Legacy IAS · Bengaluru · UPSC Coaching
The Hindu
UPSC News Analysis
Mains & Prelims | GS I · II · III · IV · Essay
📅 Thursday, May 28, 2026 | Bengaluru Edition
“SC upholds Bihar SIR, CBAM trade rules, AI misinformation, AMCA fighter, Post-Quantum Cryptography, health expenditure & governance vs citizen sacrifice — all mapped for UPSC success.”
7
Articles
GS I–IV
Papers Mapped
7
MCQs
7
Mains Qs
📋 Table of Contents — May 28, 2026
- SC Upholds Bihar SIR: Electoral Rolls, EC Powers & Article 324 GS II · Polity · Elections
- CBAM: Carbon Border Adjustment Mechanism & India’s Trade Challenge GS III · Economy · Environment · IR
- AI Misinformation: Regulation, Identity Manipulation & India’s IT Rules GS III · Science & Tech | GS IV · Ethics
- AMCA Fighter Jet: RFP Issued — India’s 5th Generation Combat Aviation GS III · Science & Tech · Defence
- Post-Quantum Cryptography: National Security & Digital Governance GS III · Science & Tech · Cybersecurity
- National Health Accounts 2022–23: Out-of-Pocket Expenditure Trends GS II · Health · Governance
- Global Crises & ‘Citizen Sacrifice’: The Social Contract in Democratic Governance GS II · Governance | GS IV · Ethics · Essay
⚡ Click any title to jump to that section. Prepared by Legacy IAS, Bengaluru.
GS II – Polity | Elections | Constitutional Law
🗳️ SC Upholds Bihar SIR: EC’s Constitutional Duty to Maintain Pure Electoral Rolls — Article 324
🔹 A. Issue in Brief
- The Supreme Court (CJI Surya Kant bench) upheld the constitutionality of the Special Intensive Revision (SIR) of Bihar’s electoral rolls as a legitimate exercise of the Election Commission’s constitutional duty under Article 324.
- The court dismissed the charge that SIR was a “backdoor attempt at citizenship screening” — holding that the EC is “undoubtedly empowered to examine questions bearing upon citizenship” when preparing electoral rolls.
- Bihar’s final electoral roll (Sept 30, 2025) had 7.42 crore electors, down from 7.89 crore when SIR was notified — a reduction of ~47 lakh names. The judgment impacts the ongoing second phase of SIR in 12 more States/UTs.
🔹 B. Static Background
- Article 324: Vests superintendence, direction, and control of elections in the Election Commission; a “continuous wellspring of power” as per the SC — not merely operational but also preparatory.
- Representation of the People Act, 1950 (RP Act): Governs electoral rolls; Section 21 — Electoral Registration Officer prepares rolls; Section 22 — correction of entries.
- Registration of Electors Rules, 1960: Detailed procedures for revision of electoral rolls; Rule 25 — intensive revision.
- SIR (Special Intensive Revision): A comprehensive revision of electoral rolls — verifying name, age, citizenship, residence status of every elector. Last intensive revision was ~20 years before Bihar SIR.
- Citizenship Act, 1955: Defines and regulates Indian citizenship; competent authority under the Act determines citizenship disputes.
- Congress objection: Alleged the SIR was used to selectively delete voters — “cannot cure malice in implementation” even if legally sanctioned.
- VVPAT time-stamping: SC also forwarded a petition to EC requesting time-stamped VVPAT slips to address “last-hour voting surge” controversies.
🔹 C. Key Dimensions
| Aspect | SC Ruling | Opposition Concern |
|---|---|---|
| Constitutional basis | Article 324 — EC has continuous power over electoral machinery including roll preparation | SIR exceeded EC’s mandate; citizenship determination belongs to MHA/competent authority |
| Citizenship verification | EC empowered to verify citizenship to limited extent (inclusion/exclusion from rolls) | Mass deletions without adequate safeguards; arbitrary process |
| Empirical basis | Large-scale migration, duplication, non-reporting of deaths = “common administrative experience” | No specific data justifying Bihar SIR; politically motivated timing |
| Bihar roll reduction | 47 lakh names deleted — court says safeguards were in place | “Selective deletions” — voters purged then required to appeal through “arbitrary” process |
| Follow-up direction | EC to refer purged names to Centre within 4 weeks for adjudication under Citizenship Act | Should have been done before deletion, not after |
🔄 Flowchart: SIR Process & SC Direction
EC notifies Bihar SIR (June 24, 2025)
→
Intensive verification of all electors
→
47 lakh names deleted (incl. non-citizens, duplicates, dead, migrated)
→
SC upholds SIR (May 28, 2026)
→
SC directs: Refer purged names to Centre for Citizenship Act adjudication within 4 weeks
→
Restore names to rolls if found to be citizens before next elections
🔹 D. Critical Analysis
- Legitimate power, implementation concerns: The SC correctly upheld the EC’s constitutional authority — but legal sanction does not insulate against implementation lapses. The “selective deletion” allegation, if true, represents malice that courts should examine on individual cases.
- Post-deletion adjudication problem: The SC’s direction to refer purged names to Centre only after deletion is a procedurally weak remedy — persons excluded from voter rolls cannot vote in the meanwhile, which is an irreversible harm.
- Citizenship determination separation: The SC correctly noted that EC can verify citizenship for “limited extent” (roll inclusion/exclusion) but final citizenship determination belongs to the competent authority under the Citizenship Act — this distinction is constitutionally important.
- Federalism concern: SIR phase 2 in West Bengal, Tamil Nadu, and Kerala — all opposition-ruled States — raises legitimate questions about timing and political motivation, even if legally sound.
- VVPAT time-stamping: A welcome transparency enhancement — time-stamping would resolve controversies about “last-hour voting surges” that have fuelled electoral credibility concerns.
🔹 E. Way Forward
- EC should institute pre-deletion citizenship adjudication — the Citizenship Act authority should rule before names are removed, not after.
- Implement VVPAT time-stamping to enhance electoral transparency — a low-cost, high-impact reform.
- Establish multi-party oversight committees for electoral roll revision exercises — reduce perception of partisan manipulation.
- Link to Goswami Committee (1990) recommendations on electoral reforms; Law Commission 255th Report (2015) on election law reforms.
- Link to SDG 16 (Peace, Justice, Strong Institutions) and Article 326 (adult suffrage as a fundamental electoral right).
🔹 F. Exam Orientation
Prelims Pointers:
• Article 324: Election Commission — superintendence, direction, control of elections
• SIR (Special Intensive Revision): Comprehensive electoral roll revision — last done ~20 years before Bihar SIR
• Bihar SIR: Notified June 24, 2025; final roll published September 30, 2025; 47 lakh names deleted
• RP Act 1950: Governs electoral rolls; Section 21 — preparation; Section 22 — corrections
• VVPAT: Voter Verifiable Paper Audit Trail — mandatory with all EVMs since 2019 general elections
• CJI who authored the 124-page judgment: Chief Justice Surya Kant
• Second phase SIR: Covers 51 crore voters in 12 States/UTs including WB, TN, Kerala
• Article 324: Election Commission — superintendence, direction, control of elections
• SIR (Special Intensive Revision): Comprehensive electoral roll revision — last done ~20 years before Bihar SIR
• Bihar SIR: Notified June 24, 2025; final roll published September 30, 2025; 47 lakh names deleted
• RP Act 1950: Governs electoral rolls; Section 21 — preparation; Section 22 — corrections
• VVPAT: Voter Verifiable Paper Audit Trail — mandatory with all EVMs since 2019 general elections
• CJI who authored the 124-page judgment: Chief Justice Surya Kant
• Second phase SIR: Covers 51 crore voters in 12 States/UTs including WB, TN, Kerala
📝 Model Mains Question (15 Marks · GS II)
The Supreme Court’s upholding of the Election Commission’s Special Intensive Revision (SIR) of Bihar’s electoral rolls raises important questions about the balance between the EC’s constitutional authority under Article 324, the right to vote, and citizenship determination. Critically analyse the judgment’s implications for electoral democracy in India.
