"This hike is a slap in the face," he wrote, echoing sentiments from peers who shared similar stories of underappreciation.
Tata Consultancy Services on Sunday said that it will reduce its workforce by 2% or around 12,000 jobs from its global workforce.(Bloomberg) TCS layoffs: India’s largest software services provider ...
TCS gives out variable pay! Over 70% employees to get 100% variable; no decision yet on salary hikes
TCS will provide 100% variable pay to approximately 70% of its employees for the April-June quarter, while compensation for the remaining staff will depend on business unit performance. Despite this ...
Tata Consultancy Services (TCS), India’s largest IT services firm, is set to lay off around 12,000 employees, about 2% of its global workforce, over the course of the year, the company confirmed in a ...
Tata Consultancy Services (TCS), India's largest IT services firm, has been undergoing a significant workforce realignment. Amid a period of rapid technological change and automation, the company is ...
The bulk of the previously announced layoffs at IT major Tata Consultancy Services (TCS) has been operationalised by the end of September, and only a few isolated cases remain under evaluation, ...
TCS layoffs sound alarm bells for senior techies, managers; CEO says ‘A very senior person may not…’
TCS plans to lay off 12,000 employees, mainly affecting middle and senior management. What CEO K Krithivasan said about the upcoming job cuts. Tata Consultancy Services (TCS), India’s largest IT ...
Tata Consultancy Services has implemented salary increases for most of its staff, ranging from 4.5-7%, effective September 1, following a five-month delay. These increments, applicable to employees up ...
Only 1%, or 6,000 people, have been affected by TCS layoffs, Chief HR Officer Sudeep Kunnumal said on Thursday, but the factsheets of the company’s latest quarterly results tell a different story ...
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Robots replace humans: Amazon, Meta, TCS, Microsoft announce massive layoffs as AI takes over
The companies that built themselves on human power are now building themselves on intelligent machines. What that means for the workforce is profound.
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