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Type: Explained

These Newscards correspond to the explained section of various newspapers. They become immensely important for both prelims and mains and special attention needs to be paid to them

  • Investment question has a political answer

    Investment question has a political answer

    Why in the News

    Private corporate investment in India remains considerably lower than the peak seen in the mid 2000s, even as large corporates hold substantial cash. Firms are deploying funds in financial assets rather than building physical assets such as factories, and are taking money out of the country rather than investing it here. The standard explanations offered for this are subdued domestic demand and global uncertainty. A political economy explanation is now advanced instead, locating the cause in how political power structures affect investment decisions. Centralisation of political power has been unmistakable after 2014, accompanied by fiscal centralisation and a reconfiguration of federal structures. The contested claim is that market concentration around a handful of “national champions” is not an accident of policy but is politically useful, which would make an investment revival costly to the current political settlement.

    What are “national champions”?

    • Definition: A national champion is a large domestic business group that a government treats as the preferred vehicle for building strategic capacity, and that is favoured in policy design as a result.
    • How the status is conferred: Preference operates through the terms of auctions, tariffs, incentive eligibility, clearances and access to public contracts rather than through an announced designation.
    • The economic consequence: A handful of such groups now command far greater sway over the economy than before, which raises the entry barrier facing any firm attempting to compete with them.

    What does the investment slowdown actually look like?

    • Cash-rich firms are not building: Large corporates hold funds but are not committing them to new capacity in India.
    • Capital is leaving: Companies are taking money out of the country rather than investing it domestically.
    • Investment is below its own peak: Private corporate investment remains considerably lower than the level reached in the mid 2000s.
    • Financial assets over physical assets: Corporate India is more keen to deploy funds in financial assets than to use them for factories and plant.
    • The standard explanations are incomplete: Subdued domestic demand and global uncertainty have been put forward, and neither accounts for why firms with the means to invest choose not to.

    Why does the concentration of political and market power deter private investment?

    • Political and fiscal centralisation: Centralisation of political power after 2014 has been accompanied by greater fiscal centralisation and a reconfiguration of federal structures, including attempts to restrict the powers of states and, as a consequence, of regional parties. Eg. The Mines and Minerals (Development and Regulation) Amendment Act, 2026, amending the 1957 law under which the State owns the mineral and signs the lease while the Centre sets the rules and the royalty rate.
    • Market concentration has moved in step: The rise of a handful of large companies, aided by policy, has given them far greater sway over the economy than ever before.
    • One, patronage for smaller firms has dried up: The concentration of political power and the decline in the relative power of regional parties has ended the patronage and protection that were afforded to smaller and regional firms, who could rise up and become national players.
    • Two, policy uncertainty and an uneven playing field: Higher barriers to entry and terms tilted towards larger corporates make it harder for new players to emerge, and firms will not invest if they fear the rules of the game can be arbitrarily changed or that they can be caught on the wrong side of policies. Policy credibility is what is at stake.
    • Three, the fear of being muscled out: Investors fear that business success will be met by a hostile takeover by a national champion, so the question is not whether they are allowed to operate but whether they can stay in business and remain competitive over the next 10 to 20 years.

    Why would dispersing economic power be politically costly?

    • Competition requires a rethink of the strategy: For the larger corporate sector to ramp up investment and for competition to emerge, the strategy of relying on a few national champions needs to be reconsidered.
    • Dispersed economic power funds political opposition: A larger number of big private players would disperse rather than concentrate economic power, which would in turn increase the funding avenues available to Opposition parties.
    • Economic competition feeds political competition: Weakening the concentration of economic power would possibly weaken the concentration of political power, so greater economic competition could lead to greater political competition.
    • The two open questions: It is unsettled whether the current political structure creates the space for new players to safely invest and emerge as competitors to the national champions, or whether market concentration is itself politically useful.

    Why do the ingredients of an investment boom not produce one?

    • The macroeconomic conditions are present: An undervalued exchange rate, depressed real wages and sustained public sector investment in infrastructure are all in place, alongside the demographic dividend.
    • The same mix powered East Asia: This combination powered the rise of countries such as China and South Korea, where firms responded to it with large capacity additions.
    • India’s firms are not responding: Firms are likely to remain hesitant and unsure about investing without a change in the approach, despite those conditions.
    • Confidence, not capability, is binding: Investment decisions are taken only when investors think they have a fair chance of benefiting from them.
    • The end state if nothing changes: The consequent absence of competition raises the possibility of an uncompetitive, high-cost economy.

    Challenges to the national champions strategy

    • Concentration raises consumer and input costs: Dominant firms in a sector face little pressure to hold prices down, which raises costs for every downstream user. Eg. Telecom tariffs rose sharply after the sector consolidated into three private operators. Fix. Use the deal value threshold introduced by the Competition (Amendment) Act, 2023 to review acquisitions that current turnover tests miss.
    • Policy-created advantage is hard to withdraw: Once a group builds capacity on the strength of an incentive, removing the incentive becomes a shock the government is reluctant to deliver. Eg. Most approved incentive under the Production Linked Incentive scheme for large-scale electronics manufacturing has flowed to a small group of mobile phone assemblers. Fix. Publish sunset dates and firm-level disbursement data with each incentive scheme so withdrawal is scheduled rather than negotiated.
    • Concentrated bank exposure transmits firm risk to the system: Lending concentrated in a few large groups converts a single group’s distress into a banking problem. Eg. The corporate loan losses that produced the non-performing asset build-up of the 2010s were concentrated in a handful of infrastructure and metals groups. Fix. Enforce large exposure limits at group rather than borrower level and publish group-wise banking exposure.
    • Bidding rules can favour incumbents: Net worth, prior experience and bank guarantee conditions in auctions and tenders can exclude new entrants before price is considered. Eg. Critical mineral block auctions have repeatedly failed for want of qualified bidders. Fix. Set qualification thresholds proportionate to block or contract size and allow consortium bidding for first-time entrants.
    • Competition enforcement is slow relative to market speed: Investigations concluded years after conduct occurs cannot restore a market that has already tipped. Eg. Appeals against Competition Commission of India orders routinely run for several years before finality. Fix. Fund a dedicated appellate bench for competition matters with statutory disposal timelines.

    Conclusion

    The reluctance of cash-rich Indian firms to invest is being read as a political economy problem rather than a demand or global uncertainty problem. Concentrated political power, an uneven playing field and the fear of being displaced by a national champion together deny new entrants confidence in a 10 to 20 year horizon. Reversing that requires dispersing economic power, which carries political costs the current settlement has no incentive to accept. What remains unresolved is whether market concentration will be treated as a cost to growth or retained as a political asset.

  • What young want, and why creating good jobs is no longer optional

    Why in the News

    Almost 70 per cent of urban job seekers surveyed in Delhi said they were looking for a job that would place them on their ideal career path from the start, instead of settling for any job. The survey covered over 3,000 randomly sampled men and women, 24 years of age on average, living in middle-class residential areas of the capital, and was conducted in the summer of 2023. Their stated career goal was predominantly salaried or formal-sector employment. The Periodic Labour Force Survey (PLFS) for the same year records an urban labour market that cannot supply that goal, with less than 50 per cent of the urban workforce in salaried jobs. A follow-up experiment then exposed a random subset of the same job seekers to real-world job openings and salaries, and re-surveyed them a year later. Correcting their information lowered their expectations and left their aspirations untouched, so the contest is over who adjusts, the young or the labour market.

    What is the Periodic Labour Force Survey (PLFS)?

    • Purpose: The PLFS is the official household survey that estimates how many people are working, seeking work or outside the labour force, and in what kind of work they are engaged.
    • Nodal body: The National Sample Survey Office under the Ministry of Statistics and Programme Implementation conducts it and is the principal source of employment estimates in India.
    • Activity status measures: Usual Status classifies a person by activity over the preceding 365 days, while Current Weekly Status treats a person as unemployed if they did not work even one hour in the reference week.

    What do young urban job seekers actually want from work?

    • A career path, not a job: Almost 70 per cent said they wanted an opening that put them on their ideal career path from the start rather than any available job, and more men said this than women.
    • Formal salaried work is the goal: The stated career goal was predominantly salaried or formal-sector employment rather than casual or own-account work.
    • Women lean harder towards salaried jobs: More women job seekers aspired to salaried positions than men did.
    • Only 14 per cent of women prefer self-employment: Just 14 per cent of the women interviewed said they would rather work for themselves.
    • A third of men want to run enterprises: More than a third of the men wanted to start their own businesses.
    • Public sector preference is a myth: A comparable share of these men and women were looking for private-sector salaried jobs, which cuts against the dominant narrative of a strong preference for government jobs.

    How far does the urban labour market fall short of those preferences?

    • Salaried work is a minority outcome: Less than 50 per cent of India’s urban workforce holds a salaried job.
    • It is scarcer still for the young: Merely one in every three employed 24-year-olds holds a salaried job, a lower share than for the workforce as a whole.
    • Government jobs are a tenth of the market: No more than 10 per cent of the urban workforce is in the public sector or government jobs.
    • The formal private sector is barely larger: Only about 15 per cent of the urban workforce is in the formal private sector.
    • Self-employment is the largest single category: Of those working, 40 per cent are self-employed.
    • Most self-employment is subsistence, not enterprise: An overwhelming majority of these businesses hire no worker at all and report an annual turnover of less than Rs 10 lakh, so the aspiration to build a firm meets a market of one-person shops.