🎯 Probable UPSC Prelims MCQ
Q. Consider the following statements about India’s Election Commission and electoral rolls:
1. The Election Commission derives its powers from Article 324 of the Constitution.
2. The Registration of Electors Rules, 1960, provide for Special Intensive Revision of electoral rolls.
3. The Election Commission has the final authority to determine Indian citizenship.
Which of the above statements is/are correct?
1. The Election Commission derives its powers from Article 324 of the Constitution.
2. The Registration of Electors Rules, 1960, provide for Special Intensive Revision of electoral rolls.
3. The Election Commission has the final authority to determine Indian citizenship.
Which of the above statements is/are correct?
- 1 and 2 only
- 2 and 3 only
- 1 and 3 only
- 1, 2 and 3
✅ Answer: (A) 1 and 2 only
Explanation: Article 324 vests superintendence of elections in EC — Statement 1 correct. Registration of Electors Rules 1960 (Rule 25) provides for intensive revision — Statement 2 correct. Final citizenship determination belongs to the competent authority under the Citizenship Act, not EC — SC explicitly clarified this in the Bihar SIR judgment — Statement 3 is wrong.
GS III – Economy | Environment | International Trade
🌍 CBAM: Carbon Border Adjustment Mechanism — The New Rules Shaping India’s Trade
🔹 A. Issue in Brief
- The EU’s Carbon Border Adjustment Mechanism (CBAM) entered its definitive phase from January 1, 2026 — imposing a carbon-linked charge on imports of steel, cement, aluminium, fertilizers, electricity, and hydrogen based on their embedded carbon emissions.
- India’s steel and aluminium exports to the EU face immediate competitive disadvantage, as Indian production remains carbon-intensive. Even with India-EU FTA negotiations ongoing, CBAM will apply.
- India faces both a direct export impact (costlier steel/aluminium exports) and an indirect fertilizer import impact (CBAM raises costs for Russia, Egypt, Morocco, China — India’s fertilizer suppliers — potentially increasing India’s fertilizer import bill).
🔹 B. Static Background
- CBAM: Proposed July 2021; transitional phase October 2023–December 2025 (reporting only); definitive phase from January 1, 2026 — actual carbon levy begins.
- Carbon leakage: When carbon-intensive production shifts from high-carbon-tax countries to low-carbon-tax countries to avoid costs — defeating the purpose of carbon pricing. CBAM prevents this by equalising carbon costs at the border.
- EU ETS (Emissions Trading System): EU’s carbon pricing mechanism since 2005; industries within EU pay for carbon emissions; CBAM extends this to imports.
- India’s carbon pricing status: India launched the Carbon Credit Trading Scheme (CCTS) in 2023 under the Energy Conservation (Amendment) Act, 2022 — but is at an early stage.
- Sectors affected: CBAM Phase 1 — steel, cement, aluminium, fertilizers, electricity, hydrogen. Future phases may include plastics, chemicals, other industrial products.
- India-EU FTA: Negotiations resumed in June 2022 after 8 years of pause; ongoing — but CBAM charges are separate from tariff concessions.
🔹 C. Key Dimensions
| CBAM Impact on India | Direct Effect | Indirect Effect |
|---|---|---|
| Steel exports to EU | Carbon levy raises export cost; India must pay for embedded emissions | Loss of EU market share to cleaner producers (South Korea, Japan) |
| Aluminium exports | Indian aluminium = coal-power intensive; high levy burden | Investment needed in green aluminium smelting |
| Fertilizer imports | — | India’s fertilizer suppliers (Russia, Egypt) face EU CBAM; may raise global fertilizer prices → India’s import bill rises |
| Comparative advantage | Shifts from cost-efficiency to carbon-efficiency | Countries with clean energy (Norway, Canada) gain advantage |
| India’s domestic CCTS | If India’s carbon price credits are recognised by EU, CBAM payment may be reduced | Incentive to accelerate India’s own carbon market development |
🧠 Mind Map: India’s CBAM Response Strategy
Domestic Decarbonisation
Accelerate renewable energy in steel/aluminium production; green hydrogen for DRI steelCarbon Market Development
Strengthen India’s CCTS (2023) — EU recognition could reduce CBAM levy burdenInternational Negotiation
Demand phased transition, technology transfer, and differentiated treatment for developing countriesFertilizer Independence
Reduce import dependence through domestic production; Soil Health Cards; nano-urea scale-upWTO Challenge
India may challenge CBAM at WTO as discriminatory non-tariff barrier — CBAM’s WTO compliance is contestedFTA Leverage
Use India-EU FTA negotiations to embed CBAM transitional support and technology transfer clauses🔹 D. Critical Analysis
- Climate justice dimension: India has contributed far less to historical cumulative emissions than EU countries — CBAM places the current decarbonisation burden on developing countries that built their carbon-intensive industries to escape poverty, while EU industrialised freely for centuries.
- WTO compliance concerns: CBAM’s WTO legality is contested — it may violate Most-Favoured-Nation (MFN) and National Treatment principles under GATT. Several developing countries including India have raised concerns.
- Structural competitiveness shift: Comparative advantage is no longer determined by labour costs or tariffs alone — carbon efficiency of production processes now shapes market access. India’s carbon-intensive manufacturing base is structurally disadvantaged.
- Indirect fertilizer impact: Often overlooked — if Russia, Egypt, Morocco face EU CBAM, higher global fertilizer prices directly impact Indian farmers, who already receive ₹2+ lakh crore annual fertilizer subsidies.
- India’s CCTS opportunity: If India develops a credible carbon market and the EU recognises it, CBAM payments can be offset — incentivising India to build carbon pricing infrastructure faster.
🔹 E. Way Forward
- Accelerate Green Steel Mission — transition to green hydrogen-based DRI (Direct Reduced Iron) steelmaking; decarbonise India’s steel sector by 2035.
- Strengthen Carbon Credit Trading Scheme (CCTS) — seek EU recognition of Indian carbon credits to offset CBAM charges.
- Use WTO dispute settlement to challenge CBAM’s compatibility with MFN and National Treatment principles under GATT Article I and III.
- Embed CBAM transition clauses in India-EU FTA — technology transfer, carbon-reduction financing, phased compliance timelines.
- Expand domestic fertilizer production; scale up nano-urea, Soil Health Cards to reduce fertilizer import dependence.
- Link to SDG 13 (Climate Action), SDG 9 (Industry and Innovation), India’s 2070 Net Zero commitment.
🔹 F. Exam Orientation
Prelims Pointers:
• CBAM: EU Carbon Border Adjustment Mechanism; proposed 2021; definitive phase from January 1, 2026
• Carbon leakage: Production shifts to avoid carbon costs — CBAM prevents this
• EU ETS: EU Emissions Trading System — operating since 2005
• India’s CCTS: Carbon Credit Trading Scheme — launched 2023 under Energy Conservation (Amendment) Act 2022
• CBAM sectors (Phase 1): Steel, cement, aluminium, fertilizers, electricity, hydrogen
• India-EU FTA: Negotiations resumed June 2022 (after 8-year pause)
• Green DRI: Direct Reduced Iron using green hydrogen — key to decarbonising steel
• CBAM: EU Carbon Border Adjustment Mechanism; proposed 2021; definitive phase from January 1, 2026
• Carbon leakage: Production shifts to avoid carbon costs — CBAM prevents this
• EU ETS: EU Emissions Trading System — operating since 2005
• India’s CCTS: Carbon Credit Trading Scheme — launched 2023 under Energy Conservation (Amendment) Act 2022
• CBAM sectors (Phase 1): Steel, cement, aluminium, fertilizers, electricity, hydrogen
• India-EU FTA: Negotiations resumed June 2022 (after 8-year pause)
• Green DRI: Direct Reduced Iron using green hydrogen — key to decarbonising steel
📝 Model Mains Question (15 Marks · GS III)
The EU’s Carbon Border Adjustment Mechanism (CBAM), which entered its definitive phase in January 2026, poses significant challenges for India’s export-oriented industries and fertilizer security. Critically examine CBAM’s impact on India and suggest a two-pronged strategy of domestic reform and international negotiation to address the challenge.
