Editorial 1: Defending the rupee: the price of holding the line
GS III: Indian Economy – Monetary Policy, External Sector, Forex Management
Context
The Indian rupee has staged a sharp tactical recovery. From a slide toward 97 to the dollar – it touched 96.79 before the latest intervention – the currency closed at 94.92 on 16 October 2026, its sixth straight session of gains and a weekly rise of 1.8 per cent, its best run since April. Behind the rebound stands the Reserve Bank of India’s most aggressive currency defence since 2013: restrictions on rebooking cancelled foreign-exchange derivative contracts to make speculative bets expensive, a special window meeting the entire daily dollar requirement of three public-sector oil marketing companies to ring-fence their demand from the spot market, and sustained spot dollar sales estimated by market participants at 75 to 80 billion dollars since the special inflow measures began on 8 June. The immediate question is whether the defence has changed the trajectory or merely the tempo. The weight of evidence suggests the latter. The forces driving depreciation – elevated crude prices, a widening current account deficit, and persistent foreign portfolio outflows – remain intact, and the costs of the defence are accumulating in thinner liquidity, costlier hedging and rising bond yields. How India manages this trade-off will shape inflation, interest rates and external credibility through 2027.
UPSC Syllabus Mapping
GS III: Indian Economy and issues relating to planning, mobilisation of resources, growth, development and employment.
GS III: Effects of liberalisation on the economy, changes in industrial policy and their effects on industrial growth.
GS II: Effect of policies and politics of developed and developing countries on India’s interests.
Multi-Dimensional Analysis
1. The anatomy of the defence. The RBI’s October measures attack the problem on two flanks: demand suppression and supply ring-fencing.
– Restricting the rebooking of cancelled derivative contracts raises the cost of running speculative short-rupee positions, squeezing the one-way bets that had built up as the currency slid.
– The special window for oil marketing companies removes a large, predictable daily dollar bid from the spot market, smoothing the demand profile that traders could previously front-run.
– Governor Sanjay Malhotra has framed the intent publicly: the central bank is determined to do whatever is necessary to ensure orderly movement in the foreign-exchange market – a formulation that claims flexibility while signalling resolve.
2. The bill for the defence is arriving in instalments. Intervention of this scale is never free, and the costs are visible across three markets.
– In the forwards market, hedging costs have climbed to their highest since 2016, with dealers describing pricing as extremely dislocated; short-term forward premiums have surged so far that borrowing rupees to swap into dollars can be cheaper than borrowing dollars directly.
– In the bond market, yields have risen to a more than three-year high, as the same liquidity withdrawal that supports the currency tightens domestic money markets and complicates the government’s borrowing programme.
– In the reserves, the cushion is thinner than the headline suggests: dollar sales have drawn reserves down by about 51 billion dollars since the deposit programme closed on 30 August, and forward dollar commitments of roughly 200 billion dollars reduce effective cover, leaving import cover near 6.2 months – the lowest since the taper-tantrum era.
– Bank treasury desks expect a subdued quarter of client currency business and possible losses on fixed-income books; one treasury head described the posture as swallowing poison for long-term gain, an unusually candid admission that the defence redistributes pain across the financial system.
– The RBI’s late clarification that the derivative curbs apply to hedging contracts rather than banks’ market-making activity shows how even well-signalled intervention requires running repairs to avoid freezing legitimate commerce.
3. The fundamentals have not moved. Every structural driver of rupee weakness identified before the intervention remains in place after it.
– Crude oil, with Brent near 105 dollars a barrel amid the Iran war, inflates the import bill of a country that meets roughly 85 per cent of its fuel needs through imports, much of it through the Strait of Hormuz.
– Foreign portfolio investors have sold about 32.5 billion dollars of Indian equities this year through mid-October, including 5,285 crore rupees on 15 October alone, and strategists cite both risk aversion and the absence of an artificial-intelligence play in Indian indices.
