The IT services industry is undergoing one of its biggest transformations in decades. For years, companies billed clients based on hours worked and manpower deployed. But with artificial intelligence rapidly changing how work gets done, that model is now being challenged.
Cognizant is among the first major players to take a bold step in this direction. The company is not just using AI to improve efficiency behind the scenes. It is now embedding AI directly into how it prices services and evaluates its workforce.
This shift signals a deeper change in the industry. One where outcomes matter more than effort, and where digital labour stands alongside human expertise.
A New Pricing Model Powered By AI
Cognizant has introduced what it calls AI-infused rate cards. This new structure blends traditional human effort with what the company refers to as “digital labour.” In simple terms, AI is no longer just a tool supporting employees. It is becoming a billable component in client engagements.
Chief Executive Ravi Kumar S explained the concept clearly during a post-earnings interaction. “We now have AI-infused rate cards with human labor and digital labor in different categories, one where AI is verifying what humans do and the other where humans are verifying what AI does, and all the way to autonomous digital labor,” he said.
This approach introduces multiple layers of collaboration between humans and machines. In some cases, AI supports human work. In others, humans oversee AI-driven processes. And in advanced scenarios, AI can operate independently as a form of digital workforce.
Moving From Effort To Outcomes
The shift in pricing reflects a larger strategic change. Cognizant is moving away from the traditional effort-based billing model. Instead of charging clients based on hours or headcount, the focus is now shifting towards outcomes and value delivered.
Ravi Kumar S highlighted this transition with a key question. “How do we transition from selling effort to selling outcomes? How do we transition from bill hours to more fixed price, more managed service, more transaction-based, more outcome-based?”
This marks a fundamental reset in how IT services are positioned. Clients are increasingly demanding efficiency gains driven by automation. They expect vendors to pass on those benefits. As a result, companies like Cognizant are rethinking how they structure deals.
Measuring Employees Through ‘AI Fluency’
Alongside pricing changes, Cognizant is also redefining how it evaluates its workforce. The company has introduced an “AI fluency meter” that assigns a score to each employee.
This score is not based on traditional metrics like hours worked or utilisation rates. Instead, it measures how effectively employees engage with AI.
“We now have something called the AI fluency meter… Every associate in the company has it,” Kumar said. He further explained that the score is calculated using multiple factors, including “the amount of tokens you use, the trainings you’ve done, the certifications you’ve done, the innovation use cases you’ve established on AI.”
This creates a new benchmark for performance. Employees are encouraged to improve their AI skills, adopt new tools, and contribute to innovation-driven projects.
The Rise Of Hybrid Labour
Cognizant’s strategy reflects a broader shift towards hybrid labour. This model combines human expertise with AI-driven capabilities.
According to Kumar, the traditional view of workforce structure is no longer relevant. “You have to look at the capability pyramid as no longer human effort… you have digital labor and human labor, you have agents and humans working together,” he said.
This blended approach is changing how teams are built and managed. It is also influencing hiring strategies, with companies focusing more on AI-ready talent. Existing employees are being trained to adapt to this new environment.
Industry At A Turning Point
Cognizant’s move is not happening in isolation. The entire IT services industry is at an inflection point. Generative AI is compressing traditional revenue models by reducing the need for large teams. At the same time, it is opening up new opportunities in automation, analytics, and intelligent systems.
By embedding AI into both pricing and performance metrics, Cognizant is signalling a clear direction. Future growth will depend less on scaling headcount and more on delivering measurable outcomes powered by technology.
This shift could redefine competition in the industry. Companies that adapt quickly may gain an advantage, while those relying on older models may struggle to keep up.
Conclusion
Cognizant’s introduction of AI-infused rate cards and AI fluency scores marks a significant moment for the IT services sector. It reflects a transition from traditional models to a more technology-driven approach.
As artificial intelligence continues to evolve, the way work is valued, priced, and delivered will also change. For employees, this means adapting to new skill requirements. For companies, it means rethinking long-standing business models.
The message is clear. The future of IT services will not be defined by how much work is done, but by how effectively it is delivered. And in that future, AI will play a central role.
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