Infosys Unveils AI-First Framework to Tap $300B AI Services Boom
Infosys Unveils AI-First Framework to Tap $300B AI Services Boom
Infosys rolls out an AI-first value framework with its Topaz suite, aiming to unlock a $300-400B AI services market by 2030, backed by new Anthropic collaboration.
Bengaluru, India, Feb. 17, 2026 — Infosys today unveiled its AI-first value framework to help global enterprises unlock AI value at scale, harnessing the power of its industry-leading generative and agentic AI suite, Infosys Topaz. This move positions Infosys to tap into an incremental AI-first services opportunity of USD 300-400 billion by 2030, according to a Nasscom-McKinsey report.
The company outlined a two-pronged strategy for AI: capture new demand for AI-first services across value pools and augment existing services with AI to expand wallet share. AI Strategy & Engineering: Design and implement AI strategies, platforms, and architectures tailored to business needs. By orchestrating AI agents, proprietary platforms, and third-party tools on purpose-built infrastructure, enterprises can move beyond experimentation to establish an enterprise-wide AI operating model.
Data for AI: Prepare enterprise data, both structured and unstructured, for AI model readiness. By building AI-ready data platforms and applying AI-grade data engineering (including fingerprinting and synthetic data services), organizations can convert raw data into a trusted strategic asset that fuels advanced analytics, predictive intelligence, and more informed, real-time decision-making.
Process AI: Transform core business processes by integrating AI agents and human expertise, with a focus on redesigning end-to-end workflows. It enables domain-aware agents to work alongside humans to drive step-change improvements in efficiency, experience and deliver business outcomes across functions and industries.
Agentic Legacy Modernization: Leverage AI agents to reverse-engineer existing estates, understand their intent and progressively modernize them without disruption. This helps enterprises reduce technical debt while modernizing IT assets.
Infosys also highlighted a strategic partnership with Anthropic to integrate Claude AI models into Topaz, aiming to address investor concerns about AI’s impact on IT services and to unlock new domain applications in sectors like telecom and finance. The collaboration underscores a broader push to translate AI breakthroughs into scalable, enterprise-grade solutions.
Taken together, these moves signal a deepening shift in the IT services landscape toward enterprise AI operating models, with a clear eye on long-term value creation and market expansion.
