Anthropic, the AI safety-focused company behind Claude, is making a major strategic pivot toward India, hiring senior executives and building local infrastructure even as it faces mounting pressure from the US government and competition from cheaper Chinese AI models. On August 13, the company announced Rajat Pandit as Head of Applied AI for India, marking the third senior India hire in seven months. This expansion signals that Anthropic sees India as critical to its future, particularly as it navigates geopolitical tensions and seeks to move beyond small-scale experimentation with enterprise customers.

What's Driving Anthropic's India Expansion?

Anthropic's move to India reflects a convergence of practical and regulatory factors. The company, valued at $965 billion, opened its Bengaluru office as its second hub in Asia after Tokyo, and India already accounts for 5.8% of its customer base as of 2025. But the expansion goes beyond simply chasing market share. Building AI infrastructure in the United States has become increasingly difficult and expensive. This year alone, more than $100 billion worth of data center projects in the US were delayed or cancelled due to local opposition over electricity costs, water shortages, and noise concerns.

India, by contrast, is actively courting AI infrastructure investment. The country's Budget 2026 introduced a tax holiday until 2047 for foreign cloud companies on income from cloud services delivered through Indian data centers. Additionally, India and the US signed a trade deal earlier this year that eased access to advanced semiconductor chips and AI chips, though import duties on data-center equipment were not uniformly lowered. These incentives, combined with lower operational costs, make India an attractive alternative to the US.

The infrastructure buildout is already underway. On August 13, Larsen & Toubro announced it had won a contract worth 10,000 to 15,000 crore rupees to build India's largest single-cluster AI infrastructure facility in Chennai, powered by 10,000 NVIDIA B300 GPUs with a 250 megawatt first phase. Microsoft opened its largest Indian data center in Hyderabad this month, and Mumbai now ranks among the world's top 15 cities by live data-center capacity.

How Is Anthropic Serving Indian Customers?

Currently, Anthropic provides its AI model services to Indian customers through in-country inference on Amazon Bedrock in AWS's India region, using rented cloud capacity rather than data centers Anthropic owns. This approach allows the company to serve customers while navigating India's data residency requirements. India's Digital Personal Data Protection (DPDP) Act allows cross-border transfers of personal data subject to government restrictions, but sectoral rules are stricter. The Reserve Bank of India (RBI) requires payment-system data to be stored only in India, and banking and Know Your Customer (KYC) material carries specific local-storage requirements.

With local infrastructure in place, Anthropic is better positioned to serve Indian banks, hospitals, and government offices, though sectoral rules still constrain how their data moves. The company's India Managing Director, Irina Ghose, was announced in January, followed by Amlan Mohanty, head of policy and external affairs, in April. These hires underscore Anthropic's commitment to navigating India's regulatory landscape and moving enterprises from small-scale testing to full production use.

What Challenges Is Anthropic Facing?

Anthropic's India expansion comes at a precarious moment. In February 2026, the Trump administration blacklisted Anthropic, ordering all federal agencies to stop using Claude and declaring the company a "supply chain risk to national security" with a six-month phase-out for the Department of Defense. The decision stemmed from disagreements over whether Claude could be used for surveillance or weapons systems. Anthropic is contesting the designation in court.

The situation deteriorated in June when the US government issued an export-control directive suspending access to Anthropic's two most powerful reasoning models, Fable 5 and Mythos 5, for all foreign nationals. Anthropic said it was not given specific details of the national-security concern but believes the directive stems from a narrow jailbreak technique involving asking the model to read a specific codebase and identify software flaws. Unable to enforce the restriction selectively, Anthropic shut both models down for everyone, everywhere, for almost three weeks.

During that shutdown, some companies and developers shifted to cheaper Chinese AI models. AI startup Lindy moved 100% of its Claude traffic to DeepSeek, and Chinese open-source models took the top four spots on the OpenRouter platform. Unlike the closed, proprietary frontier models of Anthropic and OpenAI, Chinese companies like DeepSeek offer access to their open-source models at a fraction of the cost. The AI industry has not yet settled on a base price for the intelligence offered by these powerful models, and this pricing gap represents a significant threat to Anthropic's business.

Steps Anthropic Is Taking to Strengthen Its Position

• Regional Hiring: Recruiting senior executives with deep knowledge of local markets, including Rajat Pandit as Head of Applied AI, to drive enterprise adoption beyond experimentation.
• Local Infrastructure Development: Partnering with cloud providers like AWS to offer in-country inference, enabling compliance with data residency rules while serving regulated industries.
• Regulatory Navigation: Building dedicated policy and external affairs teams to manage sectoral requirements in banking, healthcare, and government sectors.

The company is also gearing up for a public debut on the Nasdaq or NYSE sometime this year, which makes the India expansion particularly strategic. A strong foothold in a major emerging market could bolster its valuation and diversify revenue away from the increasingly hostile US regulatory environment.

What Does This Mean for the Broader AI Industry?

Anthropic's India push is part of a broader pattern of governments tightening control over data and AI systems. China has strict rules requiring most data to stay inside the country. The European Union's AI Act, which came into full effect in August 2026, regulates risk classification, transparency, governance, and conformity for AI systems, though it does not require companies to process European data within Europe. These regulatory frameworks are reshaping where and how AI companies operate.

For Anthropic, India represents both a refuge from US restrictions and a growth opportunity. The company faces stiff challenges from the need for more compute power for its frontier models and cheaply priced open-source Chinese reasoning models. By establishing a strong presence in India, Anthropic can serve a large, growing market while building resilience against geopolitical headwinds. However, the expansion is not without friction. Residents in Thane have opposed an Amazon data center over heat, noise, and power concerns, and protesters in Visakhapatnam have questioned who benefits from the buildout.

Anthropic's India strategy reflects a fundamental shift in how frontier AI companies operate. Rather than relying solely on US-based infrastructure and markets, companies are now building distributed, region-specific operations to navigate regulatory complexity, reduce costs, and access new customer bases. For Anthropic, success in India could determine whether it can maintain its position as a leading AI company in an increasingly fragmented global landscape.