AI Now Powers 50% of Internal Job Moves at Tata Consultancy Services

AI Now Powers 50% of Internal Job Moves at Tata Consultancy Services
Image Credit: Instagram @tcs_europe and @tcsglobal

Tata Consultancy Services is changing how it manages its workforce by using artificial intelligence to place employees internally. The company says that almost half of its internal role assignments now happen through an AI-driven talent marketplace. This is a big change from the old way, where managers and HR teams made most of the decisions.

The system looks at employee profiles and project needs, then suggests the best match. Rather than relying solely on human judgment, it uses data to connect people with open roles more quickly. This helps employees get assignments more quickly and makes sure projects have the right skills when needed.

For employees, these internal moves matter. The projects they join can affect their growth, performance reviews, and future chances at the company. With AI involved, the process could become more open and efficient, giving everyone a fair shot at new roles. Still, it raises questions about how much say employees and managers will have in these choices.

For the business, this change has clear benefits. Moving employees into roles faster can boost productivity and help TCS meet client deadlines. With more than 584,000 employees, even small efficiency improvements can make a big difference. The company has also seen a slight increase in headcount and attrition, underscoring that managing such a large workforce is always a challenge.

This change is part of TCS’s broader plan to deploy AI across more areas of its business. Besides staffing, the company already uses similar technology for hiring, training, and employee support. As more clients invest in new technologies, TCS is ensuring its own systems keep pace.

Looking forward, AI could play an even bigger role at work. What is now just a tool for suggestions might soon help make bigger career decisions. For now, TCS has moved toward a more data-driven way of working, which could change how large companies manage talent in the future.