fiscal transfers, supply-chain fragmentation, energy market dislocations driven by the war in Ukraine, labour reallocation, and geopolitical deglobalisation triggered the highest inflation cycle in four decades across the G7.

As central banks executed the fastest tightening cycle since the early 1980s, an unexpected pattern emerged: growth proved more resilient than models calibrated on post-2008 data had predicted. In the United States, real GDP expanded robustly through 2023 and 2024 even as the federal funds rate rose above 5 per cent. Labour markets remained historically tight. Corporate investment, particularly in artificial intelligence infrastructure, surged. This resilience was not what one would expect from an economy operating well above its equilibrium rate — it suggested, powerfully, that the equilibrium rate itself may already have been higher than assumed.

3. The Current Re-rating (2025–2026)

By early 2026, the narrative has shifted decisively. Advanced economies no longer confront a structurally excess savings problem. They face instead a structural surge in capital demand of historically unusual breadth: massive investment in artificial intelligence infrastructure, with major U.S. hyperscalers collectively on track to invest approximately $400 billion in AI capital expenditure in 2025 alone; electrification and grid modernisation under net-zero commitments; defence spending increases following geopolitical fragmentation; semiconductor reshoring and strategic industrial policy; and fiscal deficits that remain elevated relative to pre-pandemic norms.

The result is a capital absorption dynamic that differs fundamentally from the 2010s. Consensus estimates that once placed U.S. real r∗ between 0.5 and 1.0 per cent are increasingly clustering in the 1.5 to 2.5 per cent range. European estimates have similarly shifted, though with slightly lower medians given demographic drag and weaker productivity momentum in the euro area.

III. Intellectual Lineage: Wicksell, Keynes, and Friedman Revisited

The debate over r∗ is not merely technical. It reflects competing philosophies of macroeconomic equilibrium that trace their lineage back more than a century.

Wicksell’s Natural Rate: The Original Formulation

The intellectual origin of r∗ lies with the Swedish economist Knut Wicksell, who in 1898 defined the natural rate of interest as “the rate of interest on loans that is neutral with respect to commodity prices, tending neither to raise nor to lower them.” Wicksell argued that if the market rate of interest were held below the natural rate, credit expansion would drive prices upward; if held above it, deflation would follow. The concept anticipated the Natural Rate Hypothesis by seventy years and provided the essential scaffolding on which modern inflation-targeting central banking is built. The Federal Reserve’s Taylor Rule — the near-universal benchmark for relating the policy rate to inflation and output gaps — implicitly incorporates an estimate of r∗ as its long-run real intercept.

The Keynesian Perspective: Animal Spirits and the Marginal Efficiency of Capital

For John Maynard Keynes, equilibrium rates of interest reflect the “marginal efficiency of capital” — the expected rate of return on investment — which is shaped by psychology, uncertainty, and what he called “animal spirits.” Under this view, r∗ is socially and psychologically contingent rather than determined purely by structural fundamentals. Expectations, once depressed, can become self-fulfilling, trapping an economy in a low-rate, low-investment equilibrium even when the structural fundamentals for higher rates are present.

The post-2008 period was interpreted by Keynesian economists as precisely such a liquidity trap: even zero interest rates failed to stimulate adequate private investment because expectations of future returns remained depressed. From this perspective, today’s upward reassessment of r∗ reflects a genuine revival of investment optimism — driven by AI, the green transition, and defence — that has lifted the marginal efficiency of capital toward levels not seen since the late 1990s technology boom.

The Monetarist and Natural Rate Perspective: Structural Forces

For Milton Friedman, and subsequently Edmund Phelps, the natural rate of interest — like the natural rate of unemployment — is determined by structural economic forces: productivity growth, demographic trends, and intertemporal preferences. Under this framework, if central banks set rates persistently below the natural rate, inflation accelerates; if above it, output contracts. The inflation surge of 2021 to 2023, across all G7 economies simultaneously, offered the most striking empirical validation of the Natural Rate Hypothesis since the stagflation of the 1970s.

