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  • AI and cyber, the double helix of today’s security threats

    Why in the News?

    Artificial Intelligence (AI) and cyber threats have merged into a single, compounding security risk that traditional defences cannot contain. AI-powered malware now adapts on its own, autonomous agents undermine established protocols, and the newest models can find and exploit vulnerabilities faster than humans. The deeper conflict is that the technology capable of defending systems is the same technology enabling attacks, while the rules to govern it remain undeveloped.

    What is Agentic AI?

    1. Definition: Agentic AI refers to systems that act autonomously to pursue goals, taking sequential actions with minimal human prompting. It differs from Generative AI, which produces content in response to a user request.
    2. Significance: Autonomous agents can perform complex tasks once reserved for people. As agentic operations grow more sophisticated, threat levels rise further.

    Working

    1. Perception: Gathers real-time data from tools, screens, or sensors.
    2. Reasoning: Uses large models to break a big goal into small steps.
    3. Action: Uses external software or APIs to complete the work.
    4. Learning: Adapts its future choices based on past results

    What is Zero Trust?

    1. Definition: Zero Trust is a security model that assumes no user or device is trustworthy by default, verifying every access request continuously. It replaces the older assumption that anything inside a network is safe.
    2. Erosion: Malicious autonomous agents are positioned to undermine Zero Trust protocols. This aggravates insider threat vectors within organisations.

    How is AI transforming cyber threats?

    1. Adaptive malware: AI-powered malware can adapt and evolve in response to its environment. This makes it harder for traditional anti-virus software to detect. Example: Self-Modifying Code: Rewrites internal structures or instructions continuously to change file fingerprints
    2. Vulnerability discovery: The latest AI systems can detect zero-day vulnerabilities across major operating systems. A zero-day is a software flaw unknown to the vendor and unpatched at the time of attack.
    3. Capability transfer: Newer AI machines let rogue groups demonstrate capabilities once limited to nation states. This lowers the barrier to sophisticated attacks.
    4. Dual-use warning: The World Economic Forum warns AI will strengthen cyber defences while also enabling more sophisticated automated attacks. The same model can render current Zero Trust protocols ineffective.

    How is AI reshaping warfare?

    1. Precision targeting: AI-powered smart systems detect, track and predict missile trajectories with high accuracy. This was demonstrated in recent conflicts.
    2. Autonomous munitions: Systems can independently identify and strike targets. This shifts elements of the kill decision away from human operators.
    3. Multi-source intelligence: AI can fuse intelligence from photos, text, radio and electromagnetic signals. This denies adversaries a tactical advantage.
    4. Cognitive core: Automated analytics platforms (such as Palantir Technologies or military software like Ukraine’s Delta) manage vast data inputs to recommend strikes and run logistics.
    5. Drone accuracy: Software upgrades have pushed first-person view drone hit rates from roughly 30–50% up to 80%.

    Where does the deeper tension lie?

    1. Concentrated power: A handful of Western firms hold the most advanced models and behave as owners of future technology. Control over the mightiest technology is concentrating in a few private hands.
    2. Governance vacuum: AI has the potential to become the dominant source of military and economic power. The rules to govern it remain in a fledgling state.
    3. Escalating rivalry: The United States has accused China of stealing from its most advanced language model to build a rival. This reflects the intensity of the US-China technology competition.

    What are the challenges to safe AI and cyber governance?

    1. Hallucinations: Advanced models produce distortions and misleading outputs. Judgments built on them become unreliable and subjective.
    2. Algorithmic bias: Biases creep into AI-driven decisions, including a bias towards national security framing. Unrestricted reliance on such outputs magnifies risk.
    3. Algorithmic radicalisation: AI platforms can push opinion makers towards extreme views. Guarding against this requires active oversight.
    4. Warning-understanding gap: In defence sensing, AI-dictated warnings can outrun proper understanding of reality. Acting on premature warnings carries strategic danger.
    5. Loss of human control: Increasingly capable models and robots are replacing human roles in critical decisions. Keeping machines under human oversight is becoming harder.

    Conclusion

    The convergence of AI and cyber capability creates a civilisation-scale threat because the technology that defends systems is the same one that attacks them, and no adequate governance exists. The single most important precondition, human oversight backed by enforceable rules, is missing, and altruism from AI firms is not a substitute for it.

    Back2Basics

    CERT-In:

    1. Indian Computer Emergency Response Team is the national nodal agency for cyber security incidents under the Ministry of Electronics and Information Technology.
    2. Statutory basis: Operates under the Information Technology Act, 2000.

    Generative vs Agentic AI

    Generative AIAgentic AI
    Creates content (text, images, code, audio) from user prompts.Performs tasks autonomously to achieve a goal.
    Responds to instructions but does not independently plan actions.Plans, reasons, makes decisions, and executes multi-step workflows.
    Output-focused.Outcome-focused.
    Requires frequent human prompts for each step.Needs minimal human intervention after receiving the objective.
    Limited memory and action capability.Can use memory, APIs, tools, and feedback to adapt actions.
    Example: ChatGPT writing an essay or generating code.Example: An AI assistant that books travel, compares prices, sends emails, and updates the calendar automatically.

    PYQ Relevance

    [UPSC 2022] What are the different elements of cyber security? Keeping in view the challenges in cyber security, examine the extent to which India has successfully developed a comprehensive National Cyber Security Strategy.

    Linkage: UPSC has examined India’s cyber security architecture and the challenges in developing a comprehensive cyber security strategy. The article shows how AI-powered cyber threats and autonomous agents demand an AI-enabled, adaptive cyber security framework beyond traditional defences.

