Essay Writing · UPSC Notes
Model Essays — UPSC Essay Notes
Free, exam-focused notes for UPSC Prelims and Mains, with Prelims tips and Mains points for every topic. 5 topics.
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Model Essay 1 (Philosophical): Freedom Is Not the Absence of Limits but the Choice of the Right Ones
A complete model essay on a philosophical theme. It opens with the kite-and-string image, argues that real freedom is self-chosen limits, tests the idea at the level of the individual, society, state and humanity, takes the counter-view that limits are often imposed by the powerful, and concludes by returning to the kite.
Introduction
A boy on a rooftop once complained to his grandfather that the string was holding his kite back. "Cut it," he said, "and it will fly to the sky." The grandfather cut the string. For a moment the kite leapt upward; then it twisted, lost the wind and fell into a neighbour's courtyard. "The string was not holding it down," the old man said. "It was holding it up."
We often imagine freedom as the kite without a string—the absence of every rule, duty and boundary. Yet human experience suggests the opposite. Freedom is not the absence of limits but the wisdom and courage to choose the right ones. Limits that we understand and accept—of conscience, law, discipline and care for others—are what allow a person, a society and a nation to rise rather than drift.
Freedom and the Individual
At the personal level, a life without limits quickly becomes a life ruled by impulses. The student who refuses every timetable is not free; he is governed by distraction. The musician who has practised scales for years is free to improvise precisely because she accepted the discipline of practice. Indian thought captured this in the idea of swaraj: when Gandhi wrote Hind Swaraj in 1909, he meant not only political independence but rule over oneself. Self-control is not the opposite of freedom; it is its foundation. The Bhagavad Gita describes the person of steady wisdom (sthitaprajna) as one who, like a tortoise drawing in its limbs, can withdraw the senses from their objects; such a person is not less free but more, because no passing desire can command him.
Modern life sharpens the point. Endless choice—on screens, in shops, in careers—can paralyse as much as liberate. People who set limits on their attention, spending and ambition often report greater peace than those who chase every option. The right limit converts possibility into direction.
Freedom in Society
Social life is a web of shared limits. Traffic rules restrict each driver, yet they make it possible for everyone to reach home. John Stuart Mill, the great defender of liberty, accepted one essential limit in On Liberty (1859): power may be exercised over an individual against his will only to prevent harm to others. Freedom of one person ends where it begins to destroy the freedom of another.
Communities that choose good limits—norms of honesty, respect for elders and the young, care for public spaces—enjoy more trust and therefore more freedom. Where such limits collapse, people build higher walls, hire more guards and trust no one. Paradoxically, the society without self-limits ends up less free. Consider the difference between a hostel where students voluntarily keep common rooms clean and quiet, and one where every rule must be enforced by a warden. The first is freer, not because it has fewer limits but because its members have made the limits their own. Social reformers understood this: lasting change comes when people internalise new norms, not merely when laws are passed.
Freedom and the State
The Indian Constitution embodies this balance. Article 19 guarantees freedoms of speech, assembly, association, movement, residence and profession, but allows reasonable restrictions in the interests of sovereignty, public order, decency and morality. The word 'reasonable' is the heart of the matter: limits must be necessary, proportionate and reviewable by courts. Dr B.R. Ambedkar warned in the Constituent Assembly that liberty, equality and fraternity form a union; liberty divorced from equality produces the supremacy of the few over the many.
Democracy itself is freedom choosing its own limits. Elections, separation of powers, a free press and independent courts restrain those in power so that citizens can remain free. A government that accepts limits on itself is stronger in legitimacy than one that claims unlimited power. The Emergency of 1975–77 showed how quickly freedoms can vanish when limits on power are removed; the 44th Amendment of 1978 responded by restoring safeguards—for instance, by providing that the rights under Articles 20 and 21 cannot be suspended even during an emergency. A free nation, in other words, deliberately ties its own hands.
Freedom for Humanity and the Planet
At the global level, the unlimited freedom to consume has brought climate change, biodiversity loss and plastic in the oceans. Humanity's freedom to flourish in the future depends on limits chosen today—on emissions, on waste, on the exploitation of commons. Agreements to protect the ozone layer and to cut emissions are examples of nations voluntarily binding themselves to keep a shared future open. The line widely attributed to Gandhi—that the earth provides enough to satisfy every man's need, but not every man's greed—is, at heart, an argument for chosen limits.
