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17 Jan 2026·Source: The Indian Express
3 min
Science & TechnologyEconomyNEWS

PM Modi Calls for Indigenous AI Development on Indian Servers

PM Modi urges Indian talent to develop AI on indigenous servers.

PM Modi Calls for Indigenous AI Development on Indian Servers

Photo by Igor Omilaev

Prime Minister Narendra Modi has called upon Indian talent to focus on developing Artificial Intelligence (AI) on indigenous servers. This initiative aims to boost India's technological self-reliance and data security.

The PM emphasized the importance of creating AI solutions that are tailored to India's specific needs and challenges, leveraging the country's vast talent pool in the technology sector. The push for indigenous AI development aligns with the government's broader vision of making India a global AI hub.

UPSC Exam Angles

1.

GS Paper III: Science and Technology - Developments and their applications and effects in everyday life

2.

GS Paper II: Government policies and interventions for development in various sectors and issues arising out of their design and implementation

3.

Potential questions on India's AI strategy, ethical considerations, and impact on economy and society

Visual Insights

Key Metrics for India's AI Development

Dashboard highlighting key statistics related to AI development in India, emphasizing the push for indigenous AI solutions.

AI Investment as % of GDP
0.75%+0.15%

Reflects government and private sector commitment to AI research and development. Higher investment is crucial for technological self-reliance.

AI Talent Pool (Professionals)
650,000+80,000

Indicates the availability of skilled workforce for AI development. A larger talent pool supports innovation and competitiveness.

Data Localization Rate (Government Data)
85%+15%

Measures the percentage of government data stored on Indian servers. Higher localization enhances data security and sovereignty.

More Information

Background

The pursuit of Artificial Intelligence (AI) has roots stretching back to the mid-20th century. The Dartmouth Workshop in 1956 is widely considered the birthplace of AI as a field. Early AI research focused on symbolic reasoning and problem-solving, exemplified by programs like the General Problem Solver.

The development of expert systems in the 1970s and 80s marked a significant phase, attempting to codify human knowledge into rule-based systems. However, these systems often lacked the adaptability and robustness of human intelligence. The resurgence of AI in the 21st century is largely attributed to advancements in machine learning, particularly deep learning, fueled by the availability of vast datasets and increased computing power.

This has led to breakthroughs in areas like image recognition, natural language processing, and robotics, transforming industries and sparking renewed interest in the potential and implications of AI.

Latest Developments

Recent years have witnessed a surge in AI applications across various sectors, from healthcare and finance to transportation and entertainment. The development of large language models (LLMs) like GPT-3 and LaMDA has significantly advanced natural language processing capabilities, enabling more sophisticated chatbots, content generation, and machine translation. Ethical concerns surrounding AI, including bias, privacy, and job displacement, have also gained prominence, leading to calls for responsible AI development and regulation.

Governments worldwide are formulating national AI strategies to promote innovation, address societal challenges, and ensure competitiveness in the global AI landscape. The focus is shifting towards explainable AI (XAI) and federated learning to enhance transparency and data privacy. The future of AI is expected to involve greater integration with edge computing, quantum computing, and other emerging technologies, further expanding its capabilities and applications.

Practice Questions (MCQs)

1. Consider the following statements regarding the evolution of Artificial Intelligence (AI): 1. The Dartmouth Workshop in 1956 is widely considered the birthplace of AI as a field. 2. Expert systems, developed in the 1970s, demonstrated adaptability and robustness comparable to human intelligence. 3. The resurgence of AI in the 21st century is primarily due to advancements in quantum computing. Which of the statements given above is/are correct?

  • A.1 only
  • B.2 only
  • C.1 and 3 only
  • D.1, 2 and 3
Show Answer

Answer: A

Statement 1 is correct. The Dartmouth Workshop is considered the birthplace of AI. Statement 2 is incorrect as expert systems lacked adaptability. Statement 3 is incorrect as the resurgence is due to advancements in machine learning, not quantum computing.

2. In the context of indigenous AI development, which of the following is the MOST likely benefit of using Indian servers?

  • A.Reduced computational costs due to lower electricity prices.
  • B.Enhanced data security and sovereignty.
  • C.Faster processing speeds due to advanced hardware.
  • D.Increased access to international AI talent.
Show Answer

Answer: B

Using Indian servers enhances data security and sovereignty as data remains within the country's jurisdiction. While other options might have some relevance, data security is the most direct and significant benefit.

3. Which of the following statements BEST describes the concept of 'Explainable AI' (XAI)?

  • A.AI systems designed to mimic human emotions.
  • B.AI systems whose decisions can be easily understood by humans.
  • C.AI systems that are exclusively developed using open-source software.
  • D.AI systems that are primarily used for educational purposes.
Show Answer

Answer: B

Explainable AI (XAI) refers to AI systems whose decisions are transparent and understandable to humans. This is crucial for building trust and accountability in AI applications.

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