    Why do salary expectations diverge from what these jobs actually pay?

    • The occupations tested: Respondents were asked what they expected to earn as an accounts keeper, a primary school teacher, a data entry operator, a hospital attendant and an electrician, and each expectation was measured against actual PLFS earnings for the same occupation.
    • Expectations run up to 40 per cent above reality: Job seekers expect up to 40 per cent higher salary than the earnings the PLFS records for the same work.
    • Men are the more over-optimistic: Male job seekers expect almost Rs 8,000 more per month than the actual average earnings for these jobs.
    • The gap widens for salaried work: For salaried jobs specifically, male job seekers expect Rs 8,500 more per month than actual earnings.
    • The aggregate divergence exceeds 30 per cent: Taken together, salary expectations sit more than 30 per cent above reality, and the skew is sharper still among job seekers below 25 years of age, especially young men.
    • Information and inexperience explain the gap: A lack of information or outright misinformation about openings and pay, combined with inexperience of the job market, are the two obvious sources of the misalignment.

    What did correcting job seekers’ information change, and what did it leave untouched?

    • The design: A random subset of the 3,000 job seekers was informed about real-world job opportunities and salaries, and both the informed and the non-informed groups were re-surveyed twelve months later.
    • Expectations fell: Accurate information significantly dampened labour-market expectations of landing the ideal job, relative to those who were not informed.
    • Men disengaged first: Men in particular became less likely to report that they were on their ideal career path.
    • Search effort fell with belief: That disillusionment was accompanied by a decline in men’s job-search intensity.
    • The two exits from a failed search: As preferred job offers fail to materialise, job seekers adjust expectations downwards and either remain in the same jobs or leave the labour market and enrol at educational institutions.
    • Aspirations did not move: The answer on whether aspirations changed is a clear no, since these men and women continued to aim for formal-sector jobs or dynamic entrepreneurship a year later, because aspirations are long-term goals and not easily malleable.
    • High education costs make the expectation rational: Good-quality education is increasingly bought from private institutions at rising cost, so a high expected salary is not only aspirational but necessary to recover that outlay.

    Challenges to the Periodic Labour Force Survey

    • Informal work is under-captured: Household surveys do not fully record home-based, gig and platform work in a workforce that is about 90 per cent informal. Eg. Delivery and ride-hailing riders working across two aggregators are frequently recorded as ordinary self-employed workers. Fix. Align the activity definitions with International Labour Organization and System of National Accounts practice so multi-job holders, freelancers and platform workers are counted separately.
    • No skill mapping against job requirements: The survey does not match worker skills to the requirements of available jobs, so structural unemployment cannot be measured from it. Eg. The India Skills Report finding that only about half of graduates are employable has no counterpart in official survey data. Fix. Add a skills and job-requirement module so mismatch is measured rather than inferred.
    • Rural data has been low frequency: Rural estimates were historically produced only once a year, so rural distress is visible with a long lag. Eg. A monsoon failure that pushes workers back into farm labour shows up only in the following annual round. Fix. Extend high-frequency quarterly or monthly rounds to rural areas rather than confining them to towns.
    • Urban bias in the high-frequency rounds: The quarterly bulletins have been confined to urban areas, which under-measures the larger rural workforce. Eg. Quarterly urban unemployment rates are debated publicly while comparable rural numbers are unavailable. Fix. Publish a single integrated quarterly series covering both sectors on the same reference period.
    • New job categories are missing: Gig, digital, start-up and green jobs are not adequately represented in the occupational classification the survey uses. Eg. Solar installation and battery recycling roles have no distinct occupational code. Fix. Integrate Employees’ Provident Fund Organisation, National Career Service and PLFS records so emerging job creation is tracked from administrative data as well.

    Conclusion

    Young urban job seekers want formal salaried careers and dynamic enterprise, and correcting their information about the market lowers what they expect to earn without changing what they want. That asymmetry places the burden of adjustment on the economy rather than on the young, and realising these aspirations requires a structural transformation that creates jobs with regular pay and benefits. The four Labour Codes are a step in that direction, and creating good jobs and genuine career paths, rather than jobs alone, is no longer optional. Failure carries a specific cost, which is the squandered potential of an entire generation.

  • The personalised vaccine that could cut skin cancer death risk

    The personalised vaccine that could cut skin cancer death risk

    Why in the News

    A new personalised cancer vaccine, intismeran, administered alongside the immunotherapy drug Keytruda, has been shown in Phase 3 results to reduce the risk of death from the recurrence and spread of skin cancer.

    How does intismeran work?

    1. Step one, read the tumour: The therapy begins by identifying the mutations, called neoantigens, in a sample of the patient’s own tumour.
    2. Step two, build the instruction set: A vaccine is then made of synthetically developed messenger RNA (mRNA), a single stranded molecule that carries genetic instructions from DNA in the cell nucleus and tells the cell which proteins to make. Each treatment consists of mRNA coding for 34 such neoantigens.
    3. Step three, administer and translate: Once administered, the body generates these proteins from the mRNA instructions.
    4. Step four, present to the immune system: The body then presents those proteins to the immune system, which is trained to recognise them as belonging to the cancer.

    Why must a cancer vaccine be personalised?

    1. Neoantigens exist only on cancer cells: Neoantigens are proteins found only on the cancerous cells, which the body’s immune system can be trained to recognise.
    2. They differ from patient to patient: These neoantigens vary from person to person, so they become an identifier for that individual’s cancer and cannot be mass produced as a single formulation.
    3. The principle is the same as any vaccine: A vaccine for an infectious disease contains the antigen from a pathogen, the proteins or lipids that train the immune system to recognise and fight it, and this therapy contains cancer neoantigens instead.
    4. The benefit is immunological memory: The cancer’s fingerprint enters the immune system’s memory, so if the cancer returns the body can recognise it immediately and mount a response, prolonging recurrence free survival.
    5. A decade of work behind one result: Work on this approach has run for around a decade, and this is the first clinical breakthrough.

    What did the Phase 3 study find?

    1. Death risk from recurrence fell: When the vaccine was given with Keytruda, the risk of death owing to recurrence of skin cancer went down by 49 per cent.
    2. Death risk from spread fell further: The risk of death owing to the cancer spreading went down by 59 per cent.
    3. The comparison arm matters: Both results are measured against treatment with Keytruda alone, not against no treatment.
    4. The comparison arm is already strong: Keytruda (pembrolizumab, a checkpoint inhibitor that blocks the PD-1 receptor cancer cells use to switch off the immune response against them) has over the years been shown to be much more effective in treating certain cancers than traditional chemotherapy, so the gain sits on top of an established benchmark.
    5. Side effects were mild: The most common side effects noted in the study were fatigue, injection site pain and chills.

    What does this mean for India?

    1. Reason one, the disease is rare here: Melanoma is one of the most common types of cancer in the caucasian population, and is not commonly seen among Indians.
    2. The share is a fraction of a per cent: Globocan, short for Global Cancer Observatory, an online platform that maintains cancer statistics, shows that melanoma accounts for only 0.26 per cent of all cancer cases in India and 0.17 per cent of deaths.
    3. Reason two, cost: Most patients in India are unable to afford Keytruda even with patient assistance programmes, and a combination therapy compounds a barrier that already exists for the immunotherapy alone.
    4. Access to immunotherapy is already narrow: A real world study from Tata Memorial Hospital showed that only 1.6 per cent of the patients who need such immunotherapy are able to access it.

    Challenges to personalised mRNA cancer vaccines

    1. Every dose is a separate manufacturing run: The vaccine must be sequenced, designed and produced per patient, so the process cannot be batched and the turnaround competes with tumour progression. Eg. Each treatment encodes 34 neoantigens specific to one person’s tumour. Fix. Build automated, closed-system manufacturing units co-located with cancer centres, on the model already used for cell therapy production.
    2. Cost scales with individualisation: A therapy that cannot be mass produced carries no volume discount, so the price gap over a standard drug widens rather than narrows with adoption. Eg. Even the standard companion immunotherapy reaches only 1.6 per cent of Indian patients who need it. Fix. Negotiate outcome linked pricing, where payment is tied to recurrence free survival achieved rather than to doses supplied.
    3. Cold chain requirements restrict reach: mRNA products require ultra-low temperature storage and transport, which most Indian district level oncology facilities do not have. Eg. Covid-19 mRNA vaccines were never widely deployed in India partly for this reason. Fix. Extend the cold chain built for the universal immunisation programme with ultra-low temperature capacity at regional cancer centres before such therapies are introduced.
    4. Tumours can escape the target: Cancer cells can lose the targeted antigen over time, which is the known failure mode of antigen directed immunotherapy. Eg. Relapse through antigen escape is documented in CAR-T cell therapy for blood cancers. Fix. Design vaccines against multiple conserved neoantigens and pair them with checkpoint inhibitors, so escape from one target does not end the response.
    5. Regulatory pathways assume a fixed product: Approval systems are built to assess an identical formulation across a trial population, while each dose here differs by design. Eg. India’s biotechnology approvals are already split across the Department of Biotechnology, the drug regulator and the environment ministry. Fix. Create a platform approval route that licenses the manufacturing process and the design algorithm rather than each individual product.
    6. The evidence is disease specific: The result is established for melanoma alone, and benefit in the cancers that dominate India’s burden is not demonstrated. Eg. Melanoma is 0.26 per cent of Indian cancer cases while breast, oral and cervical cancers account for the bulk. Fix. Prioritise Indian participation in trials of the same platform for oral, breast and cervical cancers, so approval evidence is generated on the local disease profile.