The Counter-View
One may object that history is full of limits that were not 'right' at all: caste restrictions, laws barring women from property or education, colonial censorship, unjust detention. Limits are often chosen by the powerful for the weak. The objection is serious. It shows that the key word in our thesis is choice. Limits imposed without consent, reason or equality are chains, not strings. The freedom struggle, the reform movements of Raja Ram Mohan Roy, Jyotiba Phule and Savitribai Phule, and the Constitution's abolition of untouchability under Article 17 were all acts of rejecting wrong limits in favour of right ones.
So the test of a good limit is threefold: Is it chosen or consented to? Does it protect the freedom of others? Can it be questioned and revised? Limits that pass this test liberate; limits that fail it oppress.
Way Forward
For individuals, this means cultivating self-discipline rather than waiting for external control—digital boundaries, financial prudence, ethical red lines. For society, it means debating norms openly instead of enforcing them by fear. For the state, it means restrictions that are narrow, proportionate and transparent, with strong judicial review. For humanity, it means cooperative limits on the use of shared resources.
Conclusion
Freedom without limits is like the kite without its string—a brief, thrilling leap followed by a fall. Freedom with wrong limits is a kite tied to the ground. Between these lies true freedom: a string held by a wise hand, letting the kite climb as high as the wind allows while keeping it from being lost. The task of each person and each generation is to keep examining that string—to cut the cords of injustice, and to hold firmly the threads of conscience, law and care that let us rise.
| Part | What it does | Approx. words |
|---|---|---|
| Introduction | Kite-and-string anecdote; thesis: freedom is choosing the right limits | 150 |
| Individual | Self-discipline, swaraj as self-rule, limits on choice and attention | 170 |
| Society | Mill's harm principle, shared norms and trust | 150 |
| State | Article 19 reasonable restrictions, Ambedkar, limits on power | 170 |
| Humanity and planet | Limits on consumption and emissions | 90 |
| Counter-view | Unjust imposed limits; test of a good limit | 180 |
| Way forward and conclusion | Actions at each level; return to the kite | 190 |
Prelims tips
- Gandhi wrote Hind Swaraj in 1909, defining swaraj as self-rule including rule over oneself.
- J.S. Mill's On Liberty (1859) states the 'harm principle'.
- Article 19(2)–(6) permit 'reasonable restrictions' on the freedoms in Article 19(1).
- Article 17 abolishes untouchability and forbids its practice in any form.
- Isaiah Berlin's essay 'Two Concepts of Liberty' (1958) distinguished negative liberty (freedom from interference) and positive liberty (freedom to be one's own master).
Mains points
- The essay uses one image (kite and string) at the start and end, which gives unity and a memorable conclusion.
- Each body section moves up a level—individual, society, state, humanity—showing breadth without losing the thread.
- The counter-view is not a token paragraph: it sharpens the thesis by adding the condition of consent and fairness.
- Constitutional anchors (Articles 17 and 19) and thinkers (Gandhi, Mill, Ambedkar) are used briefly to support arguments, not to display knowledge.
Did you know?
- Hind Swaraj was written in Gujarati aboard the ship Kildonan Castle on Gandhi's return from London to South Africa in 1909.
- The Montreal Protocol (1987) on ozone-depleting substances is the first UN treaty to be ratified by every UN member state.
Model Essay 2 (Social): Dignity of Labour Is the Foundation of a Just Society
A complete model essay on a social theme. It opens with a classroom anecdote, traces the hierarchy of work in Indian society, uses Basavanna, Guru Nanak and Gandhi as moral anchors, links dignity of labour to constitutional values, economics and gender, answers the counter-view that all work cannot be equally valued, and closes with a practical way forward.
Introduction
In many Japanese schools, pupils sweep their own classrooms, wipe corridors and clean washrooms as part of the daily routine. Visitors from other countries are often surprised. Yet the practice teaches something no textbook can: no task that keeps a community healthy is beneath anyone. In much of India, by contrast, a child learns early that some work is 'respectable' and some is not—and that the people who do the second kind deserve less respect.
This hierarchy of work is not a small social habit; it is a quiet foundation of injustice. A society that despises the hands that clean, build, cook and harvest cannot be just, however fast it grows. Dignity of labour—the belief that all honest work deserves respect and fair reward—is therefore not merely a moral nicety but the foundation of a just society.