  • The dilemma over PM SHRI in Kerala

    Why in the News?

    Kerala’s Congress-led United Democratic Front (UDF) government is caught between the need for withheld central education funds and its declared opposition to the National Education Policy, 2020 (NEP 2020). The funds are tied to the PM SHRI scheme, whose memorandum of understanding the earlier Left government had signed. The bind exposes the conflict between fiscal dependence and ideological consistency in India’s education federalism.

    What is the PM SHRI scheme?

    1. Core design: PM SHRI (Pradhan Mantri Schools for Rising India) upgrades selected government schools into model schools that showcase the NEP 2020. It is a centrally sponsored scheme of the Ministry of Education.
    2. Access condition: A State must sign a memorandum of understanding to receive funds. The framework requires the school curriculum to follow the National Curriculum Framework aligned with the NEP.
    3. Funding link: Kerala has around Rs 1,158.13 crore in education funds held up by the Centre. Access depends on continuing with the PM SHRI commitment.

    What is the National Education Policy, 2020?

    1. Definition: The NEP 2020 is the Union government’s framework for restructuring school and higher education, replacing the 1986 policy. It covers curriculum, pedagogy, and school structure.
    2. Curriculum clause: The NEP allows States to prepare their own curricula and textbooks. It also states that the NCERT curriculum is to be treated as the nationally acceptable criterion.

    Why is the UDF government in a bind?

    1. Reversed roles: The UDF had attacked the previous Left Democratic Front (LDF) government for signing the PM SHRI memorandum. The current government now argues it is bound because Kerala became a party once the deal was signed.
    2. Coalition fault lines: The Indian Union Muslim League and other allied organisations oppose implementation and want the Cabinet sub-committee’s report first. The internal split has produced repeated flip-flops on the government’s stance.
    3. Fiscal pressure: The Union Minister of State for Education said in the Rajya Sabha that States that do not sign or withdraw miss out on PM SHRI benefits. Punjab opted out in 2023 and reversed course after the Centre froze its funds.

    What is the deeper federalism concern?

    1. Curriculum autonomy: The memorandum asks States to implement all NEP provisions in their entirety. Kerala fears this narrows its freedom to design its own curriculum.
    2. Funding leverage: The Union government declared in 2022 that the Samagra Shiksha scheme’s objective was to help implement the NEP. Regular school funding is thereby tied to policy acceptance.
    3. Creeping intervention: Even without direct curriculum control now, the State fears future prescription of teaching materials and assessment patterns. Curriculum-based programme implementation could later be imposed.

    What are the challenges before the UDF government?

    1. Legal route risk: Following Tamil Nadu’s litigation path is available but slow. It offers no guarantee of releasing the frozen funds in time.
    2. Reputational cost: Writing to the Centre to demand curricular freedom exposes the government to the charge of letting the NEP enter Kerala by the back door. Its earlier opposition sharpens this criticism.
    3. Loss of funds: Refusing PM SHRI forfeits crucial federal education funding. A cash-strained State cannot easily absorb the shortfall.
    4. Precedent of coercion: The Punjab episode shows the Centre freezes funds to force compliance. The leverage limits how far any State can resist.

    Conclusion

    The dispute reflects how conditional central funding narrows a State’s room to hold an independent education stance. The UDF loses either way: implementing PM SHRI concedes its NEP opposition, while refusing forfeits over Rs 1,158 crore. The resolution rests on whether cooperative federalism can separate routine school funding from acceptance of a contested national policy.

    Back2Basics

    PM Shri

    1. Full form: Pradhan Mantri Schools for Rising India, a centrally sponsored scheme to develop model schools aligned with the NEP 2020.
    2. Ministry: Ministry of Education, launched in 2022.
    3. Objective: Upgrade and strengthen selected existing schools run by Central, State, and local bodies into exemplar schools.
    4. Funding pattern: Shared between the Centre and States, contingent on a signed memorandum of understanding.
    5. Linked scheme: Samagra Shiksha is the umbrella school-education programme through which much of this funding is routed.

    The National Education Policy (NEP) 2020:

    It replaces the 34-year-old 1986 policy with a focus on a 5+3+3+4 school structure, mother tongue instruction, and flexible higher education. You can read the official document on the Ministry of Education portal.

    School Education Changes

    1. 5+3+3+4 Design: Covers ages 3 to 18, broken into foundational (5 years), preparatory (3 years), middle (3 years), and secondary (4 years) stages.
    2. Language: Mother tongue or local language used as the medium of instruction until at least Grade 5, and ideally Grade 8.
    3. No Hard Separations: Mixing of science, arts, vocational crafts, and sports streams.
    4. Assessments: Focus on regular, competency-based testing instead of rote memory, with school exams in grades 3, 5, and 8.

    PYQ Relevance

    [UPSC 2020] ‘Education is not an injunction, it is an effective and pervasive tool for all-round development of an individual and social transformation’. Examine the New Education Policy, 2020 (NEP, 2020) in light of the above statement.

    Linkage: UPSC has examined NEP 2020 as a tool for educational and social transformation. The article highlights the federal and implementation challenges of NEP 2020, especially when central funding is linked to policy adoption.

  • The problem with India’s free trade agreement strategy

    India has embraced trade diplomacy, signing Free Trade Agreements with the UAE, Australia, Oman, the United Kingdom, the European Union and New Zealand, with more under negotiation. The record with Asian partners undercuts the assumption that these agreements automatically boost exports and integrate India into regional production networks. Trade with partners such as ASEAN has become import-driven, with deficits widening even as export shares erode.