    Conclusion

    A personalised mRNA vaccine has for the first time produced a meaningful clinical benefit in cancer, cutting the risk of death from recurrence by 49 per cent and from spread by 59 per cent when added to an existing immunotherapy. The result validates the principle that a therapy can be built against each patient’s own tumour mutations rather than against a disease in general. For India the immediate impact is limited, because melanoma is rare here and the companion drug reaches under two per cent of the patients who need it. The question that remains open is whether the platform is extended to the cancers that actually dominate India’s disease burden.

    “[2022, GS3, 15 marks] What is the basic principle behind vaccine development? How do vaccines work? What approaches were adopted by the Indian vaccine manufacturers to produce COVID-19 vaccines?”

  • What India can learn from EU’s AI reset

    What India can learn from EU’s AI reset

    Why in the News

    The European Union’s Artificial Intelligence (AI) Omnibus entered into force on 27 July 2026 and changes parts of the European Union Artificial Intelligence Act, 2024 (EU AI Act). It extends some deadlines, simplifies some compliance requirements and gives regulators and companies more time to prepare for the high-risk AI rules.

    What is the EU AI Act’s risk-based framework?

    1. The organising principle: The Act sorts AI systems by the level of risk they pose and attaches obligations to each tier. The regulatory burden rises with the potential for harm rather than with the technology used.
    2. The prohibited tier: Some AI practices are prohibited outright under the Act. No compliance route is available for a practice in this category.
    3. The high-risk tier: High-risk systems face strict obligations before and during deployment. These are the obligations whose preparation deadlines the Omnibus has extended.
    4. General-purpose models: General-purpose AI models, meaning models trained broadly and adaptable to many downstream tasks rather than built for one application, came under a specific set of rules. They are governed separately from the risk tiers that apply to particular deployments.

    What does the AI Omnibus change, and why now?

    1. The instrument and its date: The AI Omnibus entered into force on 27 July 2026. It amends parts of the AI Act rather than replacing the framework.
    2. Deadlines extended: Some compliance deadlines under the Act have been pushed back. Regulators and companies have more time to prepare for the high-risk AI rules.
    3. Compliance simplified: Some compliance requirements have been simplified. The obligations themselves remain in place at their existing levels.
    4. The reason stated: Implementation of the original framework proved difficult in practice. The Omnibus is the EU’s response to that implementation experience rather than to a change in the risk assessment.
    5. How it is characterised: The change is an admission that AI is changing faster than laws can normally change. It demonstrates that even a carefully designed regulation must be capable of adjustment.

    What are the five lessons for India?

    1. Regulation must be capable of learning: Technology changes and risks change, so regulators must have the ability to review and adjust rules. Regulation should be treated as a continuing process rather than a single enactment.
    2. Regulation needs an escape valve: Rules work only where regulators and companies have the capacity to implement them. India should consider regulatory sandboxes and regular reviews of AI rules, and sunset mechanisms could make regulation more responsive.
    3. Compliance cost decides who can compete: Large technology companies can hire lawyers, engineers and auditors, and start-ups cannot always do so. Excessive compliance costs could unintentionally favour large companies and reduce competition.
    4. Simplification must not mean deregulation: Reducing paperwork is different from reducing safeguards. AI can create serious risks involving privacy, discrimination, manipulation and opaque decision-making, and simpler regulation must not mean weaker protection.
    5. Institutional maturity is the fifth lesson: The EU has shown that even a major regulatory framework can be revised after enactment. Regulatory maturity means recognising when rules are not working and changing them.

    Where does India’s AI governance currently stand?

    1. A different path so far: India has focused on responsible AI, innovation and sector-specific governance rather than creating a comprehensive AI law. Sectoral regulators apply existing mandates to AI within their own domains.
    2. Flexibility carries a cost: Flexibility can be useful and it should not become uncertainty. Businesses need clarity, citizens need protection and regulators need clear responsibilities.
    3. The proportionality principle India would need: The regulatory burden should depend on potential harm. The greater the risk to people and society, the stronger the safeguards should be.
    4. The assets India brings: India has a large digital population and experience with digital public infrastructure. It also has a growing technology sector and experience in deploying digital services at scale.
    5. The institutions available to build on: The IndiaAI Mission can play an important role in an adaptive Indian model of AI governance. Regulatory sandboxes, sectoral regulators, research institutions and industry bodies can carry the rest.

    Is regulation genuinely a trade-off against innovation?

    1. The framing the debate defaults to: The debate over AI is often presented as a choice between regulation and innovation. That framing treats every safeguard as a cost to be traded away.
    2. Why the framing is wrong: The choice is false because unregulated deployment carries its own costs in privacy, discrimination and opaque decision-making. The challenge is to design regulation that makes innovation safer and more trusted.
    3. What the EU revision actually demonstrates: The EU relaxed timelines and paperwork and did not relax the substantive safeguards. The revision therefore tests the trade-off framing and does not confirm it.
    4. The asymmetry the framing hides: Compliance cost falls hardest on the smallest firms, so heavy regulation reduces competition and light regulation reduces protection. India must create a framework that protects citizens while allowing experimentation, and be capable of changing as technology changes.

    Challenges to a risk-based AI law in India

    1. Risk tiers age faster than statutes: A fixed list of prohibited and high-risk uses is overtaken by capabilities that did not exist when the list was drawn. Eg. General-purpose models required a separate rule set in the EU Act after the original risk-tier design was settled. Fix. Place the risk classification in delegated rules subject to a mandatory periodic review rather than in the parent statute.
    2. Regulatory capacity is the binding constraint: Enforcement requires auditors and technical staff who can inspect model behaviour, and those skills are scarce in the public sector. Eg. Implementation difficulty is the stated reason the EU extended its own high-risk deadlines. Fix. Build a shared technical audit facility under the IndiaAI Safety Institute that sectoral regulators can draw on.
    3. Algorithmic bias reproduces existing exclusion: Models trained on historical data encode the patterns of that data, including patterns of discrimination. Eg. An automated recruitment system built at Amazon was found to downgrade applications from women. Fix. Mandate pre-deployment bias testing and published audit results for any system used in employment, credit or welfare decisions.
    4. The accountability gap in automated decisions: It is often unclear who is answerable for an AI-driven decision, the developer, the deployer or the administrator. Eg. A welfare eligibility system can deny a benefit without producing a reason the applicant can contest. Fix. Impose a statutory right to an explanation and to human review for any automated decision affecting a legal right or entitlement.
    5. Compute and data concentration: AI capability is concentrated in a few advanced economies, which leaves other countries as consumers rather than creators of the technology. Eg. India’s response has been a national compute grid of over 38,000 graphics processing units under the IndiaAI Mission. Fix. Treat compute, datasets and models as shared developmental resources with subsidised access for start-ups and researchers.

    Conclusion

    The EU has demonstrated that a comprehensive AI framework can be enacted and then revised when implementation shows it is not working, and the AI Omnibus of 27 July 2026 is that revision. Its lesson for India is not that regulation should be lighter but that it should be capable of learning, proportionate to harm, affordable for small firms and explicitly separate from deregulation. India has no comprehensive AI law and has the digital public infrastructure, the sectoral regulators and the IndiaAI Mission to build an adaptive one. What remains unresolved is whether India converts its current flexibility into a stated framework with clear responsibilities, or leaves it as uncertainty that businesses and citizens both bear.

    Government Initiatives on Artificial Intelligence

    1. IndiaAI Mission, 2024: Approved with an outlay of ₹10,371 crore and implemented by IndiaAI under the Ministry of Electronics and Information Technology. Its stated vision is making AI in India and making AI work for India, delivered through seven pillars.
    2. IndiaAI Compute and AIKosh: The compute pillar operates a national AI compute grid with over 38,000 graphics processing units at up to 40 per cent lower cost for eligible users. AIKosh is the national dataset repository with over 3,000 datasets and 243 models across 20 sectors.
    3. IndiaAI Foundation Models and FutureSkills: The foundation models pillar supports indigenous multimodal models built by entities including Sarvam AI and Gnani AI. FutureSkills funds fellowships and AI labs with a focus on Tier-2 and Tier-3 cities.
    4. Safe and Trusted AI: This pillar covers bias mitigation, privacy, explainability and AI governance, and it established the IndiaAI Safety Institute as a national trust framework. NITI Aayog’s Responsible AI for All initiative runs alongside it on public discourse and ethical audits.
    5. Language and access platforms: Digital India Bhashini provides speech and translation tools across 22 Indian languages, and Project Vaani has assembled a 150,000 hour Indian speech dataset. India hosted the India AI Impact Summit 2026 at Bharat Mandapam, the first major global AI summit in the Global South.