IV. The Pirandello Analogy: A Necessary Fiction

The Italian playwright Luigi Pirandello, in his 1921 masterwork Six Characters in Search of an Author, presented characters who possess an authentic inner reality but cannot find the author capable of giving it fixed, external form. r∗ occupies an analogous epistemological position within macroeconomics.

It is conceptually necessary for equilibrium analysis — without a neutral anchor, policymakers cannot distinguish between a restrictive and an accommodative stance. Yet it is empirically invisible: no instrument can directly observe the rate at which an economy is in perfect balance. It is dependent on the “author” — the econometric model — that interprets the available data through a particular theoretical lens. And different models, interpreting the same economic constellation, produce materially different coordinates for the same star.

As of early 2026, the Federal Reserve Bank of New York’s Holston-Laubach-Williams estimate places the U.S. real neutral rate at approximately 0.84 per cent (Q2 2025 data). The Federal Reserve Bank of Richmond’s model estimates it above 2.2 per cent. The Cleveland Fed’s Zaman model places the medium-run nominal neutral rate at 3.7 per cent, and estimates a 77 per cent probability that current policy is in restrictive territory. Market-implied forward rates suggest a long-run nominal neutral near 3 per cent. Meanwhile, RSM’s chief economist places real r∗ at 1.75 to 2 per cent.

Whatever r-star is — whether it’s the New York Fed’s estimate of 1.13%, or the Richmond Fed’s view of 2.2%, or our estimate of 1.75% to 2% — the rate has moved higher, and that is already having a significant impact on America’s real economy. — RSM US, 2025

Yet abandoning the concept would deprive policymakers of any shared reference point for calibrating the stance of policy. The dispersion of estimates is not a reason to discard r∗ but rather a sobering reminder of the uncertainty that must always accompany its application. r∗ is a flawed necessity — but it is a necessity nonetheless.

V. Competing Frameworks Guiding G7 Policy

1. The Productivity-Trend Model (Holston–Laubach–Williams)

Now maintained and published by the Federal Reserve Bank of New York, the HLW framework links the neutral rate to trend potential growth and demographic factors through a semi-structural state-space model. Its current readings — a real neutral rate of approximately 0.84 per cent as of mid-2025 — suggest only a modest rise in r∗ from post-2008 lows, arguing that secular stagnation forces remain structurally operative.

Implication: Real neutral rates in the U.S. are near 1.0–1.3 per cent, lower in the euro area.

Risk: Underestimation of the structural capital demand impulse from AI, defence, and the energy transition. The model’s demographic inputs were calibrated on pre-AI, pre-geopolitical-fragmentation data and may not adequately capture the investment-demand shock now unfolding.

2. The Empirical-Response Model (Lubik–Matthes / Richmond Fed)

This framework infers the equilibrium rate from the economy’s revealed resilience in the face of rate hikes. Given the durability of U.S. labour markets and robust corporate investment in 2024 and 2025 despite elevated policy rates, the model concludes that the equilibrium must be significantly higher — placing real r∗ above 2.2 per cent.

Implication: Policy may not have been as restrictive as believed during the tightening cycle, helping to explain the growth resilience.

Risk: Overestimation if elevated fiscal stimulus artificially masked the contractionary effect of higher rates.

3. The Cleveland Fed Zaman Model

A richer framework conditioning on a broader information set, the Zaman model estimated as of Q2 2025 a medium-run nominal neutral rate of 3.7 per cent, with a 68 per cent confidence band of 2.9 to 4.5 per cent. Given the then-prevailing federal funds rate of 4.25 to 4.5 per cent, the model assessed with 77 per cent probability that policy was in restrictive territory — providing the most formally probabilistic of the Fed system’s published estimates.

4. Market-Implied Forward Rates (5y5y Real Forwards)

Bond market pricing — particularly five-year forward rates five years ahead — provides a market-based estimate of long-run neutral. Federal Reserve Board staff analysis (Covitz and Engstrom, FEDS Notes, February 2026) finds that far-forward real risk premia have increased substantially, driven by elevated fiscal deficits, persistent capital expenditure cycles, and heightened geopolitical risk. The FOMC’s December 2025 dot plot shows a median long-run federal funds rate of 3.0 per cent, but individual projections range from 2.6 to 3.9 per cent nominal — an extraordinary 130 basis point spread within the same policy committee.

