In early December 2025, a cascading series of flight cancellations at IndiGo, India’s largest airline, brought one of the world’s fastest-growing aviation markets to a grinding halt, stranding tens of thousands of passengers during the peak of winter travel season. On December 5 alone, over 1,000 flights were canceled nationwide, including all departures from the national capital, New Delhi’s Indira Gandhi International Airport, as the airline struggled to comply with new pilot fatigue regulations it had been given months to prepare for. By mid-December, upwards of 4,500 flights had been axed or delayed, prompting government interventions, regulatory examinations, and frontline outrage. 

For US and international readers unfamiliar with Indian skies, the scale of this disruption was unprecedented: a carrier that handles nearly two-thirds of India’s domestic traffic saw its network unravel in a matter of days, leaving packed terminals, long queues, lost luggage, and frustrated travelers in its wake. Such chaos is rare even in the world’s largest aviation markets, where diversified competition and regulatory frameworks tend to contain operational breakdowns before they become systemic — a contrast that highlights deeper tensions between regulation, competition, and resilience in India’s aviation sector. 

At the root of the crisis were updated Flight Duty Time Limitation (FDTL) rules issued by India’s aviation regulator, the Directorate General of Civil Aviation (DGCA), to strengthen pilot fatigue safeguards. Among other changes, the new rules increased mandatory weekly rest from 36 to 48 hours, sharply limited night landings per pilot, and tightened duty-hour caps — measures intended to reduce cumulative fatigue and align India with global safety practices.

Research and regulatory studies indicate that fatigue impairs alertness, attention, and decision-making ability, increasing the risk of errors in aviation operations — which is why agencies such as EASA and others require flight time limitations and rest requirements to mitigate fatigue risks for pilots. However, the timing and implementation of these rules collided disastrously with IndiGo’s tightly optimized, lean operational model. The rules took full effect on November 1, 2025, immediately before the winter schedule ramp-up, and the airline’s rosters, crew hiring, and scheduling buffers proved insufficient to absorb the added constraints. 

“Given the size, scale and complexity of our operation, it will take some time to return to a full, normal situation,” said IndiGo’s Chief Executive Pieter Elbers in a video message during the crisis, acknowledging both the disruption and the airline’s planning shortfalls. He said the carrier expected cancelations to fall below 1,000 and hoped operations would stabilize between December 10 and 15 before returning to full normalcy by mid-February 2026. 

The airline’s reputation for punctuality and efficiency, a hallmark of its rapid ascent as India’s dominant carrier, was severely dented. Over several days, airports nationwide saw terminals overflow with passengers scrambling for information, staff overwhelmed by inquiries, and strike-like levels of cancelations and delays that are more common after major weather events than in well-regulated commercial environments. 

Adding to the industry upheaval, the Competition Commission of India (CCI) and the DGCA moved to investigate whether IndiGo’s market dominance had been exploited during the chaos. Regulators sought fare data from leading carriers after reports emerged that ticket prices on alternative airlines surged significantly once IndiGo’s capacity shrank, sparking concerns about exploitative pricing and potential antitrust violations. 

It was not only market watchers who were alarmed. An international pilots’ advocacy group, the International Federation of Air Line Pilots’ Associations (IFALPA), publicly warned that India’s temporary exemption of some night-duty rules for IndiGo was concerning because “fatigue clearly affects safety” and said the move was not grounded in scientific evidence. IFALPA’s president, Captain Ron Hay, stressed that regulatory exemptions to core fatigue protections risk undercutting broader safety goals and could exacerbate pilot attrition if working conditions worsen. 

The crisis raises an obvious question: How does a safety-driven rule lead to system-wide operational collapse? The answer lies in the interlocking dynamics of regulation and market structure. In many major aviation markets, safety regulation and commercial competition are designed to operate in a complementary, not contradictory, fashion. For example, in the United States, the Airline Deregulation Act of 1978 removed federal control over fares, routes, and market entry yet preserved robust safety oversight. The result has been decades of competitive pressure that encourages airlines to maintain operational buffers and redundancy — not just for profit, but to avoid losing market share to rivals.