    “[2026] Which of the following statements with regard to Large Language Models (LLMs) used in machine learning is/are correct?

    1. LLMs assign probabilities to the next possible words and then pick the one with the highest probability.

    2. LLMs process data through mathematical optimization to minimise prediction errors.

    3. LLMs produce unbiased outputs.

    (a) 1 only

    (b) 1 and 2 only

    (c) 2 and 3 only

    (d) 1, 2 and 3

  • Importance of elephant corridors in reducing conflict

    Importance of elephant corridors in reducing conflict

    Why in the News

    A Supreme Court Bench led by the Chief Justice of India directed the Centre to conduct a fresh survey of elephant corridors. The Bench held that these corridors cannot be blocked out of a fear of crop damage, because elephant herds by nature travel long distances. The Bench was hearing a writ petition on managing human-elephant conflict, which had earlier sought to prevent the use of fireballs, spikes and similar materials to drive elephants away. In its order the Bench asked the Centre to indicate the steps taken to prohibit those methods and any other “coercive measure” used to divert the natural movement of elephants. The direction sets a conservation requirement against the immediate economic loss of farmers whose fields lie along those routes.

    What is an elephant corridor?

    1. Definition: An elephant corridor is a movement pathway connecting two natural habitats, allowing herds to pass between them without entering settled land.
    2. The mapped stock: The government’s last major mapping exercise, in 2023, documented 150 elephant corridors across 15 states.
    3. Why they carry legal weight: Disrupting a corridor both sparks human-elephant conflict and poses a direct threat to the animals, which is why blockage is treated as a conservation failure rather than a land use choice.

    Why do elephants need to move over long distances?

    1. They are highly mobile mammals: Asian elephants are highly mobile and social animals, and a male elephant’s average home range, the area it typically uses for food, water and shelter, extends between 50 and 300 sq km.
    2. Movement takes more than one form: Elephants move through their range in herds or individually, so a corridor must accommodate both group and solitary passage.
    3. Home ranges are not fixed: Ranges extend or contract depending on habitat type, food availability, water sources, population density and human disturbance.
    4. Movement is seasonal: Elephant movement is strongly influenced by the seasonal and spatial distribution of food, water and habitat.
    5. A documented seasonal pattern: Seasonal migrations into Kerala are common during the dry months, as elephants seek water and food in the relatively moist forests of the Western Ghats, according to a recent Environment Ministry report.
    6. Climate has driven movement historically: Climate change and drought have both played a role in forcing elephant migration.

    What does an intact corridor actually deliver?

    1. Genetic exchange: Corridors allow elephants genetic exchange or dispersal, which maintains diversity in their population pool and prevents isolated herds from inbreeding.
    2. Seasonal resource access: Well conserved corridors give elephants access to food and water in natural habitats during seasonal changes.
    3. Fewer crop encounters: That access is what prevents elephants entering crop lands, so the corridor is the mechanism that reduces the crop damage farmers fear.
    4. Reduced mortality: A functioning pathway removes the need for herds to cross highways, railway lines and settlements, which is where non natural elephant deaths occur.

    What is fragmenting the corridors?

    1. Infrastructure construction: The major issues in recent disruptions are infrastructure construction and industrial and mining activity along or across corridor routes.
    2. Linear infrastructure specifically: Highways, existing and new railway lines, canals and power lines push elephants towards farmlands and human settlements, triggering conflict.
    3. Land use change on the fringes: Changing land use, plantations and farmland fencing fragment habitat at its edges, which closes off the approaches to a corridor even where the corridor itself survives.
    4. Mining pressure drives displacement: Habitat loss and mining pressure have pushed elephants out of established ranges and into new ones over the past two decades.

    Where is the fragmentation worst?

    1. India has four principal elephant landscapes: These are the Western Ghats; the North-Eastern Hills and Brahmaputra floodplains; the Shivalik Hills and Gangetic plains; and Central India and the Eastern Ghats.
    2. Western Ghats: The habitat of the Western Ghats population is rapidly fragmenting owing to changing land use, plantations and farmland fencing, as noted in the last all-India elephant population estimation report released in 2025.
    3. Shivalik and Brahmaputra: The same report recorded similar disruptions in the Shivalik and Brahmaputra plains.
    4. Central India and Eastern Ghats: This landscape carries the biggest challenge, with Chhattisgarh receiving elephants arriving from Jharkhand and Odisha over two decades owing to habitat loss and mining pressures.
    5. The range is still expanding: Elephants have also expanded their range into parts of Madhya Pradesh and Maharashtra, creating conflict in states with no history of managing elephant populations.

    What has the Court asked the Centre to do?

    1. A fresh survey: The Centre must conduct a fresh survey of elephant corridors, which resets the 2023 mapping exercise as the operative baseline.
    2. Crop damage is not a ground for blockage: Corridors cannot be blocked out of a fear of crop damage, since elephant herds by nature travel long distances.
    3. An account of prohibition steps: The Centre must indicate the steps taken to prohibit the use of fireballs, spikes and similar materials to drive elephants away.
    4. A wider category of prohibited action: The order extends to any other “coercive measure” used to divert the natural movement of elephants, which covers methods the petition did not name.

    Challenges to protecting elephant corridors

    1. Corridors have no independent legal status: A mapped corridor is not a notified protected area, so land inside it can be diverted for a project without triggering the safeguards that apply to a sanctuary. Eg. The 150 corridors mapped in 2023 span forest, revenue and private land with differing tenure rules. Fix. Notify identified corridors as conservation reserves or ecologically sensitive areas so diversion requires the same clearance as protected area land.
    2. The mapping baseline is dated and voluntary: The last major mapping was completed in 2023 and carries no requirement that project appraisals check against it. Eg. The Court had to direct a fresh survey rather than rely on a periodic statutory exercise. Fix. Fix a statutory five year corridor survey cycle and make the corridor layer a mandatory input to environmental clearance appraisals.
    3. Linear projects are cleared one at a time: Each highway, railway line, canal and power line is assessed on its own merits, so the cumulative severance of a corridor never appears in any single appraisal. Eg. Elephant movement in Central India was reshaped by two decades of accumulated mining and infrastructure pressure rather than any one project. Fix. Mandate landscape level cumulative impact assessment for all linear infrastructure crossing a mapped corridor.
    4. Mitigation structures are built to the wrong specification: Underpasses and overpasses are often sized for smaller species and sited for engineering convenience rather than on observed elephant crossing points. Eg. Corridors carry herds as well as solitary bulls, whose passage needs differ. Fix. Tie animal passage design to radio collar and camera trap movement data for that specific corridor before construction is approved.
    5. Corridors cross state boundaries with no joint manager: Elephants moving between Jharkhand, Odisha and Chhattisgarh pass through three forest administrations with separate budgets and separate priorities. Eg. Chhattisgarh has absorbed elephants displaced from two neighbouring states over two decades. Fix. Constitute statutory inter-state elephant landscape authorities with a pooled budget and a single management plan for each of the four landscapes.
    6. Farmers carry the cost of a conservation decision: A ruling that a corridor cannot be blocked leaves the crop losses on the cultivator who farms beside it. Eg. Seasonal migration into Kerala during the dry months moves herds through cultivated valleys. Fix. Link corridor notification to guaranteed, time bound crop compensation through direct benefit transfer, so protection and compensation are notified together.

    Conclusion

    The Court has established that an elephant corridor is not negotiable against crop protection. The binding constraint is that the network was last mapped in 2023, while infrastructure, mining and land use change have continued to cut across it in all four elephant landscapes. The next step is the Centre’s response to the two directions recorded above, on the fresh survey and on prohibition.

    Back2Basics: The Asian Elephant

    1. Status: The Asian elephant is listed as Endangered on the IUCN Red List and is placed in Appendix I of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES).
    2. Domestic protection: It is listed in Schedule I of the Wildlife (Protection) Act, 1972, the highest level of protection available under Indian law.
    3. Range: India holds the largest wild population of the species, distributed across the four elephant landscapes covering the Western Ghats, the North East, the Shivaliks and Central India with the Eastern Ghats.

    “[2022] With reference to Indian laws about wildlife protection, consider the following statements :

    1. Wild animals are the sole property of the government.

    2. When a wild animal is declared protected, such animal is entitled for equal protection whether it is found in protected areas or outside.

    3. Apprehension of a protected wild animal becoming a danger to human life is sufficient ground for its capture or killing.

    Which of the statements given above is/are correct ?

    (a) 1 and 2

    (b) 2 only

    (c) 1 and 3

    (d) 3 only

  • AI is transforming cyber attacks as well as defences: What this means for India

    AI is transforming cyber attacks as well as defences: What this means for India

    Why in the News

    Artificial Intelligence (AI) is now amplifying cyber threats across the cyber kill chain at speed, scale and sophistication, and is developing the ability to act as an autonomous agent that identifies, plans, adapts and carries out offensive cyber operations. The shift follows the fastest technology adoption on record: the Internet took 15 years to reach a billion users, and ChatGPT did so in three. The tension is that AI capability is concentrated in very few countries, so the same technology that raises the threat also determines who can defend against it. India’s indigenous AI ecosystem lags the United States and China across the entire AI stack, leaving it exposed on both sides of that equation.

