Infosys and Anthropic announced a major collaboration on Tuesday to develop and deploy advanced enterprise AI solutions, with a dedicated Anthropic Center of Excellence as the initial flagship initiative.
The partnership targets telecommunications, financial services, manufacturing, and software development—sectors where secure, compliant, and scalable AI adoption remains a complex challenge. The collaboration builds on Infosys Topaz (its enterprise AI platform) and Anthropic’s Claude family of models, integrating Claude Agent SDK to build AI agents capable of handling long, multi-step workflows rather than isolated tasks. The companies emphasized a shared commitment to delivering “transformational value” beyond mere efficiency gains, combining Infosys’ deep industry domain expertise, engineering scale, and client relationships with Anthropic’s frontier AI capabilities.
Salil Parekh, CEO of Infosys, described the partnership as “a strategic leap toward advancing enterprise AI, enabling organizations to unlock value and become more intelligent, resilient and responsible.” He highlighted specific use cases: intelligent risk management and compliance in financial services, AI-driven design and manufacturing in engineering businesses, and modernizing legacy systems through custom AI agents.
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Dario Amodei, co-founder and CEO of Anthropic, underscored the gap between demo-stage AI and production-grade systems in regulated industries, saying: “There’s a big gap between an AI model that works in a demo and one that works in a regulated industry – and if you want to close that gap, you need domain expertise. Infosys has exactly that kind of expertise across important industries: telecom, financial services and manufacturing.”
Agentic AI as the Core Focus
Agentic AI—autonomous systems that plan, reason, and execute complex multi-step tasks—will be the partnership’s primary technical focus. Infosys and Anthropic plan to build custom agents for industry-specific operations, including:
- Telecommunications: modernizing network operations, streamlining customer lifecycle management, and improving service delivery in a highly regulated environment.
- Financial services: intelligent risk management, compliance automation, fraud detection, and personalized advisory.
- Manufacturing and engineering: AI-driven design optimization, predictive maintenance, supply chain orchestration, and quality control.
The partners will also assist clients in modernizing legacy systems by combining Infosys Topaz and Claude to accelerate migration, reduce costs, and minimize disruption.
The announcement follows Anthropic’s recent commitment to expand investment in India to fuel AI growth across the country. Infosys, with its massive global delivery footprint and deep relationships in regulated sectors, is an ideal partner to bridge frontier AI models with enterprise-scale deployment challenges.
The partnership arrives amid growing enterprise interest in agentic AI for productivity. Salesforce CEO Marc Benioff recently highlighted how AI agents enabled the company to re-engage over 100 million historical leads that had gone uncontacted for 26 years due to human bandwidth constraints. OpenAI CEO Sam Altman, speaking at the Cisco AI Summit, warned that companies not rapidly adopting AI workers “will be at a huge disadvantage.”
Infosys and Anthropic positioned their collaboration as a response to these trends, emphasizing responsible deployment in regulated environments where precision, compliance, and auditability are non-negotiable.
Job Cuts and AI-Driven Restructuring
The partnership comes just weeks after Telstra outsourced jobs to Infosys in India while simultaneously making AI-related job cuts. Infosys and Anthropic first embarked on a joint venture in Australia in August 2025, providing a foundation for the broader global collaboration.
The announcement also coincides with a period of significant workforce restructuring across the tech industry. Thousands of jobs have been eliminated in 2026 as companies refocus on AI to improve cost positions and productivity. Salesforce, for example, has openly credited AI agents for enabling greater output with fewer people.
The partnership strengthens Infosys’ position as a leading AI services provider, leveraging Anthropic’s frontier models to differentiate from competitors like Accenture, TCS, and IBM Consulting. For Anthropic, Infosys is expected to provide a massive enterprise channel and domain expertise that can accelerate production-grade deployment in regulated industries—areas where pure-play AI labs often struggle.
The collaboration also highlights India’s growing role as a global AI hub. With its vast engineering talent pool, cost advantages, and government support (e.g., IndiaAI Mission), India is emerging as a critical deployment and services layer for frontier AI models developed in the U.S. As enterprises increasingly seek AI agents for complex, long-running tasks, partnerships like Infosys-Anthropic could become a blueprint for bridging the gap between cutting-edge research and regulated-industry deployment.
The Center of Excellence will likely serve as a proof-of-concept hub, with learnings expected to inform broader industry adoption in 2026 and beyond.
However, the partnership points to a maturing AI ecosystem, where frontier model providers increasingly recognize that real-world value creation requires deep industry expertise and large-scale engineering delivery—capabilities that established IT services giants like Infosys possess in abundance. This collaboration is expected to accelerate safe, compliant AI adoption while addressing concerns over job displacement through a focus on augmentation and transformation rather than pure automation.