In Europe, liberalization in the 1990s enabled the rise of low-cost carriers that expanded capacity and required others to evolve service models. Singapore and the United Arab Emirates, too, have developed highly competitive hubs with minimal micro-management of airline operations beyond safety compliance.

India’s system has been more hybrid: rapid growth and liberal market entry coexisted with a regulator that, in practice, has exercised broad operational influence. The DGCA oversees not only safety certification but also staffing approvals, scheduling compliance, and enforcement of duty rules that directly shape airline operations — a role that can blur lines between safety oversight and commercial intervention.

While the intent behind the FDTL updates was to improve safety, critics argue that too little attention was paid to transition planning, industry capacity, and incentives for airlines to build redundancy. IndiGo had years to prepare for the new norms, yet recruitment lagged and roster reforms were implemented too late and too thinly to meet the demands of India’s busiest travel season. Other carriers, with smaller networks and different staffing strategies, weathered the changes with fewer cancelations. This suggested that operational choices, not just regulation, mattered in how airlines adapted.

The DGCA’s response illustrated this tension. In the face of chaos, authorities temporarily suspended the most restrictive duty limits for IndiGo — including night landing caps — and directed the carrier to adjust its schedules and submit revised planning roadmaps. The civil aviation ministry also instituted a fare cap on competing airlines to prevent opportunistic pricing spikes while IndiGo’s network recovered. An inquiry panel was ordered to examine what went wrong and recommend changes to prevent similar future breakdowns. 

To an American or European audience, where regulatory functions are generally more clearly delineated and competition is vigorous across multiple carriers, the Indian episode highlights a set of broader governance challenges: the difficulty of balancing safety regulation with market incentives, the risks of high market concentration, and the need for effective transitional planning when policy changes affect deeply interdependent systems.

First, regulatory changes in safety-critical industries should be introduced with robust transitional frameworks that align industry capacities with compliance timelines. In the United States and the EU, fatigue management standards are phased in over long periods with consultations, transitional staffing analysis, and often incremental enforcement, minimizing sudden shocks to networks.

Second, market structure matters for systemic resilience. Markets dominated by a single carrier — particularly one with more than 60% market share — lack the redundancy that competition naturally creates. When that carrier falters, competitors cannot easily absorb displaced passengers or capacity, and prices can spike, reducing consumer welfare.

Third, coordination between regulators and industry is essential. Safety mandates that lack clear pathways for adaptation can backfire, not because the goal is misguided, but because execution does not account for operational realities. Planning frameworks that integrate regulatory foresight with industry hiring, training, and technology investments reduce the risk of rule implementation triggering wider system breakdowns.

IndiGo’s winter meltdown was not just a corporate planning failure or an administrative misstep; it was a public demonstration of how tightly coupled operational, regulatory, and competitive dynamics can lead to cascading failure when incentives are misaligned and buffers are thin. For Indian travelers, the immediate fallout was stranded families, disrupted plans, and a deep erosion in trust. For policymakers and global aviation observers, it is a case study in the complex trade-offs between safety regulation and system resilience.

Ultimately, resilient aviation markets embrace clear safety oversight and vigorous competition without allowing either to overwhelm the other. The US model of deregulated commercial competition and focused safety supervision, for all its imperfections, offers an example of how incentives and regulatory clarity can coexist. India’s aviation system, and others with similar structural traits, may yet find pathways to balance these dynamics — but the December 2025 upheaval will remain a stark reminder that turbulence often comes not from the skies, but from the regulatory and market architecture beneath them.

Daily headlines formulate new variations on the theme: artificial intelligence is too powerful to be left unregulated. Lawmakers, guardedly seconded by big tech CEOs, warn of catastrophe. Agencies draft frameworks. Editorial boards demand ethical guardrails. We are told that only government can ensure that AI is “safe,” “aligned,” and deployed responsibly. Yet, in the same week, the Pentagon reportedly moved to blacklist one of the country’s most prominent AI firms for refusing to remove certain ethical constraints from its flagship system. The contradiction is not subtle. It is fundamental. 