    What is a Free Trade Agreement and Global Value Chain integration?

    1. Free Trade Agreement (FTA): An FTA is a pact between two or more countries that reduces or removes tariffs and other barriers on goods and services traded between them. It is meant to expand market access on both sides.
    2. Global Value Chain (GVC) integration: A Global Value Chain is a production network where different stages of making a product occur in different countries. Integration means a country supplies or assembles components within these cross-border networks rather than trading only finished goods.

    How has India’s trade balance shifted under Asian FTAs?

    1. Widening deficit with ASEAN: India’s trade deficit with the Association of Southeast Asian Nations (ASEAN) rose sharply from USD 10.4 billion in 2012 to USD 51.2 billion in 2025, driven by rapidly rising imports.
    2. Faster imports with Japan and South Korea: Imports grew much faster than exports with Japan and South Korea over the same period, deepening the imbalance.
    3. Surplus turned to deficit with Singapore: India’s trade surplus with Singapore turned into a deficit after the trade agreement, signalling weakening export competitiveness.
    4. Import-driven pattern: Trade with key FTA partners has become increasingly import-driven rather than export-led.

    Why have export shares eroded despite tariff preferences?

    1. Declining share in partners’ import baskets: India’s share of ASEAN’s import basket dropped from 3.42% to 1.71% between 2012 and 2025, and its share of Singapore’s imports fell from 2.27% to 1.71%.
    2. Losses in Korea and mixed Japan trend: India’s share in South Korea’s import basket declined from 1.33% to 1.02%, while its share in Japan’s imports showed mixed trends.
    3. Tariff cuts cannot offset weak capability: The inability to use tariff preferences shows that market access based on tariff elimination alone cannot compensate for weak domestic industrial capabilities, logistical inefficiencies and infrastructure constraints.

    Why does the case that FTAs drive GVC integration break down?

    1. GVC trade share has fallen: India’s GVC-related trade as a share of gross trade declined from 37.13% to 34.38%, showing weakening integration rather than deepening.
    2. Decline across most partners: GVC trade as a share of gross trade fell with South Korea, Japan, Indonesia, Thailand, Vietnam and Cambodia, rising only with Malaysia, Singapore and the Philippines.
    3. Access is not participation: FTAs may raise market access in some product categories, but their ability to build productive capabilities remains contested.

    What must change beyond signing more FTAs?

    1. Fix domestic capacity first: India’s trade challenge is not negotiating more FTAs but strengthening domestic productive capabilities and removing associated impediments.
    2. Link trade to industrial policy: FTA strategy should connect to an industrial-policy framework emphasising technological upgrading, strategic investment, supply-chain realignment and domestic value addition.
    3. Avoid asymmetric outcomes: Without industrial transformation, FTAs increase import penetration faster than export competitiveness, widening asymmetrical trade outcomes and structural vulnerabilities.

    Conclusion

    The core problem is that India’s FTAs have become instruments of import penetration rather than drivers of export growth or GVC integration, because tariff access cannot substitute for weak industrial capacity. The strategy must move beyond market access toward domestic industrial transformation, technological upgrading and value addition. Until domestic productive capabilities strengthen, additional agreements will deepen deficits rather than reverse them.

    Back2Basics

    1. Free Trade Agreement: A treaty that reduces or eliminates tariffs and trade barriers between member countries.
    2. ASEAN: Association of Southeast Asian Nations, a regional grouping of ten Southeast Asian countries; India signed an FTA in goods with ASEAN in 2009.
    3. Global Value Chain: A cross-border network in which successive stages of production are spread across multiple countries.
    4. Types of trade pacts: Preferential Trade Agreement, Free Trade Agreement, Comprehensive Economic Partnership Agreement and Comprehensive Economic Cooperation Agreement, differing by depth of liberalisation.
    5. Trade deficit: The amount by which a country’s imports exceed its exports.

    PYQ Relevance

    [UPSC 2018] Consider the following countries: 1. Australia 2. Canada 3. China 4. India 5. Japan 6. USA

    Which of the above are among the ‘free-trade partners’ of ASEAN?

    (a) 1, 2, 4 and 5 (b) 3, 4, 5 and 6 (c) 1, 3, 4 and 5 (d) 2, 3, 4 and 6

    Answer: (c)

  • [4th August 2026] The Hindu OpED: Critical minerals, the foundation of strategic power

    Mentor’s Comment

    Critical minerals have moved from the margins of resource policy to the centre of industrial strategy and national security. China’s dominance in refining, sharpened by rare-earth export controls announced in 2025, has exposed how concentrated the global supply chain is and how vulnerable importing economies remain. India holds domestic reserves but lacks the processing and refining capacity that decides who actually controls supply.

    What are critical minerals?

    1. Definition: Critical minerals are metals and elements that are essential to modern technology and defence but face a high risk of supply disruption due to concentrated production. Lithium, cobalt, nickel, graphite, copper and rare earth elements are the core group.
    2. Why they matter now: They are foundational to electric vehicles, battery storage, renewable power, semiconductors, defence systems and advanced manufacturing. As decarbonisation and digitalisation accelerate, mineral security is becoming as strategically important as oil once was.

    Why is the global supply picture a strategic risk, not a commercial one?