🎯 Probable UPSC Prelims MCQ
Q. With reference to the EU’s Carbon Border Adjustment Mechanism (CBAM), consider the following:
1. CBAM imposes a carbon-linked charge on imports based on their embedded carbon emissions.
2. India’s steel and aluminium sectors are among the most immediately affected by CBAM.
3. CBAM applies only to goods from countries that have no domestic carbon pricing mechanism.
Which of the above is/are correct?
1. CBAM imposes a carbon-linked charge on imports based on their embedded carbon emissions.
2. India’s steel and aluminium sectors are among the most immediately affected by CBAM.
3. CBAM applies only to goods from countries that have no domestic carbon pricing mechanism.
Which of the above is/are correct?
- 1 and 2 only
- 2 and 3 only
- 1, 2 and 3
- 1 only
✅ Answer: (A) 1 and 2 only
Explanation: CBAM charges based on embedded emissions — Statement 1 correct. India’s steel and aluminium are carbon-intensive and EU-export-oriented — Statement 2 correct. CBAM applies to all imports regardless of whether the exporting country has a carbon price — but the levy is reduced if the exporter’s domestic carbon price is recognised by the EU — Statement 3 is wrong.
GS III – Science & Technology | GS IV – Ethics | Digital Governance
🤖 AI Misinformation: Deepfakes, Identity Manipulation & India’s Regulatory Framework
🔹 A. Issue in Brief
- Modern generative AI systems (like ChatGPT’s multimodal image generation) can produce photorealistic, text-heavy images indistinguishable from authentic documents — research papers, degree certificates, passbooks — creating unprecedented misinformation and identity theft risks.
- India’s recently amended Information Technology Rules, 2026 mandate disclosure of AI-generated content and impose a 3-hour removal window upon government notification or court order for synthetic content.
- The issue extends to cybercrimes, celebrity personality rights, AI-generated court submissions — courts including the Supreme Court and Bombay HC have imposed costs on lawyers using unverified AI-generated arguments.
🔹 B. Static Background
- Information Technology Act, 2000: Governs cybercrimes, intermediary liability; Section 66D — cheating by personation using computer resources; Section 43A — data protection.
- IT (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021: Established Safe Harbour for intermediaries; required content removal within timelines; established Grievance Appellate Committees.
- IT Rules, 2026 (amended): Mandate disclosure of AI-generated/altered content; 3-hour synthetic content removal; 36-hour personal complaint resolution.
- CERT-In (Computer Emergency Response Team): Nodal agency for cybersecurity; handles vulnerability disclosures — but has been slow in responding to platform vulnerabilities (CBSE OSM portal case).
- Digital Personal Data Protection Act, 2023 (DPDPA): Governs personal data; but AI-generated synthetic identities may fall in gaps.
- Global comparison: EU’s AI Act (2024) — world’s first comprehensive AI regulation; classifies AI by risk level; requires transparency, human oversight for high-risk AI. China — requires watermarking of AI-generated content. US — no comprehensive federal AI law yet.
🔹 C. Key Dimensions
🧠 Mind Map: AI Misinformation — Types & Impacts
Document Forgery
AI-generated degree certificates, mark sheets, research papers — undermines academic and institutional credibilityIdentity Theft
Synthetic faces, voice cloning, deepfake videos — cybercrimes, financial fraud, reputational damagePersonality Rights
Celebrities filing HC petitions against unauthorised AI use of likeness — India has no specific law yetJudicial Risk
AI-generated fake case citations submitted in courts — SC, Bombay HC imposed costs on lawyersMisinformation
AI news images, fake political speeches — threatens electoral integrity and public discourseRegulatory Gap
India’s IT Rules 2026 are a step forward but no comprehensive AI law; DPDPA incomplete in implementation| Country | AI Regulation | Key Feature |
|---|---|---|
| European Union | EU AI Act (2024) | Risk-based classification; prohibits biometric surveillance; transparency requirements |
| China | Generative AI Rules (2023) | Mandatory watermarking; content review; registration of AI services |
| USA | Executive Order on AI (2023) | Voluntary commitments; no comprehensive federal law; sector-specific guidelines |
| India | IT Rules 2026 (amended) | AI content disclosure; 3-hour removal; 36-hour complaint resolution; no comprehensive AI Act |
🔹 D. Critical Analysis
- 3-hour removal timeline — impractical: AI-generated content spreads exponentially on social media; a 3-hour window from court order or government notification is operationally challenging and may not prevent viral spread.
- No comprehensive AI legislation: India’s IT Rules 2026 are amendments to existing rules — not a comprehensive AI governance framework. India lacks risk-based classification, mandatory impact assessments, or liability frameworks comparable to the EU AI Act.
- Personality rights gap: Celebrities seek High Court remedies for AI misuse of likeness — but India has no specific statutory protection for personality rights. This needs legislative intervention, not just judicial remedies.
- CERT-In capacity gap: Despite receiving vulnerability disclosures (like the CBSE OSM portal), CERT-In’s response has been slow — indicating capacity and priority gaps in India’s cybersecurity architecture.
- Digital literacy gap: The most effective long-term solution is AI literacy — but India’s digital literacy programmes (PMGDISHA) focus on basic digital skills, not critical AI content evaluation.
🔹 E. Way Forward
- Enact a comprehensive AI Governance Act — risk-based classification, mandatory impact assessments for high-risk AI, algorithmic transparency requirements.
- Mandate AI content watermarking/provenance for all generative AI platforms operating in India — technical standard (like C2PA) to identify AI-generated content.
- Legislate personality rights protection — statutory right against unauthorised commercial use of likeness, voice, and identity through AI.
- Strengthen CERT-In with dedicated AI security division — faster vulnerability response; mandatory reporting timelines for AI platform security issues.
- Scale up AI literacy under PMGDISHA and NEP 2020 digital education framework — critical evaluation of AI content as a core digital skill.
- Link to SDG 9 (Responsible Innovation), SDG 16 (Justice and Accountable Institutions), Article 19(1)(a) (freedom of speech must be balanced with right to accurate information).
🔹 F. Exam Orientation
Prelims Pointers:
• IT Rules 2026: Mandate AI content disclosure; 3-hour synthetic content removal; 36-hour personal complaint resolution
• CERT-In: Computer Emergency Response Team — India’s nodal cybersecurity agency under MeitY
• EU AI Act (2024): World’s first comprehensive AI regulation; risk-based approach
• DPDPA 2023: Digital Personal Data Protection Act — not yet fully operational
• C2PA: Coalition for Content Provenance and Authenticity — technical standard for AI content watermarking
• PMGDISHA: Pradhan Mantri Gramin Digital Saksharta Abhiyan — basic digital literacy programme
• Section 66D, IT Act: Cheating by personation using computer resources — relevant for AI identity fraud
• IT Rules 2026: Mandate AI content disclosure; 3-hour synthetic content removal; 36-hour personal complaint resolution
• CERT-In: Computer Emergency Response Team — India’s nodal cybersecurity agency under MeitY
• EU AI Act (2024): World’s first comprehensive AI regulation; risk-based approach
• DPDPA 2023: Digital Personal Data Protection Act — not yet fully operational
• C2PA: Coalition for Content Provenance and Authenticity — technical standard for AI content watermarking
• PMGDISHA: Pradhan Mantri Gramin Digital Saksharta Abhiyan — basic digital literacy programme
• Section 66D, IT Act: Cheating by personation using computer resources — relevant for AI identity fraud
📝 Model Mains Question (15 Marks · GS III + GS IV)
Generative AI has created unprecedented capabilities for identity manipulation, document forgery, and misinformation at scale. Critically examine the adequacy of India’s current regulatory framework for governing AI-generated content and suggest what a comprehensive AI governance architecture should look like.
