APSC Answer Writing (Daily) based on Assam Tribune – 04/07/2026

For APSC CCE and other Assam Competitive examinations aspirants, practicing Daily Answer Writing is vital. This blog covers the most important Main question and its model Answer from the Assam Tribune today (04-07-2026).

📘 GS Mains Model Question (APSC CCE)

Q. “Artificial Intelligence has become a strategic asset in the 21st century. In this context, discuss why AI self-reliance is essential for India. Examine the challenges in achieving technological sovereignty and suggest measures to build a robust indigenous AI ecosystem.” (15 Marks)

Model Answer

Introduction (2–3 lines)

Artificial Intelligence (AI) is transforming economies, governance, defence and global geopolitics. As AI increasingly influences national competitiveness, AI self-reliance has become critical for India’s technological sovereignty, economic resilience and national security under the vision of Atmanirbhar Bharat.

Body

1. Why AI Self-Reliance is Essential for India

A. National Security

AI powers defence systems, cybersecurity, surveillance and intelligence.
Indigenous AI reduces dependence on foreign technologies during geopolitical crises.

B. Data Sovereignty

Protects sensitive Indian data (health, finance, defence, governance).
Prevents excessive reliance on foreign AI platforms and cloud infrastructure.

C. Economic Competitiveness

AI is expected to become a major driver of global productivity.
Supports innovation, startups and high-value manufacturing.
Generates employment in AI, robotics and semiconductor sectors.

D. Inclusive Governance

AI can improve public service delivery in healthcare, agriculture, education and disaster management.
Enhances efficiency through Digital Public Infrastructure.

E. Strategic Autonomy

Indigenous AI models enable India to shape global AI standards rather than remain only a technology consumer.

2. Challenges

Heavy dependence on imported GPUs and advanced semiconductor technologies.
Limited indigenous foundation models and high-performance computing infrastructure.
Inadequate investment in AI research and innovation.
Shortage of highly skilled AI researchers and chip designers.
Ethical concerns relating to privacy, bias, transparency and accountability.
Fragmented and limited access to high-quality datasets.

3. Government Initiatives

IndiaAI Mission (₹10,300 crore) for AI compute, datasets, innovation and skilling.
India Semiconductor Mission to develop domestic chip manufacturing.
Digital India Mission for digital infrastructure and governance.
National Supercomputing Mission to strengthen high-performance computing.
Bhashini Initiative for AI-enabled multilingual digital services.

4. Way Forward

Develop indigenous Foundation Models trained on Indian multilingual datasets.
Expand domestic GPU clusters and sovereign AI cloud infrastructure.
Strengthen semiconductor manufacturing under the India Semiconductor Mission.
Increase public investment in AI R&D through universities, IITs and startups.
Promote industry–academia collaboration and AI skill development.
Establish a robust ethical AI governance framework balancing innovation with privacy and accountability.

Conclusion (2–3 lines)

AI self-reliance is not about technological isolation but about building resilient domestic capabilities while engaging in global collaboration. By strengthening research, computing infrastructure, semiconductor manufacturing and responsible AI governance, India can emerge as a trusted global AI leader and secure long-term strategic and economic advantages.

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