    1. Refining is concentrated in a few countries: For copper, lithium, nickel, cobalt, graphite and rare earths, the average market share of the top three refining countries rose to 86% in 2024 from around 82% in 2020. Supply now depends on a handful of nodes.
    2. China leads across nearly all strategic minerals: China is the leading refiner in 19 of 20 strategic minerals, with an average market share of about 70%. This concentration turns minerals into geopolitical leverage rather than ordinary traded commodities.
    3. Processing is the true chokepoint: In 2024, China accounted for over 90% of rare earths and graphite processing, nearly 75% of cobalt and 70% of lithium chemicals. Control of the midstream, not the mine, confers power.
    4. Export controls have weaponised supply: China’s rare-earth export controls announced in 2025 raised alarm across energy, automotive, defence, aerospace, Artificial Intelligence and semiconductor sectors. A single supplier’s policy decision can now disrupt entire industries.

    What do foreign responses show about the value of processing capacity?

    1. European Union, mandated benchmarks: The Critical Raw Materials Act sets 2030 targets of 10% domestic extraction, 40% processing and 25% recycling, with no more than 65% of any strategic mineral sourced from a single country. It builds integrated supply chains through binding mandates.
    2. United States, mine-waste refining and defence dependence: Firms such as Phoenix Tailings use electrolysis to extract rare earths from mine tailings, backed by a USD 500 million Pentagon loan to expand separation and metallization, the weakest stage of the mines-to-magnets chain. Weapons such as Tomahawk cruise missiles, THAAD interceptors and F-35 jets fail without these inputs.
    3. United States, samarium bottleneck: The defence sector needs 50 to 100 tonnes of samarium each year, yet domestic capacity is tiny, forcing reliance on revived European sites. Solvay restarted separating rare earths at La Rochelle in France after China choked processed-material outflows in April 2025.
    4. United States, tungsten deadline: The Pentagon has set a January 2027 cut-off for China-sourced tungsten, but China controls roughly 80% of global mine supply and a larger share of downstream processing. Building domestic capacity will take years, forcing reliance on existing inventories.

    How is India positioned, and where is the gap?

    1. Reserves exist but supply security does not: India holds reserves of cobalt, copper, graphite and nickel, plus monazite deposits containing rare-earth oxides. It still imports lithium, cobalt and nickel.
    2. The critical gap is processing and refining: India has bulk-mineral experience but relies on imports for high-purity critical mineral products. Capacity and high-purity production remain constrained.
    3. Structural constraints slow progress: Exploration is shallow, regulatory clearances are time-consuming, private participation is limited and remote-region project economics are weak. Recycling cannot substitute for primary supply in the near term.
    4. Rising demand widens the exposure: Under a net-zero scenario, cumulative demand for critical energy-transition minerals could reach roughly 169 million tonnes by 2070, well above a current-policy pathway.

    What is India’s policy response since 2023?

    1. National Critical Mineral Mission: The government has identified 30 critical minerals and launched the Mission to support the value chain, targeting 1,200 domestic exploration projects by 2030-31, production of at least 15 critical minerals, and acquisition of 50 overseas mining assets.
    2. MMDR Act Amendment (2023): Amended the Mines and Minerals (Development and Regulation) Act to empower the central government to auction mining leases and composite licenses for 24 critical and strategic minerals (like lithium and cobalt).
    3. Overseas acquisition through KABIL: Khanij Bidesh India Limited (KABIL), a joint venture of state-owned firms for overseas mineral assets, has secured acreage in Argentina’s Catamarca province for lithium exploration.
    4. Domestic rare-earth corridors: The 2026-27 Budget proposed rare-earth corridors in Odisha, Kerala, Andhra Pradesh and Tamil Nadu.
    5. Diplomatic diversification: The India-United States critical minerals and rare earths framework signed in May 2026 provides an additional lever to diversify supply away from a single source.

    What are the challenges to India’s critical mineral security?

    1. Midstream absence: Without high-purity refining, India cannot participate meaningfully in supply-chain realignment even where it mines the raw ore.
    2. Import dependence for battery metals: Continued reliance on imported lithium, cobalt and nickel leaves electric-vehicle and storage ambitions exposed to external disruption. India imports more than 70% of its lithium-ion battery requirements from China and Hong Kong.
    3. Long lead times: Exploration, clearances and processing plants take years, so near-term vulnerability persists regardless of policy intent.
    4. Recycling feedstock is thin: Collection systems, feedstock volumes and technology remain limited, so recycling cannot yet offset primary shortfalls. Only 5% to 10% of digital waste in India is being systematically recycled, the rest is being wasted.
    5. No strategic stockpile in place: India has not yet operationalised buffer stocks for critical minerals, leaving it without a cushion against sudden export controls abroad.

    Conclusion

    Mineral security now defines India’s industrial and strategic trajectory, and the decisive gap is not reserves but processing and refining capacity. Individual measures are necessary but insufficient without a comprehensive strategy that sets mineral-specific risk thresholds, integrates recycling, builds strategic stockpiles and creates a coordinated institutional framework. The priority is to convert domestic potential into refining capability and reduce strategic vulnerability through sustained execution.

    Back2Basics

    National Critical Mineral Mission:

    1. Launched by the Union government to secure the critical mineral value chain, from exploration to recycling.
    2. Nodal ministry: Ministry of Mines.
    3. Minerals identified: 30 critical minerals notified for India.
    4. Key targets: 1,200 domestic exploration projects by 2030-31, production of at least 15 critical minerals, and acquisition of 50 overseas mining assets.
    5. KABIL: Khanij Bidesh India Limited, a joint venture of NALCO, Hindustan Copper and Mineral Exploration Corporation, tasked with acquiring strategic mineral assets abroad.
    6. Legal backing: The Mines and Minerals (Development and Regulation) Act, 1957 was amended in 2023 to empower the Central Government to auction leases for specified critical minerals.