🎯 Probable UPSC Prelims MCQ
Q. With reference to India’s regulatory framework for Artificial Intelligence (AI), which of the following statements is/are correct?
1. India’s Information Technology Rules, 2026 mandate disclosure of AI-generated content.
2. India has enacted a comprehensive AI Governance Act similar to the EU AI Act.
3. CERT-In is India’s nodal agency for cybersecurity under the Ministry of Electronics and IT.
Select the correct answer:
1. India’s Information Technology Rules, 2026 mandate disclosure of AI-generated content.
2. India has enacted a comprehensive AI Governance Act similar to the EU AI Act.
3. CERT-In is India’s nodal agency for cybersecurity under the Ministry of Electronics and IT.
Select the correct answer:
- 1 and 3 only
- 2 and 3 only
- 1, 2 and 3
- 1 only
✅ Answer: (A) 1 and 3 only
Explanation: IT Rules 2026 do mandate AI content disclosure — Statement 1 correct. India has NOT enacted a comprehensive AI Act; IT Rules 2026 are amendments, not a comprehensive law — Statement 2 wrong. CERT-In is under MeitY — Statement 3 correct.
GS III – Science & Technology | Defence | Make in India
✈️ AMCA Fighter Jet: RFP Issued to Private Firms — India’s 5th Generation Combat Aviation Leap
🔹 A. Issue in Brief
- The Ministry of Defence issued the Request for Proposal (RFP) for India’s indigenous Advanced Medium Combat Aircraft (AMCA) programme to three shortlisted bidders: (a) L&T-BEL combine, (b) Tata Advanced Systems, (c) Bharat Forge-BEML consortium.
- Notably, HAL (Hindustan Aeronautics Ltd.) has been excluded from this phase — marking a significant shift toward private sector-led defence manufacturing under Make in India.
- AMCA is India’s fifth-generation stealth fighter — featuring advanced avionics, supercruise capability, reduced radar signature. Five prototypes to be built; infrastructure foundation laid at Sri Sathya Sai district, Andhra Pradesh (₹15,803 crore).
🔹 B. Static Background
- AMCA: Developed by Aeronautical Development Agency (ADA) under Ministry of Defence; single-engine, twin-engine stealth multirole fighter. Projected to replace Jaguar and MiG-29 in Indian Air Force.
- Fifth-generation fighters: Characteristics — all-aspect stealth (low radar cross-section), supercruise (supersonic flight without afterburner), AESA radar, advanced avionics, internal weapons bay. Global examples: US F-22, F-35; Russia Su-57; China J-20.
- Defence Procurement Procedure (DPP) / Defence Acquisition Procedure (DAP 2020): Categorises procurements by level of indigenisation; AMCA falls under ‘Make in India’ category — private sector partnership with ADA.
- HAL exclusion: HAL is currently manufacturing Tejas Mk1A (Light Combat Aircraft); AMCA’s complexity and private sector competition rationale cited for exclusion.
- Tejas programme: India’s first indigenously developed LCA; Tejas Mk1A — 83 aircraft ordered for IAF; Tejas Mk2 (Medium Weight Fighter) also in development. Tejas is 4th generation; AMCA will be 5th.
🔹 C. Key Dimensions
| Feature | AMCA | Global 5th Gen Comparison |
|---|---|---|
| Stealth | All-aspect low RCS; internal weapons bay | F-22/F-35 (US), J-20 (China), Su-57 (Russia) |
| Propulsion | Initially Kaveri derivative or GE-414; indigenous engine development ongoing | F-22 uses Pratt & Whitney F119 (supercruise capable) |
| Avionics | AESA radar; advanced EW systems | F-35 has most advanced AESA in service |
| Development model | ADA + private sector (L&T/Tata/Bharat Forge) | F-35: Lockheed Martin + international consortium |
| Timeline | 5 prototypes; induction expected ~2035 | F-35 took ~20 years from concept to IOC |
🔹 D. Critical Analysis
- Private sector inclusion — transformative: Including L&T, Tata Advanced Systems, Bharat Forge signals India’s genuine commitment to building a private defence industrial base — a prerequisite for becoming a defence exporter.
- HAL exclusion — strategic risk: HAL possesses irreplaceable institutional knowledge of aircraft manufacturing (Tejas, Sukhoi Su-30MKI production). Excluding it entirely from AMCA development may create capability gaps — a hybrid model would have been optimal.
- Engine dependency: India’s Kaveri engine programme has faced decades of delays — AMCA prototype will likely use imported engines (GE-414). Indigenous engine development remains the most critical bottleneck for genuine self-reliance.
- Timeline realism: AMCA is projected for induction ~2035 — but India’s defence programmes have historically faced delays (Tejas took 30+ years from 1984 to IOC in 2016). Managing programme timeline is a key governance challenge.
- Strategic necessity: China’s J-20 is already operational; Pakistan is acquiring J-35 — India faces a growing 5th-generation fighter gap that AMCA must eventually bridge, alongside MRFA (Medium Role Fighter Aircraft) procurement for interim capability.
🔹 E. Way Forward
- Establish a dedicated AMCA Programme Office with integrated timelines and accountability — avoid the institutional diffusion that delayed Tejas.
- Fast-track indigenous aero-engine development under DRDO’s Gas Turbine Research Establishment (GTRE) — the Kaveri engine successor must be operational before AMCA induction.
- Build defence MSME ecosystem around the three private bidders — ensure technology transfer percolates to Tier-2 and Tier-3 suppliers for genuine indigenisation.
- Pursue Joint Development partnerships for critical systems — AESA radar, electronic warfare suites — with France (Rafale technology), US (GE), or Israel.
- Link to DPP 2020, iDEX (Innovations for Defence Excellence), India’s Defence Export target of ₹50,000 crore by 2029.
🔹 F. Exam Orientation
Prelims Pointers:
• AMCA: Advanced Medium Combat Aircraft — 5th generation stealth fighter; developed by ADA under MoD
• ADA: Aeronautical Development Agency — under MoD; also developed Tejas LCA
• AMCA shortlisted bidders: L&T-BEL combine, Tata Advanced Systems, Bharat Forge-BEML consortium
• HAL: Hindustan Aeronautics Ltd. — public sector; excluded from AMCA RFP process
• Tejas Mk1A: 83 aircraft ordered for IAF; IOC achieved 2016; manufactured by HAL
• 5th gen characteristics: All-aspect stealth, supercruise, AESA radar, internal weapons bay
• GTRE: Gas Turbine Research Establishment — DRDO lab developing India’s indigenous aero-engine (Kaveri)
• AMCA: Advanced Medium Combat Aircraft — 5th generation stealth fighter; developed by ADA under MoD
• ADA: Aeronautical Development Agency — under MoD; also developed Tejas LCA
• AMCA shortlisted bidders: L&T-BEL combine, Tata Advanced Systems, Bharat Forge-BEML consortium
• HAL: Hindustan Aeronautics Ltd. — public sector; excluded from AMCA RFP process
• Tejas Mk1A: 83 aircraft ordered for IAF; IOC achieved 2016; manufactured by HAL
• 5th gen characteristics: All-aspect stealth, supercruise, AESA radar, internal weapons bay
• GTRE: Gas Turbine Research Establishment — DRDO lab developing India’s indigenous aero-engine (Kaveri)
📝 Model Mains Question (10 Marks · GS III)
The issuance of the RFP for India’s Advanced Medium Combat Aircraft (AMCA) programme to private defence companies marks a significant milestone in India’s defence self-reliance. Critically examine the strategic significance of AMCA and the key challenges in India’s fifth-generation fighter development programme.