– Forecasters have therefore not changed direction, only timing: S&P Global Market Intelligence sees the rupee near 97 by end-2026 and 98 by mid-2027, Mizuho projects 98, and State Street’s currency team expects 99 to 100 over the next year, with a move to 100 explicitly not ruled out if oil rises further and outflows resume.
– The dollar’s own trajectory matters: the dollar index has softened to near 101, which flattered the rupee’s rebound this week; a renewed dollar rally would test the defence precisely when reserves are most committed.
– Equity sentiment offers little relief even as indices climb – the Sensex closed above 74,700 on 16 October – because foreign selling has continued into strength, a pattern that converts every rally into an exit opportunity rather than a flow reversal.
4. Credibility is the real asset being spent. Exchange-rate defence works when markets believe the defender will persist; it fails expensively when persistence is doubted.
– The June foreign-currency non-resident deposit scheme, which added over 100 billion dollars to reserves, bought months of room; the October measures bought weeks. Each successive intervention must be larger to achieve the same effect once the direction of fundamentals is set.
– Predictability cuts both ways: transparent, rule-like intervention reassures investors, but opaque ad hoc curbs prompt banks to seek clarifications – as they already have on the scope of the derivative restrictions – and raise the risk premium demanded for holding rupee assets.
– The Prime Minister’s public appeal to citizens to avoid foreign travel and gold purchases shows how far the concern has travelled from trading desks to political messaging; such appeals signal seriousness but also anxiety.
– Asset managers watching from outside, including teams at UBS and M&G, have said the measures have not changed their strategic view of India but have raised the returns they demand from Indian assets – the quiet tax that expensive hedging imposes on every future inflow.
5. The policy mix cannot rest on intervention alone. Currency strategy is ultimately the sum of monetary, fiscal and external policies, not a separate war fought by one institution.
– The RBI has already raised the repo rate for the first time in nearly four years, widening the defence to interest rates; further hikes carry real costs for credit and growth in an economy still described as the fastest-growing major one.
– A weaker rupee is not an unambiguous evil: it supports exporters and import substitution, and several economists argue an orderly depreciation is preferable to an expensive stand at an arbitrary line.
– The deeper buffers are structural – export competitiveness, energy diversification, deeper domestic capital markets – and they are built in years, not in trading sessions.
Way Forward
1. Define the objective as smoothing, not defending a level. Communicating that the RBI targets disorderly movement rather than a specific exchange rate preserves credibility when depreciation resumes, as forecasters expect.
2. Publish a clear framework for the derivative restrictions and the oil window, including sunset conditions, so banks and corporations can price compliance rather than guess at scope.
3. Rebuild the reserve buffer opportunistically during periods of rupee strength, treating reserves as insurance to be replenished, not a trophy to be displayed.
4. Accelerate energy diversification – crude sourcing, strategic reserves, and faster electrification of transport – to shrink the single largest channel through which global shocks hit the currency, noting that an economy importing 85 per cent of its fuel carries an exchange-rate exposure no trading rule can hedge away.
5. Deepen domestic capital markets so that financing the current account depends less on skittish portfolio flows; long-tenor domestic institutional money is the durable answer to foreign fickleness.
6. Let fiscal and trade policy share the load: compress non-essential imports through targeted measures rather than emergency appeals, and press ahead with export-promotion agreements that raise the economy’s dollar-earning capacity.
Conclusion
The RBI has won the week; it has not yet won the argument. Its defence has demonstrated capability and bought valuable time, but the same oil prices, outflows and current-account arithmetic that produced the slide toward 97 remain in place, and the defence itself is taxing liquidity, hedging and the bond market. The honest strategy is to use the purchased time – to diversify energy, deepen markets and rebuild reserves – rather than to mistake a successful fortnight for a settled exchange rate. A central bank that knows when to smooth and when to step aside preserves both its ammunition and its credibility; that discipline, not any particular level of the rupee, is the real marker of external-sector strength.
Practice Mains Question
“Exchange-rate intervention can buy time but cannot buy stability.” Critically examine in the light of the RBI’s recent defence of the rupee, discussing the costs of intervention and the structural measures needed to strengthen India’s external sector.