5. The Nonmonetary Forces Framework (Governor Miran)

A notable contribution by Federal Reserve Governor Stephen Miran (September 2025) explicitly incorporates nonmonetary factors — border policy, trade renegotiation, and fiscal changes — into the assessment of r∗. Miran argues that the sharp contraction in immigration under 2025 border policy may be putting significant downward pressure on the neutral rate, drawing on research estimating that a one percentage point drop in annual population growth reduces r∗ by approximately 0.6 percentage points — implying a nearly 0.4 percentage point downward drag from the immigration slowdown alone. This introduces a significant and underappreciated policy-driven demographic shock into the neutral rate debate, one that lagged models will not capture for quarters or years.

VI. Bayesian Scenario Analysis: Locating r∗ Under Uncertainty

The wide dispersion of model-based estimates — spanning more than 130 basis points in real terms across frameworks simultaneously maintained by Federal Reserve system researchers — is not a failure of econometrics. It is an honest acknowledgement of structural uncertainty about the forces shaping equilibrium. Bayesian inference offers a natural and disciplined language for navigating that uncertainty: instead of searching for a single “true” value of r∗, one maintains a probability distribution over scenarios, updates it as new data arrive, and uses the resulting posterior to bound policy decisions.

The Framework: Priors, Signals, and Posteriors

The Bayesian approach to r∗ begins with prior probabilities assigned to competing structural scenarios, reflecting our baseline beliefs before conditioning on the most recent data. These priors are informed by the long-run empirical literature — Laubach-Williams, demographic projections, trend productivity estimates — as well as by the theoretical frameworks of Wicksell, Keynes, and Friedman discussed above.

The prior is then updated through a likelihood function — essentially asking: given each structural scenario, how probable are the observable signals we actually see in 2025 and 2026? Observable signals include the resilience of U.S. GDP growth despite elevated policy rates; the magnitude of AI capital expenditure; the behaviour of long-run inflation expectations; fiscal deficit trajectories; and labour market data conditioned on the immigration policy shift. The resulting posterior probability distribution provides a richer and more honest basis for policy calibration than any single point estimate.

Formally, if we denote the four structural scenarios as S₁ through S₄ with prior probabilities P(Sᵢ), and a vector of observable signals as Ω — encompassing AI CapEx realisation, fiscal trajectory, demographic signals, and market pricing — then the posterior probability of each scenario is given by Bayes’ theorem:

P(Sᵢ | Ω)  ∝  P(Ω | Sᵢ) × P(Sᵢ)

The posterior distribution over r∗ is then the probability-weighted average of the scenario-specific r∗ estimates, with the weights determined by the updated scenario probabilities. This framework does not eliminate uncertainty — it quantifies and structures it. It also makes explicit the signals that would cause a rational policymaker to revise their r∗ estimate up or down, in real time, as new data arrive.

The Four Scenarios

Scenario I: Secular Stagnation Persistence (Prior: 20%)

Scenario I — Secular Stagnation Persistence   [Prior probability: 20%]

AI realisation: Disappoints: narrow gains, limited economy-wide diffusion.

Fiscal path: Consolidation: deficits compress toward 4% of GDP.

Demographics / immigration: Immigration collapse lowers labour supply and investment demand.

Posterior real r∗ (U.S.): 0.50 – 0.90% real

In this scenario, the structural forces that drove r∗ toward zero in the 2010s remain dominant. AI investment disappoints relative to headline CapEx figures: the spending is real, but productivity gains are narrow, concentrated in a small number of sectors, and fail to diffuse economy-wide. The demographic drag from declining immigration reinforces the Miran channel, reducing labour supply growth and dampening investment demand. Fiscal consolidation, driven by bond market pressure and political compromise, reduces the sovereign borrowing impulse. r∗ drifts back toward its post-2008 equilibrium in the 0.50 to 0.90 per cent real range, consistent with the HLW model’s current estimate of 0.84 per cent.