The Roots of the Problem
Historically, the caste order tied occupations to birth and ranked them by notions of purity and pollution. Manual work, especially cleaning and leather work, was pushed onto communities who were then denied education, land and social equality. Colonial administration and later the prestige of white-collar jobs added a new layer: the clerk was honoured, the craftsman was not. The result is a mindset in which a young person may prefer unemployment to 'lowly' work, and a worker's caste or gender still shapes the wage and respect he or she receives.
Moral Traditions that Honour Work
Indian traditions also offer a powerful counter-current. The twelfth-century Kannada saint Basavanna taught 'Kayakave Kailasa'—work itself is the abode of the divine. Guru Nanak asked his followers to 'kirat karo', earn an honest living through one's own labour, and to share it. Gandhi, influenced by Ruskin's Unto This Last and by Tolstoy, made 'bread labour' a rule in his ashrams: everyone, including himself, cleaned latrines and spun yarn. These ideas show that respect for labour is not a borrowed value; it is rooted in India's own moral heritage. The Bhakti saints themselves often came from working communities—Kabir was a weaver, Ravidas a cobbler, Namdev a tailor—and their poetry gave spiritual dignity to the very occupations society looked down upon.
The Constitutional Vision
The Constitution translated this vision into law. Article 17 abolished untouchability; Article 23 prohibits forced labour and begar; the Directive Principles ask the State to secure just and humane conditions of work (Article 42) and a living wage (Article 43). Parliament has prohibited the employment of manual scavengers (2013 Act), and labour laws have been consolidated into four Labour Codes. A just society, in the Constitution's sense, is one where no person's work becomes a mark of social inferiority. Dr B.R. Ambedkar went further, arguing in Annihilation of Caste (1936) that caste is not merely a division of labour but a division of labourers, graded one above the other. Dignity of labour therefore requires dismantling that gradation, not just praising work in speeches.
The Economic Dimension
Disrespect for manual and technical work hurts the economy. When skilled trades such as plumbing, welding, nursing and farming are seen as second-class, talented young people avoid them, skill shortages grow and productivity stays low. Countries known for manufacturing excellence give vocational education high status. India's large workforce in agriculture, construction and informal services will only become prosperous if their work is upgraded with skills, safety and fair pay—and if society respects it. Germany's dual system, which combines classroom learning with paid apprenticeships in firms, is often cited as an example of how vocational paths can carry respect and good wages.
The Gender Dimension
The most invisible labour is the unpaid care work done mostly by women—cooking, cleaning, caring for children and the elderly. Because it carries no wage, it is rarely counted as 'work'. The domestic workers and community health workers who do similar paid work often receive low wages and little social protection. Recognising the dignity of care work—through sharing it within families, valuing it in policy and protecting workers—is essential for gender justice. Recognising unpaid work also means counting it: the time-use surveys of the National Statistical Office make this invisible labour visible in national data.
The Counter-View
Some argue that work cannot all be equally valued: a surgeon's skill is rarer than a cleaner's, and markets rightly pay differently. This is partly true. Dignity of labour does not mean identical wages. It means that differences in pay must not become differences in human worth, that every worker deserves safe conditions and a living wage, and that no work is assigned by birth. Another objection holds that modern technology will remove the need for manual labour. Yet even automated societies need care, repair and maintenance work—and the way we treat those workers will still define our justice.
Way Forward
First, education must change attitudes early: school routines in which every child shares cleaning and gardening, and curricula that celebrate craftsmen, farmers and nurses. Second, vocational skills should carry the same prestige and pathways as academic degrees. Third, the State must enforce minimum wages, social security for informal and platform workers, and the complete mechanisation of hazardous sanitation work. Fourth, public figures and civil servants can lead by example, treating every worker with courtesy. Finally, families must share household work so that daughters do not inherit it as an unpaid duty.
Conclusion
The child who sweeps her classroom in the morning learns that a clean room is everyone's achievement. A just society needs that lesson at national scale. When the hands that build, clean, harvest and heal are honoured as much as the hands that sign files, inequality loses one of its oldest supports. Dignity of labour is not charity to the worker; it is justice to the work—and the ground on which a fair society can stand.
| Part | What it does | Approx. words |
|---|---|---|
| Introduction | Japanese school-cleaning anecdote; thesis | 160 |
| Roots of the problem | Caste, purity-pollution, white-collar prestige | 120 |
| Moral traditions | Basavanna, Guru Nanak, Gandhi's bread labour | 120 |
| Constitution | Articles 17, 23, 42, 43; manual scavenging law; Labour Codes | 110 |
| Economy and gender | Skills and productivity; unpaid care work | 200 |
| Counter-view | Unequal value of skills; automation | 140 |
| Way forward and conclusion | Education, vocational prestige, enforcement, families; return to the classroom | 200 |
Prelims tips
- Basavanna (12th century, Karnataka) preached 'Kayakave Kailasa' (work is worship) and is credited with the Anubhava Mantapa, a forum for open spiritual and social debate.