Anthropic, the San Francisco–based AI company founded by Dario and Daniela Amodei, has built its reputation on what it calls “AI safety” and “constitutional AI.” Its Claude line of large language models competes at the frontier of capability with systems from OpenAI and Google DeepMind. But Anthropic has distinguished itself by emphasizing that its models are not merely powerful; their architecture incorporates embedded guardrails. The company has publicly stated that it has declined to grant the Department of Defense unrestricted use of its models for certain applications, specifically mass domestic surveillance and fully autonomous weapons. In response, Secretary of Defense Pete Hegseth declared the company a “supply chain risk” and signaled that it could be excluded from defense procurement ecosystems unless it complied with the government’s terms. 

The Pentagon’s position, as reported, is that it must have access to AI tools for “any lawful use.” From the government’s perspective, the stakes are obvious. AI is now integral to logistics, intelligence analysis, battlefield planning… and potentially autonomous systems. The United States faces strategic competition with China and other adversaries investing heavily in military AI. Should a private vendor’s internal ethical policies veto what defense officials consider lawful and necessary uses of a technology purchased with public funds? 

Legal scholars in this field like Tess Bridgeman immediately pointed out contradictions, dubious legal assumptions, and barriers to implementing the position Hegseth seemed to take — and even questioned his intention to carry out his threat.

Alongside domestic surveillance, major powers are also racing to integrate AI into military systems, including autonomous weapons and autonomous operational capabilities. China, for example, has been reported to develop AI-enhanced unmanned vehicles and AI-powered “swarm” technologies capable of cooperative action among large numbers of drones or robotic units without continuous human control.⁷ That trend reflects a broader global pattern in which artificial intelligence is moving out of analytics and into direct force application, raising deep questions about how ethical limits are set and enforced — questions that are precisely the ones at stake in the dispute over who controls AI ethics in the first place. 

That argument has force. The Constitution charges the federal government with providing for the common defense. National defense is not a hobby; it is one of the state’s core responsibilities. In wartime and even in tense peacetime, the government must be able to procure the tools it deems essential. Historically, America’s economic strength has been decisive in war precisely because private industry could be mobilized to produce ships, planes, steel, and munitions at scale. The phrase “arsenal of democracy” was not rhetorical flourish. It described a system in which private enterprise — operating for profit — supplied the matériel that preserved political freedom. 

But what is happening in this dispute is not merely procurement. It is not a disagreement over price, performance, or delivery schedules. It is a dispute over who controls the ethical architecture of a technology. Anthropic is not refusing to sell computers. It is refusing to strip out guardrails that it believes are integral to the responsible design of its product. The Pentagon is not demanding a faster processor. It is demanding that the company relinquish the authority to restrict how its system is used. 

The contradiction becomes acute. For the past several years, government officials have insisted that AI companies must internalize ethical responsibility. They must prevent misuse. They must anticipate harms. They must build systems that refuse dangerous or unlawful requests. Regulators argue that without such constraints, AI systems could be used for surveillance abuses, disinformation campaigns, or autonomous violence. Ethics, we are told, cannot be left to the market alone. 

Across the globe, governments are already pushing the boundaries of what AI can do in practice. Most starkly, China’s government has built what may be the largest AI-supported surveillance apparatus in human history, deploying hundreds of millions of public-facing cameras linked to facial-recognition and data-fusion systems that can identify and track individuals in real time. As of recent years, analysts estimate that China operates well over half of the world’s surveillance cameras — many of them capable of identifying people and tracing movements across cities, social venues, and even everyday public spaces — creating an infrastructure that can monitor citizens at an unprecedented scale.⁶ 

Yet when a company attempts to operationally implement those very ethical constraints in its design, and applies them even to its most powerful potential customer, it is threatened with economic exclusion. The message is unmistakable: ethics are mandatory — except when the sovereign decides otherwise. 

The mechanism of pressure is also revealing. By designating Anthropic a “supply chain risk,” the Defense Department reportedly signaled not only that it would decline to contract with the company but that other firms in the defense industrial base might be discouraged — or effectively barred — from doing business with it. In modern administrative practice, such a designation can function as a form of industrial excommunication — the Pope excommunicating the stubborn Jewish heretic Baruch Spinoza. The company is not nationalized; it is isolated. The pressure is not a knock at the factory gate; it is a warning to partners and customers that continued association carries risk. 