This scenario’s prior weight of 20 per cent reflects the fact that HLW’s semi-structural framework has the most rigorous empirical pedigree, but its demographic inputs may be poorly calibrated to the AI-era investment surge. It would imply that much of the tightening cycle was excessive, and that deferred effects are still working through the system with long and variable lags.

Scenario II: Moderate Structural Shift — Base Case (Prior: 45%)

Scenario II — Moderate Structural Shift — Base Case   [Prior probability: 45%]

AI realisation: Partial: genuine productivity gains in leading sectors, incomplete economy-wide diffusion over 3–5 years.

Fiscal path: Deficits persist at around 6% of GDP; no dramatic escalation.

Demographics / immigration: Modest immigration decline; demographic drag partially contained.

Posterior real r∗ (U.S.): 1.25 – 1.75% real

The base case assigns the highest prior probability to a moderate but durable upward shift in r∗. AI investment delivers genuine but incomplete productivity gains. Fiscal deficits persist at around 6 per cent of GDP, maintaining sovereign borrowing pressure, but do not escalate dramatically. The immigration contraction creates a modest negative drag that partially offsets the AI and fiscal impulses. Real r∗ in the United States stabilises in the 1.25 to 1.75 per cent range — consistent with the RSM estimate, the lower end of the Richmond Fed’s implied range, and the real rate implied by the FOMC’s December 2025 median long-run dot of 3.0 per cent nominal against a 2 per cent inflation target.

Under this scenario, current policy at 4.25 to 4.5 per cent nominal is moderately restrictive, consistent with the Cleveland Fed’s Zaman model assessment, validating a patient, data-dependent path toward 3.0 to 3.5 per cent over 18 to 24 months.

Scenario III: High Neutral / New Paradigm (Prior: 25%)

Scenario III — High Neutral / New Paradigm   [Prior probability: 25%]

AI realisation: Transformative: economy-wide TFP uplift of 1.5 percentage points or more.

Fiscal path: Deficits remain elevated; defence and green CapEx accelerate simultaneously.

Demographics / immigration: Immigration stabilises; labour market absorbs the AI transition.

Posterior real r∗ (U.S.): 2.00 – 2.50% real

This scenario envisions a genuine structural break in the equilibrium rate, driven by a convergence of investment demand forces not seen since the postwar reconstruction era. AI delivers a durable total factor productivity boost economy-wide, lifting both potential output and the marginal efficiency of capital. Defence and green CapEx accelerate simultaneously, as Germany’s fiscal loosening triggers a wider European investment push. Sovereign fiscal deficits remain elevated and are partially absorbed through a structural widening of term premia.

Under Scenario III, current nominal policy at 4.25 to 4.5 per cent is only modestly above neutral, and the Fed’s December 2025 median projection of 3.0 per cent long-run nominal would need to be revised upward to 4.0 to 4.5 per cent — a major recalibration of the entire rate-setting framework. The prior of 25 per cent reflects the genuine plausibility of the AI investment case, while acknowledging the historical tendency for technology-investment booms to produce shorter-than-expected r∗ uplift before adoption diffuses and the CapEx cycle matures.

Scenario IV: Fiscal Dominance Break — Tail Risk (Prior: 10%)

Scenario IV — Fiscal Dominance Break — Tail Risk   [Prior probability: 10%]

AI realisation: Irrelevant: fiscal stress dominates asset pricing entirely.

Fiscal path: Loss of bond market confidence; term premium surge; sovereign yields de-anchor.

Demographics / immigration: Political pressure suppresses real rates below any meaningful neutral level.

Posterior real r∗ (U.S.): Nominally elevated; severely negative in real terms (concept becomes inoperative)

The fiscal dominance scenario is qualitatively distinct from the others. It does not predict a particular level of r∗ so much as a breakdown in the mechanism by which r∗ is expressed in market pricing and policy rates. Sustained fiscal deficits at or above 6 per cent of GDP, combined with political pressure on monetary independence — illustrated most acutely by the DoJ subpoena of the Federal Reserve in January 2026 — produce a loss of bond market confidence in the long-run fiscal trajectory of the United States. Term premia surge, and the yield curve steepens in a way that central bank policy rates cannot contain.