- Article 23 prohibits traffic in human beings, begar and other forms of forced labour.
- Article 43 (Directive Principle) asks the State to secure a living wage and decent standard of life for workers.
- The Prohibition of Employment as Manual Scavengers and their Rehabilitation Act was enacted in 2013.
- Gandhi's idea of 'bread labour' was drawn from Ruskin's Unto This Last and Tolstoy.
Mains points
- The essay links a social attitude (hierarchy of work) to structural injustice (caste, gender, informality), which gives analytical depth.
- Indian moral traditions are used to show that dignity of labour is an indigenous value, avoiding the impression of a borrowed idea.
- The counter-view separates 'equal dignity' from 'equal pay', a distinction that makes the argument realistic.
- Way-forward points are specific and multi-actor (school, State, public figures, family), which examiners reward over generic suggestions.
Did you know?
- In Japan the daily school cleaning period is called 'o-soji'.
- In his autobiography Gandhi recalls a bitter quarrel with Kasturba in Durban over cleaning a guest's chamber pot—an episode he later described with regret.
Model Essay 3 (Economic): Growth That Does Not Create Jobs Is a Promise Half Kept
A complete model essay on an economic theme. It argues that growth is a means to dignified livelihoods, explains why employment lags output in India (structural transformation, informality, low female participation, skills), uses dated PLFS data, presents the counter-view that productivity growth must come first, and offers a jobs-centred way forward.
Introduction
Every year, newspapers carry stories of thousands of graduates, engineers and even doctorate holders applying for a handful of clerical or peon posts in some government department. The same newspapers also report that India is among the fastest-growing large economies in the world. These two headlines, placed side by side, tell a story: an economy can grow while many of its young people wait at the gate.
Growth is a promise—that rising national income will lift families out of poverty, give the young a future and make citizens partners in prosperity. When growth comes mainly from capital, a few sectors or a narrow set of firms, and fails to create enough good jobs, that promise is only half kept. Output rises, but dignity, security and opportunity do not spread.
Why Jobs Matter More Than Numbers
A job is not only income. It gives a person identity, social respect and a stake in the system. Amartya Sen's capability approach reminds us that development is the expansion of real freedoms; employment is one of the most important of these freedoms. Unemployed or underemployed youth lose skills, delay marriage and family life, and may turn to frustration or unrest. For a country with a large young population, jobs decide whether that population becomes a dividend or a burden. The window is not permanent: as fertility falls, the share of working-age people will eventually peak and decline, as it already has in China and Japan. A country that does not create jobs while it is young may grow old before it grows rich.
The Structural Problem
Classic development, described by economists such as Arthur Lewis, moves workers from low-productivity farming into higher-productivity manufacturing and services. In India this transition has been incomplete. According to the Periodic Labour Force Survey, about 46% of workers were still in agriculture in 2023-24, a sector that produces a much smaller share of national output. Many moved out of farms into construction and informal services rather than into factories. Growth has been led by skill-intensive services such as IT and finance, which employ relatively few people. Manufacturing, which absorbed millions of rural workers in China, South Korea and Taiwan, has remained a modest share of India's output, so the classic escalator from farm to factory has carried fewer people than expected.
Informality and Quality of Work
Even where work exists, much of it is informal—without written contracts, paid leave or social security. Self-employment and unpaid family work form a large part of employment. A street vendor or a gig delivery partner is counted as employed, yet faces uncertain earnings and no protection against illness or accidents. A promise of growth is fully kept only when the jobs it creates are secure and decent. Low productivity in small, informal enterprises also keeps wages low; many firms stay small to avoid regulation and therefore never reach the scale that would let them invest in technology and training.
The Missing Women
Female participation in the labour force has risen in recent years—PLFS shows it at 41.7% in 2023-24 (usual status, age 15+), up from 37.0% the previous year—but much of this rise is in self-employment and farm work, and it remains well below the male rate. Social norms, safety concerns, unpaid care work and a lack of suitable jobs near home keep many women out of paid work. Growth that excludes half the population's talent is not just unfair; it is inefficient.
