Mumbai: Tata Consultancy Services (TCS) is recalibrating its workforce strategy, combining a return to regular salary hikes with tighter hiring and a stronger push into artificial intelligence (AI). The shift reflects a broader transformation in how India’s largest IT services firm is aligning talent with evolving technology demands.
The company closed FY26 with a workforce of 5,84,519 employees, marking a decline of 23,460 compared to the previous year. Despite the reduction in headcount, TCS has resumed its annual salary increment cycle, with hikes taking effect from April after delays last year.
Workforce declines even as hiring continues
The drop in overall employee numbers signals a move away from traditional volume-driven hiring. However, recruitment has not stopped entirely. Instead, TCS is hiring selectively, focusing on niche and high-demand areas.
The company has identified artificial intelligence, cloud computing, cybersecurity, and digital engineering as key priority segments. This indicates a shift from broad-based hiring to a more targeted, demand-led approach.
Industry analysts say this trend mirrors a larger change across the IT sector, where companies are prioritising specialised skills over sheer workforce expansion.
Salary hikes return, but with differentiation
TCS has restored its standard appraisal cycle, offering salary increments across employee grades. While the company has not disclosed the average hike, it confirmed that top performers are receiving double-digit increases.
This suggests a more performance-driven compensation model, where pay is increasingly linked to individual contribution and skill relevance rather than uniform increments.
The move also highlights a growing emphasis on rewarding high-impact roles, particularly those aligned with emerging technologies.
AI drives internal transformation
Artificial intelligence is playing a central role in TCS’s evolving workforce strategy. The company revealed that over 270,000 employees now possess advanced AI and machine learning skills, underscoring a major investment in internal capability building.
Employees collectively logged 69 million learning hours during the year, reflecting large-scale reskilling initiatives aimed at keeping pace with changing project requirements.
TCS is also leveraging AI internally to optimise workforce deployment. Nearly half of its internal role allocation is now managed through AI-driven systems, which match employees to projects based on skills and demand.
Reduced reliance on external hiring
The growing use of AI in workforce management is reducing the need for external recruitment in certain areas. By redeploying existing employees more efficiently, TCS is able to absorb additional work without significantly increasing headcount.
This marks a shift from the traditional IT services model, where workforce expansion closely tracked revenue growth. Instead, productivity gains through automation and reskilling are becoming key drivers.
Changing workforce dynamics
The combined effect of these changes is a fundamentally different workforce model. Hiring continues, but in a more focused manner. Salary hikes are back on schedule, but vary widely based on performance. And a larger share of work is being redistributed internally.
For employees, this means career progression is increasingly tied to skill development and adaptability. Opportunities are strongest in areas aligned with AI and digital transformation, while traditional roles may see slower growth.
Conclusion
TCS’s latest moves signal a structural shift in how it manages talent in the AI era. With headcount declining, hiring becoming more selective, and compensation turning performance-driven, the company is moving towards a leaner and more agile workforce model.
While growth continues, the link between hiring, pay and expansion is no longer linear. Instead, skills, technology alignment and productivity are emerging as the defining factors shaping the future of work at TCS.
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