The paradox of fiscal dominance is that it can produce nominally high interest rates while simultaneously suppressing real rates through elevated inflation expectations: a modern echo of the financial repression that Reinhart and Sbrancia documented as the primary debt-reduction mechanism in the post-WWII period. Real r∗ becomes effectively indeterminate — the concept loses its operational meaning as a policy anchor precisely when it is most needed. The 10 per cent prior reflects the view that U.S. institutions remain sufficiently robust to resist full fiscal dominance in the medium term, but the January 2026 episode raised the tail probability non-trivially from near-zero to a level that responsible risk management cannot ignore.

Observable Signals and Posterior Updating

The following nine signals, each observable as of February 16, 2026, constitute the primary inputs to the likelihood function. Read together, they reveal a balance of evidence that points modestly but meaningfully away from Scenario I and toward the moderate structural shift of Scenario II, with genuine but bounded probability mass remaining on Scenarios III and IV.


U.S. AI CapEx (hyperscalers): ~$400 billion in 2025 — ↑ r*: Raises investment demand well above historical norms; shifts prior weight toward Scenario III.

FOMC December 2025 long-run dot: 3.0% nominal median — ↑ r* (moderate): Supports the base case; committee median is consistent with approximately 1.0% real neutral.

HLW model estimate: 0.84% real (Q2 2025) — ↓ r* signal: Strengthens the Scenario I prior; secular demographic and productivity forces not yet exhausted in this framework.

Richmond Fed model estimate: above 2.2% real — ↑ r* signal: Supports Scenario III; resilience-based inference implies neutral has risen substantially.

U.S. fiscal deficit: above 6% of GDP through 2026–2027 — ↑ r*: Raises sovereign borrowing demand; crowds private capital and widens term premia.

Immigration contraction under 2025 border policy — ↓ r*: Reduces labour supply growth; the Miran channel implies approximately −0.4 percentage points on r*.

Germany fiscal expansion: investment up approximately 20% in 2026 — ↑ r* (euro area): Partially offsets demographic drag in the euro area; adds upward pressure to European capital demand.

BofA Fund Manager Survey: 53% cite AI stocks as bubble — Ambiguous: If correct, AI CapEx overshoots rational returns; an eventual correction would lower the real neutral rate.

DoJ subpoena of the Federal Reserve (January 2026) — ↓ r* (tail risk): Raises Scenario IV probability incrementally; political pressure for premature easing constitutes a fiscal dominance signal.


Posterior Estimates and Policy Implications

Weighting the scenario-specific r∗ estimates by their prior probabilities — and conditioning qualitatively on the signal evidence above — yields a probability-weighted posterior expectation for U.S. real r∗ of approximately 1.40 to 1.65 per cent. This sits comfortably within the moderate structural shift range, somewhat below the Richmond Fed’s point estimate and well above the HLW model’s current reading. In summary: Scenario I (secular stagnation persistence, 20% prior, 0.50–0.90% real r*); Scenario II (moderate structural shift, 45% prior, 1.25–1.75% real r*); Scenario III (high neutral / new paradigm, 25% prior, 2.00–2.50% real r*); and Scenario IV (fiscal dominance break, 10% prior, indeterminate in real terms). The signals from Table 1 would shift weight modestly from Scenario I toward Scenarios II and III relative to these priors.

Crucially, the framework is dynamic. The signals that would cause the largest single revision in posterior r∗ are a sustained AI productivity breakthrough visible in aggregate TFP data — which would sharply raise the probability weight on Scenario III; a credible medium-term fiscal consolidation plan — which would lower the Scenario IV tail probability and reduce term premia; and a resolution of the Federal Reserve independence crisis confirming institutional credibility — which would reduce the dispersion of the posterior distribution and lower the premium that markets embed in long-duration U.S. assets.