Skills and Education
Employers frequently report that graduates lack practical skills, while graduates find few jobs that match their degrees. The mismatch lies partly in an education system oriented towards examinations rather than abilities, and partly in the low prestige of vocational training. Without skilling at scale, new technologies may raise output while displacing routine jobs.
The Counter-View
Some economists argue that the priority must be productivity and competitiveness: high-growth sectors generate tax revenue that can fund welfare, and forcing labour-intensive patterns may lock the economy into low wages. Automation, they add, is inevitable. There is truth here—jobs without productivity cannot raise living standards. But the experience of East Asian economies shows that labour-intensive manufacturing, such as garments and electronics assembly, can be the bridge from farm to factory while productivity rises. The choice is not between growth and jobs; it is about the pattern of growth. Even advanced economies now design industrial and tax policies with employment in mind, having learned that regions left without work become centres of discontent.
Way Forward
A jobs-centred strategy would include: support for labour-intensive manufacturing (textiles, footwear, food processing, toys, electronics assembly) through infrastructure, logistics and simpler compliance; strengthening MSMEs, which employ the bulk of non-farm workers, through credit and market access; making agriculture more productive and linking it to agro-processing so that rural jobs grow; public investment in care services, health and education, which are both job-rich and socially valuable; skilling linked to industry demand and apprenticeships; and safe transport, childcare and workplace safety to bring more women into paid work. Social security for gig and platform workers, recognised in the Code on Social Security, 2020, must be implemented in practice.
Conclusion
The graduates in the long queue for a few posts are not asking for charity; they are asking for the second half of the promise of growth. A nation's economic success should be measured not only by the size of its GDP but by how many of its citizens can earn a dignified living through their own effort. When growth creates work—secure, productive and open to all—the promise will be fully kept.
| Part | What it does | Approx. words |
|---|---|---|
| Introduction | Queue of graduates vs fast growth; thesis | 160 |
| Why jobs matter | Dignity, capability approach, demographic dividend | 110 |
| Structural problem | Lewis model; 46% in agriculture (PLFS 2023-24); services-led growth | 130 |
| Informality, women, skills | Quality of work; female LFPR 41.7% (2023-24); skill mismatch | 260 |
| Counter-view | Productivity first; East Asian labour-intensive path | 130 |
| Way forward and conclusion | Labour-intensive manufacturing, MSMEs, agro-processing, care economy, skills, women, gig workers | 220 |
Prelims tips
- PLFS (Periodic Labour Force Survey) is conducted by the National Statistics Office under MoSPI.
- PLFS 2023-24: female LFPR (usual status, 15+) 41.7%, up from 37.0% in 2022-23; male LFPR 78.8%.
- About 46% of India's workforce was engaged in agriculture in 2023-24 (PLFS).
- The Code on Social Security, 2020 is the first central law to define 'gig workers' and 'platform workers'.
- W. Arthur Lewis's dual-sector model (1954) explains development as the transfer of surplus labour from agriculture to modern industry.
Mains points
- The essay treats jobs as a matter of dignity and capability, not only income, which lifts an economic topic to the essay level.
- Dated official data (PLFS 2023-24) is used sparingly to support arguments—two numbers are enough in an essay.
- The counter-view is answered with evidence of a third path (labour-intensive manufacturing), avoiding a false choice between growth and jobs.
- The way forward covers supply (skills), demand (sectors), inclusion (women) and protection (social security), giving a complete policy picture.
Did you know?
- Arthur Lewis shared the 1979 Nobel Prize in Economics with Theodore Schultz for research on economic development.
- The phrase 'jobless growth' became common in Indian debates in the 2000s, when output grew fast but organised employment rose slowly.
Model Essay 4 (Technology): Machines That Think Need Humans Who Reflect
A complete model essay on technology. It opens with Kasparov versus Deep Blue, argues that the more machines can 'think', the more humans must reflect on ends, values and consequences, examines AI across work, governance, democracy, education and the self, weighs the counter-view that regulation slows innovation, and proposes human-centred AI.
Introduction
In 1997, IBM's computer Deep Blue defeated the world chess champion Garry Kasparov in a six-game match. Many saw it as the moment machines overtook the human mind. Kasparov himself drew a different lesson: in later years he promoted 'advanced chess', in which humans and computers play together, arguing that a human with a machine could beat both a lone grandmaster and a lone computer. The machine calculated; the human judged.