    What is the cyber kill chain?

    1. Definition: The cyber kill chain is the sequence of stages an attacker must complete to succeed, running from reconnaissance on a target, through weaponisation of malicious code, to command and control of the compromised system.
    2. Why the framework matters: Defence has traditionally worked by breaking any one link in that chain, since an attack that fails at one stage cannot proceed to the next.
    3. What AI changes: AI is now compressing or automating several stages at once, so breaking a single link no longer stops the sequence.

    How is AI amplifying offensive cyber operations?

    1. Reconnaissance is automated: Gathering information about a target once depended on humans, and research shows ChatGPT models being used to mine social media for precise details to craft AI generated phishing emails.
    2. Deepfakes are now real time: AI is generating real time deepfakes, deepening confusion about what is authentic online.
    3. Social engineering scales: AI enabled social engineering, the use of AI to trick or persuade people into taking harmful actions, no longer requires a human operator per target.
    4. Malware no longer holds a fixed shape: Large language models (LLMs) can autonomously generate, modify and restructure polymorphic malware to suit the situation, unlike traditional malware, which relies on fixed signatures and predictable patterns.
    5. An AI has already run an attack chain: In September 2025 Anthropic claimed a Chinese state sponsored group, GTG-1002, had used Claude Code as an autonomous cyber agent across multiple stages of an attack, in what the company called the first reported case of an AI orchestrated cyber espionage campaign.

    Why does autonomous vulnerability discovery change the risk?

    1. Zero-days are being found at scale: Anthropic’s latest frontier model, Claude Mythos Preview, has identified thousands of zero-day vulnerabilities, meaning flaws previously unknown to developers, across major operating systems and browsers, many of them critical.
    2. It builds the exploits too: The model developed related exploits largely without human intervention, collapsing the gap between finding a flaw and being able to use it.
    3. Hardened systems are not exempt: It found a 27 year old vulnerability in OpenBSD, an operating system reputed to be highly security hardened and widely used to run firewalls and critical infrastructure.
    4. Industrial systems are the exposed surface: Such vulnerabilities are especially dangerous for Operational Technology (OT) and Industrial Control Systems (ICS), the computing that governs nuclear facilities, energy grids, pharmaceutical manufacturing, chemical processing, oil refineries and communication networks.
    5. Exposure grows with integration: That infrastructure becomes more exposed as it integrates further with AI, so the adoption that improves efficiency also widens the attack surface.

    Why do old cyber defences no longer hold?

    1. Signature matching fails against shape shifting code: Traditional antivirus looks for known malware fingerprints, which malware that constantly changes and adapts no longer presents.
    2. Static patching is too slow: Security patches written for known vulnerabilities are far less effective when new flaws are discovered and weaponised faster than patch cycles run.
    3. AI defence works differently: AI in cybersecurity enables real time threat detection, automated response and large scale data analysis, mitigating risks faster than human led triage.
    4. The divide has shifted: The real AI divide is not about who uses AI but about who builds it and who controls its development, which is why cybersecurity capability now tracks AI capability.

    How exposed is India?

    1. A nuclear plant’s data was posted: The ransomware group World Leaks claimed to have stolen and posted data related to India’s largest nuclear plant, Kudankulam, including blueprints of facility parts and supplier details.
    2. The ranking moved sharply: Cyber intelligence firm CloudSEK’s 2024 report placed India as the second most cyber attacked nation after the United States, and its 2025 report placed India sixth.
    3. State backed actors targeted defence during a conflict: During Operation Sindoor, Pakistan backed threat actors such as APT36 targeted India’s critical sectors, including the Ministry of Defence, the Army, the Navy and the Defence Research and Development Organisation (DRDO).
    4. A new target class appeared: The same campaign targeted Bharat Operating System Solutions (BOSS) Linux for the first time, extending the attack surface to India’s indigenous operating system.

    Can India defend a cyberspace built on an AI stack it does not own?

    1. The ecosystem is incremental: India’s indigenous AI ecosystem remains incremental and lags well behind the United States and China across the AI stack.
    2. The gap is at every layer: The shortfall runs across foundational models, graphics processing units, chip design and large scale data centre infrastructure, so no single procurement closes it.
    3. Dependence is the security problem: The lag leaves India heavily dependent on the United States and other technologically advanced countries for the very tools its defence now requires.
    4. Capability determines both roles: Countries with leading AI ecosystems gain a greater ability both to conduct sophisticated cyber campaigns and to defend against them, so dependence caps India’s ceiling on defence as well as deterrence.

    What has India done so far?

    1. CERT-In has shifted its methods: The Indian Computer Emergency Response Team (CERT-In), the national agency for responding to cyber security incidents, has since 2025 adopted AI driven threat detection, cyber resilience measures, trusted AI frameworks and citizen centric malware mitigation.
    2. A specific advisory was issued: In April 2026 it issued an advisory for organisations on defending against AI driven cyber risks.
    3. The advisory’s operative instructions: Recommendations included “removing unnecessary internet-facing services” and treating every newly discovered vulnerability as something that “could be exploited within hours, not weeks”.
    4. Governance work is at the framework stage: The Ministry of Electronics and Information Technology (MeitY) is exploring a consent based framework for synthetically generated content, alongside curbs on agentic AI autonomy and clearer liability frameworks for AI models.

    Challenges to India’s AI-enabled cyber defence

    1. Defence rests on advisories rather than obligations: CERT-In’s guidance to organisations is recommendatory, so a private operator of critical infrastructure faces no penalty for ignoring it. Eg. The April 2026 advisory asked organisations to remove unnecessary internet facing services, with no compliance audit attached. Fix. Convert the advisory content into mandatory, audited security baselines for power, banking, telecom and healthcare operators under the Information Technology Act, 2000.
    2. Compute dependence caps defensive AI: Running real time detection models at national scale needs domestic graphics processing unit capacity that India does not have. Eg. India’s shortfall spans foundational models, chip design and large scale data centre infrastructure alike. Fix. Prioritise sovereign compute for security workloads specifically, reserving a share of publicly funded AI infrastructure for CERT-In and sector CSIRTs.
    3. Attribution is harder when the attacker is an agent: An AI orchestrated campaign leaves a machine’s traces rather than an operator’s, which weakens the evidentiary basis for a state response. Eg. The GTG-1002 campaign was identified by the model provider, not by a victim’s own forensics. Fix. Mandate model providers serving Indian users to report detected misuse of their systems for offensive operations, on the six hour breach reporting model already in force.
    4. Legacy industrial systems cannot be patched quickly: Control systems in refineries and grids run on decade old software where a patch requires a plant shutdown. Eg. A 27 year old OpenBSD flaw survived in software widely used to run firewalls and critical infrastructure. Fix. Require network segmentation and one way data diodes between industrial control networks and corporate networks, so an unpatched system is not internet reachable.
    5. The skills base is thin at the state level: Cyber investigation and forensics capacity is concentrated in central agencies, while most first response happens at state police stations. Eg. Citizen fraud complaints route through the national helpline before reaching local police with the capacity to act. Fix. Establish State Computer Emergency Response Teams and cyber forensic laboratories with dedicated cyber police training academies in every State.

    Conclusion

    AI has moved cyber conflict from a contest between attackers and defenders to a contest between countries that build AI and countries that buy it. India sits on the wrong side of that line while carrying one of the world’s largest attack volumes, from a ransomware posting of Kudankulam plant data to state backed targeting of its defence establishment. India cannot build the AI stack quickly, so the immediate requirement is that AI and cybersecurity stop being treated in silos and are handled as interconnected strands of policymaking: AI for cyber defence, and cybersecurity for AI.

    “[2022, GS3, 10 marks] 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.”

  • 5 years on, how India has warmed up to the Taliban

    5 years on, how India has warmed up to the Taliban

    Why in the News

    The Afghanistan embassy in New Delhi marked “victory day” on 15 August 2026, five years after the Taliban’s takeover of the country. Indian diplomats and about two dozen foreign diplomats attended the event. The occasion sits against a reversal: on 17 August 2021 India hurriedly evacuated its entire embassy from Kabul after the Ashraf Ghani led government collapsed. That collapse came ahead of the 31 August deadline set by the United States President for the withdrawal of American troops. India now conducts business with the Islamist regime without granting it official diplomatic recognition. Indian officials describe this as “cautious engagement”, and critics describe it as “opportunistic”.

    What is engagement without official recognition?

    1. The status being withheld: Diplomatic recognition is a state’s formal acceptance that a given authority is the lawful government of a country, which allows full ambassadorial exchange and treaty dealings. India has not granted it to the Taliban.
    2. What India does instead: India deals with the Taliban as the effective administering authority, running missions, delivering aid and negotiating projects, without conceding legal status. Recognition can then be traded later for concessions.
    3. The visible marker of the gap: The Afghan missions in Delhi, Mumbai and Hyderabad are manned by Taliban appointed diplomats. The main flagpole of the Delhi embassy continues to fly the old Afghan Republic’s tricolour.

    How did India move from evacuation to engagement?