For central banks navigating under Bayesian uncertainty, the posterior distribution matters more than the posterior mean. The optimal Bayesian policy in early 2026 is one of data-conditional gradualism: moving rates toward 3.0 to 3.5 per cent nominal over 2026, while continuously updating the scenario weights in response to incoming productivity data, fiscal developments, and labour market signals. This is not indecision. It is rational inference under structural uncertainty.

The question is not what r-star is today. The question is what distribution over r-star values should govern policy decisions — and what observable evidence would cause that distribution to shift. That framing converts an abstract philosophical puzzle into an actionable decision science.

VII. The G7 in Comparative Perspective: Divergence Beneath the Surface

The United States

The U.S. presents the strongest case for a durably higher r∗. A relatively youthful demographic profile by G7 standards, the global centre of AI investment, the world’s reserve currency status enabling deficit financing at scale, and aggressive fiscal expansion through the OBBBA all point toward elevated capital demand. The federal deficit is projected to remain above 6 per cent of GDP through the current presidential term, generating structural sovereign borrowing that competes with private capital across the yield curve. The 10-year Treasury yield is expected to drift toward 4.5 per cent by year-end 2026, reflecting both structural fiscal pressures and elevated term premia.

The Euro Area

The ECB held its deposit facility rate at 2.0 per cent through the end of 2025 and the opening of 2026 — a level that Vanguard characterises as neutral for the euro area. Staff projections put euro area growth at 1.4 per cent in 2025 and 1.2 per cent in 2026, with inflation revised to 1.9 per cent for 2026. Demographic drag and weaker productivity growth partially explain the lower euro area neutral, but Germany’s fiscal loosening and pan-European defence commitments are adding an upward impulse to capital demand that was absent in the 2010s. In Bayesian terms, the euro area scenario weights sit closer to Scenarios I and II, with considerably less probability mass on Scenario III than the U.S.

The United Kingdom

The Bank of England cut Bank Rate to 3.75 per cent in December 2025, its fourth reduction of the year. The February 2026 Monetary Policy Report projects CPI inflation falling back to 2.0 per cent by mid-2026. The U.K.’s structural neutral rate appears somewhat higher than the euro area but meaningfully lower than the U.S., reflecting a combination of fiscal tightening — the 2025 Autumn Budget raised taxes to their highest share of GDP in post-war history — and weaker private-sector investment dynamism. Services inflation remains elevated and productivity growth has been, in the Bank’s own assessment, exceptionally weak on average since 2023.

Japan

Japan remains the outlier among G7 central banks. The Bank of Japan’s gradual exit from yield curve control and negative interest rate policy has moved the policy rate modestly positive but remains well below other G7 levels. Japan’s structural r∗ — constrained by extreme demographic ageing, entrenched deflationary psychology, and very high public debt ratios — is likely still very low in real terms, even as nominal rates rise from deeply negative starting points. Japan’s experience remains the sharpest cautionary tale of what Scenario I looks like when fully entrenched over a 30-year period, and the most powerful reminder of what is at stake if any G7 economy mislocates its neutral rate and remains too accommodative for too long.

VIII. Leadership at the Federal Reserve: Transition, Uncertainty, and Independence

The Warsh Nomination

On January 30, 2026, President Trump formally nominated former Federal Reserve Governor Kevin Warsh to succeed Jerome Powell as Chair, pending Senate confirmation. Warsh has been a vocal critic of excessive reliance on econometric equilibrium estimates. His publicly articulated approach emphasises greater weight on market-based signals, faster balance-sheet normalisation, scepticism toward mechanical forward guidance, and a rules-based monetary regime. Analysts have described his proposed framework as “Productive Dovishness”: an inclination to ease in 2026 driven by the view that AI-driven productivity gains could boost economic growth without reviving inflation. Deutsche Bank has cautioned, however, that it does not view Warsh as structurally dovish over the medium term.

From a Bayesian perspective, a Warsh-led Federal Reserve would likely place greater weight on market-implied signals — the 5y5y forwards, the term structure — as inputs to the likelihood function, and less on the HLW model’s demographic-trend outputs. This methodological shift would, all else equal, move the Fed’s implicit scenario weights toward Scenario III, and accelerate any upward revision of the long-run dot from the December 2025 median of 3.0 per cent nominal.