🎯 Probable UPSC Prelims MCQ
Q. With reference to India’s Advanced Medium Combat Aircraft (AMCA) programme, which of the following is/are correct?
1. AMCA is being developed by the Aeronautical Development Agency (ADA) under the Ministry of Defence.
2. AMCA will be India’s first fifth-generation stealth fighter aircraft.
3. Hindustan Aeronautics Limited (HAL) is the lead production partner for AMCA.
Select the correct answer:
1. AMCA is being developed by the Aeronautical Development Agency (ADA) under the Ministry of Defence.
2. AMCA will be India’s first fifth-generation stealth fighter aircraft.
3. Hindustan Aeronautics Limited (HAL) is the lead production partner for AMCA.
Select the correct answer:
- 1 and 2 only
- 2 and 3 only
- 1, 2 and 3
- 1 only
✅ Answer: (A) 1 and 2 only
Explanation: ADA under MoD is the developing agency — Statement 1 correct. AMCA will be India’s first 5th generation fighter (Tejas is 4th generation) — Statement 2 correct. HAL has been excluded from the AMCA RFP process; private sector (L&T-BEL, Tata, Bharat Forge-BEML) are the shortlisted bidders — Statement 3 wrong.
GS III – Science & Technology | Cybersecurity | Digital Governance
🔐 Post-Quantum Cryptography: India’s Critical Sectors Must Migrate by 2029 — DST Task Force
🔹 A. Issue in Brief
- A DST (Department of Science and Technology) task force has recommended that India’s critical sectors — government, defence, power, telecom, transport, banking — begin a phased migration to Post-Quantum Cryptography (PQC) by 2029.
- The warning: quantum computers can break current public-key cryptography (RSA, ECC) that secures all digital communications — creating a potential “harvest now, decrypt later” threat where adversaries store encrypted data today for future quantum decryption.
- The task force report was prepared under India’s National Quantum Mission (NQM) — approved by Cabinet in April 2023 with a ₹6,003.65 crore outlay through 2030–31.
🔹 B. Static Background
- Cryptography basics: Public-key cryptography (RSA, ECC) secures internet communications, bank transactions, government data. Its security rests on mathematical problems (factoring large numbers) that are computationally hard for classical computers.
- Quantum threat: Shor’s Algorithm — a quantum algorithm that can factor large numbers exponentially faster than classical computers, breaking RSA/ECC. A sufficiently large quantum computer could crack current encryption.
- Post-Quantum Cryptography (PQC): New encryption algorithms designed to run on ordinary computers but resist quantum attacks — based on mathematical problems (lattice problems, hash functions) that quantum computers cannot solve efficiently.
- NIST PQC standardisation: US National Institute of Standards and Technology finalised 3 PQC algorithms in August 2024 — CRYSTALS-Kyber (key encapsulation), CRYSTALS-Dilithium, FALCON (digital signatures) — global standard.
- National Quantum Mission (NQM): Approved April 2023; ₹6,003.65 crore; 4 thematic hubs at IISc and IITs; covers quantum computing, communication, sensing, and materials.
- Critical Information Infrastructure (CII): Under IT Act, Section 70 — designated by CERT-In; failure can have debilitating impact on national security, economy, public health.
🔹 C. Key Dimensions
🔄 Flowchart: PQC Migration Timeline (DST Task Force)
2026–27: Lay foundations — inventory current cryptographic systems; pilot PQC in select CII sectors
→
2027–28: Migrate high-priority systems — defence, banking, power grid
→
2028–29: Full PQC adoption across all CII sectors
→
2029 onwards: Remaining enterprises — relaxed schedule
| Threat | Current Vulnerability | PQC Solution |
|---|---|---|
| “Harvest now, decrypt later” | Adversaries store encrypted data today; decrypt when quantum computers mature | Migrate to PQC before quantum computers become capable |
| Digital signatures | RSA-based signatures vulnerable to Shor’s algorithm | CRYSTALS-Dilithium, FALCON (NIST standards) |
| Key exchange | Diffie-Hellman / ECC vulnerable | CRYSTALS-Kyber (NIST standard) |
| Banking security | HTTPS, digital banking transactions — RSA-secured | Hybrid classical-PQC transition; gradual migration |
| Government communications | Classified communications encrypted with classical methods | Priority migration under accelerated track by 2028 |
🔹 D. Critical Analysis
- Timeline is achievable but demanding: Full CII PQC adoption by 2029 is ambitious — enterprise legacy systems (especially in banking, power) have long upgrade cycles. A phased hybrid approach (classical + PQC simultaneously) may be more realistic.
- Quantum computers not yet a practical threat: Current quantum computers (including IBM’s 1000+ qubit systems) are too error-prone to break RSA. However, the “harvest now” threat is real — adversaries are already storing data. Migration cannot wait.
- Supply chain concern: PQC algorithms require new hardware and software — India’s dependence on foreign semiconductor and software supply chains creates a risk of backdoored PQC implementations.
- Awareness gap: India’s banking sector, power utilities, and telecom companies are largely unaware of quantum threats — awareness and capacity building must precede technical migration.
- India’s quantum computing status: India has a 5-qubit quantum computer (C-DAC) — far from the scale needed to threaten encryption. But adversaries (US, China) are advancing rapidly.
🔹 E. Way Forward
- Mandate crypto-agility in all government IT systems — design systems to easily swap cryptographic algorithms without full replacement, enabling smoother PQC transition.
- Adopt NIST PQC standards (CRYSTALS-Kyber, Dilithium, FALCON) as India’s national standard — coordinate through BIS (Bureau of Indian Standards).
- Develop indigenous PQC implementation capability — IIT/IISc research; DRDO cryptography labs; domestic implementation to avoid foreign-backdoored algorithms.
- Establish National Quantum Security Board under CERT-In — coordinate PQC migration across CII sectors; certify compliant systems.
- Link to National Quantum Mission, India Semiconductor Mission, Digital India, and SDG 9 (Innovation Infrastructure).
🔹 F. Exam Orientation
Prelims Pointers:
• PQC (Post-Quantum Cryptography): New encryption algorithms resistant to quantum computer attacks
• Shor’s Algorithm: Quantum algorithm that can break RSA/ECC encryption — the core quantum cryptographic threat
• NIST PQC Standards (2024): CRYSTALS-Kyber, CRYSTALS-Dilithium, FALCON — globally standardised PQC algorithms
• National Quantum Mission (NQM): Approved April 2023; ₹6,003.65 crore; 4 hubs at IISc and IITs
• CII (Critical Information Infrastructure): Under IT Act Section 70 — designated by CERT-In; 13 sectors in India
• C-DOT: Centre for Development of Telematics — telecom R&D; task force chaired by C-DOT CEO
• “Harvest now, decrypt later”: Storing encrypted data today to decrypt with future quantum computers
• PQC (Post-Quantum Cryptography): New encryption algorithms resistant to quantum computer attacks
• Shor’s Algorithm: Quantum algorithm that can break RSA/ECC encryption — the core quantum cryptographic threat
• NIST PQC Standards (2024): CRYSTALS-Kyber, CRYSTALS-Dilithium, FALCON — globally standardised PQC algorithms
• National Quantum Mission (NQM): Approved April 2023; ₹6,003.65 crore; 4 hubs at IISc and IITs
• CII (Critical Information Infrastructure): Under IT Act Section 70 — designated by CERT-In; 13 sectors in India
• C-DOT: Centre for Development of Telematics — telecom R&D; task force chaired by C-DOT CEO
• “Harvest now, decrypt later”: Storing encrypted data today to decrypt with future quantum computers
📝 Model Mains Question (10 Marks · GS III)
Post-Quantum Cryptography (PQC) has emerged as a critical national security requirement as quantum computing capabilities advance globally. Explain what PQC is, why India’s DST task force considers migration urgent, and outline the key challenges India faces in implementing PQC across its critical information infrastructure.
🎯 Probable UPSC Prelims MCQ
Q. Consider the following about India’s National Quantum Mission (NQM):
1. NQM was approved by the Union Cabinet in April 2023.
2. NQM has a total outlay of ₹6,003.65 crore through 2030–31.
3. NQM is implemented through four thematic hubs located exclusively at IITs.
Which of the above statements is/are correct?
