India is rapidly emerging as one of the world’s most active markets for artificial intelligence adoption, driven by its large developer base, growing digital economy, and expanding use of AI across work, education, and personal applications. New insights into how AI is actually being used globally now place India among the leading countries shaping real-world AI interactions.

A new economic usage report analysing interactions with Anthropic’s AI model Claude in November 2025, just ahead of the release of Opus 4.5, introduces a set of new metrics, or “primitives,” designed to capture how people and organisations engage with AI. These measures assess five dimensions critical to AI’s economic impact: user and AI skill levels, task complexity, autonomy, task success, and whether usage is personal, educational, or work-related.

The findings show that India ranks among the top countries globally for Claude.ai usage, alongside the US, Japan, the UK, and South Korea. While global AI adoption remains uneven and closely linked to GDP per capita, India stands out for its strong engagement despite wide income variation, reflecting its deep pool of technical users and students leveraging AI for work and learning.

Across all regions, Claude usage remains concentrated around coding and technical tasks, with the top 10 task categories accounting for nearly a quarter of all conversations. While AI generally succeeds at most assigned tasks, performance declines as task complexity increases, highlighting current limits to long-horizon automation.

The report also reveals that AI is disproportionately used for higher-skill tasks compared with the broader economy. When success rates are factored in, AI exposure varies significantly by occupation, with some roles seeing potential deskilling and others experiencing upskilling as routine tasks are automated.

By combining task success, skill levels, and usage patterns, the report offers a clearer picture of how AI is reshaping productivity, job roles, and inequality. For countries like India with high technical capacity and rising adoption, these dynamics suggest both significant opportunity and the need for targeted workforce adaptation as AI becomes embedded across the economy.