As AI adoption expands in India, enterprises are increasingly turning to AI to boost productivity, automate routine work, and enable faster decision-making.
Artificial intelligence is moving beyond experimentation as Indian businesses increasingly explore ways to use the technology in everyday operations. Irina Ghose, Managing Director of Anthropic India, has highlighted speed and efficiency as two areas where AI could have a significant impact as companies integrate the technology into their workflows.
The comments come as Anthropic continues to expand its presence in India, a market that has emerged as an important part of the company’s international strategy. The AI company opened its Bengaluru office in February and has been building partnerships across sectors including enterprise, education, and agriculture.
AI adoption moves towards practical use.
For businesses, the conversation around artificial intelligence is increasingly shifting from whether to adopt AI to where it can deliver measurable value. Tasks involving software development, data processing, research and other repetitive workflows are among the areas where companies are already testing AI tools.
Anthropic has said that nearly half of Claude usage in India involves computer and mathematical tasks, including application development, system modernisation and production software. That usage pattern suggests a workforce using AI not only for basic assistance but also for technically demanding work.
India’s growing role in the AI ecosystem.
India’s large technology workforce and established digital infrastructure have made it an important market for global AI companies. Anthropic has identified India as the second-largest market for Claude.ai and is expanding its local operations and partnerships.
The company has also been developing its enterprise presence in the country, where concerns around data security, compliance and responsible AI adoption remain important considerations for businesses. In August, Anthropic announced that Claude would become available through in-country inference in India via Amazon Bedrock. The arrangement allows requests sent through the India endpoint to be processed on servers within the country, a development aimed particularly at organisations handling sensitive data, including banks, insurers and government agencies.
The growing focus on productivity and efficiency therefore represents only one part of the larger AI transition. As businesses move from pilots to wider deployment, questions around accuracy, security, accountability and human judgement will remain central to how artificial intelligence develops in India’s corporate landscape.
