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Cognizant launches OpenAI group with 25,000 staff

The IT services firm is scaling its generative AI capabilities by creating a dedicated unit to implement OpenAI technologies for enterprise clients.

25,000employees in the new OpenAI group

The short version

Why it matters

This move signals a massive shift in how large IT service providers structure their workforce to handle generative AI. For businesses, it means more specialized consulting for migrating old systems to modern, AI-integrated architectures.

The OpenAI Frontier Capability Group

Cognizant is significantly expanding its strategic focus on generative artificial intelligence by establishing a new division called the OpenAI Frontier Capability Group. This new unit will house more than 25,000 employees who will focus specifically on the implementation of OpenAI technologies. These tools include the ChatGPT language model and the Codex programming tool.

The primary goal for this new group is to facilitate AI-supported software development for corporate clients. By centralizing these resources, Cognizant aims to provide a streamlined way for companies to integrate advanced machine learning into their core operations. The company intends to use these capabilities to modernize older applications and establish agentic processes, which are systems where AI can perform tasks autonomously.

As reported by ad-hoc-news.de, Cognizant will first scale these OpenAI applications within its own internal workflows. This internal testing phase will specifically target the company's sales and customer success processes. By refining these tools internally first, the firm can ensure stability before rolling them out to its broader external customer base.

Modernizing legacy systems

A major component of Cognizant's strategy involves helping clients move away from outdated technology. The company plans to use its proprietary Application Modernizer tool to update existing software. This effort is backed by the firm's experience working with more than 500 clients in the mainframe sector, which refers to older, large-scale computing systems.

By combining these proprietary tools with OpenAI's capabilities, Cognizant seeks to bridge the gap between legacy infrastructure and modern AI requirements. This approach allows enterprises to keep their core data while benefiting from the efficiency of generative AI. It addresses a common pain point for large corporations that struggle to migrate old data into new environments.

The focus on agentic processes is also a key differentiator in this new group's mission. These processes allow AI to act as agents that can complete multi-step workflows rather than just answering single questions. This shift is intended to provide deeper automation for enterprise customers who need to handle complex, repetitive business logic at scale.

Massive workforce training

To support this new group, Cognizant is launching extensive qualification and certification programs for its global workforce. So far, more than 21,000 employees have already obtained over 40,000 qualifications specifically for OpenAI technologies. The company is aiming for a much larger goal of creating 15,000 Frontier Certified Engineers and Frontier Business Operators.

These initiatives are part of a broader corporate training program that covers multiple AI platforms. Currently, more than 45,000 employees hold nearly 100,000 certifications across various AI systems, with another 65,000 certifications currently in progress. This demonstrates a wide-scale effort to ensure the staff can navigate different types of artificial intelligence.

The company is also diversifying its training to include other major providers like Google Cloud. Through the Build with Gemini program, 55,000 employees have already been trained. Cognizant expects this number to grow to 200,000 by the end of the year, showing a commitment to multi-platform expertise.

U.S. market expansion

Cognizant is not only training its current staff but also planning to grow its headcount to meet the rising demand for AI integration. For the year 2026, the company plans to hire 1,500 graduates from American universities. This recruitment drive is designed to bolster its presence in the United States, where it currently employs approximately 32,000 people.

The expansion in the U.S. market is specifically targeted at meeting the need for system modernization and AI deployment. By hiring fresh graduates, Cognizant hopes to build a pipeline of talent that is familiar with the latest technological trends. This move ensures they have the human capital necessary to manage the complex migrations they are promising to clients.

This growth reflects a broader trend where large IT firms are racing to secure talent in a competitive landscape. By focusing on university graduates, Cognizant can shape the skills of new workers to align with their specific goals in generative AI. This strategy helps them maintain a competitive edge as companies worldwide seek to adopt these new technologies.

Regulatory and legal hurdles

While Cognizant expands its AI capabilities, the company notes that the industry faces increasingly complex regulatory requirements. These rules are becoming a critical consideration for any organization looking to deploy AI at scale. The firm highlights the importance of understanding these legal frameworks to ensure compliant operations.

Specifically, the EU AI Act is mentioned as a key piece of legislation that sets new rules for the region. This regulation introduces various risk classes and documentation requirements that companies must follow. Understanding these obligations is presented as a priority for both legal and IT departments within the corporate world.

As the technology matures, the balance between innovation and regulation will be a defining factor for the industry. Cognizant's focus on both technical training and awareness of these rules suggests a balanced approach to growth. They aim to provide a path for clients to use AI while staying within the boundaries of emerging international laws.

What to watch

Try it

Look up the 'EU AI Act' to see the different risk classes and documentation requirements for AI systems.

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First reported by ad-hoc-news.de · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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