Infosys Stock Price, News & Analysis

Infosys (INFY) announced that Mitsubishi Heavy Industries (MHI) has invested in HIPUS, an Infosys-led Joint Venture in Japan. MHI acquired a 2% stake from Infosys in HIPUS, which specializes in end-to-end procurement processes and digital platforms for Japanese corporations.

HIPUS, established in 2019 with Infosys holding a majority stake, has been serving MHI as a longstanding customer. The investment aims to explore new business opportunities in the region and enhance procurement operations through advanced analytics and data-driven strategies.

The transaction is expected to close during Q1 FY2026 (ending June 30, 2025), subject to customary closing conditions. This collaboration reinforces Infosys' commitment to the Japanese market and accelerates digital business process transformation for enterprises.

Infosys (NYSE: INFY) has announced an extension of its strategic collaboration with AIB, a major financial services group in Ireland and the UK. This expanded partnership builds on their existing 10-year relationship, with Infosys taking on an enhanced role in AIB's digital transformation initiatives.

The collaboration focuses on application development, maintenance, and support services, leveraging Infosys' expertise in agile practices and AI-powered tooling. The partnership aims to increase AIB's operational efficiency and enhance agile processes to expedite innovation.

The extended collaboration will support AIB's vision to modernize its technology and data capabilities, focusing on delivering optimal customer outcomes while strengthening operational efficiency and resilience. Infosys will utilize its global digital engineering teams to enable AIB's business and technology transformation, positioning the bank competitively in the evolving banking landscape.

Infosys (NYSE: INFY) has launched the Formula E Stats Center in partnership with the ABB FIA Formula E World Championship. The platform, powered by Infosys Topaz, an AI-first offering, aims to enhance fan engagement through advanced data-driven insights and immersive experiences.

The Stats Center features dynamic key stat cards, AI-powered insights, and an AI Companion interface that allows fans to access comprehensive race statistics and team performances across 10 seasons. The platform leverages generative AI technologies to provide interactive access to driver and team statistics, milestones, and narratives through a trending bubble chat format.

Additionally, Infosys has led Formula E's central datalake migration to Google Cloud, establishing a secure architecture for marketing, business intelligence, and sporting operations. The announcement coincides with Season 11's introduction of the GEN3 Evo, which achieves 0-60 mph in 1.82 seconds, making it 30% faster than current Formula 1 cars.

Infosys (NYSE: INFY) has announced a successful collaboration with LKQ Europe, implementing a cloud-based digital Human Capital Management (HCM) platform across 18 countries. The project leverages Infosys Cobalt to streamline HR processes and enhance operational efficiency.

The advanced analytics-enabled platform, part of a five-year collaboration, aims to improve HR operations, reduce costs, and boost productivity. It provides real-time insights into employee engagement, retention, performance management, and workplace planning. The solution ensures regulatory compliance and enhances employee experience through self-service capabilities and streamlined workflows.

The platform will unify LKQ Europe's HR processes across locations, enabling faster delivery and better service for end customers while fostering a more cohesive organizational culture in the automotive aftermarket industry.

Infosys (NYSE: INFY) and HFS Research's new study reveals a significant gap in AI strategy implementation among banking and financial services (BFS) firms. While 66% of BFS enterprises have updated their AI strategy due to generative AI, a striking 88% lack a comprehensive enterprise-wide approach.

The study, sampling 505 global BFS leaders, highlights that only 12% have implemented a global AI strategy, with 34% defining strategies at regional levels. Key findings include: AI budgets expected to increase 25% in 2025, representing 16% of total tech budgets; ROI expectations set at 2 years; and average AI program tenure of 2.6 years.

Top AI initiatives focus on data modernization (58%), gen AI software licensing (53%), and AI model development (40%). Major challenges include data quality, security, and talent shortage, compounded by only 23% of firms having mature AI governance practices. The primary objective for 65% of BFS enterprises is improving bottom-line productivity.

Infosys (NYSE: INFY) has announced an expanded strategic collaboration with Citizens, a major US financial institution, focusing on AI-led transformation. The partnership aims to develop cloud native domain platforms and achieve data center exit through AI, cloud, and automation technologies.

Over the past five years, the collaboration has achieved key milestones including: development of domain centric platforms, establishment of a data lake, development of enterprise APIs, reaching 90% test automation, successful migration of critical workloads to cloud, and rationalization of applications.

The enhanced partnership will leverage Infosys Topaz for AI expertise, fostering FinTech and hyperscaler collaborations to deliver AI-powered customer experiences and enhance operational stability.

Infosys (NYSE: INFY) has released its largest AI effectiveness survey, the 'AI Business Value Radar,' analyzing 3,240 companies across 132 AI business use cases. The research reveals that 19% of AI use cases fully meet business objectives, while 32% partially succeed.

The study highlights that IT, operations, and facilities lead AI implementation at 38%, followed by cybersecurity and software development at 30%. White-collar industries like professional services, life sciences, and high tech show higher AI success rates, while travel, manufacturing, and retail sectors struggle.

Key findings show that effective change management and employee training can boost AI success rates by up to 18 percentage points, though only 16% of companies have implemented such measures. The report recommends five critical steps for AI success, including accelerating agentic AI, adopting a product-centric mindset, and creating an AI governance taskforce.

Infosys (NYSE: INFY) has been named one of the 2025 World's Most Ethical Companies® by Ethisphere for the fifth consecutive year. The company was recognized among 136 honorees across 19 countries and 44 industries, standing as one of only three companies from India to receive this distinction.

The evaluation was conducted using Ethisphere's Ethics Quotient®, a comprehensive assessment covering 240 proof points across multiple areas including: ethics culture, ESG practices, ethics and compliance programs, diversity and equity initiatives, and value chain strength.

The recognition highlights Infosys's continued commitment to maintaining strong ethical governance and responsible business practices. The assessment process serves as a framework to identify and validate leading ethics and compliance practices from organizations worldwide.

Infosys (NYSE: INFY) has launched an open-source Responsible AI Toolkit, part of the Infosys Topaz Responsible AI Suite, aimed at promoting ethical AI adoption. The toolkit, built on the AI3S framework (Scan, Shield, and Steer), provides enterprises with technical guardrails to detect and mitigate various AI-related risks including privacy breaches, security attacks, biased output, and deepfakes.

The toolkit features specialized AI models and shielding algorithms while maintaining model transparency without compromising performance. It is designed to be fully customizable and compatible with various models and agentic AI systems, supporting both cloud and on-premise environments.

This initiative follows Infosys' establishment of its Responsible AI Office and its achievement as one of the first companies to receive the ISO 42001:2023 certification on AI management systems. The company is actively participating in global AI safety initiatives through memberships in organizations like NIST AI Safety Institute Consortium, WEF AIGA, and AI Alliance.