There are historical precedents for government commandeering or directing private industry in times of emergency. The Defense Production Act of 1950 grants broad authority to prioritize contracts and allocate materials deemed necessary for national defense. Presidents of both parties have invoked it in wartime and in domestic emergencies. Yet even at the height of the Korean War, the Supreme Court in Youngstown Sheet & Tube Co. v. Sawyer rejected President Truman’s attempt to seize steel mills absent explicit congressional authorization. The Court’s decision stands as a reminder that “necessity” does not erase constitutional structure. Emergency powers have limits. 

What is novel here is that the object of contention is not physical production but moral design. AI systems like Claude are unique tools; they are decision-support systems that can be configured to refuse certain tasks. Anthropic has said that it drew two bright lines: no mass domestic surveillance of Americans and no fully autonomous weapons. Whether one agrees with those lines is not the immediate question. Can a private company in a constitutional republic adopt such lines and adhere to them — even when the government disapproves? 

As I argue in my forthcoming book, A Serious Chat with Artificial Intelligence, the defining feature of contemporary AI is not merely its intelligence but its embedded moral design, the guardrails that translate power into socially tolerable use. What is at stake in the present controversy is not a contract term but control of that moral design. 

Critics of capitalism often describe corporations as purely profit-driven entities, indifferent to moral considerations so long as consumers are served and shareholder returns are maximized. Some defenders of capitalism have encouraged that caricature, arguing that business should concern itself solely with serving consumers within the bounds of law. But the real world is more complicated. Companies are run by individuals — owners, directors, executives — who have moral convictions, reputational concerns, religious beliefs, and political commitments. These shape corporate policies in ways that go beyond immediate profit calculation. 

In a free society, the liberty and diversity of judgment is foundational, even metaphysical. If there is an implicit “social contract” — a rational incentive for instituting government — it is to gain the benefits of its defense of our rights without relinquishing our fundamental means of survival — the freedom to act on our judgment. Firms choose to avoid certain markets, to refuse certain clients, or to embed certain principles in their products. A newspaper may decline to publish particular advertisements. A technology company may refuse to build backdoors into its encryption. A pharmaceutical company may set conditions on distribution. The principle underlying these choices is freedom of conscience exercised through private property and voluntary exchange. 

The government’s legitimate role is to protect the rights of individuals against force and fraud, including aggression by foreign powers. That role necessarily includes maintaining an adequate defense. It may purchase weapons, hire troops, build infrastructure, and contract with private suppliers. But the claim implicit in the Pentagon’s reported demand is more expansive: that when national security is invoked, the state’s judgment supersedes the moral constraints of the supplier. The company may sell — but only on terms that dissolve its own ethical boundaries. 

Is that claim unique to this administration? Hardly. Governments of all stripes tend to assert broad discretion in matters of defense and intelligence. The difference here is that the technology in question is widely used in civilian contexts and subject to intense debate about ethical design. If AI companies are to be treated as quasi-public utilities whose internal policies must conform to federal guidance, then the principle should be stated plainly. If, instead, they are private actors responsible for their own moral choices within the law, then those choices cannot be overridden by administrative pressure alone. 

There is also the matter of competition. Reporting indicates that Claude has been used, via partnerships with firms such as Palantir, in significant U.S. operations abroad. Whether one applauds or criticizes those operations, they demonstrate how quickly frontier AI has become operationally consequential. If Anthropic steps back from certain uses, other firms — OpenAI, Google DeepMind, or new entrants — may be willing to step forward. The economic incentives are enormous. Defense contracts are lucrative. Refusal by one vendor creates opportunity for another. 

That dynamic helps explain the relative silence of other major AI firms. A united industry front insisting on the legitimacy of private ethical limits would force the government into negotiation. A fragmented industry competing for favor shifts leverage to the state. In the absence of solidarity, “AI ethics” risks becoming whatever the most powerful customer demands. 

None of this is to deny the seriousness of national security. If adversaries develop and deploy autonomous weapons or pervasive AI-driven surveillance, American officials cannot simply abstain on moral grounds. The world is not a seminar room. But the constitutional design of the United States presumes that power is divided and limited precisely because the concentration of unchecked authority is dangerous — even when exercised with good intentions. 

