Cognizant to train 15,000 AI specialists as 93% of jobs face disruption

Cognizant is making one of its biggest workforce bets on artificial intelligence, announcing plans to train 15,000 specialised AI professionals as it warns that 93% of jobs are being reshaped by AI.

The IT services company said it will scale its workforce to include 5,000 Frontier Certified Engineers and 10,000 Frontier Business Operators, creating teams designed to help enterprises translate AI investments into measurable business outcomes. The first cohort is expected to be deployment-ready by the fourth quarter of 2026.

The announcement reflects a growing shift across the technology services industry. As enterprises accelerate AI adoption, the focus is moving beyond deploying models to building workforces capable of integrating AI into day-to-day business operations.

Closing AI's $4.5 trillion value gap

According to Cognizant, organisations have invested more heavily in artificial intelligence than in any other technology in recent years. Yet many continue to struggle to generate meaningful returns.

The company estimates the gap between AI's potential and the business value currently being realised stands at $4.5 trillion.

Rather than attributing the shortfall to technology limitations, Cognizant believes the bigger challenge lies elsewhere.

It says enterprises lack:

• Skilled AI talent with industry expertise
• Operational processes designed for AI
• Workforce models capable of scaling AI effectively

The new Frontier workforce is intended to bridge those gaps by combining technical expertise with deep knowledge of specific industries.

New workforce model combines technology and business expertise

The initiative introduces two distinct AI roles.

• 5,000 Frontier Certified Engineers will focus on designing, building and deploying AI systems.
• 10,000 Frontier Business Operators will work alongside clients to integrate AI into business operations and deliver measurable outcomes.

According to the company, these teams will take responsibility for delivering business impact rather than simply implementing technology.

Ravi Kumar, Chief Executive Officer of Cognizant, said the goal is to create teams accountable for client outcomes instead of deploying AI systems and moving on.

Designed to work across multiple AI ecosystems

Cognizant said the Frontier teams will be platform agnostic, enabling organisations to build AI solutions without becoming dependent on a single technology provider.

The workforce will support AI deployments across platforms including:

• Anthropic
• OpenAI
• Microsoft
• Google
• Amazon Web Services
• Nvidia
• Salesforce
• ServiceNow

The approach reflects growing enterprise demand for flexible AI strategies that can evolve as technology advances.

Early client project highlights productivity gains

To demonstrate how the model works in practice, Cognizant shared results from a recent customer engagement.

According to the company, a two-person Frontier team redesigned the account management process for a food services client by creating 17 AI agents.

The outcome included:

• Saving account managers approximately 11 hours every week
• Nearly tripling revenue per client account

The company presented the example as evidence that combining AI technology with specialised workforce expertise can generate measurable business improvements.

Training and graduate hiring to support expansion

To build the new workforce, Cognizant plans to expand its SkillSpring learning programme while continuing to recruit graduates from universities in the United States and international markets.

The company expects the training initiative to develop professionals capable of managing AI systems across industries while understanding the operational context in which they are deployed.

Chief People Officer: AI is reshaping nearly every job

The announcement also signals how significantly AI is expected to alter workforce requirements.

Kathy Diaz, Chief People Officer at Cognizant, said AI is transforming the nature of work across almost every occupation.

She said 93% of jobs have been exposed to change because of AI, but much of the associated labour value remains unrealised since organisations continue to rely on workforce structures designed for the pre-AI era.

Diaz said Cognizant has rebuilt its workforce architecture to reflect today's AI environment, combining enterprise-scale technology expertise with deep industry knowledge to help clients convert frontier AI capabilities into tangible business value.

Workforce strategy becomes the next AI differentiator

The announcement highlights an increasingly important trend across the technology sector.

For much of the AI boom, investment centred on large language models, cloud infrastructure and computing power. Companies are now placing greater emphasis on the people needed to implement, govern and scale those technologies effectively.

By creating specialised AI engineering and business operations roles, Cognizant is positioning workforce capability as a competitive differentiator alongside technology itself.

As enterprises continue searching for returns on their AI investments, demand for professionals who can combine technical expertise with business execution is likely to become an increasingly important part of the AI economy.