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Infosys Unveils AI First Value Framework: Uniquely Positioned to Capture New AI Services Opportunity of Over $300 Billion

MWN-AI** Summary

Infosys, a global leader in digital services and consulting, recently launched its AI First Value Framework, signaling a strategic pivot to capitalize on the burgeoning artificial intelligence (AI) market, which is projected to generate an additional USD 300-400 billion in services by 2030. This initiative leverages Infosys Topaz™, its suite of generative and agentic AI capabilities, and aims to help enterprises harness AI at scale effectively.

The framework comprises a dual strategy. Firstly, it seeks to tap into new markets for AI-first services across six designated value pools. Secondly, it aims to enhance existing services with AI, thereby increasing client engagement. Key components of the strategy include tailored AI strategy development, data preparation for AI readiness, and transformation of business processes by integrating AI agents alongside human expertise. The focus is on creating unified AI operating models to boost operational efficiency and outcomes.

Additionally, Infosys is emphasizing "Agentic Legacy Modernization," which utilizes AI agents to modernize existing systems seamlessly while minimizing disruption. The initiative also extends to designing intelligent products that integrate AI for real-time data interpretation and action, embodied in the concept of Physical AI.

The initiative underscores a growing trend where IT service providers will be instrumental in the AI evolution, despite the automation capabilities of AI itself. With collaborations established with 90% of its top clients and over 4,600 ongoing AI projects, Infosys is recognized as a preferred partner for enterprises seeking to unlock the value of AI.

Co-founder Nandan Nilekani and CEO Salil Parekh highlighted the unique positioning of Infosys in the AI landscape, underscoring the company's commitment to guiding clients through this technological transition effectively. This strategic focus reaffirms Infosys's role in shaping the future of AI in enterprise operations.

MWN-AI** Analysis

Infosys recently introduced its AI First Value Framework, aiming to capitalize on a projected $300-$400 billion opportunity in AI services by 2030. This strategy highlights a robust potential for growth within the IT services landscape, setting the company apart as it embraces innovative technologies like generative and agentic AI through its Infosys Topaz™ suite.

Investors should note that Infosys is employing a dual strategy: capturing new demand for AI-first services while enhancing existing offerings with AI capabilities. This comprehensive approach allows for agility in responding to market needs while deepening client relationships. With over 4,600 AI projects underway and strategic collaborations with 90% of its top clients, Infosys is well-positioned to drive substantial revenue growth.

Moreover, the firm's focus on "Process AI" and "Agentic Legacy Modernization" suggests a keen understanding of how to integrate AI into core business processes, transforming workflows and increasing efficiency. By fostering AI systems that prioritize safety, ethics, and governance, Infosys addresses critical client concerns about AI reliability—a factor that could enhance customer loyalty and procurement cycles.

While the overall market for IT services remains competitive, Infosys' proactive stance on AI and its investment in developing intelligent, data-driven solutions could yield a competitive edge. However, investors should remain cautious, given the inherent risks associated with rapid technological shifts, regulatory changes, and market volatility.

In summary, Infosys presents a promising investment opportunity for those looking to engage with a company at the forefront of AI innovation in IT services. The firm's comprehensive framework aims not only to seize emerging opportunities but also to deliver long-term value to its clients, thereby reinforcing its market position and sustaining shareholder value. Investors are encouraged to monitor Infosys's execution of its strategies closely, as successful implementation will be crucial to realizing projected growth.

**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.

Source: Canada Newswire

Canada NewsWire

BENGALURU, India, Feb. 17, 2026 /CNW/ -- Infosys (NSE: INFY) (BSE: INFY) (NYSE: INFY), a global leader in next generation digital services and consulting, 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 opens a new frontier in IT services and will enable the company to tap into an incremental AI first services opportunity of USD 300-400 billion by 2030, according to a recent Nasscom - McKinsey Report.

Infosys has a two-pronged strategy for AI: Capture new demand for AI first services across six value pools and augment existing services with AI to expand wallet share.

  1. 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 a unified, enterprise-wide AI operating model.
  2. 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 finger printing 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.
  3. 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.
  4. 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 gaining the agility to respond to changing business demands.
  5. Physical AI: Design intelligent products and embed AI into physical devices so they can capture sensor data, interpret signals, and take real-time action. By combining digital twins, robotics, autonomous systems, and edge intelligence, organizations can reimagine products, operations, and experiences where digital and physical converge.
  6. AI Trust: Ensure AI systems and agents embrace responsible, secure, and ethical AI practices across their entire lifecycle. From embedding risk assessments and policy design to security testing and governance enterprises can scale AI with confidence while meeting regulatory, ethical, and risk expectations.

Infosys is leveraging its purpose-built, composable and open agentic services suite Infosys Topaz Fabric™ and its collaboration with AI disruptors to deliver both AI augmented and AI First Services to clients. 