The deeper issue raised by the Anthropic–Pentagon dispute is not whether a particular application of Claude should be permitted. It is whether the state may simultaneously demand that private innovators internalize ethical responsibility and then exempt itself from those same constraints. If ethics are indispensable to safe AI, they are most indispensable where power is greatest and secrecy deepest. If, on the other hand, ethical guardrails must yield whenever national security is invoked, then regulators should be candid that “ethical AI” is conditional, not foundational.

Every time conflict erupts in the Middle East and oil prices jump, the same anxiety follows: will central banks respond with tighter money?

It’s an understandable fear. Households dislike inflation, and policymakers are tasked with maintaining price stability. But when inflation is driven by geopolitical crises — such as war in Iran or disruptions to global shipping lanes — the source is not excessive demand. It is a supply shock. And monetary policy is impotent before such disruptions.

When oil supply tightens or transport costs surge, the economy becomes poorer. Energy becomes more expensive to extract and move. No interest rate decision in Washington, Frankfurt, or London can produce more oil from the Persian Gulf or reopen a blocked trade route.

In these moments, central banks face a difficult but crucial choice. They can tighten monetary policy in an attempt to suppress inflation by weakening demand, slowing hiring, curbing investment, and cooling total dollar spending. Or they can allow a temporary period of elevated prices to absorb part of the shock while keeping the broader economy intact.

The instinct to “do something” about supply-side price hikes is powerful. But tightening monetary conditions to combat a supply shock risks compounding the damage. Slower money growth and higher rate targets do not solve the underlying scarcity. They merely redistribute the burden — often toward workers.

If energy prices spike because of war, households will pay more at the pump and businesses will face higher costs. That pain is unavoidable. But if central banks respond aggressively by tightening policy, they risk turning an external supply shock into a domestic demand slump. Unemployment rises, investment stalls, and wage growth falters. For the vast majority of workers, having a job amidst 4 percent price growth is preferable to unemployment amidst 2 percent price growth.

There is a long tradition in macroeconomics of distinguishing between demand-driven and supply-driven inflation. When inflation stems from overheated demand (too much spending chasing too few goods), central banks are right to step in. Tightening policy can ease the frenzy without causing long-term economic damage.

But war-induced oil shocks are different. They make the economy less productive. Attempting to fully offset that reality with tighter monetary policy can produce a worse outcome: lower output and higher unemployment layered on top of higher prices.

The least harmful strategy in such circumstances is often to “look through” the initial inflation impulse — provided inflation expectations remain anchored. That means tolerating temporarily higher headline inflation while emphasizing the external and temporary nature of the shock.

Communication is essential. Central bankers should say plainly that surging prices are the result of geopolitical events beyond their control. The Fed cannot drill for oil or end wars. What it can do is ensure that the financial system remains stable and that panic does not spill over into credit markets.

That role — safeguarding the demand side — is where monetary authorities are most effective during geopolitical crises. They can provide liquidity to prevent financial stress from amplifying the shock, if financial stress indicators suggest it is necessary. They can also reassure markets that banks and capital markets will function smoothly by guaranteeing adequate liquidity. And they can prevent a broader collapse in investment and hiring with standard open-market purchases.

In other words, central banks should focus on preventing second-order effects on the demand side. The danger is not the first jump in energy prices; it is the risk that frightened investors, tightening credit conditions, or collapsing confidence trigger a self-reinforcing downturn.

Critics will argue that tolerating higher inflation, even temporarily, risks unanchoring expectations. That risk is real. But credibility is not built by mechanically reacting to every price increase. It is built by responding appropriately to the source of inflation. If the public understands that central bankers are distinguishing between supply shocks and demand shocks, credibility can be preserved.

The worst outcome would be a policy mistake born of impatience: tightening aggressively in response to war-driven inflation, deepening the economic slowdown, and discovering months later that the original price pressures were fading on their own.

Wars make societies poorer. There’s no getting around the fact that destruction and turmoil are bad for business. Monetary policy will its best work if it avoids making the adjustment more costly than necessary. When public events exceed the scope of monetary policy, restraint is the least bad option.