Today, artificial intelligence writes, translates, diagnoses, recommends and predicts. The question is no longer whether machines can 'think' in some useful sense, but whether humans will continue to reflect—to ask why, for whom and at what cost. Machines that think need humans who reflect, because intelligence without reflection can multiply both our wisdom and our mistakes.
What Machines Do and What They Cannot
AI systems find patterns in vast data at a speed no human can match. But they optimise for goals that humans set and learn from data that humans produce—including our prejudices. They do not, on their own, understand context, feel responsibility or weigh competing values. A recommendation engine maximises attention, not well-being; a credit algorithm predicts repayment, not fairness. Reflection is the human work of deciding which goals are worth optimising. Joseph Weizenbaum, who built the early chatbot ELIZA in the 1960s, was disturbed to see people confide in a simple program as if it understood them. His warning—that decisions requiring wisdom and compassion should not be handed over to computers—has become more urgent as machines become more persuasive.
Work and the Economy
AI can raise productivity in agriculture, health, logistics and public services, and can open new kinds of work. It can also displace routine jobs in data entry, customer support and even parts of programming. Whether AI widens or narrows inequality depends on human choices: investment in reskilling, social protection during transitions and policies that share productivity gains. The machine does not decide who benefits; societies do. History supports this: the industrial revolution eventually raised living standards, but only after decades of harsh conditions that were softened by labour laws, public education and social insurance—human choices made after reflection.
Governance and Justice
Governments are using algorithms to target welfare, detect fraud and manage traffic. Used well, this can reduce corruption and delay. Used without reflection, it can exclude the poor through data errors, profile communities unfairly or make decisions no one can explain. A citizen denied a benefit deserves to know why. Principles of transparency, accountability and the right to appeal must travel with every algorithm used by the State. India's Digital Personal Data Protection Act, 2023 and the European Union's AI Act (2024) are early attempts to set such rules. Courts, too, will need to ask whether automated decisions respect the right to privacy, which the Supreme Court recognised as a fundamental right in the Puttaswamy judgment of 2017.
Democracy and Truth
Generative AI can produce realistic fake videos, voices and news at negligible cost. In elections and conflicts, deepfakes can mislead voters, defame individuals and erode trust in all information. The response cannot be technological alone. Citizens need media literacy, platforms need responsibility for amplification, and the public needs the habit of pausing before sharing—the everyday form of reflection. Reflection is needed among the builders of AI as well: engineers and companies must ask, before releasing a tool, how it might be misused and who might be harmed.
Education and the Self
When an AI tool can draft an essay in seconds, the purpose of education must shift from producing answers to developing judgement, curiosity and ethical sense. Plato records Socrates' worry that writing would weaken memory; every new tool raises such fears. The answer is not to ban tools but to teach students to question them, verify their outputs and think for themselves. At a personal level, constant algorithmic recommendations can narrow our tastes and opinions; reflection protects the freedom to choose what we read, believe and become.
The Counter-View
Some argue that excessive caution and regulation will slow innovation, leaving countries that hesitate behind those that race ahead. Others say AI will eventually reason better than humans, making human oversight unnecessary. There is merit in the first concern: rules must be proportionate, risk-based and supportive of research. But the second claim misunderstands the issue. Even a system that reasons perfectly towards a goal cannot tell us which goals a society should pursue. That is a question of values—and values remain a human responsibility.
Way Forward
A human-centred approach would combine: risk-based regulation that is strict for high-stakes uses (policing, health, credit, elections) and light for low-risk uses; transparency and audit of public-sector algorithms; investment in domestic computing capacity and in AI for public goods such as agriculture, health and Indian languages; reskilling programmes and social protection for affected workers; ethics and critical thinking in school and university curricula; and international cooperation on safety standards. Above all, institutions should keep a 'human in the loop' wherever decisions affect rights and lives.