Editorial 2: A super El Nino at the door: water triage is not a climate policy
GS I: Geography – Climatology | GS III: Environment, Agriculture, Disaster Management
Context
When a Chief Minister publicly asks farmers to sacrifice a paddy crop so that cities can drink, climate stress has crossed from forecast into governance. On 15 October 2026, Telangana’s Revanth Reddy made exactly that appeal, urging farmers to forgo one seasonal paddy crop to secure the state’s drinking water for the next eight to ten months. The backdrop is an El Nino that the World Meteorological Organization expects could become the strongest since observations began in 1950, peaking around December. Sea-surface temperature anomalies in the Nino 3.4 region of the equatorial Pacific have already reached 3.4 degrees Celsius above normal – higher than any prior event on record – after a September monthly anomaly of 2.9 degrees that beat both 2015 and 1877. Telangana’s numbers show what such anomalies mean on the ground: a rainfall deficit of nearly 28 per cent by mid-October, reservoirs holding 200 thousand million cubic feet against a normal of 462, and temperatures running 2 to 3 degrees above usual with peak impact expected to persist till February. The state’s distress is an early dispatch from what may be a global emergency, and India’s preparation – in Telangana and beyond – deserves harder scrutiny than it has received.
UPSC Syllabus Mapping
GS I: Important geophysical phenomena such as earthquakes, tsunami, volcanic activity, cyclone etc.; geographical features and their location.
GS III: Major crops and cropping patterns; issues related to direct and indirect farm subsidies and minimum support prices.
GS III: Conservation, environmental pollution and degradation; disaster and disaster management.
Multi-Dimensional Analysis
1. A record-shattering event, still climbing. The present El Nino is not merely strong; it is rewriting the instrumental record.
– Berkeley Earth climate scientist Zeke Hausfather notes that Nino 3.4 anomalies are now 3.4 degrees above normal, exceeding every prior event, with September’s monthly anomaly of 2.9 degrees setting a record against 2015 and 1877.
– Meteorologists tracking the event describe a climb toward a near 4-degree peak in December, which is why the episode is being called not just super but hyper.
– The historical templates – 1982-83, 1997-98 and 2015-16 – may understate this event, because a rapidly warming planet is altering how the phenomenon unfolds; the warm tropical and northern Pacific subdued some typical impacts of the 2023-24 event and may do so again, in either direction.
– The mechanism matters for policy: El Nino weakens the Pacific trade winds and shifts rainfall eastward along the equator, and its teleconnections reorganise monsoon circulation over the Indian Ocean; for India the canonical signature is a weaker southwest monsoon followed by altered northeast monsoon and winter rainfall – precisely the sequence now stressing peninsular reservoirs.
– Each event is distinct in its impacts, so planning from the last super El Nino’s map can misdirect relief to the wrong districts; preparation must be built from current forecasts rather than remembered geography.
2. The economics are staggering and regressive. El Nino is a macroeconomic shock wearing a weather costume.
– Research has estimated the 1997-98 event cut global GDP by 5.7 trillion dollars and the 1982-83 event by 4.1 trillion – for comparison, the 2008 financial crisis reduced global GDP by about 2 trillion.
– A Dartmouth study in Science projects 84 trillion dollars in twenty-first-century losses from amplified ENSO cycles under current mitigation pledges, and the Peterson Institute for International Economics warns that a repeat of 1997-98 intensity could mean 986 billion dollars of losses in 2027 alone, rising to at least 7.2 trillion over five years without early action.
– The burden falls hardest on poor and developing countries where agriculture is both employment and subsistence; UNICEF expects unusual wet and dry extremes to threaten children in nearly 100 countries.
– For India the transmission runs through food inflation: a weak kharif followed by stressed rabi sowing tightens cereal and pulse supplies just as buffer stocks and import policy are tested, linking a Pacific temperature anomaly directly to the consumer price index and to the central bank’s room to support growth.
3. Telangana’s triage reveals the governance gap. The state’s response is honest about scarcity but exposes how late the planning began.
