Infosys shares fall 2% ahead of Q4 earnings; IT major teams up with OpenAI

Infosys shares dipped nearly 2% ahead of its Q4 FY26 earnings announcement. The IT giant also revealed a strategic collaboration with OpenAI to integrate its AI models, including Codex, into Infosys' Topaz platform. This partnership aims to accele...

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Infosys shares are in focus ahead of Q4 FY26 earnings. The company is collaborating with OpenAI to integrate AI tools into its Topaz model.
The shares of Infosys dropped around 2% on Thursday ahead of the company’s much-awaited earnings announcement for the January-March quarter of FY26. Additionally, the company has announced a strategic collaboration with ChatGPT-maker OpenAI to bring its AI tool to its Topaz model.

The shares of the company fell to Rs 1,243.70 apiece on Thursday afternoon. The IT major will likely release its results in the post market hours of Thursday. It is expected to report a relatively soft Q4 performance, with revenue growth moderating sequentially due to seasonality, even as full-year growth will likely remain within guidance. According to an average of seven brokerages, the company is likely to post around 14% year-on-year growth in revenue and about 8% growth in profit for Q4 FY26.

However, investor focus will likely remain more on the FY27 guidance, deal momentum and commentary on discretionary spending amid global macro uncertainty and rising AI-led disruption.


The strategic collaboration with OpenAI will help enterprises transform software development and modernisation with the AI firm’s frontier AI models and products like Codex, Infosys said in an exchange filing released in the post-market hours of Wednesday. Infosys will combine OpenAI’s technology with its purpose-built, composable and open agentic services suite model Topaz Fabric to help customers move from AI experimentation to practical and responsible deployment, the IT services major said.

“The engagement spans high-impact industry and functional opportunities, with an early focus on software engineering, legacy modernization, DevOps automation, e-commerce, and other engineering-led domains. By combining Codex, workflow automation, and prebuilt agents with Infosys’ poly-AI architecture and enterprise governance, the collaboration is designed to help organizations modernize development workflows, improve engineering productivity, accelerate delivery, and reduce time-to-market,” the company said.

Infosys is well positioned to help organisations put Codex to work in real delivery environments, due to its deep industry expertise and global delivery scale across application modernisation, software engineering and enterprise transformation, as stated by the company. It added that the partnership is designed to help customers redesign workflows, strengthen engineering execution, and move from early experimentation to scaled adoption in a practical, responsible way.
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OpenAI’s Chief Revenue Officer Denise Dresser said that Codex is becoming a powerful workspace for managing agents across software development and business workflows. He added that the AI platform is working with leading partners like Infosys to help more organizations move from early usage to repeatable deployment as enterprises move quickly to put Codex to work. “Infosys's deep expertise in large-scale software transformation enables enterprises to deploy Codex across areas like legacy code modernization, code review automation, vulnerability detection, and application development, while extending its impact to the systems and workflows where knowledge work gets done. We will work together to bring Codex to organizations worldwide,” he further said.

Infosys CEO Salal Parekh meanwhile said that generating and agentic AI will redefine how enterprises operate and grow. “Our collaboration with OpenAI establishes an operating model to unlock AI value at scale, uniting technology, talent, and transformation playbooks so clients can move decisively from pilots to performance, creating competitive advantage. Together, we are not just shaping the future of AI adoption but also enabling our clients to lead it with purpose,” he added.

(Disclaimer: Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of The Economic Times)
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