Practice APSC Mains answers on AI and great-power competition and Emotional Intelligence in civil services with approach, model answers and value addition,AI great power competition, India AI strategy, IndiaAI Mission, AI geopolitical competition, emotional intelligence civil services, emotional intelligence UPSC ethics
Today’s questions deal with two very different kinds of intelligence.
The first concerns Artificial Intelligence as strategic power. AI is no longer only a productivity tool—it increasingly shapes economic competitiveness, military capabilities, cybersecurity and technological influence.
The second concerns Emotional Intelligence in public administration. A civil servant may possess legal authority and technical knowledge, but difficult situations also demand self-control, empathy and the ability to understand people without compromising fairness.
Together, the questions highlight an interesting Mains theme: capability matters most when it is combined with sound judgement.
Artificial Intelligence and Great-Power Competition: Challenges for India | Mains Answer Writing
GS-III | Science & Technology
Question:
“Artificial Intelligence is emerging as an important component of great-power competition.” What challenges does this create for India?
150 Words | 10 Marks
Approach
Do not write a general answer on the benefits and risks of AI.
The phrase “great-power competition” is central. The answer should show how AI is becoming connected with:
Compute + Semiconductors + Defence + Cyber Power + Talent + Global Rule-Making
Then explain why these areas create strategic vulnerabilities for India.
The conclusion should avoid arguing for technological isolation. India needs domestic capability combined with diversified international partnerships.
Introduction
Artificial Intelligence is increasingly becoming a strategic technology influencing military power, economic competitiveness, cybersecurity and global technological influence.
As competition intensifies among major powers, India faces the challenge of accessing frontier technologies while simultaneously building sufficient domestic capability to preserve strategic autonomy.
Main Body
Dependence on advanced computing: Frontier AI requires enormous computing capacity. India still relies substantially on globally sourced high-end GPUs, creating vulnerability to supply disruptions or export restrictions.
Semiconductor dependence: AI capability is closely tied to advanced chips. Dependence on external semiconductor supply chains can therefore become a strategic constraint.
The Government itself acknowledged this challenge in August 2026, identifying limited domestic capacity in semiconductor manufacturing, computing infrastructure and foundational models as vulnerabilities and linking the IndiaAI and Semiconductor Missions to technological sovereignty.
US–China technology competition: Export controls and restrictions around high-end chips, manufacturing equipment and advanced computing can narrow India’s technology choices.
Defence and security risks: AI-enabled autonomous systems, cyberattacks, deepfakes and information operations may alter the nature of national-security threats.
Economic disruption: Countries and firms adopting AI faster may achieve major productivity advantages. India therefore faces the risk of a widening gap between AI-intensive sectors and traditional parts of the economy.
Global talent competition: AI researchers and specialised engineers are globally mobile. Building technology is difficult without simultaneously retaining skilled human capital.
Governance dilemma: Regulation must address privacy, bias, safety, accountability and liability without suppressing innovation.
India’s Strategic Response
Build sovereign compute capacity: Affordable domestic access to GPUs and cloud infrastructure is necessary for universities, start-ups and researchers.
Strengthen semiconductor capability: IndiaAI and semiconductor policy should increasingly complement one another because AI sovereignty ultimately depends partly on hardware sovereignty.
Develop Indian foundation models: Models trained around Indian languages, datasets and social contexts can reduce dependence on a handful of foreign platforms.
Strengthen AI-enabled defence: Cybersecurity, intelligence analysis and defence preparedness must evolve alongside emerging AI threats.
Invest in talent: Research funding, high-quality universities and stronger industry–academia collaboration are crucial for retaining skilled professionals.
Shape global rules: India can use platforms such as the India AI Impact Summit and multilateral forums to promote governance that reflects the priorities of developing countries. The 2026 Summit emphasised inclusive, responsible and human-centred AI governance.
Value Addition
A simple framework:
Great-Power AI Competition
↓
Chips + Compute + Models + Talent + Defence + Standards
↓
India’s Challenge
Access Technology + Build Domestic Capability + Preserve Strategic Autonomy
A useful phrase:
“Technological self-reliance without technological isolation.”
Model Answer
Artificial Intelligence is becoming an instrument of strategic power because it influences economic productivity, defence, cybersecurity and technological leadership.
For India, the first challenge is technological dependence. Frontier AI requires advanced GPUs, semiconductor fabrication and large computing infrastructure, areas where India remains significantly dependent on global supply chains. US–China technology competition and export controls can therefore restrict access to critical technologies.
AI also creates new security risks through autonomous weapons, cyberattacks, deepfakes and information warfare. Economically, rapid AI adoption may widen productivity gaps between technology-intensive and traditional sectors. India must also compete globally for specialised AI talent while developing governance frameworks addressing privacy, bias and accountability.
India should therefore expand domestic compute and semiconductor capabilities, develop Indian datasets and foundation models, invest in AI talent and strengthen AI-enabled defence.
At the same time, international partnerships and participation in global AI governance remain essential.
Thus, India requires technological self-reliance without technological isolation, combining domestic capability with strategic international cooperation.