– A Chief Minister’s appeal to skip a crop is, in effect, an admission that demand management has reached its last resort; agriculture consumes the largest share of water, so drinking-water security is being purchased with farm income.
– The operational detail is sobering: officials are assessing water availability in fifteen-day windows, planning 60 million gallons per day of additional supply for Hyderabad’s core urban region against 560 million gallons available across Himayatsagar, Osmansagar, the Manjeera, Krishna and Godavari sources, and urging residents not to wash vehicles with treated supply.
– Paddy has been sown on 5.3 million hectares while farmers have already held back on an estimated 1.3 million; the appeal asks more families to absorb a loss that insurance, compensation and alternative cropping have not been organised to carry.
– The Chief Secretary’s field instructions – protecting standing crops over a crucial fifteen-to-twenty-day window, ensuring uninterrupted agricultural power supply, pressing treated wastewater into non-domestic use – are competent crisis administration, but they are measures designed for a dry spell, not for a deficit approaching a third of seasonal rainfall.
4. Forecast skill is not being converted into decision skill. The science gave months of warning; the policy response is running on fifteen-day cycles.
– Seasonal forecasts identified this El Nino’s build-up well before the monsoon, yet reservoir operations, cropping advisories and urban demand rules are being improvised at the peak.
– India has identified vulnerable districts and mounted drought-proofing activity, and several states have declared drought to unlock relief, but these plans address broad impact categories rather than the specific sequence of a record event.
– The gap is institutional: meteorological agencies issue the forecast, but no authority owns the translation into reservoir rule curves, procurement plans and power allocation until crisis forces coordination.
5. Adaptation finance and equity are the unspoken questions. Asking farmers to sacrifice is a distribution decision, not just a hydrological one.
– Paddy is water-intensive, and shifting acreage to less thirsty crops is sound agronomy; but a voluntary appeal without assured compensation, market support for alternative crops or crop insurance triggers is a request that the poorest absorb the climate’s costs.
– Urban users, industry and agriculture draw from the same stressed sources, yet the public conversation frames sacrifice as rural; equitable triage would publish the allocation rules applying to every sector.
– The episode lands while global food security is already strained by conflict and drought elsewhere, shrinking the international slack that usually cushions domestic shortfalls.
– There is also a political-economy hazard: visible urban hardship triggers emergency spending that vanishes when rains return, while the unglamorous investments – recharge structures, canal lining, crop-diversification incentives – are deferred again, guaranteeing that the next El Nino finds the same vulnerabilities.
Way Forward
1. Convert seasonal forecasts into binding preparedness calendars: reservoir rule curves, cropping advisories and urban water budgets issued at the season’s start, not its crisis.
2. Compensate triage: where governments ask farmers to forgo a crop, attach automatic cash compensation, insurance triggers and assured procurement support for alternative crops in the same announcement.
3. Publish water allocation rules covering agriculture, cities and industry during scarcity, so sacrifice is shared visibly rather than assigned quietly to the countryside.
4. Accelerate structural water security – micro-irrigation, groundwater recharge, wastewater reuse and drought-tolerant varieties – using this event’s evidence to overcome the usual post-crisis amnesia.
5. Build regional coordination on shared river systems so that upstream-downstream allocation under stress is negotiated before reservoirs hit critical levels.
6. Press for El Nino loss accounting in global climate-finance discussions; a 986-billion-dollar annual loss estimate for a single event belongs in the same conversation as adaptation funding pledges.
Conclusion
A Chief Minister praying to farmers for a crop’s sacrifice is a policy failure rendered as poetry: it means the forecast was heard but not heeded in time. This El Nino may be the strongest ever recorded, and no state can be blamed for its arrival – only for meeting it with fifteen-day assessments instead of seasonal plans. The record anomalies in the Pacific will fade by next year, but the lesson should not: in a warming climate, water triage will return, and each return will find India either better prepared or more forgiving of its own unpreparedness. Choosing the former requires compensation for those asked to sacrifice, allocation rules that apply to cities as firmly as to fields, and institutions that own the forecast-to-decision chain before the crisis, not during it.