    1. First official contact, 31 August 2021: Hours after the last United States military aircraft flew out of Kabul, ending a 20 year war, India made its first official contact with the Taliban. India’s Ambassador to Qatar met the head of the Taliban political office in Doha at the embassy.
    2. First acknowledgement, September 2021: India recognised the Taliban as “those in positions of power and authority across Afghanistan”, the first clear description of the group as a state actor.
    3. First aid consignment, December 2021: India sent its first consignment of medicines to Afghanistan under the new Taliban regime, choosing to distinguish the regime from the Afghan people.
    4. Technical team, late June 2022: India sent a “technical team” to the embassy in Kabul to coordinate delivery of humanitarian aid.
    5. Ministerial contact opens, January 2024: The Taliban Foreign Minister met diplomats from regional nations including India in January 2024. The Foreign Secretary held a substantive meeting with him in Dubai in January 2025.
    6. Contact reaches Cabinet level, May 2025: The External Affairs Minister spoke to the Taliban Foreign Minister by phone on 15 May 2025. The call came days after India and Pakistan agreed to stop military strikes.
    7. Mission upgrade, April to October 2025: India sent the Joint Secretary in charge of the Pakistan, Afghanistan and Iran division of the Ministry of External Affairs to Kabul in April 2025. The Taliban Foreign Minister then visited India in October 2025, and both sides decided to upgrade their missions to embassy level and appoint charge d’affaires.

    Why is India deepening ties with the regime it once shunned?

    1. Protecting a sunk investment: India invested for years in Afghanistan after the fall of the Taliban in 2001, and the government concluded that it had to upgrade engagement or watch its USD 2 to 3 billion investment go down the drain.
    2. Leverage, not charity: The investment was meant for the people of Afghanistan and to create leverage and influence inside the country. Withdrawal would have surrendered both.
    3. Pakistan has become the Taliban’s adversary: The Taliban’s once benefactor and ally has turned into a deadly opponent, with multiple clashes along their contested border. New Delhi reads this as a window of opportunity.
    4. China is filling the Western vacuum: Beijing has started building bridges with the Taliban and is eyeing Afghanistan’s natural resources.
    5. Russia is the pacing partner: Russia is the only country to have established diplomatic ties with the Taliban, and Delhi has been working with Moscow on the Taliban to keep track of Chinese influence.
    6. Presence inside Delhi’s own calendar: The Taliban appointed Charge d’affaires, Mufti Noor Ahmad Noor, has attended the Prime Minister’s Independence Day address, the President’s At Home reception and a diplomatic event at the Norwegian embassy.

    What are India’s security concerns in Afghanistan?

    1. The operating principle: New Delhi has operated on the principle that Afghanistan’s territory should not be used for anti-India activities or for support to terrorist groups.
    2. The threat assessment is unchanged: An 10 August 2026 report of the United Nations Security Council’s 1267 sanctions committee stated that the terrorist threat emanating from Afghanistan remained largely unchanged.
    3. The de facto authorities cannot suppress it: The same report found that despite efforts by the de facto authorities to combat Islamic State in Iraq and the Levant-Khorasan (ISIL-K) and contain other groups, they were unable to suppress the terrorist problem. It also said Al-Qaeda’s status and strength in Afghanistan remains unchanged.
    4. What the report did not say: It carried no mention of anti-India terror groups such as Lashkar-e-Taiba and Jaish-e-Mohammad, a silence New Delhi reads as relief rather than assurance.
    5. Assurances so far are verbal: Engagement has been “limited”, and the Taliban has indicated it will be “reasonable” in the way it “handles” Indian concerns. The security provided to Indian diplomats in Kabul has given the Indian establishment some confidence.
    6. The regime’s own pitch: The Charge d’affaires told the victory day gathering that Afghanistan’s geography “should not be a field for negative competition, but rather a bridge for connectivity, cooperation and shared prosperity”, a message read as directed at both India and Pakistan.

    What has India given up to secure this engagement?

    1. The aid record is substantial: Since August 2021 India has delivered 50,000 metric tonnes of wheat and over 445 tonnes of essential life saving medicines, vaccines and disaster relief material.
    2. The rights record is not: Since taking control the Taliban has eroded the rights of Afghanistan’s 22 million women, barring school access for girls over 12, curbing travel without a male chaperone and bringing a law implying legal approval for child marriage.
    3. India once led on this at the United Nations: A Security Council resolution on 30 August 2021 on upholding human rights and women’s rights in Afghanistan was adopted under India’s rotating presidency. In December 2022 India expressed concern over the Taliban banning women from universities.
    4. The red lines have been dropped: Rights for minorities and women are no longer part of either the Taliban’s or India’s publicly stated red lines, and India has not insisted on the old positions.
    5. What replaced them: India has agreed to move forward on development cooperation for Indian funded projects and on visas for Afghans visiting India for medical treatment, business and education.

    Challenges to India’s engagement with the Taliban

    1. Recognition is a one way concession: Formal recognition is the only remaining bargaining chip, and granting it removes India’s last point of leverage over the regime’s conduct. Eg. The Delhi embassy’s flagpole still carries the Afghan Republic’s tricolour, the single visible marker of what has not yet been conceded. Fix. Tie any move on recognition to specified, verifiable commitments on counter terrorism access and on women’s education, published as conditions rather than expectations.
    2. Assurances rest on no verification mechanism: India has no independent means of confirming that Afghan territory is not being used against it, and depends on United Nations monitoring reports issued months apart. Eg. The 1267 committee’s own assessment says the de facto authorities were unable to suppress the terrorist problem. Fix. Seek a standing bilateral security channel with agreed reporting on named groups, modelled on India’s existing joint working groups on counter terrorism.
    3. The rights silence carries a reputational cost: India’s abandonment of the positions it advanced at the Security Council in 2021 weakens its standing as a votary of rules based conduct. Eg. India’s own presidency delivered the 30 August 2021 resolution on women’s rights that it no longer presses. Fix. Separate the humanitarian and development track from the political track, so aid continues while India keeps stating the rights position in multilateral forums.
    4. Projects have no legal protection: Indian funded assets sit in a country whose government India does not recognise, so no treaty or investment protection framework covers them. Eg. Development cooperation on Indian funded projects has restarted without any bilateral investment instrument in force. Fix. Route new project commitments through United Nations agencies and multilateral funds that carry their own immunities and audit trails.
    5. The Pakistan window can close: The engagement rests on the Taliban’s current estrangement from Pakistan, which is a function of border clashes rather than of any settled alignment. Eg. Both sides have seen multiple clashes along their contested border. Fix. Build the relationship on connectivity and trade assets India controls, such as Chabahar port access, which survive a swing back in Kabul’s alignment.

    Conclusion

    India has completed a strategic embrace of the Taliban in everything except name, trading its 2021 human rights positions for security assurances and the protection of a two to three billion dollar investment. The engagement is now institutional, with Taliban appointed diplomats manning three Afghan missions in India and both sides committed to embassy level representation. What remains unresolved is recognition itself, and with it the only leverage India still holds over the regime’s conduct on terrorism and on women’s rights.

    [2026] “Match List I with List II and select the answer using the code given below the Lists:
    List I (Project Supported by India)List II (Country)
    A. Mangdechhu Hydroelectric Project1. Maldivas
    B. Restoration of Stor Palace2. Afghanistan
    C. District Hospital at Dickoya3. Bhutan
    D. Institute of Security and Law Enforcement Studies4. Sri Lanka
    Code: A B C D

    [A] 1 4 2 3

    [B] 3 2 4 1

    [C] 3 4 2 1

    [D] 1 2 4 3

  • Over 13,000 UG seats still up for grabs at Delhi University

    Over 13,000 UG seats still up for grabs at Delhi University

    Why in the News

    The University of Delhi has declared 13,344 undergraduate seats vacant for the 2026-27 intake and invited students to a spot admission round on the Common Seat Allocation System (CSAS) portal. The vacancies survive multiple rounds of allocation run on Common University Entrance Test (CUET) scores. The first round of seat allocation began on 16 July and the academic session commenced on 28 July. The university has separately opened undergraduate admission on Class 12 Central Board of Secondary Education (CBSE) scores instead of CUET results, at a list of colleges that has been expanded three times since 20 August. A single national entrance test built to standardise central university admission is being set aside mid-session by the largest of those universities.

    What is the Common Seat Allocation System (CSAS)?

    1. A single centralised admission portal: CSAS is the online platform through which the University of Delhi allocates undergraduate seats across all its colleges from one common applicant pool.
    2. Preference plus score based allocation: An applicant registers once, submits a ranked list of college and programme combinations, and is allotted a seat by merit against those preferences.
    3. Multiple rounds with a spot round at the end: Allocation runs in successive rounds as candidates accept, decline or upgrade. A spot round is opened at the close to fill seats no earlier round could clear.

    Where are the vacant seats concentrated?

    1. Scale against total intake: The university has approximately 71,600 undergraduate seats, so the vacancy stands at 13,344 as of 1 p.m. on Sunday.
    2. Reserved categories carry the largest share: Other Backward Classes-Non-Creamy Layer accounts for 4,133 vacant seats, Scheduled Tribes for 2,476 and Scheduled Castes for 2,038.
    3. General and Economically Weaker Section vacancies: The general category has 2,113 seats available and the Economically Weaker Section 1,791.
    4. Minority quota vacancies: The Sikh minorities category has 566 vacant seats and the Christian minorities category 316.
    5. Language programmes dominate the gap: Most vacant seats sit in BA (Hons) courses in various languages, including Sanskrit, Tamil and Bengali.
    6. North Campus colleges are not insulated: St. Stephen’s College, Hindu College, Hansraj College and Kirori Mal College all carry seats available in BA and B.Sc. (Hons) science subjects, in languages and in the BA programme.

