Bangalore, India, February 16, 2026 — Anthropic announced the appointment of Irina Ghose as Managing Director of India as the company prepares to open its first office in the country.
Irina Ghose brings more than three decades of experience in scaling technology businesses. She most recently served as Managing Director, Microsoft India, where she led enterprise AI adoption across major Indian industries including banking and financial services, healthcare, manufacturing, and government. She has led high-impact teams, built ecosystem partnerships, and championed future-ready capabilities across India’s technology landscape, with a consistent focus on using technology to drive meaningful business and societal impact.
“India has a real opportunity to shape how AI is built and deployed at scale,” Irina Ghose said. “Indian organizations are moving beyond experimentation toward applied AI, where trust, safety, and long-term impact matter as much as innovation. Anthropic’s mission resonates with my belief that technology should empower people, expand access, and create lasting value across India’s diverse languages and communities.”
“Irina’s expertise in scaling technology businesses and driving enterprise transformation makes her the ideal leader as we expand,” said Chris Ciauri, Managing Director of International, Anthropic. “As we grow our teams and deepen engagement across India’s public and private sectors, Irina will ensure our approach is grounded in local insight and aligned with our mission.”
Anthropic’s India team will work closely with policymakers and academic institutions, strengthen developer engagement, and build partnerships with enterprises and organizations using AI to address local challenges.
India ranks as the second-largest market globally for Claude.ai. Anthropic’s fourth Economic Index showed that Indian users have a striking focus on technical applications, with nearly half of all Claude.ai usage concentrated in computer and mathematical tasks.
Anthropic is an AI research company that builds reliable, interpretable, and steerable AI systems. Its first product is Claude, an AI assistant for tasks at any scale. Its research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
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