    Strategic Critical Minerals Cooperation Framework (India and USA)

    1. India and the United States signed the Strategic Critical Minerals Cooperation Framework on May 26, 2026, in New Delhi.
    2. The agreement was finalized to secure supply chains, boost clean energy manufacturing, and reduce reliance on single-source monopolies like China.

    Key Goals of the Partnership

    1. Supply Chain Security: Protects sensitive mineral and rare earth networks from coercive market practices.
    2. Collaboration Areas: Focuses heavily on joint mining, advanced processing, recycling, and scrap management.
    3. Broader Alignment: Coordinates with plurilateral efforts like the Quad Critical Minerals Initiative and the Forum on Resource Geostrategic Engagement (FORGE).

    PYQ Relevance

    [UPSC 2025] Consider the following statements:

    I. India has joined the Minerals Security Partnership as a member. II. India is a resource-rich country in all the 30 critical minerals that it has identified. III. The Parliament in 2023 has amended the Mines and Minerals (Development and Regulation) Act, 1957 empowering the Central Government to exclusively auction mining lease and composite license for certain critical minerals.

    Which of the statements given above are correct? (a) I and II only (b) II and III only (c) I and III only (d) I, II and III

    Answer: (c)

  • An AI and agriculture compact for Andhra Pradesh

    Why in the News

    A proposal ties a planned large data centre in Andhra Pradesh to a new compact between artificial intelligence and agriculture. The idea is to use farmer-owned solar generation and agrivoltaics to power data infrastructure while raising farm incomes, linking a technology investment to rural livelihoods.

    What is agrivoltaics?

    1. Meaning: Agrivoltaics is the practice of using the same land for both solar power generation and crop cultivation.
    2. Dual output: Panels are raised or spaced so crops grow beneath them, producing electricity and food from one plot.
    3. Income effect: Farmers earn from power sales alongside crop income, diversifying their earnings.

    What is the Deemed Distribution Licence (DDL) idea?

    1. Meaning: A Deemed Distribution Licence (DDL) would let farmer solar cooperatives supply power directly to large consumers such as a data centre.
    2. Purpose: It creates a guaranteed buyer for farmer-generated solar power, making the investment viable.

    How would the compact work?

    1. Data centre demand: A proposed data centre provides a large, steady electricity buyer located near farms.
    2. Farmer solar cooperatives: Farmers pool land for solar and agrivoltaics, selling power to that demand.
    3. PM-KUSUM base: The model builds on the PM-KUSUM scheme, which already supports farm-based solar generation.

    What are the challenges to the AI-agriculture compact

    1. Grid and pricing rules: Direct farmer-to-consumer supply needs regulatory clearance that does not yet exist at scale.
    2. Upfront capital: Solar and agrivoltaic installations require finance that smallholders often cannot raise alone.
    3. Crop suitability: Not all crops grow well under panels, limiting where agrivoltaics works.
    4. Water and land tension: Land pooling and water use must not displace food production or small tenants.
    5. Demand certainty: Farmer incomes depend on the data centre actually materialising and buying the power.

    Conclusion

    The compact links a technology investment to rural incomes by making farmers power suppliers to a data centre. Agrivoltaics and a DDL model, built on PM-KUSUM, are the enabling tools. Its viability depends on regulatory clearance, upfront finance and a certain power buyer.

  • Reviving the privatisation question for ONGC and Oil India

    Why in the News

    Shifts in global oil markets have reopened the question of whether the government should privatise its upstream oil producers, ONGC and Oil India Limited. The tension is between raising efficiency and revenue through disinvestment and retaining state control over a strategically sensitive energy sector.

    What is the disinvestment question here?

    1. The proposal: The government should reduce or exit its ownership in Oil and Natural Gas Corporation (ONGC) and Oil India Limited (OIL), the two major state-owned upstream oil producers.
    2. Efficiency case: Private ownership is argued to improve operational efficiency, capital discipline and exploration performance.
    3. Fiscal case: Sale proceeds would count as capital receipts and support the government’s fiscal position.

    Why is the timing being debated?

    1. Changing oil markets: Global demand patterns and the energy transition are altering the long-term value of oil assets, affecting when a sale makes sense.
    2. Price volatility: OPEC production decisions and the West Asia risk premium make oil revenues and asset valuations unstable.
    3. Energy security tension: Upstream producers underpin domestic supply and Strategic Petroleum Reserves, so full privatisation raises supply-security concerns.

    What must hold for privatisation to deliver?

    1. Genuine competition: Efficiency gains require a competitive market, not the transfer of a public monopoly to a private one.
    2. Regulatory strength: Independent regulation is needed to protect consumers and ensure fair pricing after a sale.
    3. Strategic safeguards: The state must retain mechanisms to secure supply during global disruptions even after reducing ownership.

    Conclusion

    The privatisation of ONGC and OIL turns on whether efficiency and revenue gains outweigh the loss of state control over a strategic sector. Volatile oil markets and energy-security needs complicate the timing. The decision depends on building genuine competition and strong safeguards before, not after, any sale.

    Back2Basics

    Oil and Natural Gas Corporation (ONGC)

    1. Founded: August 14, 1956
    2. Headquarters: New Delhi
    3. Status: Maharatna PSU
    4. Role: India’s largest crude oil and natural gas producer, contributing roughly 70% of domestic crude production and 84% of natural gas.
    5. Operations: Extensive onshore and offshore infrastructure across India, alongside global overseas ventures via ONGC Videsh.