    What does the shift to Class 12 CBSE score based admission signal?

    1. A second entry route opened mid-session: The university introduced undergraduate admission based on Class 12 CBSE scores as an alternative to CUET results, after the session had already commenced.
    2. The eligible college list keeps widening: A list of 11 colleges with vacant seats admitting on CBSE results was released on 20 August, four more colleges were added on 21 August, and the list was expanded again on 23 August.
    3. Established women’s colleges have joined: Indraprastha College for Women and Gargi College commenced admission to the BA (Hons) Sanskrit programme on CBSE results.
    4. The entrance test is not the binding constraint: Seats remain empty at colleges with high demand, so the shortfall reflects programme preference rather than an absence of qualified applicants.
    5. Administration reads it as a scheduling matter: The Dean of Admissions stated that the spot admission round was announced on schedule and that the university expects to fill all remaining seats.

    Challenges to the Common Seat Allocation System

    1. Preference locking traps candidates in low demand programmes: An applicant who ranks a prestigious college above a preferred subject can be allotted a course they will not join, which converts an accepted seat into a later vacancy. Eg. Language honours programmes at North Campus colleges carry the bulk of this year’s vacancies. Fix. Allow a subject first preference stream alongside the college first stream, so a candidate declares which of the two is binding.
    2. Multi-round upgrades leave seats stranded late in the cycle: Every upgrade vacates a seat downstream, and seats vacated in the final rounds arrive after the session has begun. Eg. The academic session commenced on 28 July while allocation continued past 23 August. Fix. Cap the number of upgrade rounds and hold a mandatory physical reporting deadline before the session opens.
    3. Reserved category seats do not migrate: Unfilled Scheduled Caste, Scheduled Tribe and Other Backward Classes seats cannot be converted to other categories, so they persist across rounds. Eg. Other Backward Classes-Non-Creamy Layer alone accounts for 4,133 of this year’s vacancies. Fix. Publish category wise applicant to seat ratios before allocation opens, so candidates can target categories with genuine headroom.
    4. A single test date compresses the eligible pool: Candidates who miss or underperform in one CUET sitting have no second attempt in the same cycle, unlike the multiple sittings offered by other national tests. Eg. The Joint Entrance Examination (Main) is conducted in two sessions a year with the better score counted. Fix. Move CUET to two sittings a year with the higher score taken.
    5. Parallel admission routes weaken the common merit standard: Admitting to the same programme on CUET in one college and on Class 12 board marks in another creates two different entry bars for one degree. Eg. BA (Hons) Sanskrit is now open on CBSE results at colleges where CUET based rounds could not fill it. Fix. Notify in advance the vacancy threshold at which a board score route opens, so the fallback is a published rule rather than a mid-session decision.

    Conclusion

    Delhi University’s undergraduate seat vacancy survived its CUET based rounds, and it has opened both a CSAS spot round and a parallel Class 12 board score route to clear it. The immediate status is that admission continues past the start of the academic session, with the CBSE score based college list still being extended. The next milestone is the close of the spot admission round and the university’s final seat matrix for 2026-27. Whether a single national entrance test can allocate seats in a university of this size within one session remains the open question.

    “[2022, GS2, 15 marks] The Right of Children to Free and Compulsory Education Act, 2009 remains inadequate in promoting incentive-based system for children’s education without generating awareness about the importance of schooling. Analyse.”

  • To build Delhi’s future, learn from past missteps

    Why in the News

    Delhi’s fourth Master Plan was notified last week, with an emphasis on expanding public transport, ecological restoration, redevelopment, affordable housing and mixed land use. It follows the third Master Plan, which came into effect about 25 years ago when the city’s population was about 14 million, Gurugram and Noida were fledgling suburbs, the first lines of the Metro network were being laid, and a compressed natural gas policy for public transport had been introduced as a pollution-control measure. Another 10 million people have made the capital their home since then, and the air quality improvement of the 2000s and early 2010s has given way to an almost intractable pollution crisis. The third plan’s vision of a more sustainable city was defeated by municipal inertia and a lack of alignment among civic agencies, the Centre and the Delhi government. The contest is whether the fourth plan’s content can survive the same fragmented authority that defeated the third.

    What is the Delhi Master Plan?

    1. What it is: A Master Plan is a statutory long-range land use document that fixes how land in a planning area may be used, at what density, and with what infrastructure provision.
    2. Statutory basis: The Delhi Development Authority prepares and the Central Government approves it under the Delhi Development Act, 1957, which makes departure from the notified land use unlawful.
    3. Cycle: Each plan runs for a perspective period of roughly two decades, and the plan notified last week is the fourth in the series.

    What has changed in Delhi since the third Master Plan?

    1. Population then: The city’s population was about 14 million when the third Master Plan came into effect about 25 years ago.
    2. Population added since: Another 10 million people have made the capital their home in the intervening period.
    3. Satellite cities were still small: Gurugram and Noida were fledgling suburbs at that point and are now full cities in their own right.
    4. The Metro did not yet exist: The first lines of the capital’s Metro network were being laid when the third plan took effect.
    5. The pollution response of that era: A compressed natural gas policy for public transport had just been introduced as a pollution-control measure.
    6. Two outcomes since: Civic infrastructure in the neighbouring cities has come under acute stress, and the air quality improvement Delhi experienced for much of the 2000s and early 2010s has given way to an almost intractable pollution crisis.

    What does the fourth Master Plan propose?

    1. Five stated emphases: The plan is built around expanding public transport, ecological restoration, redevelopment of built-up areas, affordable housing and mixed land use, which reverses the outward expansion the earlier plans assumed.
    2. A large housing target: It carries an ambition of roughly 40 lakh additional homes by 2047 at affordable rates, to be met on land already inside the city rather than through fresh acquisition at the periphery.
    3. Higher permitted densities: Development norms are made more flexible so an existing plot can carry more floor space, which is the mechanism by which the housing target is to be delivered without new land.
    4. An end to rigid zoning: The plan records the futility of rigidly demarcating residential and commercial areas, since mixed use shortens the average work trip and lightens the load on the road network.
    5. Water bodies get attention: Restoration of the city’s water bodies and the nurturing of green spaces enter the plan as a standing planning obligation rather than as a separate departmental programme.
    6. The claimed payoff: Implemented as written, these measures ease the city’s longstanding traffic congestion and improve its air quality.

    Why can Delhi no longer grow by expanding outward?

    1. Land inside the territory is finite: With limited land available within the National Capital Territory, outward expansion has reached its limit.
    2. Existing land must work harder: Better utilisation of existing urban land therefore becomes more important than acquiring new land at the edge.
    3. The periphery is already strained: The stress on the civic infrastructure of neighbouring cities shows that pushing growth outward transfers the problem rather than solving it.
    4. Density and transport reinforce each other: Environment-friendly transport combined with mixed land use shortens trips, which is where the congestion and air quality gains come from.
    5. Ecological health follows land use: Redevelopment paired with the nurturing of green spaces and the city’s water bodies is what connects the land use choice to the well-being of residents.

    Why does fragmented civic authority defeat a good plan?

    1. Two persistent governance deficits: Municipal inertia and a lack of alignment among civic agencies, the Centre and the Delhi government are the national capital’s most persistent governance problems.
    2. They defeated the previous plan: These deficits were the biggest bottleneck in realising the previous Master Plan’s vision of a more sustainable city.
    3. Twenty-five years of research say the same thing: Work on pollution, Yamuna restoration, waste management, urban flooding and transport development has pointed consistently to the need for concerted action among departments.
    4. Metro expansion depends on four other agencies: A Metro line works best when bus routes, last-mile connectivity, parking rules and pedestrian facilities are designed around it, and each of those sits with a different authority.
    5. Land use cannot be separated from drainage: Land-use planning and infrastructure development cannot be divorced from the requirements of curbing water logging.
    6. Safety approvals need shared information: Building approvals, fire safety and emergency response require effective information-sharing among construction, fire and municipal authorities.
    7. The failures are already visible: Repeated fire incidents, building collapses and the strain placed on the city’s infrastructure during heavy rainfall have exposed the risks of fragmented and overlapping responsibilities among agencies.

