--- title: "India Country Brief: Anthropic Economic Index · AI Fault Line" url: https://aifaultline.com/research/p/title-797da37dd58e6a27/ description: "AI Fault Line is a neutral, evidence-cited field guide to why experts looking at the same developments disagree about AI's effect on productivity, jobs, inequality, regulation and the pace of change." --- [Research](https://aifaultline.com/research/) # India Country Brief: Anthropic Economic Index Anthropic (AI lab research) · 16 Feb 2026 [Read original source](https://www.anthropic.com/research/india-brief-economic-index) Open access Not peer reviewed Where this sits in the debate - [How fast will the impact arrive?](https://aifaultline.com/debate/pace/) Direction of the finding as read from the abstract by an AI model ([AI-written](https://aifaultline.com/about/)). ## Source excerpt The findings point to a user base that applies AI more heavily in professional contexts, delegates more autonomy to it, and brings Claude tasks that are substantially more time-consuming to complete without assistance. Higher shares of complex tasks that humans could not complete alone suggest that Indian users are using the technology at the frontier. India ranks second among all countries by share of total Claude.ai use, trailing only the United States. However, on a per-capita basis, adjusting for the working-age population, India ranks 101st out of 116 countries with sufficient observation volume, below other countries in Asia such as Singapore or Malaysia. This gap suggests that India’s high Claude use overall reflects the sheer size of its population, not that the average person is using Claude heavily. This points to significant opportunities to increase adoption. Use is concentrated in a small number of highly economically active states. Maharashtra, Tamil Nadu, Karnataka, and Delhi together account for over half of India’s total Claude.ai use. This pattern closely mirrors India’s IT sector geography and urban economic output. The concentration in these four states—home to Bangalore, Hyderabad, Chennai, Mumbai, and Delhi NCR—suggests that current AI adoption is driven primarily by India’s established technology workforce rather than broad-based consumer uptake. The occupational mix of Indian Claude.ai use, inferred by mapping tasks to related occupations, skews towards software development and engineering roles, consistent with the country’s large IT services sector. The most common O*NET tasks performed by Indian users confirm the software-heavy profile: India ranks 1st globally in the share of AI use devoted to software-related tasks (45.2% of all O*NET-mapped tasks), ahead of Vietnam (42.1%) and Egypt (39.2%). The presence of educational tasks among the most common individual tasks (see Table 1) and when aggregating tasks to occupation groups (see Figure ## About this publication **Lab or institute research, not peer reviewed.** A report or blog post published by an AI lab or research institute on its own site. It has not been through independent peer review, and the publisher may have a stake in the findings. Published 2026 (8 months ago) Citations Not recorded for this source Citation counts come from OpenAlex; none are recorded for this source — absence of a count is not absence of citations. [Chart: published 2026] ## More on this topic Related by theme, not necessarily by method or conclusion. - [The Effects of Generative AI on High Skilled Work: Evidence from Three Field Experiments with Software Developers](https://aifaultline.com/research/p/doi-10-2139-ssrn-4945566/) SSRN · 2024 - [GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models](https://aifaultline.com/research/p/doi-10-48550-arxiv-2303-10130/) arXiv · 2023 - [Experimental evidence on the productivity effects of generative artificial intelligence](https://aifaultline.com/research/p/doi-10-1126-science-adh2586/) Science · 2023 - [The simple macroeconomics of AI](https://aifaultline.com/research/p/doi-10-1093-epolic-eiae042/) Economic Policy · 2024 Overview assembled automatically from collected metadata. [How this site is built](https://aifaultline.com/about/).