    Oil India Limited (OIL)

    1. Founded: February 18, 1959 (with roots tracing back to the 1889 Digboi oil discovery)
    2. Headquarters: Duliajan, Assam
    3. Status: Maharatna PSU
    4. Role: India’s second-largest national upstream oil and gas company, heavily focused on the Northeast region of India as well as pan-India and international blocks.
    5. Operations: Fully integrated exploration, production, and crude oil transportation, plus a majority stake in Numaligarh Refinery Limited (NRL)

    PYQ Relevance

    [UPSC 2025] Consider the following statements: I. Capital receipts create a liability or cause a reduction in the assets of the Government. II. Borrowings and disinvestment are capital receipts. III. Interest received on loans creates a liability of the Government.

    Which of the statements given above are correct? (a) I and II only (b) II and III only (c) I and III only (d) I, II and III

    Answer: (a)

  • Growth’s uneven spread: the widening gap between the ultra-rich and stagnant wages

    Why in the News?

    The UBS Global Wealth Report 2026 and recent labour metrics confirm a sharp divergence: global wealth surged by 10.8% in 2025, yet median wealth and general wages stagnated or declined for the broader workforce. In India, this concentration leaves the top 1% holding roughly 40% of total wealth, threatening to squander the country’s limited demographic dividend.

    What does the wealth and wage data show?

    1. Wealth concentration: The UBS Global Wealth Report 2026 records a rising number of ultra-wealthy individuals in India, indicating gains concentrated at the top.
    2. Wage stagnation: The Periodic Labour Force Survey (PLFS) shows real wages for most workers remaining broadly flat, so the median worker’s income is not keeping pace.
    3. Consumption skew: Demand is being led by premium goods and services bought by higher income groups, while mass consumption stays weak.
    4. Indian Disparity: Corporate profits and billionaire wealth scaled historic highs, while ordinary wages and employment growth lagged behind. Data from the World Inequality Report highlights that India’s top 10% capture 58% of national income, while the bottom 50% receive only 15%.

    Why is the divergence a structural concern?

    1. Jobless quality of growth: Output growth is not translating into enough well-paying formal jobs, so income gains bypass most workers.
    2. Technology displacement: Automation and artificial intelligence threaten routine information technology and services roles that earlier absorbed educated workers.
    3. Weak gig protections: Platform and gig work has expanded without stable incomes or social security, leaving new jobs precarious.

    Why does the demographic window make this urgent?

    1. Closing window: India’s working-age population share will peak within a limited period, after which the dependency burden rises.
    2. Wasted dividend: If the workforce is not absorbed into productive, rising-wage jobs during this window, the demographic dividend is lost.
    3. Demand drag: Stagnant mass incomes weaken domestic consumption, which slows the very growth needed to create jobs.

    Conclusion

    The core problem is not the pace of growth but its distribution. Wealth is concentrating at the top while wages for the majority stagnate, and automation and weak gig protections deepen the divide. Converting growth into broad-based, rising-wage employment during the demographic window is the central challenge.

    PYQ Relevance

    [UPSC 2025] Inequality in the ownership pattern of resources is one of the major causes of poverty. Discuss in the context of ‘paradox of poverty’.

    Linkage: It examines how unequal ownership of resources drives poverty and inequality. The article shows that rising wealth concentration alongside stagnant wages widens inequality, limiting inclusive growth and deepening the paradox of poverty.

  • India’s next conservation challenge lies beyond protected areas

    Why in the News

    An argument is being made that India’s conservation model, centered on isolated protected areas, is no longer sufficient. As development corridors fragment habitats, the next challenge is protecting connectivity through ecological corridors and area-based measures outside formal parks, in line with global biodiversity commitments.

    What is Protected-Area-Only Conservation Model?

    1. The Protected-Area-Only (PA-only) model is a traditional conservation strategy focused on creating and managing geographically defined zones such as national parks and nature reserves where human activity is strictly limited or prohibited to preserve biodiversity.
    2. Key elements include strict legal boundaries, top-down enforcement, and the exclusion of everyday resource extraction.

    Core Characteristics

    1. Spatial segregation: Separates nature preservation zones from human-dominated landscapes like farms or cities.
    2. Strict regulation: Limits or bans resource use, hunting, grazing, and permanent human settlement inside borders.
    3. Top-down control: Relies heavily on government oversight, rangers, and legal penalties to prevent habitat damage

    What are Other Effective Area-based Conservation Measures (OECMs)?

    1. Meaning: Other Effective Area-based Conservation Measures (OECMs) are areas outside formal protected areas that still deliver long-term biodiversity conservation.
    2. Difference from protected areas: They are not designated national parks or sanctuaries, but community lands, corridors or managed areas that sustain species.
    3. Global basis: OECMs are recognised under the Convention on Biological Diversity (CBD) as a route to expand effective conservation area.

    Why is the protected-area-only model insufficient?

    1. Habitat fragmentation: Infrastructure such as the Delhi-Dehradun Economic Corridor cuts through and isolates wildlife habitats.
    2. Island effect: Isolated parks trap populations, reducing genetic exchange and long-term viability.
    3. Corridor need: Landscapes such as Pench-Seoni show that connectivity between reserves is as vital as the reserves themselves.

    What must the new approach include?

    1. Ecological corridors: Legally recognised corridors linking protected areas would let species move and populations mix.
    2. National Conservation Estate: A wider conservation estate would bring corridors and OECMs into a coherent framework.
    3. CBD alignment: Meeting India’s biodiversity-area commitments under the CBD requires counting effective conservation beyond parks.