Conclusion
Kasparov's lesson from his defeat was that the best results come not from machines alone or humans alone, but from humans who know how to use machines wisely. As machines grow more capable, the most important human skill will not be calculation but reflection—asking what is worth doing, for whom and why. Machines that think can extend our reach; only humans who reflect can make sure we are reaching for the right things.
| Part | What it does | Approx. words |
|---|---|---|
| Introduction | Deep Blue vs Kasparov (1997); thesis on reflection | 180 |
| Limits of machines | Optimisation without values; bias in data | 100 |
| Work and economy | Productivity, displacement, sharing gains | 90 |
| Governance and democracy | Algorithmic welfare, explainability, DPDP Act 2023, EU AI Act; deepfakes | 200 |
| Education and self | Purpose of education; Socrates on writing; filter bubbles | 130 |
| Counter-view | Regulation vs innovation; 'AI will reason better' | 130 |
| Way forward and conclusion | Risk-based rules, audits, public-good AI, reskilling, curricula; return to Kasparov | 200 |
Prelims tips
- IBM's Deep Blue defeated world chess champion Garry Kasparov in a six-game match in 1997.
- India's Digital Personal Data Protection Act was enacted in 2023; its Rules were notified in November 2025.
- The European Union's Artificial Intelligence Act (2024) follows a risk-based approach, with the strictest rules for 'high-risk' uses.
- In Plato's dialogue Phaedrus, Socrates argues that writing will weaken memory—an early 'technology anxiety'.
- A 'deepfake' is synthetic audio, image or video generated with AI to impersonate a real person.
Mains points
- The thesis shifts the debate from 'Can machines think?' to 'Will humans reflect?', which is original and keeps the essay human-centred.
- Each dimension shows both promise and risk, then names the human choice that decides the outcome—a pattern that keeps the essay balanced.
- Concrete legal anchors (DPDP Act 2023, EU AI Act 2024) are mentioned briefly; the essay does not become a technical note.
- The counter-view is split into a valid concern (over-regulation) and a mistaken one (machines replacing value judgements), showing analytical precision.
Did you know?
- Kasparov had beaten an earlier version of Deep Blue in 1996 before losing the 1997 rematch.
- The term 'artificial intelligence' was coined for the 1956 Dartmouth summer research project organised by John McCarthy and others.
Model Essay 5 (Environment): We Do Not Inherit the Earth from Our Ancestors; We Borrow It from Our Children
A complete model essay on environment built around intergenerational equity. It opens with the Bishnoi sacrifice at Khejarli, reframes nature as a loan to be repaid, examines individual, community, national and global dimensions, addresses the development-versus-environment counter-view, and ends with a practical way forward.
Introduction
In 1730, in the village of Khejarli near Jodhpur, soldiers arrived to cut khejri trees for the Maharaja's new palace. A Bishnoi woman, Amrita Devi, hugged a tree and refused to move, saying that a severed head is cheaper than a felled tree. She and, according to tradition, more than three hundred villagers gave their lives before the order was withdrawn. They were not protecting property they owned; they were protecting something they believed they held in trust.
A saying often quoted by environmentalists captures that spirit: we do not inherit the earth from our ancestors; we borrow it from our children. If the earth is an inheritance, we may spend it as we like. If it is a loan, we must return it in at least as good a condition as we received it. This shift—from owner to trustee—is the moral heart of sustainable development.
The Idea of Intergenerational Equity
The Brundtland Commission's report Our Common Future (1987) defined sustainable development as development that meets the needs of the present without compromising the ability of future generations to meet their own needs. Future generations cannot vote, protest or sign contracts; yet our choices about carbon, forests, groundwater and soil will shape their lives. Treating the earth as a loan gives them a moral voice in today's decisions. Indian thought expresses a similar idea: the Prithvi Sukta of the Atharva Veda declares 'mata bhumih putro aham prithivyah'—the earth is my mother and I am her son—and a child does not plunder a parent's home.
The Individual and the Household
Repayment begins at home: saving water and electricity, reducing food waste, refusing single-use plastic, and choosing public transport where possible. India's Mission LiFE (Lifestyle for Environment), launched in 2022, builds on this idea of mindful consumption. Individual action alone cannot solve climate change, but it shapes markets, norms and political demand. When households across India switched to LED bulbs under the UJALA programme, the combined electricity savings were comparable to the output of several large power plants—an example of small choices adding up.
Communities as Trustees
India has long traditions of community stewardship—sacred groves protected by villages, the Bishnoi code of protecting trees and animals, and the Chipko movement of the 1970s in the Garhwal Himalaya, where women hugged trees to stop commercial felling. Joint forest management and the Forest Rights Act, 2006 recognised that people who live with forests are often their best guardians. Communities that benefit from healthy ecosystems have a direct stake in returning them intact.