Conclusion
The AI race is not simply about who develops the most powerful model.
The deeper competition concerns control over:
Compute → Chips → Talent → Data → Innovation → Standards
India’s strategic task is to build enough capability across this chain to ensure that technological dependence does not become geopolitical dependence.
PYQ Connect
For UPSC/APSC preparation, this theme should be connected with recurring questions on:
Artificial Intelligence + Semiconductor Ecosystem + Cybersecurity + Strategic Technologies + Atmanirbhar Bharat + Technology Governance
Emotional Intelligence in Civil Services: Empathy with Composure | Mains Answer Writing
GS-IV | Ethics
Question:
“Emotional intelligence enables a civil servant to remain empathetic and composed while taking difficult decisions.” Explain with suitable examples.
150 Words | 10 Marks
Approach
This is an application-oriented Ethics question.
Begin with a concise definition of Emotional Intelligence and then show how its components improve administrative behaviour.
A useful structure is:
Self-Awareness → Self-Regulation → Empathy → Conflict Management → Balanced Decision
Examples should involve realistic administrative situations rather than famous personalities alone.
Introduction
Emotional Intelligence is the ability to understand and regulate one’s own emotions while recognising and responding appropriately to the emotions of others.
For civil servants, it helps reconcile two equally important requirements of administration—human sensitivity and objective decision-making.
Main Body
Self-awareness: An administrator must recognise personal frustration, prejudice or emotional reactions before they influence official decisions.
For example, an officer facing aggressive public criticism should distinguish between criticism of the administration and a personal attack before responding.
Self-regulation: Crisis situations generate fear, anger and uncertainty. Emotional control allows the officer to prioritise facts and action.
During a major flood, for instance, a district official must remain calm while coordinating evacuation, relief and communication even when citizens are distressed.
Empathy: Understanding another person’s circumstances helps administration become humane.
An eviction order may be legally necessary, but empathy requires the officer to consider vulnerable families, rehabilitation arrangements and the manner in which enforcement is carried out.
Conflict management: Listening carefully to competing groups can prevent administrative disagreements from escalating into confrontation.
Compassion with objectivity: Emotional Intelligence does not mean abandoning rules.
A civil servant must understand suffering while ensuring that decisions remain consistent with law, fairness and public interest.
Administrative Applications
Disaster management: Calm leadership reduces panic and improves coordination.
Public grievances: Empathetic listening can often resolve anger before it becomes confrontation.
Law enforcement: Firm action can be combined with respect and proportionality.
Welfare administration: EI helps officials recognise the practical difficulties vulnerable citizens face while accessing schemes.
Team leadership: Understanding stress and motivation improves relationships within the administration itself.
Value Addition
A useful framework:
Sensitive Heart + Steady Mind
or:
Empathy without Objectivity → Favouritism
Objectivity without Empathy → Insensitive Administration
Empathy + Self-Regulation + Objectivity → Ethical Administration
Model Answer
Emotional Intelligence is the ability to understand and regulate one’s emotions while recognising the emotions of others. It enables civil servants to combine empathy with objective administration.
Self-awareness helps officers recognise personal biases and prevents impulsive responses to criticism or political pressure. Self-regulation allows them to remain composed during crises; for example, a district officer coordinating flood evacuation must take calm decisions despite public anxiety.
Empathy enables administrators to understand citizens’ circumstances. While implementing an eviction order, an officer may uphold the law while ensuring humane rehabilitation of vulnerable families. EI also improves conflict management, as active listening and dialogue can help resolve disputes between competing groups.
However, empathy must not become favouritism. Civil servants must combine compassion with legality, impartiality and public interest.
Training in EI, stress management, citizen interaction and reflective practices can strengthen administrative capacity.
Thus, a civil servant needs “a sensitive heart and a steady mind”—empathy humanises governance, while emotional control ensures that difficult decisions remain fair and reasoned.
Conclusion
Emotional Intelligence does not make difficult decisions disappear.
It improves how those decisions are understood, communicated and implemented.
The ideal administrative balance is:
Empathy + Composure + Objectivity = Humane and Effective Governance
PYQ Connect
Emotional Intelligence is a recurring UPSC/APSC Ethics theme, particularly through questions involving:
- utility of Emotional Intelligence in administration;
- empathy and compassion towards weaker sections;
- aptitude and foundational values of civil services;
- conflict resolution;
- ethical decision-making under pressure.
For revision, prepare EI through administrative situations and examples, not merely definitions of its components.
Answer-Writing Takeaways from 23 September
Today’s questions appear unrelated, but both concern intelligence and judgement.
Artificial Intelligence gives states greater technological capability, but that capability requires strategy, institutions and responsible governance.
Emotional Intelligence gives administrators greater interpersonal capability, but it must operate alongside law and objectivity.
The two frameworks are:
National Strategy:
AI Capability + Strategic Autonomy + Governance
Public Administration:
Empathy + Self-Control + Objectivity
The common Mains lesson is:
Intelligence is useful only when accompanied by judgement.
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