"India ranks second in AI usage but 101st in per-capita AI adoption"
Generative AI
AI systems that produce text, code, or other content in response to user prompts
Per-capita adoption
usage of a technology divided by the relevant population, removing the size effect
India has one of the world's largest technology workforces. The IT and IT-enabled services sector has been a major driver of economic growth for three decades. The government has backed this with policy initiatives aimed at expanding digital infrastructure, including the BharatNet broadband programme and the Digital India mission. More recently, the IndiaAI Mission, approved with a significant budget outlay, signals the government's intent to build domestic AI capacity — from compute infrastructure to foundational model development.
Despite this, India's digital economy remains deeply uneven. Urban-rural divides in internet access, wide income disparities, and a technology workforce concentrated in a few major cities mean that the benefits of digital tools have not spread uniformly. Per capita income in India stands at approximately $2,702, compared to around $90,000 in the United States. This income gap is a structural constraint on technology adoption, because most advanced AI tools are priced for higher-income markets.
Generative AI tools like large language models (LLMs) are increasingly used for professional tasks — writing code, drafting documents, analysing data, and automating repetitive work. Their adoption is shaped by three factors: income (ability to pay for subscriptions or access), digital infrastructure (reliable internet and devices), and awareness (knowing the tool exists and how to use it productively).
India's situation illustrates a structural paradox in technology adoption. A country can be a large aggregate market simply because of population size, while still having very low per-capita penetration. This is the same dynamic seen in mobile internet adoption in the early 2010s — India had hundreds of millions of users but very low average revenue per user. …
Consider the following statements:
1.The value of Indo-Sri Lanka trade has consistently increased in the last decade.
2.'Textile and textile articles' constitute an important item of trade between India and Bangladesh.
3.In the last five years, Nepal has been the largest trading partner of India in South Asia.
Which of the statements given above is/are correct?
If a commodity is provided free to the public by the Government, then
With reference to AI adoption in India, consider the following statements:
1.India ranks second globally in total Claude AI usage by volume.
2.India ranks among the top 20 countries in per-capita Claude usage among the working-age population.
3.Over 45% of AI tasks performed by Indian users map to software-related occupations.
Which of the statements given above is/are correct?
Which of the following best explains why India's high aggregate AI usage does not translate into high per-capita AI adoption?
Assertion (A): Indian professionals who use AI tools delegate more decision-making autonomy to AI than the global average.
Reason (R): India's large IT workforce has higher digital literacy than most other countries, enabling greater trust in AI systems.
Which one of the following is correct?
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