Practice Mains Question
“Climate forecasts fail not for want of accuracy but for want of institutional response.” Examine with reference to the current El Nino event, Telangana’s water crisis and the reforms needed in India’s climate adaptation governance.
Editorial 3: Citations that do not exist: artificial intelligence at the bar
GS II: Judiciary, Governance | GS III: Science & Technology – AI Ethics
Context
A judgment citation is the smallest unit of trust in the legal system: it tells a court that a proposition has been tested, reasoned and reported. On 15 October 2026, in Deepak Raheja v. Omkara Assets Reconstruction, a Supreme Court Bench of Justices Dipankar Datta and Augustine George Masih discovered that the appellants’ compilation contained judgments that simply do not exist – fabrications bearing the fingerprints of generative artificial intelligence. The Court called it an “undesirable incident”, considered exemplary costs, and relented only on learning that the first appellant had died. The Advocate-on-Record disclaimed knowledge of his own compilation’s contents; senior counsel apologised. Nor is this a first: the Court has previously set aside NCLT and NCLAT orders in the Essel Infraprojects insolvency matter after finding reliance on fake AI-generated precedents. The underlying case – a routine Section 7 insolvency admission against two hotel companies that borrowed 600 crore rupees from Piramal Finance in 2017 – was decided on settled law, and the CIRP will proceed. But the episode deserves more than a footnote, because it lands at the moment Indian courts and law firms are adopting AI tools faster than they are adopting the disciplines those tools demand.
UPSC Syllabus Mapping
GS II: Structure, organisation and functioning of the judiciary; dispute redressal mechanisms and institutions.
GS III: Science and technology – developments and their applications and effects in everyday life; awareness in the fields of IT and computers.
GS IV: Ethics and human interface; accountability and ethical governance.
Multi-Dimensional Analysis
1. The technology fails in a specific, predictable way. Generative AI does not retrieve the law; it generates plausible text about the law.
– Large language models produce fluent, correctly formatted citations to cases that were never decided, complete with convincing party names, paragraph numbers and holdings – a failure mode called hallucination.
– The danger in legal work is precisely the polish: a hallucinated citation is harder to spot than a careless error, because nothing about its surface signals fabrication.
– Detection currently depends on a human checking the citation against an authentic law report; when that human step is skipped under deadline pressure, the fabrication travels into the court record.
– The pattern is now international: courts in the United States have sanctioned lawyers who filed ChatGPT-invented citations, and bar bodies in several jurisdictions have issued warnings; India’s courts are encountering the same failure as adoption spreads here.
– The failure is asymmetric in cost: generating a fake citation takes seconds, while proving one fake requires another lawyer, an opponent or a judge to spend real time – a quiet tax on the whole system, multiplied across every filing in every court where the practice spreads unchecked.
2. The duty chain broke at every link. The Raheja episode is less a technology story than an accountability story.
– An Advocate-on-Record filed a compilation whose contents he told the Court he did not know – an admission that the signature certifying the filing had detached from any act of verification.
– Senior counsel accepted responsibility and apologised on the appellants’ behalf, which settled the etiquette of the moment but not the practice that produced it.
– The Court’s restraint on costs, occasioned by an appellant’s death, should not be read as indulgence: the Essel Infraprojects precedent shows willingness to set aside tribunal orders built on fake precedents, a far costlier consequence.
– The advocate’s obligation is older than any software: as an officer of the court, counsel owes a duty of candour that no tool can discharge, and professional-conduct rules under the Advocates Act already reach misleading the court – what is missing is the translation of that duty into explicit citation-verification practice.
– Responsibility cannot be delegated to the tool or to the client: the signature on a filing is a personal warranty that its contents have been read and believed, and a profession that treats that signature as a formality invites precisely the embarrassment this case produced.
3. Fake precedents poison more than one case. The integrity of adjudication is a commons that individual shortcuts deplete.