The Nation and the State
The Constitution makes environmental protection a shared duty: Article 48A directs the State to protect and improve the environment, and Article 51A(g) asks every citizen to protect forests, lakes, rivers and wildlife. The Supreme Court has read the right to a clean environment into Article 21 and applied the 'polluter pays' and 'precautionary' principles. In Vellore Citizens' Welfare Forum (1996) the Court treated these principles as part of Indian environmental law, and in M.C. Mehta v. Kamal Nath (1997) it held that natural resources are held by the State in public trust. Under its updated Nationally Determined Contribution (2022), India aims to reduce the emissions intensity of its GDP by 45% from 2005 levels by 2030 and to obtain about 50% of its installed electric power capacity from non-fossil sources by 2030, with a net-zero goal for 2070.
The World
Climate change, ocean plastic and biodiversity loss cross borders. At the 1972 Stockholm Conference, Indira Gandhi asked whether poverty and need were not the greatest polluters—reminding the world that environmental duty must be fair. The principle of common but differentiated responsibilities recognises that countries which emitted most in the past owe the most today, through deeper cuts and finance and technology for others. Borrowing from our children is a global loan; repayment must be shared fairly. The Paris Agreement of 2015, under which every country sets its own Nationally Determined Contribution, reflects this blend of shared duty and national circumstance.
The Counter-View
Critics argue that a developing country with millions in poverty cannot afford to put the future ahead of the present; growth needs energy, mines, roads and factories. This concern is real. Poverty itself destroys the environment when people have no alternative to cutting forests for fuel. But the dichotomy is false. Clean energy is now often cheaper than new coal; restoring land raises farm incomes; clean air reduces health costs. The question is not whether to develop, but how—so that today's growth does not become tomorrow's debt.
Way Forward
Repaying the loan requires: pricing pollution and rewarding conservation (for example, payments for ecosystem services); rapid expansion of renewable energy with grid storage and a just transition for coal-dependent regions; water conservation and groundwater regulation; protecting and restoring forests, wetlands and grasslands with local communities; circular-economy rules for plastics and e-waste; and environmental education that makes every child see herself as a future lender asking for her loan back.
Conclusion
Amrita Devi and the villagers of Khejarli did not use the language of sustainable development, but they understood its essence. They saw trees not as resources to be spent but as a trust to be passed on. If each generation thinks of the earth as a loan from its children, it will measure progress not only by what it builds, but by what it leaves behind. That is how a debt to the future becomes a gift to it.
| Part | What it does | Approx. words |
|---|---|---|
| Introduction | Khejarli 1730 anecdote; inheritance vs loan; thesis of trusteeship | 200 |
| Intergenerational equity | Brundtland definition (1987); voice of future generations | 90 |
| Individual and community | Mission LiFE; sacred groves, Bishnois, Chipko, Forest Rights Act | 170 |
| Nation | Articles 48A, 51A(g), 21; polluter pays; updated NDC targets | 130 |
| World | Stockholm 1972; common but differentiated responsibilities | 100 |
| Counter-view | Development needs vs environment; false dichotomy | 120 |
| Way forward and conclusion | Pricing, renewables, water, restoration, circular economy, education; return to Khejarli | 180 |
Prelims tips
- The Khejarli sacrifice led by Amrita Devi Bishnoi took place in 1730 in present-day Rajasthan.
- The Brundtland Commission report Our Common Future was published in 1987.
- Article 48A (Directive Principle) and Article 51A(g) (Fundamental Duty) were added by the 42nd Amendment, 1976.
- India's updated NDC (2022): 45% cut in emissions intensity of GDP from 2005 levels by 2030; about 50% of installed electric capacity from non-fossil sources by 2030.
- India announced its net-zero target year of 2070 at COP26 in Glasgow (2021).
Mains points
- Reframing the earth from 'inheritance' to 'loan' gives the essay a single moral idea—trusteeship—that every section develops.
- Indian examples (Bishnois, Chipko, sacred groves, Forest Rights Act) show that sustainability is rooted in Indian practice, not imported.
- The development-versus-environment counter-view is answered with economic arguments (cheaper renewables, health savings), not only moral ones.
- Global fairness (CBDR, Stockholm 1972) ensures the essay does not place the whole burden on individuals or poor countries.
Did you know?
- The Government of India's Amrita Devi Bishnoi Wildlife Protection Award is named after the heroine of Khejarli.
- The khejri tree (Prosopis cineraria) is the state tree of Rajasthan.
