Anthropic’s biggest-ever survey of AI users – 80,508 individuals in 159 nations surveyed by an AI itself last December – has a clear data point about India hidden within: the promise of AI as a platform for entrepreneurs holds sway in Africa, South and Central Asia, the Middle East, and Latin America and the Caribbean. South Asia, which includes Indians making up the vast majority of the around 5,000 people from the region, belongs firmly to that group.
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That’s how Anthropic frames it: here, AI is viewed as a mechanism to sidestep traditional capital – it enables people to build their businesses without having the requisite funding, hiring, or infrastructure they might not otherwise have access to. It’s quite a different story than what you’d hear in Silicon Valley, of “AI makes engineers 10x more productive.” It’s almost like: “AI does the work of your co-founder, your investment round, and your hiring process for you.”
Globally speaking, entrepreneurship was the seventh largest aspiration when it comes to AI, with 8.7% of respondents desiring to construct, launch, and expand enterprises with AI as an amplifier, be it through product innovation to entrepreneurship conducted by oneself but at team capability level. This percentage in South Asia is even higher, part of a general trend whereby more developed and exposed regions desire AI to help them cope with the complexities of life, and less developed regions would like AI to help them increase their opportunities.
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The second India-relevant thread is learning. One could argue that it is the more humanistic one. Learning using AI takes on greater significance in Central and South Asia, at 14% and 13%, respectively, against 8% globally. Users see education as an important means to break out of poverty traps because of scarcity of teachers, gatekeeping of knowledge, and costs involved in traditional education.
Two Indian voices picked up on that line in the report. One was an Indian lawyer who learned how to have a phobia about math because of poor performance at school, and once was afraid of Shakespeare – now studying Hamlet using an AI to translate difficult passages into easy English, and learning trigonometry without feeling “as dumb” as before. The other voice was more direct; an Indian student who said that while the professor taught 60 people and would not entertain too many questions, they could ask any question, even the “dumb” ones, at 2am. From Anthropic’s point of view, this is an affordance repeated throughout the dataset – patience, availability, and lack of judgment – but for students and professionals denied the rare one-on-one interaction, this is not a luxury.
There’s another release worth mentioning in one line. Anthropic also released a “Reflect” function, which is a beta dashboard that lets Claude users see their usage patterns, what they’ve been doing, how much, and suggestions to reflect on whether all that activity is actually helping them reach their objectives. While not India-specific, this is an obvious step to take when dealing with exactly the kind of people who have been revealed by the interview study: those who use AI extensively for entrepreneurship and education will now be able to assess the way it affects their work rather than relying only on anecdotes.
Put together, the two articles imply that Anthropic’s Indian (and South Asian) user base isn’t chasing after productivity illusions. It uses Claude as something it lacks in any other way – money, mentors, teachers – and now Anthropic builds tools to allow its users to evaluate the value of that investment.
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