    Challenges to the fourth Delhi Master Plan

    1. Higher density without matching services: Raising permitted density on existing land increases the load on water, sewerage and power networks that are already at capacity. Eg. Under 27 per cent of urban homes in India are connected to sewer lines. Fix. Tie each density increase to a notified infrastructure augmentation plan for that zone before the higher norm takes effect.
    2. Affordable housing targets have historically underdelivered: A large notified housing number does not by itself produce units at prices the intended buyers can pay. Eg. India carries an estimated shortage of about 1.87 crore urban housing units. Fix. Use in-situ redevelopment and rental stock alongside ownership housing, on the model of the Odisha JAGA Mission’s land titling.
    3. Unauthorised construction outruns the plan: Land use notified on paper is routinely departed from where enforcement is weak, which converts the plan into a document rather than a constraint. Eg. Only about 30 per cent of India’s urban land is properly planned. Fix. Publish a public geographic information system layer of notified land use against surveyed construction, updated annually.
    4. No single planning authority for the region: Delhi’s growth spills into Gurugram, Noida and Ghaziabad, which the National Capital Territory plan cannot bind. Eg. Congestion costs Delhi commuters 76 hours a year, much of it on inter-state commutes. Fix. Constitute and empower a Metropolitan Planning Committee under Article 243ZE with a statutory regional land use mandate.
    5. Municipal finances cannot fund the plan: Ecological restoration, drainage and transit feeders require sustained capital that city governments do not raise. Eg. Indian cities raise under 0.6 per cent of Gross Domestic Product in their own revenue, of which property tax is only 0.15 per cent. Fix. Modernise property tax assessment and issue municipal bonds against ring-fenced user charge revenue.

    Conclusion

    Delhi’s fourth Master Plan is a credible blueprint, and its emphasis on compact growth, mixed land use, public transport and ecological restoration addresses the failures of the last 25 years. Its content is not the binding constraint. The fragmentation of civic authority that defeated its predecessor, examined above, is left untouched by it. Delhi has a blueprint for improving liveability, and what it needs is to learn from past failures.

    “[2019, GS1, 15 marks] How is efficient and affordable urban mass transport key to the rapid economic development of India?”

  • Triple test, adrift

    Why in the News

    On 20 August 2026, a nine judge Bench of the Supreme Court of India delivered a judgment on the correctness of the ruling in Bangalore Water Supply and Sewerage Board vs A. Rajappa (1978). That 1978 judgment laid down the “Triple Test” for what counts as an “industry” under Section 2(j) of the Industrial Disputes Act, 1947. The present Bench left the Triple Test standing for all pending disputes under the older Act. A majority of the same Bench also ruled that the 1978 judgment will not be a “sheet anchor” for interpreting Section 2(p) of the Industrial Relations Code, 2020. The tension is that Section 2(p) itself reproduces much of the Triple Test’s essence, so an interpretive framework has been severed from a provision that continues to embody it.

    What is the “Triple Test” on what counts as an “industry”?

    1. The three conditions: An activity qualifies as an industry where three conditions are met together: a systematic activity, employer-employee cooperation, and production or distribution of goods and services to satisfy human wants other than those that are purely religious or spiritual.
    2. Profit is irrelevant: Profit motive plays no part in the determination. What matters is the nature of the activity itself, so a loss making or non-commercial body can still be an industry.
    3. The single exclusion: Only “sovereign functions” stand outside the definition, which is a narrow carve out rather than a general exemption for the State.

    How did the reference reach a nine judge Bench?

    1. The origin: The Triple Test was laid down in the 1978 judgment, which read Section 2(j) of the Industrial Disputes Act, 1947 expansively.
    2. The doubt: A five judge Bench in State of U.P. vs Jai Bir Singh (2005) raised a doubt about that definition.
    3. The escalation: A seven judge Bench then sent the question to the current nine judge Bench.
    4. The statute changed while the reference was pending: The Industrial Disputes Act, 1947 was repealed on 21 November 2025, when the Industrial Relations Code, 2020 came into force.
    5. The Bench therefore faced two statutes: It had to decide the status of the Triple Test both for disputes still pending under the repealed Act and for interpretation of the successor provision, which is why the ruling splits along those two lines.

    What did the majority and the dissent hold?

    1. Pending disputes are unaffected: The Bench, led by the Chief Justice of India, left the Triple Test standing for all pending disputes under the older Industrial Disputes Act, 1947.
    2. The anchor was removed for the new Code: A majority of the nine judge Bench ruled that the 1978 judgment will not be a “sheet anchor” for interpreting Section 2(p) of the Industrial Relations Code, 2020.
    3. The dissent went further than disagreement: The dissenting opinion held that the reference itself was unnecessary and that the Triple Test requires no interference at all.
    4. The dissent was not isolated: That view was shared by three other judges on the Bench, so the split on the reference question was narrow rather than lopsided.

    Why does an expansive definition of “industry” matter more now than in 1978?

    1. The workforce has moved: Since 1978, and particularly after the liberalisation and privatisation reforms of 1991, a far higher number of workers have moved to the private sector, out of the security of public employment.
    2. Security no longer comes from the employer: For a worker outside public employment, statutory coverage rather than employment status is what provides protection.
    3. Definition decides access: Whether an establishment is an “industry” determines whether its workers can raise an industrial dispute at all, so the definition is the gateway to every protection that follows.
    4. Most of the workforce is outside formal protection: About 90 per cent of India’s workforce is informal, and nearly 58 per cent of salaried workers still lack a written contract.
    5. The expansive reading is therefore a bulwark: An expansive definition of industry is more necessary now than it was in 1978, precisely because the cushion of public employment has shrunk.

    Was the Triple Test a pro-labour device or a framework for industrial peace?

    1. It was not merely pro-labour: The Triple Test was not only a device for extending worker protection, though it is usually described that way.
    2. It brought restrictions with it: An expansive definition of industry brought with it not just the protections of the Industrial Disputes Act, 1947 but also its restrictions.
    3. The employer gained a defined route: It gave employers a regulated route to retrenchment and closure, rather than leaving those decisions to be contested without a framework.
    4. Workers accepted a limit in return: It carried a bar on workers striking at will, so the coverage came with a procedural discipline on industrial action.
    5. The net effect was industrial peace: In essence the Triple Test allowed for industrial peace rather than worker welfare alone, which is what makes its removal a loss to both sides rather than to one.

    Why is setting the 1978 judgment aside difficult to justify?

    1. The successor provision did not change the test: Section 2(p) of the Industrial Relations Code, 2020 does not move away from the Triple Test formula and reproduces much of its essence.
    2. The reasoning does not follow: It is therefore difficult to understand why the 1978 judgment has to be set aside when Section 2(p) itself comes up for interpretation.
    3. A framework, not just a precedent, was cut away: Severing that principle from the Code cuts away the interpretive framework that allowed such disputes to be resolved at all.
    4. Two footings now coexist: Pending disputes under the repealed Act will be decided on the Triple Test, and disputes under the Code will be decided without it as an anchor, on a definition that says much the same thing.
    5. The burden shifts to the lower courts: It is now incumbent upon courts and tribunals to ensure that a change of statute is not read as a change of intent, and they must do so with the anchor removed.

    Challenges to the definition of “industry” under the Industrial Relations Code, 2020

    1. Litigation will restart from zero: With the 1978 judgment displaced as the anchor, every category of establishment settled over four decades becomes arguable again. Eg. Hospitals, educational institutions and charitable bodies were brought within the definition on the strength of that judgment. Fix. Insert a statutory explanation to Section 2(p) listing the categories expressly included and excluded, so the question is settled by text rather than by fresh litigation.
    2. The “sovereign functions” exclusion has no statutory boundary: The carve out is judicially defined, so its width expands or contracts with each ruling rather than by legislative choice. Eg. Municipal and public utility bodies performing statutory duties have repeatedly contested their status as industries. Fix. Define sovereign functions in the Code by reference to a listed set of constitutional functions.
    3. Threshold changes shrink the protected group: Raising the retrenchment and closure approval threshold reduces how many workers the framework covers regardless of how “industry” is defined. Eg. The Industrial Relations Code, 2020 raises the closure and retrenchment threshold from 100 to 300 workers. Fix. Pair the higher threshold with a statutory retrenchment compensation escalator and a funded reskilling entitlement.
    4. Platform and contract work sits outside the frame: The employer-employee cooperation limb assumes an identifiable employer, which app-mediated and multi-layered contract work does not supply. Eg. Aggregator platforms classify workers as partners rather than employees, which places them outside the industrial dispute route. Fix. Deem an aggregator to be the principal employer for the purpose of dispute resolution where it controls pricing and task allocation.
    5. Two parallel regimes will run for years: Pending disputes under the repealed Act and new disputes under the Code will be decided on different interpretive footings for as long as the backlog lasts. Eg. Industrial disputes routinely take a decade or more to reach final decision. Fix. Issue a transitional provision directing that Section 2(p) be construed consistently with the settled position under Section 2(j) for a stated period.
    6. Tribunal capacity has not been strengthened: A framework that shifts interpretive burden to tribunals fails where those tribunals are understaffed and slow. Eg. Industrial tribunals and labour courts carry long standing vacancies alongside a large pending case load. Fix. Fill sanctioned tribunal posts on a fixed calendar and publish disposal timelines for industrial dispute references.

    Conclusion

    The nine judge Bench preserved the Triple Test where it no longer decides much and removed it where it would have decided most. The relationship between the successor provision and the test, set out above, is what makes that split hard to defend. The dissenting view, that the reference was unnecessary and the test required no interference, is the more coherent reading of a workforce that has moved into private employment since 1978 and needs an expansive definition more, not less. It now falls to courts and tribunals to ensure that a change of statute is not read as a change of intent, without the anchor that would have made that straightforward.

    “[2024, GS3, 15 marks] Discuss the merits and demerits of the four ‘Labour Codes’ in the context of labour market reforms in India. What has been the progress so far in this regard?”