The Independence Crisis

On January 11, 2026, Federal Reserve Chair Jerome Powell publicly disclosed that the Department of Justice had served the Fed with grand jury subpoenas related to his June 2025 Senate testimony. Powell stated directly: “The threat of criminal charges is a consequence of the Federal Reserve setting interest rates based on our best assessment of what will serve the public, rather than following the preferences of the President.”

“This is about whether the Fed will be able to continue to set interest rates based on evidence and economic conditions — or whether instead monetary policy will be directed by political pressure or intimidation.” — Jerome Powell, January 11, 2026

A bipartisan group of former Fed Chairs and leading economists immediately compared the administration’s actions to moves made in more impoverished countries. JPMorgan Chase CEO Jamie Dimon stated that everyone he knows believes in Fed independence. The episode illustrates, with unusual clarity, the Scenario IV risk embedded in the current political environment. When a president believes rates are far too high, that belief is implicitly a claim about the neutral rate — that current policy is far above neutral and therefore needlessly contractionary. In the Bayesian framework, every such episode raises the tail probability on Scenario IV incrementally, and shifts the loss function confronting independent central bankers asymmetrically.

IX. Strategic Risks of Mislocating or Abandoning the Neutral Anchor

1. Communication Breakdown

If central banks lose confidence in their r∗ estimates — or abandon the concept altogether — forward guidance loses coherence. Bond markets, which price duration risk against a view of long-run equilibrium, would face structurally elevated volatility. The current FOMC — where a 130 basis point spread in long-run rate projections already exists among 19 voting and non-voting members — provides a preview of what incoherent signalling looks like in practice. A Bayesian framework makes the uncertainty explicit and manageable; its absence leaves markets to price it implicitly, at higher cost.

2. Fiscal Dominance Risk

Without an equilibrium anchor, the political pressure to suppress rates for debt-sustainability purposes becomes harder to resist. As G7 sovereign debt-to-GDP ratios are projected to reach 137 per cent by 2030, and the U.S. deficit is expected to remain above 6 per cent of GDP through the Trump administration’s second term, Scenario IV is not hypothetical. Reinhart and Sbrancia documented that governments facing high debt with inflationary environments tend to respond with financial repression when institutional constraints are weak. The January 2026 episode raised the Scenario IV probability from negligible to meaningful.

3. Stop–Go Cycles

Absent a neutral reference, monetary policy risks oscillating between over-tightening and under-tightening in ways that amplify rather than dampen the business cycle — recreating the volatility of the 1970s. The inflation surge of 2021 to 2023 and the subsequent rapid tightening cycle may already be read as a first episode of such a stop-go dynamic, enabled by an excessively low r∗ anchor that permitted rates to remain too low for too long.

4. Asset Price Misallocation

If the structural upward migration of r∗ is real but policymakers hold rates below the new equilibrium for political or communication reasons, capital misallocation follows. Long-duration assets — technology equities, commercial real estate, long-dated bonds — will be priced against a neutral rate that does not reflect reality. The Bank of America’s November 2025 Global Fund Manager Survey, in which 53 per cent of respondents characterised AI stocks as having reached bubble proportions, suggests that markets themselves are not fully confident that AI investment will generate returns commensurate with the implied cost of capital — consistent with the risk of Scenario III being over-weighted by markets relative to the true posterior.

X. Structural Implications for the G7

A structurally higher r∗ carries implications that cascade across every domain of macroeconomic policy and financial market structure.

Permanently higher real borrowing costs compress the set of viable public investment projects and force a genuine reckoning with fiscal sustainability. Infrastructure, social programmes, and pension systems designed on the implicit assumption of near-zero real rates face a fundamental viability challenge. The zombie companies problem — firms that survive only because ultra-low borrowing costs allow them to roll over debt indefinitely — will be resolved through restructuring and default for a significant tail of enterprises.