– A fabricated citation that passes unchallenged can enter the reasoning of a judgment, and through precedent, contaminate later decisions citing the contaminated one.
– Tribunals with lighter research support – NCLT, consumer forums, tax tribunals – are more exposed than constitutional courts, as the Essel episode demonstrates.
– Opposing counsel and registry staff now carry an additional verification burden for filings they did not prepare, raising the system’s transaction costs invisibly.
– For litigants, the injury is concrete: a client pays for research that was never done, risks costs and credibility when the fabrication is found, and may see a meritorious case tainted by the manner of its presentation – the hotel companies in this case lost on the law, but their cause was not helped by their own side’s compilation.
4. The substance of the case shows the law working despite the noise. The Bench separated the advocacy failure from the legal question and decided the latter cleanly.
– It reaffirmed that Section 7 admission under the Insolvency and Bankruptcy Code turns on the existence of default established through summary assessment, not on exact reconciliation of every rupee of interest or penal charge.
– An authenticated default record from an Information Utility, the Court held, carries a presumption of high evidentiary value, rebuttable only by clear, cogent, credible and compelling material.
– The discipline of that reasoning – unmoved by 600 crore rupees of disputed accounting – is a reminder that doctrine, not documentation theatre, decides insolvency admission.
– The facts repay attention: the two companies borrowed 600 crore rupees in December 2017, added facilities under the pandemic-era Emergency Credit Line Guarantee Scheme, defaulted, and saw the debt assigned to an asset reconstruction company that approached the NCLT in March 2023 – a textbook credit cycle in which the tribunal’s finding of default, once made, was never going to be undone by disputes over the arithmetic of interest.
5. The policy response must professionalise, not prohibit. Courts cannot uninvent AI, and prohibition would sacrifice genuine gains in research access.
– Used honestly, AI tools can democratise legal research for small practices that cannot afford large libraries, narrowing the resource gap between big firms and solo advocates.
– The answer is certification and verification norms: a filing should carry an affirmative statement that every citation has been checked against an authentic source, with named responsibility.
– Courts abroad have begun imposing exactly such duties – disclosure of AI use, mandatory verification, sanctions for fabricated citations – and India’s procedural rules can absorb the same discipline without new legislation.
– There is a access-to-justice dividend if the discipline is right: verified AI assistance could let a district-court lawyer research at a level once reserved for large firms, provided the profession treats the tool as a starting point for reading, never a substitute for it.
Way Forward
1. Bar Council of India and court rules should mandate a verification declaration for citations in every filing, naming the advocate responsible for checking each authority against an official or recognised law report.
2. The Supreme Court’s e-filing ecosystem should integrate citation-validation tools that flag authorities not found in authentic databases before acceptance.
3. Sanction regimes should be graduated and certain: costs for negligent fabrication, professional-conduct reference for repeat or reckless filing, and setting aside of orders built on fake precedent.
4. Law schools and bar training must teach AI literacy as a core competence – what these tools are, how they fail, and why verification is the advocate’s non-delegable duty.
5. Law-report infrastructure needs investment: free, authenticated, machine-readable case law reduces both the temptation and the excuse for unverified sources.
6. Courts should distinguish AI-assisted research from AI-authored submissions in disclosure rules, so that legitimate use is normalised and lazy use is exposed.
Conclusion
The Supreme Court’s phrase – an undesirable incident – is judicial understatement for something closer to a warning light on the instrument panel. Artificial intelligence will sit in every law office within this decade; the question the Raheja case poses is whether verification sits there too. The answer cannot rest on apologies extracted after detection. It must be built into filings, software, sanctions and training, so that the smallest unit of trust in the legal system – the citation – remains worth believing. A profession that signs what it has not read has bigger problems than any chatbot; and a court system that checks every citation is one whose judgments deserve the authority they claim.
Practice Mains Question
“Technology in the courtroom is only as reliable as the professional duties that surround it.” Discuss in the light of AI-generated fake citations in Indian litigation, and suggest regulatory and institutional safeguards.
