Cognizant believes artificial intelligence is creating the biggest opportunity in the history of the technology services industry. Speaking at the company’s AI Forum 2026, CEO Ravi Kumar argued that AI is expanding the addressable market from roughly $1 trillion in traditional IT services to nearly $6 trillion as enterprises increasingly combine systems, people and digital labor.
According to Cognizant, the industry is moving beyond the first phase of AI adoption, which focused on experimentation and proof of concepts. The next phase will be defined by measurable business outcomes, productivity gains and return on investment. While enterprises have already invested heavily in AI infrastructure, many are struggling to convert technological capability into production value.
The company believes the key to unlocking this value lies in what it calls “context engineering.” Unlike generic AI models, enterprise AI systems require deep understanding of organizational processes, tribal knowledge and business rules. Cognizant sees context engineering becoming as important in the AI era as software engineering was during the digital transformation era.
Agentic AI is another major pillar of the company’s strategy. Cognizant expects organizations to increasingly deploy digital workers alongside human employees. These AI agents will handle tasks across software development, business operations and customer engagement, creating entirely new service opportunities.
The company also highlighted emerging areas such as digital twins, model engineering, AI governance, physical AI and agent development lifecycle management. Cognizant says these capabilities will help enterprises bridge the gap between AI potential and business impact.
For investors, the most important takeaway was the company’s assertion that AI is not merely a productivity tool. Instead, Cognizant views it as a platform shift capable of creating new products, new services and entirely new revenue streams. As AI adoption accelerates, the company believes technology service providers that can combine human expertise with digital labor will be best positioned to capture value.