1. NQM was approved by the Union Cabinet in April 2023.
2. NQM has a total outlay of ₹6,003.65 crore through 2030–31.
3. NQM is implemented through four thematic hubs located exclusively at IITs.
Which of the above statements is/are correct?
- 1 and 2 only
- 2 and 3 only
- 1, 2 and 3
- 1 only
✅ Answer: (A) 1 and 2 only
Explanation: NQM approved April 2023 — Statement 1 correct. ₹6,003.65 crore outlay through 2030–31 — Statement 2 correct. The four thematic hubs are at IISc AND IITs (not exclusively IITs) — Statement 3 is wrong.
GS II – Health | Social Justice | Governance
🏥 National Health Accounts 2022–23: Out-of-Pocket Expenditure Falls to 43.4% — Progress and Gaps
🔹 A. Issue in Brief
- The National Health Accounts (NHA) 2022–23 — the 10th such report — shows India’s Out-of-Pocket Expenditure (OOPE) on health has fallen from 64.2% (2013–14) to 43.4% (2022–23) — a 21 percentage point decline in a decade.
- Government health expenditure as % of GDP rose from 1.15% (2013–14) to 1.43% (2022–23); per capita government health spending increased 2.7 times (₹1,042 → ₹2,786).
- The Ministry credits this to the operationalisation of 1.8 lakh Ayushman Arogya Mandirs and Ayushman Bharat-PM Jan Arogya Yojana (AB-PMJAY) — though private health insurance share also rose (3.4% → 9.2%).
🔹 B. Static Background
- National Health Accounts (NHA): Annual health expenditure tracking using System of Health Accounts (2011 SHA) framework — prepared by NHATS (National Health Accounts Technical Secretariat) under MoHFW.
- OOPE: Health expenses paid directly by individuals — not covered by insurance or government programmes. High OOPE pushes families into poverty (“catastrophic health expenditure”).
- Ayushman Bharat – PM Jan Arogya Yojana (AB-PMJAY): Launched 2018; covers 55 crore beneficiaries (bottom 40%); ₹5 lakh/family/year hospitalisation cover — world’s largest government-funded health insurance scheme.
- Ayushman Arogya Mandirs (AAMs): Previously Health and Wellness Centres (HWCs); renamed; 1.8 lakh operational; free services for 12 health conditions including NCDs; primary care NCD screening.
- National Health Policy 2017: Target — government health expenditure to reach 2.5% of GDP by 2025 — significantly off track (only 1.43% in 2022–23).
- WHO Sustainable Development Goal 3.8: Universal Health Coverage (UHC) — financial risk protection, access to quality essential services, safe medicines.
🔹 C. Key Dimensions
| Indicator | 2013–14 | 2022–23 | Change |
|---|---|---|---|
| OOPE as % of total health expenditure | 64.2% | 43.4% | ↓ -20.8 pp |
| Govt. health expenditure as % of GDP | 1.15% | 1.43% | ↑ +0.28 pp |
| Per capita govt. health spending | ₹1,042 | ₹2,786 | ↑ 2.7x increase |
| Private health insurance share | 3.4% | 9.2% | ↑ +5.8 pp |
| Social security expenditure share | 6.0% | 9.9% | ↑ Rising protection |
| Govt. health exp as % of general govt. exp | 3.78% | 4.89% | ↑ Increasing priority |
🔹 D. Critical Analysis
- Progress is real but insufficient: OOPE falling from 64.2% to 43.4% is significant, but 43.4% remains very high globally — WHO suggests <20% OOPE as a benchmark for universal health coverage. India still pushes millions into catastrophic health expenditure annually.
- GDP target gap: NHP 2017 targeted 2.5% of GDP by 2025 — current level (1.43%) is barely past the halfway mark. India spends far less than comparable economies (China: 5.4% of GDP; Brazil: 9.5%; South Africa: 8.6%).
- OOPE driver shift: The main remaining OOPE driver is purchase of pharmaceuticals, vitamins, protein supplements from wellness centres — suggesting many people are purchasing non-essential items, which may inflate the OOPE figure somewhat.
- Private insurance growth is double-edged: Rising private insurance (3.4% → 9.2%) is positive for coverage, but private insurance often excludes pre-existing conditions and focuses on urban populations — not ideal for universal health coverage.
- Women’s health gap (Data Point): Despite outliving men, women’s Healthy Life Expectancy (HALE) barely exceeds men’s — India’s female OOPE burden (anaemia in 53.7% of women, domestic violence, high healthcare-seeking inequality) compounds this.
🔹 E. Way Forward
- Urgently increase public health expenditure to 2.5% of GDP — as committed in NHP 2017 and as necessary for UHC achievement.
- Expand AB-PMJAY coverage to all Indians (not just bottom 40%) and include outpatient care — current coverage only covers hospitalisation, not OPD which is the primary OOPE driver.
- Strengthen generic medicines policy — Jan Aushadhi Kendras (affordable generics) can significantly reduce pharmaceutical OOPE.
- Mandate free outpatient medicines at Ayushman Arogya Mandirs for all NCD conditions — reducing the pharmaceutical supplementation OOPE.
- Link to SDG 3.8 (Universal Health Coverage), SDG 1.3 (Social protection systems), India’s commitment to UHC by 2030.
🔹 F. Exam Orientation
Prelims Pointers:
• NHA 2022–23: 10th edition; prepared by NHATS under MoHFW; using SHA 2011 framework
• OOPE: Out-of-Pocket Expenditure — fell from 64.2% (2013–14) to 43.4% (2022–23)
• Govt. health expenditure: 1.43% of GDP (2022–23); NHP 2017 target: 2.5% by 2025
• AB-PMJAY: Launched 2018; covers 55 crore beneficiaries; ₹5 lakh/family/year cover
• Ayushman Arogya Mandirs: 1.8 lakh operational; free services for 12 health conditions
• Jan Aushadhi Kendras: Affordable generic medicines — 10,000+ kendras across India
• WHO OOPE benchmark: Below 20% for UHC; India at 43.4% — still high
• NHA 2022–23: 10th edition; prepared by NHATS under MoHFW; using SHA 2011 framework
• OOPE: Out-of-Pocket Expenditure — fell from 64.2% (2013–14) to 43.4% (2022–23)
• Govt. health expenditure: 1.43% of GDP (2022–23); NHP 2017 target: 2.5% by 2025
• AB-PMJAY: Launched 2018; covers 55 crore beneficiaries; ₹5 lakh/family/year cover
• Ayushman Arogya Mandirs: 1.8 lakh operational; free services for 12 health conditions
• Jan Aushadhi Kendras: Affordable generic medicines — 10,000+ kendras across India
• WHO OOPE benchmark: Below 20% for UHC; India at 43.4% — still high
📝 Model Mains Question (10 Marks · GS II)
India’s National Health Accounts 2022–23 show a significant decline in out-of-pocket health expenditure from 64.2% to 43.4% over a decade. Critically evaluate the factors behind this improvement and the remaining challenges in achieving universal health coverage in India.
🎯 Probable UPSC Prelims MCQ
Q. With reference to India’s National Health Accounts (NHA) 2022–23, consider the following:
1. Out-of-Pocket Expenditure (OOPE) as a share of total health expenditure has declined to 43.4%.
2. Government health expenditure has reached 2.5% of GDP — the National Health Policy 2017 target.
3. The private health insurance share in total health expenditure has increased from 3.4% to 9.2% between 2013–14 and 2022–23.
Which of the above is/are correct?
1. Out-of-Pocket Expenditure (OOPE) as a share of total health expenditure has declined to 43.4%.
2. Government health expenditure has reached 2.5% of GDP — the National Health Policy 2017 target.
3. The private health insurance share in total health expenditure has increased from 3.4% to 9.2% between 2013–14 and 2022–23.
Which of the above is/are correct?
- 1 and 3 only
- 2 and 3 only
- 1, 2 and 3
- 1 only
✅ Answer: (A) 1 and 3 only
Explanation: OOPE fell to 43.4% — Statement 1 correct. Government health expenditure is only 1.43% of GDP (2022–23), far from the NHP 2017 target of 2.5% — Statement 2 is wrong. Private health insurance share rose from 3.4% to 9.2% — Statement 3 correct.
