TCS salary hike has resumed at Tata Consultancy Services in April 2026 in India, even as the company reduces headcount. According to India Today, Tata Consultancy Services (TCS) has normalized salary hikes while its workforce shrinks, reflecting how India’s largest IT services firm is reshaping hiring strategies amid the AI boom, published on April 16, 2026. The company has reinstated its standard appraisal cycle after delays in the previous year.
At the same time, salary hike is being rolled out across different employee grades. Top performers are expected to receive higher increments compared to others. This approach shows a stronger focus on performance-based compensation.
What changed in TCS salary hike
TCS salary hike has returned to its regular annual cycle after delays in the previous year. The company rolled out increments across employee grades. Top performers are set to receive double-digit increases, although the company has not disclosed an average figure.
At the same time, salary hike reflects a shift toward performance-based pay. Compensation now varies more across roles and skill levels. This change aligns with evolving business priorities.
How TCS is reshaping hiring with AI
TCS salary hike trends connect closely with how TCS is reshaping hiring with AI. The company is focusing recruitment on areas such as artificial intelligence, cloud computing, cybersecurity, and digital engineering. As a result, hiring continues but targets specific skills.
Meanwhile, TCS is building internal capabilities. Over 270,000 employees now hold advanced skills in AI and machine learning. This shift reduces the need for large-scale external hiring.
Impact on workforce and hiring trends
TCS salary hike comes as the company’s workforce declined to 5,84,519 employees by the end of FY26. This marks a reduction of 23,460 employees compared to the previous year. The data shows that workforce size and hiring no longer move together.
At the same time, employees completed 69 million learning hours. The company expanded reskilling programs to match project demands. Nearly half of role allocation now uses AI systems that match employees to projects.