    Conclusion

    Conservation confined to isolated protected areas cannot survive large-scale habitat fragmentation. The central need is connectivity, through ecological corridors, OECMs and a National Conservation Estate. Aligning this with CBD commitments is how India can protect biodiversity beyond park boundaries.

    Back2Basics

    Landscape-Based Conservation

    Definition:
    Landscape-based conservation is an integrated approach that conserves biodiversity, ecosystems, and ecological connectivity across entire landscapes, including Protected Areas, forests, farmlands, rivers, wildlife corridors, and human settlements, while balancing conservation with sustainable livelihoods.

    Key Features

    1. Conserves entire ecosystems, not just isolated Protected Areas.
    2. Maintains ecological connectivity through wildlife corridors.
    3. Integrates local communities into conservation.
    4. Promotes sustainable land-use in agriculture, forestry, and infrastructure.
    5. Improves climate resilience by enabling species movement and adaptation.

    Why is it needed?

    1. Wildlife frequently moves outside Protected Areas.
    2. Prevents habitat fragmentation.
    3. Addresses climate change by allowing range shifts.
    4. Balances conservation with development and livelihoods.

    Examples

    1. Western Ghats Landscape: Eco-Sensitive Areas and corridor-based conservation.
    2. Nilgiri Biosphere Reserve: Connects Mudumalai, Bandipur, Nagarhole, Wayanad, and Sathyamangalam.
    3. Kaziranga-Karbi Anglong Landscape: Critical elephant and rhino corridor.
    4. Terai Arc Landscape (India-Nepal): Cross-border conservation for tigers, elephants, and rhinos.

    Global Recognition

    1. Kunming-Montreal Global Biodiversity Framework (2022): Encourages conservation through Protected Areas + Other Effective Area-Based Conservation Measures (OECMs).
    2. IUCN: Promotes connectivity conservation and integrated landscape management.

    PYQ Relevance

    [UPSC 2014] With reference to ‘Global Environment Facility’, which of the following statements is/are correct?

    (a) It serves as financial mechanism for ‘Convention on Biological Diversity’ and ‘United Nations Framework Convention on Climate Change’. (b) It undertakes scientific research on environmental issues at global level. (c) It is an agency under OECD to facilitate the transfer of technology and funds to underdeveloped countries with specific aim to protect their environment. (d) Both (a) and (b).

    Answer: (a)”

  • Why India struggles to retain its scientists

    Why in the News

    A wave of resignations, including about 120 from the Indian Space Research Organisation, has reopened the question of why India produces skilled scientists but fails to keep them. The argument locates the problem not in talent or pay alone, but in the bureaucratic culture of research institutions that erodes professional autonomy.

    What is the retention problem?

    1. Scale of exits: About 120 scientists resigned from the Indian Space Research Organisation (ISRO), signalling a retention issue in premier institutions.
    2. Talent drain: Skilled researchers are moving to private and foreign institutions that offer better conditions.
    3. Not only pay: The problem is framed as professional environment and dignity, not compensation alone.

    What drives scientists away?

    1. Bureaucratic hierarchy: Colonial-era administrative hierarchies subordinate scientists to non-scientific control.
    2. Weak autonomy: Limited freedom over research direction and funding frustrates working scientists.
    3. Poor grievance redressal: Absent transparent grievance mechanisms, institutional disputes go unresolved.

    What would improve retention?

    1. Administrative reform: Streamlining bureaucratic control over research bodies such as the Council of Scientific and Industrial Research (CSIR) would restore autonomy.
    2. Professional dignity: Recognising scientists as decision-makers, not subordinates, addresses the core grievance.
    3. Transparent processes: Clear grievance redressal and funding rules reduce the friction pushing talent out.

    Conclusion

    India’s problem is not producing scientists but retaining them, and the cause is institutional culture, not talent or pay alone. Bureaucratic hierarchy and weak autonomy drive researchers to private and foreign institutions. Administrative reform that restores professional autonomy is the fix.

    Back2Basics

    Brain Drain to Brain Circulation

    1. Brain Drain: The emigration of highly skilled professionals, scientists, and researchers to other countries in search of better research opportunities, funding, salaries, or working conditions, resulting in a loss of talent for the home country.
    2. Brain Circulation: A model in which skilled professionals move across countries but continue to contribute to their home country through research collaborations, joint publications, mentoring, technology transfer, investments, or by eventually returning with enhanced expertise.

    Why Brain Circulation is Better

    1. Converts migration into a knowledge network rather than a permanent loss.
    2. Promotes international collaborations and access to cutting-edge research.
    3. Facilitates technology transfer and innovation.
    4. Enables return of experienced researchers with global best practices.
    5. Strengthens India’s research ecosystem without requiring every scientist to remain permanently in India.

    How India can promote Brain Circulation

    1. Create flexible return fellowships and re-entry grants.
    2. Strengthen collaboration with the Indian scientific diaspora through joint research projects and visiting professorships.
    3. Offer competitive funding, modern laboratories, and greater institutional autonomy.
    4. Simplify recruitment and administrative procedures for returning scientists.
    5. Encourage industry-academia-global research partnerships.

    PYQ Relevance

    [UPSC 2024] India is second in patent filings, yet only a few patents are commercialized. Explain the reasons.

    Linkage: The PYQ examines challenges in India’s research and innovation ecosystem. The article explains that retaining scientific talent through greater autonomy and better governance is essential for improving research output and commercialization.

  • [3rd August 2026] The Hindu OpED: Strong health systems for all with better public spending 

    PYQ Relevance
    [UPSC 2024] In a crucial domain like the public healthcare system, the Indian State should play a vital role to contain the adverse impact of marketisation of the system. Suggest some measures through which the State can enhance the reach of public healthcare at the grassroots level.
    Linkage: The PYQ focuses on strengthening public healthcare through better financing and governance. The article shows how efficient spending, preventive care, and stronger governance can improve grassroots healthcare despite limited funds.