GS II – Governance | GS IV – Ethics | Essay
🤝 Global Crises & ‘Citizen Sacrifice’: The Social Contract — What Should Governments Do for Citizens?
🔹 A. Issue in Brief
- PM Modi issued seven behavioural appeals to citizens amid the West Asia crisis: buy local, conserve energy, avoid foreign travel, prioritise domestic tourism, support indigenous innovation, promote WFH — drawing mixed reactions.
- The editorial (by a cardiometabolic physician and UN health policy expert) argues that such appeals shift the burden of managing structural crises from the state to individuals — weakening the social contract without matching institutional reforms.
- The core argument: national resilience is built through capable institutions and sustained public investment — not merely through behavioural messaging and symbolic solidarity.
🔹 B. Static Background
- Social Contract Theory: Hobbes, Locke, Rousseau — individuals give up certain freedoms to government in exchange for protection, security, and public goods. In modern democracy: citizens pay taxes → government provides public goods, social protection, economic stability.
- Directive Principles of State Policy (Part IV): Article 38 — State to secure a social order for welfare; Article 39 — right to livelihood, equal pay; Article 41 — right to work, education, public assistance; Article 47 — raise nutrition levels, public health. These constitute India’s social contract obligations.
- PM’s 7 appeals: Buy local products, conserve energy, avoid unnecessary foreign travel, prioritise domestic tourism, support indigenous innovation, promote WFH, responsible energy consumption.
- Behavioural economics: Governments increasingly use “nudges” (Sunstein and Thaler) to change citizen behaviour — but nudges work best alongside structural changes, not as substitutes for them.
🔹 C. Key Dimensions
🧠 Mind Map: Reconstructing the Social Contract — What Governments Should Do During Crises
Social Protection
Strengthen primary healthcare, mental health, nutrition, emergency preparedness — not just private insuranceEconomic Inequality
Confront unemployment, informal labour, gig economy workers without social protection — not consumption patriotismR&D Investment
Build Indian universities and labs as global knowledge centres — not just Ivy League Indian campusesTransparency & Trust
Communicate honestly during crises; allow independent institutions, experts, media to function freelyClimate Resilience
Invest in urban infrastructure, public transport, green spaces — not just EV promotionDemocratic Dialogue
Protect criticism and intellectual diversity — not frame dissent as anti-national| PM’s Citizen Appeal | Corresponding Government Duty | Current Gap |
|---|---|---|
| Buy local products | Create quality domestic manufacturing ecosystem; protect consumer rights | PLI schemes exist but quality/price gap with imports persists |
| Conserve energy | Invest in public transport, efficient urban infrastructure, renewable grid | Smart Cities largely failed; public transport underfunded |
| Promote domestic tourism | Invest in heritage sites, infrastructure, safety for tourists | Many tourist sites infrastructure-poor; women’s safety gap |
| Support indigenous innovation | Fund public R&D; improve patent ecosystem; build world-class universities | India’s R&D spending: ~0.65% of GDP (target: 2%) |
| Avoid foreign travel | Provide economic security so citizens don’t need to seek opportunities abroad | Brain drain continues; insufficient high-quality jobs domestically |
🔹 D. Critical Analysis
- Asymmetry of obligation: Citizens are asked to sacrifice — conserve, buy local, reduce travel — but governments are not publicly committing to equivalent transparency, stability, investment, and accountability. This asymmetry is the editorial’s central ethical critique.
- Behavioural appeals can normalise institutional underperformance: When governments address structural problems through behavioural messaging, it gradually normalises the gap between what institutions should deliver and what they actually provide.
- Patriotism vs. policy: “Behavioural nationalism” — buying local, avoiding foreign travel — is emotionally resonant but cannot replace long-term economic planning, institutional competence, and policy coherence.
- GS IV connection — Ethics of Governance: A responsible government should demonstrate accountability, foresight, and policy seriousness — not deflect structural problems onto individuals. This is the Kantian “duty” dimension of governance.
- Balance view: Citizens do have civic responsibilities (responsible consumption, environmental awareness, social solidarity) — but these cannot substitute for governance itself.
🔹 E. Way Forward
- Governments must publicly commit to matching institutional reforms alongside behavioural appeals — transparency in public commitments and measurable accountability.
- Invest in social protection floor (UN concept) — minimum guaranteed healthcare, income support, food security for all citizens — structural resilience, not crisis messaging.
- Increase public R&D spending to 2% of GDP (India currently at ~0.65%) — genuine self-reliance requires knowledge infrastructure.
- Protect democratic dialogue — allow independent institutions, expert criticism, and media freedom to function during crises. Dissent is not anti-national; it is how democracies course-correct.
- Link to DPSP Articles 38, 39, 41, 47; India’s Viksit Bharat 2047 aspirations; SDG 16 (Accountable Institutions), SDG 10 (Reduced Inequalities).
🔹 F. Exam Orientation
Prelims Pointers:
• Social Contract: Hobbes, Locke, Rousseau — theoretical basis of government-citizen obligation
• DPSP Articles 38–47: State’s duty for social welfare, healthcare, nutrition, education, right to work
• India’s R&D spending: ~0.65% of GDP (among lowest for major economies; target: 2%)
• Nudge theory: Sunstein and Thaler — behavioral economics; choice architecture; limited as substitute for structural policy
• PM’s 7 appeals: Buy local, conserve energy, avoid unnecessary foreign travel, domestic tourism, indigenous innovation, WFH, responsible energy use
• Universal Health Coverage: SDG 3.8 — financial risk protection + access to quality essential health services
• Smart Cities Mission: Launched 2015; 100 cities selected; largely underperformed against aspirations
• Social Contract: Hobbes, Locke, Rousseau — theoretical basis of government-citizen obligation
• DPSP Articles 38–47: State’s duty for social welfare, healthcare, nutrition, education, right to work
• India’s R&D spending: ~0.65% of GDP (among lowest for major economies; target: 2%)
• Nudge theory: Sunstein and Thaler — behavioral economics; choice architecture; limited as substitute for structural policy
• PM’s 7 appeals: Buy local, conserve energy, avoid unnecessary foreign travel, domestic tourism, indigenous innovation, WFH, responsible energy use
• Universal Health Coverage: SDG 3.8 — financial risk protection + access to quality essential health services
• Smart Cities Mission: Launched 2015; 100 cities selected; largely underperformed against aspirations
📝 Model Mains Question (15 Marks · GS IV / Essay)
“When governments respond to structural economic or geopolitical shocks primarily through behavioural appeals to citizens — to sacrifice, consume responsibly, and adapt — without equivalent institutional reforms, the social contract begins to weaken.” Critically examine this statement in the context of India’s response to the 2026 West Asia energy crisis and suggest what a citizen-centric governance approach should look like during periods of global instability.
🎯 Probable UPSC Prelims MCQ
Q. Which of the following Directive Principles of State Policy (DPSP) is most directly related to the government’s obligation to provide right to work, education, and public assistance in certain cases?
- Article 38
- Article 39
- Article 41
- Article 44
✅ Answer: (C) Article 41
Explanation: Article 38 — secure a social order for welfare of the people. Article 39 — right to livelihood, equal pay for equal work. Article 41 — right to work, education, and public assistance in cases of unemployment, old age, sickness. Article 44 — Uniform Civil Code. The question specifically asks about work, education, and public assistance — that is Article 41.