Equity valuation multiples face secular compression. The S&P 500, trading at approximately 22 times forward earnings heading into 2026, is partly priced on an assumption of low real discount rates. A durable upward shift in r∗ of 1 to 1.5 percentage points implies a fair-value reduction in equity multiples of similar magnitude, absent compensating earnings growth. The AI productivity case is the key offset: if AI delivers the transformative scenario, higher potential output validates higher multiples. If it disappoints, the higher cost of capital falls on a narrower earnings base, with correspondingly larger equity correction.

Housing markets face structural repricing. A generation of homeowners and developers who financed at the rates prevailing from 2010 to 2021 faces a permanently higher carry cost on new purchase and refinancing decisions. The refinancing wall projected for 2026 to 2027 represents the moment when the structural repricing of capital becomes most concretely visible at the household and corporate level.

The importance of productivity-enhancing reform is elevated. In a world of higher r∗, the premium on policies that raise the marginal efficiency of capital — labour market flexibility, regulatory streamlining, competition policy, innovation incentives — is correspondingly higher. Growth cannot rely as heavily on financial leverage and cheap credit. This places AI at the centre not just of the capital demand story but of the supply story: if AI genuinely raises total factor productivity, it simultaneously elevates r∗ through investment demand and validates the higher rate through improved potential output.

XI. Conclusion: The Moving Star

The neutral rate has not vanished. It has migrated.

The era in which capital was structurally abundant and its real price near zero appears to be ending. The combination of AI-driven investment demand, energy transition capital expenditure, defence rearmament, and persistently elevated sovereign borrowing has altered the equilibrium price of money in ways that demographic forces and productivity pessimism alone cannot easily offset.

The Bayesian framework developed in Section VI provides a disciplined structure for navigating this uncertainty. It assigns prior probabilities to four structurally distinct scenarios, updates them against the observable signals of early 2026, and yields a posterior expectation for U.S. real r∗ of approximately 1.40 to 1.65 per cent — consistent with the base case of moderate structural shift, but with meaningful probability mass assigned to both the secular stagnation persistence and the high neutral scenarios. The tail risk of fiscal dominance, while carrying only a 10 per cent prior, cannot be dismissed in a political environment where the executive has directly challenged central bank independence.

The appropriate policy response to this posterior distribution is data-conditional gradualism: moving rates deliberately but not precipitously toward a revised estimate of neutral, while continuously updating the scenario weights in response to AI productivity data, fiscal developments, immigration signals, and the resolution — or escalation — of the Federal Reserve independence crisis. This is not indecision. It is rational inference under structural uncertainty, applied to the most consequential macroeconomic variable of the decade.

The central challenge for 2026 is not whether r∗ exists. It is whether policymakers can correctly locate it — and defend their estimate from those who would set it by political fiat.

The integrity of that navigation determines not just the path of interest rates. It determines the credibility of the institutions that anchor the modern monetary order. Our models are telescopes, not truths. They point toward the stars, but they do not create them. The stars, however, do move. And 2026 will test whether the telescopes — and the institutions that operate them — are equal to the task.




Note on Sources and Methodology

All empirical references in this essay draw on publicly available research and data accessible as of February 16, 2026. Key sources include: Federal Reserve Bank of New York r∗ tracker (HLW and LW models); Federal Reserve Bank of Cleveland Economic Commentary (Horn and Zaman, 2025); Federal Reserve Board FEDS Notes (Covitz and Engstrom, February 2026); Federal Reserve Board Speech (Governor Miran, September 22, 2025); ECB December 2025 policy decision and Survey of Professional Forecasters; Bank of England Monetary Policy Reports (November 2025, February 2026); FOMC December 2025 Summary of Economic Projections; Vanguard Economic and Market Outlook 2026; BlackRock Investment Institute 2026 Outlook; RSM US Economic Outlook 2025–2026; LPL Research 2026 Fixed Income Outlook; CFR analysis of Warsh nomination (February 2026); and contemporaneous reporting on the Federal Reserve independence controversy of January 2026. The Bayesian scenario framework in Section VI is an analytical construct developed in this essay; the scenario-specific r∗ bounds are grounded in the published model estimates cited above and do not represent the views of any single institution.