    Mentor’s Comment

    As donor countries reduce health aid and developing countries face rising debt repayments, increasing health funding for low- and middle-income countries (LMICs) is not a realistic option in the near future. The focus has therefore shifted to using existing health budgets more effectively through full utilisation of funds, greater investment in preventive and public health, and better governance. However, while improving efficiency is essential, it cannot fully overcome the basic problem of inadequate per-person health spending.

    Why does the LMIC health financing gap appear to be narrowing but is actually widening?

    1. GDP-share convergence: The health expenditure gap between LMICs and high-income countries as a share of GDP narrowed from 2.05 percentage points in 2000 to 1.68 percentage points in 2023.
    2. Per capita divergence: In per capita terms, the same gap has expanded more than three-fold over the same period.
    3. Absolute shortfall: Per capita public spending on universal health coverage in LMICs, including government expenditure and off-budget aid, is about half the minimum benchmark identified by the World Bank.
    4. Misleading metric: A GDP-share comparison understates the real resource gap. LMIC economies and populations are growing, so per capita spending is the more accurate measure of unmet need.

    Why can LMICs no longer count on external aid or fiscal headroom to close this gap?

    1. DAH peak and reversal: Development assistance for health (DAH) peaked in 2021 during the COVID-19 pandemic and has declined sharply since.
    2. US cuts: The United States, historically the source of over a third of global DAH, announced a 67% cut to foreign assistance in early 2025.
    3. Allied cuts: The United Kingdom, France, and Germany followed with cuts of 39%, 35%, and 12% respectively.
    4. Projected decline: The OECD projects health funding could fall by up to 60% from its 2022 peak.
    5. Debt burden: Global public debt reached $102 trillion in 2024. Developing countries owed $31 trillion of this, growing twice as fast as advanced-country debt since 2010.
    6. Crowding out: Developing countries paid a record $921 billion in net interest payments in 2024, leaving less fiscal space for health.

    Why does allocated health money not reach the ground in LMICs?

    1. Execution rates: LMIC health budgets are executed at 85-90%, lower than execution rates for the general budget and for education.
    2. Deprioritisation at implementation: Underspending against allocation amounts to a deprioritisation of health at the implementation stage, even when the budget itself was adequate on paper.
    3. India infrastructure mission: A parliamentary panel found only about two-thirds of the allocation for the flagship health infrastructure mission was spent in 2024-25.
    4. India disease programmes: Within the National Health Mission, only 26% of the money earmarked for communicable and non-communicable disease programmes was used that year.
    5. Category-wise variation: Wage and salary budgets are implemented in full. Spending on goods and services is underutilised. Health workers are left without adequate supplies and equipment.

    Why does the composition of health spending matter as much as its volume?

    1. Curative bias: A large share of public health spending goes to curative care at the secondary and tertiary levels rather than preventive, primary care.
    2. India preventive share: India spends less than one-fourth of public health money on preventive care, per London School of Hygiene & Tropical Medicine estimates.
    3. Public goods logic: Public health money delivers the highest impact when spent on classic public goods such as infectious disease control or sanitation, where market failure prevents private provision.
    4. Evidence on outcomes: Public health spending markedly improves infectious disease outcomes through access, vaccination, and sanitation. It does far less for maternal, child, and non-communicable disease outcomes.
    5. Emerging pressure: Ageing populations will increase the need for spending on chronic disease risk factors, early detection, and management.

    How does governance quality determine whether health spending converts into health outcomes?

    1. Governance-spending interaction: Countries with lower corruption and stronger bureaucratic quality see greater positive effects of public health spending on outcomes such as child mortality.
    2. Converse risk: Increasing spending where governance is weak does not reliably improve outcomes.
    3. Decentralisation challenge: Growing decentralisation of service delivery makes subnational governance quality increasingly central to health outcomes.
    4. PFM components: Budget credibility, timely cash disbursement, and flexible budgets that can respond to unforeseen circumstances such as pandemics are central to good public finance management.
    5. Provider involvement: Involving public health providers in budget processes improves both their accountability and motivation.
    6. Procurement: Improving procurement processes helps achieve greater value for money in health-sector resources.

    Does spending health money better substitute for spending more, or does it merely defer the underlying financing question?

    1. Efficiency as necessity, not choice: With external aid contracting and fiscal space shrinking, efficiency reforms are being pushed as the primary lever, not because they are sufficient but because more money is currently unavailable.
    2. Limits of efficiency: Even full execution and optimal prioritisation cannot close a financing gap that stems from an absolute shortfall in per capita resources relative to benchmarks.
    3. Equity argument: Returns to health spending are greatest exactly where outcomes are poorest. Underfunded LMICs stand to lose the most from a financing pullback that efficiency measures alone cannot offset.
    4. Unresolved question: The article does not specify how the residual financing gap, after full execution and reprioritisation, will eventually be closed.

    Conclusion

    The contraction of development assistance for health and the fiscal squeeze from rising public debt have made the additional-financing pathway to closing LMIC health gaps unreliable. The immediate policy response must be to spend existing health budgets more fully, reprioritise toward preventive and public-goods spending, and strengthen governance and public finance management. These measures improve outcomes per rupee spent but do not eliminate the underlying financing shortfall. Since returns to health spending are highest where outcomes are worst, the case for restoring adequate financing remains unresolved.