Infosys is collaborating with 90 percent of its top 200 clients on their AI journeys and has more than 4600 AI projects underway. It has developed over 30 new service offerings across the six value pools. Clients see Infosys as their preferred partner to unlock AI value and deliver business outcomes on revenue growth, cost optimization, and innovation.

To learn more about our strategic AI-first collaboration with GE Vernova, watch this video.

Nandan Nilekani, Co-founder and Chairman, Infosys, said, "IT services companies will play an even more critical role in the AI era. While AI agents can automate tasks and enhance productivity, enterprises still require deep systems integration, governance, trust frameworks, and large-scale transformation capabilities to fundamentally re-engineer their businesses. As an AI-first company with over four decades of experience in guiding clients through technology shifts, Infosys is uniquely positioned to orchestrate AI across complex ecosystems and unlock significant value from the expanding global AI services opportunity."

Salil Parekh, CEO and MD, Infosys, said, "We see AI as a powerful enabler for the services industry and our AI First value framework uniquely positions Infosys to capture market share across these six value pools. Our clients trust us as their preferred partner for AI transformation - from strategy through execution as we help them unlock AI value at scale." 

About Infosys

Infosys is a global leader in next-generation digital services and consulting. Over 330,000 of our people work to amplify human potential and create the next opportunity for people, businesses, and communities. We enable clients in 63 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

Visit www.infosys.com to see how Infosys (NSE, BSE, NYSE: INFY) can help your enterprise navigate your next.

Safe Harbor

Certain statements in this release concerning our future growth prospects, or our future financial or operating performance, are forward-looking statements intended to qualify for the 'safe harbor' under the Private Securities Litigation Reform Act of 1995, which involve a number of risks and uncertainties that could cause actual results or outcomes to differ materially from those in such forward-looking statements. The risks and uncertainties relating to these statements include, but are not limited to, risks and uncertainties regarding the execution of our business strategy, increased competition for talent, our ability to attract and retain personnel, increase in wages, investments to reskill our employees, our ability to effectively implement a hybrid work model, economic uncertainties and geo-political situations, technological disruptions and innovations such as artificial intelligence ("AI"), generative AI, the complex and evolving regulatory landscape including immigration regulation changes, our ESG vision, our capital allocation policy and expectations concerning our market position, future operations, margins, profitability, liquidity, capital resources, our corporate actions including acquisitions, and cybersecurity matters. Important factors that may cause actual results or outcomes to differ from those implied by the forward-looking statements are discussed in more detail in our US Securities and Exchange Commission filings including our Annual Report on Form 20-F for the fiscal year ended March 31, 2025. These filings are available at www.sec.gov. Infosys may, from time to time, make additional written and oral forward-looking statements, including statements contained in the Company's filings with the Securities and Exchange Commission and our reports to shareholders. The Company does not undertake to update any forward-looking statements that may be made from time to time by or on behalf of the Company unless it is required by law.

Logo: https://mma.prnewswire.com/media/633365/5460444/Infosys_Logo.jpg 

 

SOURCE Infosys

View original content: http://www.newswire.ca/en/releases/archive/February2026/17/c4799.html

FAQ**

How does Infosys Limited American Depositary Shares INFY plan to leverage its AI First Value Framework to differentiate itself from competitors in the growing AI services market?

Infosys Limited plans to leverage its AI First Value Framework by integrating AI-driven solutions into its service offerings, enhancing operational efficiency, and delivering customized insights, thus differentiating itself from competitors in the expanding AI services market.

What specific metrics will Infosys Limited American Depositary Shares INFY use to measure the success of its AI initiatives across the six value pools mentioned in the framework?

Infosys Limited will measure the success of its AI initiatives across the six value pools using metrics such as ROI, operational efficiency improvements, customer satisfaction scores, time-to-market for new solutions, increased revenue per client, and employee productivity enhancements.

How does Infosys Limited American Depositary Shares INFY intend to address the potential challenges in managing AI trust and governance within complex enterprises during implementation?

Infosys Limited's American Depositary Shares (INFY) plans to tackle AI trust and governance challenges in complex enterprises by leveraging robust frameworks, enhancing transparency, and implementing best practices to ensure ethical AI usage and compliance during implementation.

In what ways does Infosys Limited American Depositary Shares INFY foresee its partnership with top clients enhancing the effectiveness of its AI First strategy and driving incremental revenue growth?

Infosys Limited envisions its partnerships with top clients enhancing its AI First strategy by co-innovating tailored AI solutions, improving operational efficiencies, and fostering a data-driven culture, ultimately driving incremental revenue growth through expanded service offerings.

**MWN-AI FAQ is based on asking OpenAI questions about Infosys Limited American Depositary Shares (NYSE: INFY).

Infosys Limited American Depositary Shares

NASDAQ: INFY

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