❓ Frequently Asked Questions — UPSC SEO Optimised
The Supreme Court on May 28, 2026 upheld the constitutional validity of the Bihar SIR in a 124-page judgment authored by CJI Surya Kant. The key holdings were: (1) The Election Commission’s power under Article 324 is a “continuous wellspring” covering all aspects of the electoral machinery including roll preparation; (2) Citizenship verification for the limited purpose of inclusion/exclusion from electoral rolls is within EC’s authority; (3) Large-scale migration, non-reporting of deaths, and duplication were sufficient “common administrative experience” to justify SIR without specific empirical data. The court also directed EC to refer names of purged Bihar voters to the Centre for adjudication under the Citizenship Act within 4 weeks, and restore names to rolls if found to be citizens. The ruling is significant because it: validates the ongoing second phase of SIR in 12 more States; affirms EC’s broad powers under Article 324; but also creates a post-deletion remedy framework. Congress “respectfully disagreed” — noting that legal sanction cannot cure implementation malice. VVPAT time-stamping was also referred to EC as a potential transparency tool.
The EU’s Carbon Border Adjustment Mechanism (CBAM) entered its definitive phase on January 1, 2026. It works by imposing a carbon-linked charge on imports of carbon-intensive goods (steel, cement, aluminium, fertilizers, electricity, hydrogen) based on the embedded carbon emissions in their production. The charge effectively equalises the carbon cost between EU producers (who pay under the EU ETS) and foreign importers. India faces a dual impact: Direct — India’s steel and aluminium exports to the EU become costlier; Indian plants are coal-powered and carbon-intensive, making them more vulnerable than cleaner competitors. Carbon-intensive Indian exports may lose market share to countries with lower-carbon production (Japan, South Korea). Indirect — India’s key fertilizer suppliers (Russia, Egypt, Morocco, China) also export to the EU and face CBAM compliance costs; these may be passed on through higher global fertilizer prices, raising India’s import bill. India’s two-pronged response should be: domestic decarbonisation (green steel, renewable energy for aluminium, CCTS development) and international negotiation (WTO challenge, India-EU FTA with CBAM transition clauses, demand for technology transfer and differentiated treatment for developing countries under the principle of “common but differentiated responsibilities”).
Post-Quantum Cryptography (PQC) refers to a new generation of encryption algorithms designed to run on ordinary computers but engineered to withstand attacks from future quantum computers. Current encryption (RSA, ECC) is based on mathematical problems — like factoring large prime numbers — that are computationally hard for classical computers. However, Shor’s Algorithm (a quantum algorithm) can solve these problems exponentially faster, meaning a sufficiently large quantum computer could break all current public-key encryption. India’s DST task force identified the “harvest now, decrypt later” threat as particularly urgent — adversaries (including state actors) may already be storing India’s encrypted sensitive data today, planning to decrypt it once quantum computers mature. The task force recommended: Critical Information Infrastructure (CII) sectors to begin PQC migration by 2027, high-priority systems migrated by 2028, full adoption by 2029. The three NIST-standardised PQC algorithms (2024) — CRYSTALS-Kyber, CRYSTALS-Dilithium, FALCON — are the global standard. India’s National Quantum Mission (NQM, April 2023, ₹6,003 crore) covers quantum computing, communication, sensing, and materials through four thematic hubs at IISc and IITs. The key challenges are: legacy systems with long upgrade cycles, supply chain dependency on foreign hardware/software, and awareness gaps among banking and power sector operators.
The Advanced Medium Combat Aircraft (AMCA) is India’s indigenous fifth-generation stealth fighter being developed by the Aeronautical Development Agency (ADA) under the Ministry of Defence. Fifth-generation fighters are characterised by: all-aspect stealth (low radar cross-section), supercruise (supersonic flight without afterburner), AESA (Active Electronically Scanned Array) radar, advanced electronic warfare suites, and internal weapons bays. On May 28, 2026, the MoD issued the Request for Proposal (RFP) to three shortlisted private sector bidders: L&T-BEL combine, Tata Advanced Systems, and Bharat Forge-BEML consortium. Notably, HAL was excluded from this phase. The AMCA programme is strategically significant because: China’s J-20 fifth-generation fighter is already operational; Pakistan is acquiring China’s J-35; India faces a growing 5th-gen gap that the Rafale (4.5 gen) and Tejas (4th gen) cannot bridge long-term. Domestically, AMCA represents a genuine Make in India defence opportunity — private sector participation can build India’s defence industrial base and eventually enable defence exports (target: ₹50,000 crore by 2029). The key challenges are: engine dependency (Kaveri programme has faced decades of delays; prototypes may use imported GE-414), timeline slippage risks, and HAL’s institutional knowledge gap in the programme.
India’s NHA 2022–23 (10th edition) shows that Out-of-Pocket Expenditure (OOPE) as a share of total health expenditure has fallen significantly from 64.2% in 2013–14 to 43.4% in 2022–23 — a 21 percentage point improvement in a decade. This is credited to: operationalisation of 1.8 lakh Ayushman Arogya Mandirs providing free primary care; AB-PMJAY covering 55 crore beneficiaries with ₹5 lakh hospitalisation cover; and rising private health insurance (from 3.4% to 9.2% of total health expenditure). Government health expenditure also rose from 1.15% to 1.43% of GDP, with per capita government spending increasing 2.7 times (₹1,042 to ₹2,786). However, significant gaps remain: 43.4% OOPE is still very high by global standards (WHO benchmark for UHC is below 20%); the National Health Policy 2017 targeted 2.5% of GDP government health spending by 2025 — current level is less than 60% of that target; India spends far less than comparable economies (China: 5.4%, Brazil: 9.5% of GDP). The main remaining OOPE driver is pharmaceutical/supplement purchase at wellness centres. AB-PMJAY covers only hospitalisation, not outpatient care — which is the primary OOPE driver for most households. Private insurance growth is positive but skews toward urban, employed populations — not the most vulnerable.
The social contract is the foundational theory of modern democratic governance — citizens pay taxes, obey laws, and participate in democracy; in return, governments provide public goods (healthcare, education, infrastructure), social protection, economic stability, and strategic preparedness. The editorial argues that PM Modi’s seven behavioural appeals during the West Asia crisis — buy local, conserve energy, avoid foreign travel, prioritise domestic tourism, support indigenous innovation, promote WFH, responsible consumption — while individually reasonable, represent a pattern of “behavioural politics” that subtly shifts the burden of managing structural crises from the state to individuals. The key critique is asymmetry: citizens are repeatedly asked to sacrifice and adapt, but governments do not issue matching public commitments to: institutional transparency, regulatory stability, public investment in healthcare and R&D, reduction in inequality, or protection of democratic dialogue. The editorial’s “seven reconstructed appeals” for governments include: invest seriously in social protection systems; confront economic inequality; prioritise long-term education and R&D investment; strengthen transparency and trust; invest in climate resilience and sustainable urbanisation; reduce regulatory unpredictability; and protect democratic dialogue. The GS IV dimension is that responsible governance requires leaders to demonstrate accountability and foresight — not deflect structural problems onto individual behavioural choices. This is the ethical dimension of the governance-citizen relationship.
India’s recently amended Information Technology Rules, 2026 include specific provisions for AI-generated content: mandatory disclosure that content is AI-generated or AI-altered throughout the video/content; a 3-hour removal window for synthetically generated content upon receiving a court order or government notification; personal complaints by users must be resolved within 36 hours of filing. These are positive steps but face significant limitations: (1) 3-hour removal is impractical for viral AI content that can spread globally in minutes; (2) IT Rules 2026 are amendments to existing rules — not a comprehensive AI Governance Act; India lacks risk-based AI classification (like EU AI Act), mandatory AI impact assessments, or structured liability frameworks; (3) No specific personality rights legislation — celebrities must seek individual High Court remedies for AI misuse of likeness; (4) CERT-In (the cybersecurity agency) has demonstrated slow response to vulnerability disclosures — including the CBSE OSM portal case where a vulnerability was flagged in February and remained unaddressed until May; (5) No watermarking/provenance requirement — unlike China’s Generative AI Rules (2023) which mandates watermarking of AI content. India needs a comprehensive AI Governance Act with risk-based classification, personality rights legislation, mandatory AI watermarking, and a strengthened CERT-In with dedicated AI security capacity. Digital and AI literacy programmes must also be urgently scaled up as the most effective long-term defence against AI misinformation.
